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doi:10.7910/DVN/NGY29G | Community-based distribution of oral HIV self-testing kits: experimental evidence from Zambia | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This file contains data collected during the HIVST study aggregated by community ID, whether the zones within the community were in the HIVST intervention, sex, age group, prior residence in the community and how individuals learnt their HIV status. Through aggregation, the data have been de-identified. The community names have also been changed to a number. The data includes the primary outcome variable knows_hiv_status, and secondary outcome variables accepted testing and participated. There are “derived” variables in the data. Derived variables have been developed based on the values of original variables, and mostly using information from >1 original variable. Please see the accompanying data dictionary for details of the variables included in the dataset.This project (code TW2.2.18) was funded under Thematic Window 2 on HIV self-testing.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'HIV; HIV self-testing; lay counsellors'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Community-based distribution of oral HIV self-testing kits: experimental evidence from Zambia' Description:'This file contains data collected during the HIVST study aggregated by community ID, whether the zones within the community were in the HIVST intervention, sex, age group, prior residence in the community and how individuals learnt their HIV status. Through aggregation, the data have been de-identified. The community names have also been changed to a number. The data includes the primary outcome variable knows_hiv_status, and secondary outcome variables accepted testing and participated. There are “derived” variables in the data. Derived variables have been developed based on the values of original variables, and mostly using information from >1 original variable. Please see the accompanying data dictionary for details of the variables included in the dataset.This project (code TW2.2.18) was funded under Thematic Window 2 on HIV self-testing.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This file contains data collected during the HIVST study aggregated by community ID, whether the zones within the community were in the HIVST intervention, sex, age group, prior residence in the community and how individuals learnt their HIV status. Through aggregation, the data have been de-identified. The community names have also been changed to a number. The data includes the primary outcome variable knows_hiv_status, and secondary outcome variables accepted testing and participated. There are “derived” variables in the data. Derived variables have been developed based on the values of original variables, and mostly using information from >1 original variable. Please see the accompanying data dictionary for details of the variables included in the dataset.This project (code TW2.2.18) was funded under Thematic Window 2 on HIV self-testing. | Medicine, Health and Life Sciences | HIV; HIV self-testing; lay counsellors |
doi:10.7910/DVN/NGZOPC | Sheep maternal and fetal precordial ECG | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'At 126dG, ECG was attached to near-term ewe and fetal shoulders, manubrium and xyphoid processes (n=13). Both maternal and fetal ECG signals were acquired simultaneously throughout the surgical instrumentation with fetal ECG serving as the ground-truth to which the fetal ECG signal extracted from the maternal ECG was compared. Maternal and fetal ECG signals were monitored continuously and digitized at 1000 Hz sampling rate with the 16 bit resolution (1902 and micro1401, both by CED, Cambridge, U.K.). Clinical information, like blood gas or demographic information, is provided. For details, please go to http://iopscience.iop.org/article/10.1088/1361-6579/aaaaa4/meta or the arxiv version http://arxiv.org/abs/1708.09526' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'sheep fetal ECG'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Sheep maternal and fetal precordial ECG' Description:'At 126dG, ECG was attached to near-term ewe and fetal shoulders, manubrium and xyphoid processes (n=13). Both maternal and fetal ECG signals were acquired simultaneously throughout the surgical instrumentation with fetal ECG serving as the ground-truth to which the fetal ECG signal extracted from the maternal ECG was compared. Maternal and fetal ECG signals were monitored continuously and digitized at 1000 Hz sampling rate with the 16 bit resolution (1902 and micro1401, both by CED, Cambridge, U.K.). Clinical information, like blood gas or demographic information, is provided. For details, please go to http://iopscience.iop.org/article/10.1088/1361-6579/aaaaa4/meta or the arxiv version http://arxiv.org/abs/1708.09526' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | At 126dG, ECG was attached to near-term ewe and fetal shoulders, manubrium and xyphoid processes (n=13). Both maternal and fetal ECG signals were acquired simultaneously throughout the surgical instrumentation with fetal ECG serving as the ground-truth to which the fetal ECG signal extracted from the maternal ECG was compared. Maternal and fetal ECG signals were monitored continuously and digitized at 1000 Hz sampling rate with the 16 bit resolution (1902 and micro1401, both by CED, Cambridge, U.K.). Clinical information, like blood gas or demographic information, is provided. For details, please go to http://iopscience.iop.org/article/10.1088/1361-6579/aaaaa4/meta or the arxiv version http://arxiv.org/abs/1708.09526 | Medicine, Health and Life Sciences | sheep fetal ECG |
doi:10.7910/DVN/NHC2PJ | Replication Data for: Dataset 'P3Numbers_20141124_f_17_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=524 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20141124_f_17_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=524' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NHTZXQ | 'Full Speed Ahead' on Hospital Job | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Daily Hampshire Gazette, July 28, 1922.Head of construction firm explains what will be done to clear site and start building foundations.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Clear site; Detroit, MI; Florence; Foundations; Fred Relchert; J.J. Brennan; Maine's Hill; Major John. J. Kilpatrick; Northampton, MA; Omaha, NE; Original nine buildings; Pontiac Construction Company; Site clearing'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :''Full Speed Ahead' on Hospital Job' Description:'Daily Hampshire Gazette, July 28, 1922.Head of construction firm explains what will be done to clear site and start building foundations.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Daily Hampshire Gazette, July 28, 1922.Head of construction firm explains what will be done to clear site and start building foundations. | Medicine, Health and Life Sciences | Clear site; Detroit, MI; Florence; Foundations; Fred Relchert; J.J. Brennan; Maine's Hill; Major John. J. Kilpatrick; Northampton, MA; Omaha, NE; Original nine buildings; Pontiac Construction Company; Site clearing |
doi:10.7910/DVN/NHU3MP | Policy analysis on municipal solid waste management in Dhaka South City Corporation, Bangladesh: a qualitative study | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The KIIs were conducted using a semistructured interview guideline supplemented by qualitative probing. Eight SWM officials from the Dhaka South City Corporation (DSCC), the Department of Environment (DoE), and the Japan International Cooperation Agency (JICA), with at least one year of working experience, were included in the study.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Solid waste, policy, waste management, environmental protection, pollution'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Policy analysis on municipal solid waste management in Dhaka South City Corporation, Bangladesh: a qualitative study' Description:'The KIIs were conducted using a semistructured interview guideline supplemented by qualitative probing. Eight SWM officials from the Dhaka South City Corporation (DSCC), the Department of Environment (DoE), and the Japan International Cooperation Agency (JICA), with at least one year of working experience, were included in the study.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | The KIIs were conducted using a semistructured interview guideline supplemented by qualitative probing. Eight SWM officials from the Dhaka South City Corporation (DSCC), the Department of Environment (DoE), and the Japan International Cooperation Agency (JICA), with at least one year of working experience, were included in the study. | Medicine, Health and Life Sciences | Solid waste, policy, waste management, environmental protection, pollution |
doi:10.7910/DVN/NHWLGJ | Replication Data for: Dataset 'P3Numbers_20150204_f_11_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=661 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150204_f_11_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=661' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NI0DQJ | Replication Data for: Dataset 'P3Numbers_20150126_f_13_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=642 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150126_f_13_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=642' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NIBGOQ | Single-Cell Level Estrogen Receptor Activity Data | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Single-Cell Level Estrogen Receptor Activity Data' Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development. | Computer and Information Science | Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling |
doi:10.7910/DVN/NIBGOQ | Single-Cell Level Estrogen Receptor Activity Data | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Single-Cell Level Estrogen Receptor Activity Data' Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development. | Earth and Environmental Sciences | Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling |
doi:10.7910/DVN/NIBGOQ | Single-Cell Level Estrogen Receptor Activity Data | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Single-Cell Level Estrogen Receptor Activity Data' Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development. | Engineering | Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling |
doi:10.7910/DVN/NIBGOQ | Single-Cell Level Estrogen Receptor Activity Data | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Single-Cell Level Estrogen Receptor Activity Data' Description:'This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names 'LMH10' and 'M50' are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development. | Medicine, Health and Life Sciences | Classification Analysis; Endocrine Disrupting Chemicals; Estrogen Receptor Activity; High-Throughput Microscopy; Machine Learning; Predictive Modeling |
doi:10.7910/DVN/NICGQV | DOES STRETCHING OF HAMSTRINGS STRETCH THE MUSCLE OR THE NEURAL TISSUE? EFFECT OF THREE STRETCHING MODALITIES FOR HAMSTRING MUSCLES ON GLOBAL FLEXIBILITY. RANDOMIZED CONTROLLED TRIAL | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ABSTRACTBackground: Stretching techniques for hamstrings muscles are described both to increase muscle length and to evaluate nerve mechanosensitivity. Therefore, the target tissue of these techniques is unknown. Ankle dorsiflexion, used as structural differentiation movement, has shown to produce differential biomechanical behaviour between sciatic nerve and hamstring muscles. The aim of the present study is to document the type of response (neural or muscular) produced by ankle dorsiflexion in three stretching modalities for hamstring muscles in asymptomatic subjects.Material and Methods: A single-blind randomized controlled trial was carried out. Thirty-five subjects were recruited. Straight-leg-raise, passive knee extension and maximum hip flexion were performed in the dominant leg, with an interval of one week. The type of response to structural differentiation, the global flexibility, the intensity and the localization of the sensory responses were assessed for each stretching modality after the technique application (T1) and 2 minutes later (T2). Results: All stretching techniques produced an increased global flexibility (p<0.05). The Straight-leg-raise produced the greatest increase at T1, showing a difference of 4.24cm in the modified back-saver sit-and-reach test (p<0.001). According to the structural differentiation, the Straight-leg-raise showed the greatest percentage of neural responses (77.1%). Conclusions: All stretching techniques increased global flexibility. The greatest percentage of neural responses was observed in the Straight-leg-raise modality, followed by the passive knee extension. This could suggest a potential effect of these techniques on nerve instead on muscle tissue. The Straight-leg-raise mode was the one that produced the greatest increase in global flexibility.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Flexibility; Hamstrings; Hamstrings; Stretching'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'DOES STRETCHING OF HAMSTRINGS STRETCH THE MUSCLE OR THE NEURAL TISSUE? EFFECT OF THREE STRETCHING MODALITIES FOR HAMSTRING MUSCLES ON GLOBAL FLEXIBILITY. RANDOMIZED CONTROLLED TRIAL' Description:'ABSTRACTBackground: Stretching techniques for hamstrings muscles are described both to increase muscle length and to evaluate nerve mechanosensitivity. Therefore, the target tissue of these techniques is unknown. Ankle dorsiflexion, used as structural differentiation movement, has shown to produce differential biomechanical behaviour between sciatic nerve and hamstring muscles. The aim of the present study is to document the type of response (neural or muscular) produced by ankle dorsiflexion in three stretching modalities for hamstring muscles in asymptomatic subjects.Material and Methods: A single-blind randomized controlled trial was carried out. Thirty-five subjects were recruited. Straight-leg-raise, passive knee extension and maximum hip flexion were performed in the dominant leg, with an interval of one week. The type of response to structural differentiation, the global flexibility, the intensity and the localization of the sensory responses were assessed for each stretching modality after the technique application (T1) and 2 minutes later (T2). Results: All stretching techniques produced an increased global flexibility (p<0.05). The Straight-leg-raise produced the greatest increase at T1, showing a difference of 4.24cm in the modified back-saver sit-and-reach test (p<0.001). According to the structural differentiation, the Straight-leg-raise showed the greatest percentage of neural responses (77.1%). Conclusions: All stretching techniques increased global flexibility. The greatest percentage of neural responses was observed in the Straight-leg-raise modality, followed by the passive knee extension. This could suggest a potential effect of these techniques on nerve instead on muscle tissue. The Straight-leg-raise mode was the one that produced the greatest increase in global flexibility.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | ABSTRACTBackground: Stretching techniques for hamstrings muscles are described both to increase muscle length and to evaluate nerve mechanosensitivity. Therefore, the target tissue of these techniques is unknown. Ankle dorsiflexion, used as structural differentiation movement, has shown to produce differential biomechanical behaviour between sciatic nerve and hamstring muscles. The aim of the present study is to document the type of response (neural or muscular) produced by ankle dorsiflexion in three stretching modalities for hamstring muscles in asymptomatic subjects.Material and Methods: A single-blind randomized controlled trial was carried out. Thirty-five subjects were recruited. Straight-leg-raise, passive knee extension and maximum hip flexion were performed in the dominant leg, with an interval of one week. The type of response to structural differentiation, the global flexibility, the intensity and the localization of the sensory responses were assessed for each stretching modality after the technique application (T1) and 2 minutes later (T2). Results: All stretching techniques produced an increased global flexibility (p<0.05). The Straight-leg-raise produced the greatest increase at T1, showing a difference of 4.24cm in the modified back-saver sit-and-reach test (p<0.001). According to the structural differentiation, the Straight-leg-raise showed the greatest percentage of neural responses (77.1%). Conclusions: All stretching techniques increased global flexibility. The greatest percentage of neural responses was observed in the Straight-leg-raise modality, followed by the passive knee extension. This could suggest a potential effect of these techniques on nerve instead on muscle tissue. The Straight-leg-raise mode was the one that produced the greatest increase in global flexibility. | Medicine, Health and Life Sciences | Flexibility; Hamstrings; Hamstrings; Stretching |
doi:10.7910/DVN/NIIRDQ | Vaccine uptake experience | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Many people expressed concern over coronavirus vaccinations’ reliability and side effects. This research aimed to assess university students’ perceptions and experiences regarding the side effects of the COVID-19 vaccines in Bangladesh.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Covid 19'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Vaccine uptake experience' Description:'Many people expressed concern over coronavirus vaccinations’ reliability and side effects. This research aimed to assess university students’ perceptions and experiences regarding the side effects of the COVID-19 vaccines in Bangladesh.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Many people expressed concern over coronavirus vaccinations’ reliability and side effects. This research aimed to assess university students’ perceptions and experiences regarding the side effects of the COVID-19 vaccines in Bangladesh. | Medicine, Health and Life Sciences | Covid 19 |
doi:10.7910/DVN/NILCAV | COVID-19 Behavior Determinants Database | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Behavioral determinant; COVID-19; COVID-19 related attitudes; COVID-19 related behaviors; survey'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'COVID-19 Behavior Determinants Database' Description:'COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission. | Medicine, Health and Life Sciences | Behavioral determinant; COVID-19; COVID-19 related attitudes; COVID-19 related behaviors; survey |
doi:10.7910/DVN/NILCAV | COVID-19 Behavior Determinants Database | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Behavioral determinant; COVID-19; COVID-19 related attitudes; COVID-19 related behaviors; survey'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'COVID-19 Behavior Determinants Database' Description:'COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | COVID-19 Behavior Determinants DatabaseThe COVID-19 Behavior Determinants Database is a research project that examined the sociodemographic and psychological determinants of COVID-19 related attitudes and behaviors. A comprehensive web-based survey was administered in adults ages 18 or older from:United States of America (n = 5326), including the four most populous states, specifically New York, California, Florida, and Texas, and Canada (n = 2744), including all provinces, except Quebec. The survey was collected at three timepoints, in May 2020, July 2020, and March 2021.Terms of UseThe database may be used, reproduced, and distributed only WITH prior written permission from the Centre for Addiction and Mental Health (CAMH). Written permission from CAMH and Licensing Agreement with CAMH is required if funded by a commercial entity or pharma.Referencing the COVID-19 Behavior Determinants DatabaseBy-line:Include the phrase 'for the COVID-19 Behavior Determinants group*' with the asterisk referring to the following statement:*'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com). The investigators within the COVID-19 Behavior Determinants group contributed to the design and implementation of the study.'The investigators are as follows:Philip Gerretsen, MD, PhDAriel Graff-Guerrero, MD, PhDJulia Kim, HBScFernando Caravaggio, PhDEric E. Brown, MD, MScLena Quilty, PhDSamantha Wells, MD, PhDBranka Agic, MD, PhDBruce G. Pollock, MD, PhDMethod Section:'Data used in the preparation of this article was obtained from the COVID-19 Behavior Determinants database (www.covid19-database.com).'Acknowledgments Section:'Data collection and sharing of this project was funded by the Centre for Addiction and Mental Health (CAMH) Foundation.'Link to PublicationsGerretsen P, Kim J, Caravaggio F, Quilty L, Sanches M, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Individual determinants of COVID-19 vaccine hesitancy. PLOS One. Under Submission.Gerretsen P, Kim J, Brown EE, Quilty L, Wells S, Caravaggio F, Sanches M, Agic B, Pollock BG, Graff-Guerrero A (2021). Determinants of Social Distancing Adherence. PLOS One. Under Submission.Gerretsen P, Kim J, Quilty L, Wells S, Brown EE, Agic B, Pollock BG, Graff-Guerrero A (2021). Vaccine hesitancy is a barrier to achieving equitable herd immunity among racial minorities. Frontiers Medicine, Infectious Diseases - Surveillance, Prevention and Treatment. Under Submission. | Social Sciences | Behavioral determinant; COVID-19; COVID-19 related attitudes; COVID-19 related behaviors; survey |
doi:10.7910/DVN/O73GTG | Proteome database of Raoultella planticola strain R3467 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Raoultella planticola is a Gram-negative anaerobic bacterium that has been implicated in urinary tract infections. Common in soil and water environment, the bacterium remains poorly understood, particularly with respect to its habitat preference, and pathogenesis mechanisms. This work presents the proteome database of R. planticola strain R3467 by parsing its annotated proteome downloaded from UniProt. Comprising protein name, amino acid sequence, number of residues, molecular weight, and nucleotide sequence of each protein in the proteome of the bacterium, the resource should be useful in functional genomics studies seeking to use gene knock-out to understand gene function, such as in the case of dissecting pathogenesis mechanisms mediated by the bacterium.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'molecular weight; number of residues; protein name; proteome database; Raoultella planticola'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Proteome database of Raoultella planticola strain R3467' Description:'Raoultella planticola is a Gram-negative anaerobic bacterium that has been implicated in urinary tract infections. Common in soil and water environment, the bacterium remains poorly understood, particularly with respect to its habitat preference, and pathogenesis mechanisms. This work presents the proteome database of R. planticola strain R3467 by parsing its annotated proteome downloaded from UniProt. Comprising protein name, amino acid sequence, number of residues, molecular weight, and nucleotide sequence of each protein in the proteome of the bacterium, the resource should be useful in functional genomics studies seeking to use gene knock-out to understand gene function, such as in the case of dissecting pathogenesis mechanisms mediated by the bacterium.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Raoultella planticola is a Gram-negative anaerobic bacterium that has been implicated in urinary tract infections. Common in soil and water environment, the bacterium remains poorly understood, particularly with respect to its habitat preference, and pathogenesis mechanisms. This work presents the proteome database of R. planticola strain R3467 by parsing its annotated proteome downloaded from UniProt. Comprising protein name, amino acid sequence, number of residues, molecular weight, and nucleotide sequence of each protein in the proteome of the bacterium, the resource should be useful in functional genomics studies seeking to use gene knock-out to understand gene function, such as in the case of dissecting pathogenesis mechanisms mediated by the bacterium. | Medicine, Health and Life Sciences | molecular weight; number of residues; protein name; proteome database; Raoultella planticola |
doi:10.7910/DVN/NIQSPX | Entendamos el COVID-19 en México | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'En el presente trabajo se acompañan los datos diarios de la epidemia COVID-19 en México. Para ello se discute uno de los modelos epidemiológico más básicos y se muestra como puede ser resuelto para analizar las cifras oficiales de los casos positivos identificados en la República Mexicana. Esto permite explorar la dinámica de las predicciones de su evolución, en un corto plazo. Adicionalmente, se explican los conceptos epidemiológicos más básicos y se hace énfasis en mostrar las herramientas computacionales que se requieren para ello.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Covid-19; Covid-19 in Mexico; SARS-COv-2'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Entendamos el COVID-19 en México' Description:'En el presente trabajo se acompañan los datos diarios de la epidemia COVID-19 en México. Para ello se discute uno de los modelos epidemiológico más básicos y se muestra como puede ser resuelto para analizar las cifras oficiales de los casos positivos identificados en la República Mexicana. Esto permite explorar la dinámica de las predicciones de su evolución, en un corto plazo. Adicionalmente, se explican los conceptos epidemiológicos más básicos y se hace énfasis en mostrar las herramientas computacionales que se requieren para ello.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | En el presente trabajo se acompañan los datos diarios de la epidemia COVID-19 en México. Para ello se discute uno de los modelos epidemiológico más básicos y se muestra como puede ser resuelto para analizar las cifras oficiales de los casos positivos identificados en la República Mexicana. Esto permite explorar la dinámica de las predicciones de su evolución, en un corto plazo. Adicionalmente, se explican los conceptos epidemiológicos más básicos y se hace énfasis en mostrar las herramientas computacionales que se requieren para ello. | Medicine, Health and Life Sciences | Covid-19; Covid-19 in Mexico; SARS-COv-2 |
doi:10.7910/DVN/O74UGK | MD simulation of PCNA from S. cerevisiae - Open model type 3 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'DNA clamp; molecular dynamics; PCNA'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'MD simulation of PCNA from S. cerevisiae - Open model type 3' Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' Subject:'Chemistry; Medicine, Health and Life Sciences; Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper). | Chemistry | DNA clamp; molecular dynamics; PCNA |
doi:10.7910/DVN/O74UGK | MD simulation of PCNA from S. cerevisiae - Open model type 3 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'DNA clamp; molecular dynamics; PCNA'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'MD simulation of PCNA from S. cerevisiae - Open model type 3' Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' Subject:'Chemistry; Medicine, Health and Life Sciences; Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper). | Medicine, Health and Life Sciences | DNA clamp; molecular dynamics; PCNA |
doi:10.7910/DVN/O74UGK | MD simulation of PCNA from S. cerevisiae - Open model type 3 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'DNA clamp; molecular dynamics; PCNA'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'MD simulation of PCNA from S. cerevisiae - Open model type 3' Description:'MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper).' Subject:'Chemistry; Medicine, Health and Life Sciences; Physics'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | MD trajectory of PCNA from S. cerevisiae is provided: A protein structure file (PSF) and dcd format trajectory file are included. The time step between frames is 100 ps. Water molecules and ions have been omitted. Steered molecular dynamics were used to open one of the interfaces (Open model 'type 3' in the paper). | Physics | DNA clamp; molecular dynamics; PCNA |
doi:10.7910/DVN/NIZ51Y | Teleconsulting_Appendix 1 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This document is an Appendix to a paper accepted for publication in the Canadian Veterinary Journal: 'Teleconsulting in the time of a global pandemic: application to anesthesia and technological considerations'.Disclaimer: this document was created to help in the peri-anesthetic management of a specific case by a dedicated veterinary team (Pang et al. 2020 Can Vet J). It is provided here to reflect aspects of the work involved in case planning and preparation. It is not intended to be used as a generic document for anesthetic management.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'anesthesia; checklist; cognitive aid; veterinary'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Teleconsulting_Appendix 1' Description:'This document is an Appendix to a paper accepted for publication in the Canadian Veterinary Journal: 'Teleconsulting in the time of a global pandemic: application to anesthesia and technological considerations'.Disclaimer: this document was created to help in the peri-anesthetic management of a specific case by a dedicated veterinary team (Pang et al. 2020 Can Vet J). It is provided here to reflect aspects of the work involved in case planning and preparation. It is not intended to be used as a generic document for anesthetic management.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This document is an Appendix to a paper accepted for publication in the Canadian Veterinary Journal: 'Teleconsulting in the time of a global pandemic: application to anesthesia and technological considerations'.Disclaimer: this document was created to help in the peri-anesthetic management of a specific case by a dedicated veterinary team (Pang et al. 2020 Can Vet J). It is provided here to reflect aspects of the work involved in case planning and preparation. It is not intended to be used as a generic document for anesthetic management. | Medicine, Health and Life Sciences | anesthesia; checklist; cognitive aid; veterinary |
doi:10.7910/DVN/NJ0TAQ | Coronavirus Information Data (Covid-19) and Temperature in Semarang City | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Coronavirus Information Data (Covid-19) and Temperature in Semarang City' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Covid; Temperature'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Coronavirus Information Data (Covid-19) and Temperature in Semarang City' Description:'Coronavirus Information Data (Covid-19) and Temperature in Semarang City' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Coronavirus Information Data (Covid-19) and Temperature in Semarang City | Medicine, Health and Life Sciences | Covid; Temperature |
doi:10.7910/DVN/NJGKWV | Deep learning neural network image analysis of immunohistochemical protein expression reveals a significantly reduced expression of Biglycan in breast cancer | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'histological photomicrographs after 'color deconvolution plugin' for hematoxylin and DAB built-in vector and original photomicrographs in lower magnifications stained with hematoxollin and DAB in cases with and without breast cancer' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Biglycan; breast cancer; immunohistochemistry'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Deep learning neural network image analysis of immunohistochemical protein expression reveals a significantly reduced expression of Biglycan in breast cancer' Description:'histological photomicrographs after 'color deconvolution plugin' for hematoxylin and DAB built-in vector and original photomicrographs in lower magnifications stained with hematoxollin and DAB in cases with and without breast cancer' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | histological photomicrographs after 'color deconvolution plugin' for hematoxylin and DAB built-in vector and original photomicrographs in lower magnifications stained with hematoxollin and DAB in cases with and without breast cancer | Medicine, Health and Life Sciences | Biglycan; breast cancer; immunohistochemistry |
doi:10.7910/DVN/NJWBL6 | Replication Data for: Dataset 'P3Numbers_20150618_f_11_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=344 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150618_f_11_001' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=344' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NK6VJF | Complejidad y Urbanismo: Del organismo a la ciudad | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes.'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Complejidad y Urbanismo: Del organismo a la ciudad' Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' Subject:'Medicine, Health and Life Sciences; Other; Physics; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | ebook: Complejidad y Urbanismo: Del organismo a la ciudad | Medicine, Health and Life Sciences | Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes. |
doi:10.7910/DVN/NK6VJF | Complejidad y Urbanismo: Del organismo a la ciudad | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes.'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Complejidad y Urbanismo: Del organismo a la ciudad' Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' Subject:'Medicine, Health and Life Sciences; Other; Physics; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | ebook: Complejidad y Urbanismo: Del organismo a la ciudad | Other | Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes. |
doi:10.7910/DVN/NK6VJF | Complejidad y Urbanismo: Del organismo a la ciudad | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes.'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Complejidad y Urbanismo: Del organismo a la ciudad' Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' Subject:'Medicine, Health and Life Sciences; Other; Physics; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | ebook: Complejidad y Urbanismo: Del organismo a la ciudad | Physics | Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes. |
doi:10.7910/DVN/NK6VJF | Complejidad y Urbanismo: Del organismo a la ciudad | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes.'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Complejidad y Urbanismo: Del organismo a la ciudad' Description:'ebook: Complejidad y Urbanismo: Del organismo a la ciudad' Subject:'Medicine, Health and Life Sciences; Other; Physics; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | ebook: Complejidad y Urbanismo: Del organismo a la ciudad | Social Sciences | Urbanismo, ecología humana, ciudades, urbes, autoorganización, complejidad ciencia y sociedad, humanismo, sistemas complejos, física no-lineal, pensamiento complejo, economía, redes. |
doi:10.7910/DVN/NKFCKF | Ecosystem in health | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'the database contains the search for innovation ecosystems where only health ones will be filtered' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'innovation'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Ecosystem in health' Description:'the database contains the search for innovation ecosystems where only health ones will be filtered' Subject:'Business and Management; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | the database contains the search for innovation ecosystems where only health ones will be filtered | Business and Management | innovation |
doi:10.7910/DVN/NKFCKF | Ecosystem in health | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'the database contains the search for innovation ecosystems where only health ones will be filtered' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'innovation'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Ecosystem in health' Description:'the database contains the search for innovation ecosystems where only health ones will be filtered' Subject:'Business and Management; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | the database contains the search for innovation ecosystems where only health ones will be filtered | Medicine, Health and Life Sciences | innovation |
doi:10.7910/DVN/NKPGEV | Passages Project: Masculinité, Famille, et Foi (MFF) Intervention Baseline Men's Survey (Subset) | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'contraception; family planning; gender; social norms'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Passages Project: Masculinité, Famille, et Foi (MFF) Intervention Baseline Men's Survey (Subset)' Description:'In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors. | Medicine, Health and Life Sciences | contraception; family planning; gender; social norms |
doi:10.7910/DVN/NKPGEV | Passages Project: Masculinité, Famille, et Foi (MFF) Intervention Baseline Men's Survey (Subset) | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'contraception; family planning; gender; social norms'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Passages Project: Masculinité, Famille, et Foi (MFF) Intervention Baseline Men's Survey (Subset)' Description:'In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | In partnership with a team of global health experts—Georgetown’s Institute for Reproductive Health (IRH), FHI 360, Johns Hopkins Global Early Adolescent Study (GEAS), Population Services International (PSI), Save the Children, and Tearfund—the Passages Project is working to establish an evidence base on scalable social norm change approaches that reduce stigma and myths related to FP use, increase male engagement in FP, reduce sexual and GBV, and improve gender-equitable attitudes and behaviors. Tearfund, a Passages partner, is a Christian relief and development agency that works locally in Kinshasa. Starting in 2014, Tearfund developed and collected evidence to demonstrate the effectiveness of an intervention approach, known locally as the Transforming Masculinities (TM) approach, which engages religious leaders and faith communities to encourage reflection, discussion, and action to promote gender-equitable beliefs with the goal of reducing GBV. As part of the Passages project, partner organizations added components to the original TM curriculum approach that focus on use of FP methods, developing the new enhanced intervention known locally as Masculinité, Famille, et Foi (MFF). These data are drawn from a baseline MFF survey conducted between September 2016 and February 2017 with 407 male community members belonging to 17 communities serviced by MFF in Kinshasa, Democratic Republic of the Congo (DRC). The survey included questions on demographics, attitudes, behaviors, and social norms. The survey was informed by two formative phases of research. One was undertaken in the Ituri Province in northeastern DRC prior to the original conceptualization of the Transforming Masculinities intervention approach, and the other was an exploration of social norms conducted in Kinshasa in early 2016. Both formative phases utilized participatory qualitative techniques and confirmed a range of social norms influential for target behaviors. | Social Sciences | contraception; family planning; gender; social norms |
doi:10.7910/DVN/NKPRRG | Replication Data for: Dataset 'P3Numbers_20150526_m_13_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=722 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150526_m_13_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=722' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NKPXYL | PPR Seri Pantai_ Association between QoL and mental health | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes data obtained from this cross-sectional study carried out among residents of an urban poor community in Kuala Lumpur, Malaysia during the ongoing COVID-19 lockdown. Ethical clearance was obtained and all participants consented for their participation in this study.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Quality of life,Depression,Anxiety,Stress,Association'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'PPR Seri Pantai_ Association between QoL and mental health' Description:'This dataset includes data obtained from this cross-sectional study carried out among residents of an urban poor community in Kuala Lumpur, Malaysia during the ongoing COVID-19 lockdown. Ethical clearance was obtained and all participants consented for their participation in this study.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset includes data obtained from this cross-sectional study carried out among residents of an urban poor community in Kuala Lumpur, Malaysia during the ongoing COVID-19 lockdown. Ethical clearance was obtained and all participants consented for their participation in this study. | Medicine, Health and Life Sciences | Quality of life,Depression,Anxiety,Stress,Association |
doi:10.7910/DVN/NL3JOR | Physiological and sprint-kinetics are not associated with YYIR1 performances in soccer players | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Dataset for 23 participants that completed a YYIR1 test, maximal sprint speed test, and portable spirometry' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'intermittent shuttle run, VO2 kinetics, HR kinetics'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Physiological and sprint-kinetics are not associated with YYIR1 performances in soccer players' Description:'Dataset for 23 participants that completed a YYIR1 test, maximal sprint speed test, and portable spirometry' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Dataset for 23 participants that completed a YYIR1 test, maximal sprint speed test, and portable spirometry | Medicine, Health and Life Sciences | intermittent shuttle run, VO2 kinetics, HR kinetics |
doi:10.7910/DVN/NMQCSF | The hidden financial burden of healthcare: a systematic literature review of informal payments in Sub-Saharan Africa | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Informal payments limit equitable access to health services. Despite being common, in-depth examination of informal charging practices in Sub-Saharan Africa is lacking. We therefore conducted a systematic literature review to synthesize evidence on the prevalence, characteristics, determinants, and impact of informal payments in SSA.The materials provided include characteristics of studies included in the review and the search strategies used to identify relevant literature across various electronic databases.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Health; Informal payments; Review; Sub-Saharan Africa'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'The hidden financial burden of healthcare: a systematic literature review of informal payments in Sub-Saharan Africa' Description:'Informal payments limit equitable access to health services. Despite being common, in-depth examination of informal charging practices in Sub-Saharan Africa is lacking. We therefore conducted a systematic literature review to synthesize evidence on the prevalence, characteristics, determinants, and impact of informal payments in SSA.The materials provided include characteristics of studies included in the review and the search strategies used to identify relevant literature across various electronic databases.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Informal payments limit equitable access to health services. Despite being common, in-depth examination of informal charging practices in Sub-Saharan Africa is lacking. We therefore conducted a systematic literature review to synthesize evidence on the prevalence, characteristics, determinants, and impact of informal payments in SSA.The materials provided include characteristics of studies included in the review and the search strategies used to identify relevant literature across various electronic databases. | Medicine, Health and Life Sciences | Health; Informal payments; Review; Sub-Saharan Africa |
doi:10.7910/DVN/NM1G67 | Replication Data for: The logics of COVID-19 travel restrictions between European countries | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Covid-19; SARS-CoV-2; travel restrictions'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The logics of COVID-19 travel restrictions between European countries' Description:'Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic. | Medicine, Health and Life Sciences | Covid-19; SARS-CoV-2; travel restrictions |
doi:10.7910/DVN/NM1G67 | Replication Data for: The logics of COVID-19 travel restrictions between European countries | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Covid-19; SARS-CoV-2; travel restrictions'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The logics of COVID-19 travel restrictions between European countries' Description:'Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics.Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic.Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness.Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic. | Social Sciences | Covid-19; SARS-CoV-2; travel restrictions |
doi:10.7910/DVN/NMCKWV | GC/MS Simulated Data Sets normalized using Batch Normalizer | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using Batch Normalizer (Wang et al. 2012).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'metabolomics'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'GC/MS Simulated Data Sets normalized using Batch Normalizer ' Description:'1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using Batch Normalizer (Wang et al. 2012).' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | 1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using Batch Normalizer (Wang et al. 2012). | Medicine, Health and Life Sciences | metabolomics |
doi:10.7910/DVN/NMFVOY | Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Main_Women.txt | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Same as 'EduYears_Main.txt' but females only.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Educational attainment; Genetics; GWAS'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Main_Women.txt' Description:'Same as 'EduYears_Main.txt' but females only.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Same as 'EduYears_Main.txt' but females only. | Medicine, Health and Life Sciences | Educational attainment; Genetics; GWAS |
doi:10.7910/DVN/NMFVOY | Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Main_Women.txt | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Same as 'EduYears_Main.txt' but females only.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Educational attainment; Genetics; GWAS'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Main_Women.txt' Description:'Same as 'EduYears_Main.txt' but females only.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Same as 'EduYears_Main.txt' but females only. | Social Sciences | Educational attainment; Genetics; GWAS |
doi:10.7910/DVN/NMI01E | Replication Data for: Dataset 'P3Numbers_20150414_f_11_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=407 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150414_f_11_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=407' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NMYKGI | Dwarf palmetto (Sabal minor) cold damage supplementary information | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This contains supplementary information for the article, 'Little evidence of leaf damage to dwarf palmetto (Sabal minor; Arecaceae) during an unusual arctic outbreak'. Specifically, it contains a *.pdf showing temperatures during February 2021 for weather stations near the study sites described in the paper.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Sabal minor'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Dwarf palmetto (Sabal minor) cold damage supplementary information' Description:'This contains supplementary information for the article, 'Little evidence of leaf damage to dwarf palmetto (Sabal minor; Arecaceae) during an unusual arctic outbreak'. Specifically, it contains a *.pdf showing temperatures during February 2021 for weather stations near the study sites described in the paper.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This contains supplementary information for the article, 'Little evidence of leaf damage to dwarf palmetto (Sabal minor; Arecaceae) during an unusual arctic outbreak'. Specifically, it contains a *.pdf showing temperatures during February 2021 for weather stations near the study sites described in the paper. | Medicine, Health and Life Sciences | Sabal minor |
doi:10.7910/DVN/NNAETE | Digging adaptations in psammophilous beetle larvae | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data presenting measurements and models of larval stages of Gonopus tibialis, Parastizopus armaticeps, and Tenebrio monitor.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Tenebrionidae, larva, digging'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Digging adaptations in psammophilous beetle larvae' Description:'Data presenting measurements and models of larval stages of Gonopus tibialis, Parastizopus armaticeps, and Tenebrio monitor.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Data presenting measurements and models of larval stages of Gonopus tibialis, Parastizopus armaticeps, and Tenebrio monitor. | Medicine, Health and Life Sciences | Tenebrionidae, larva, digging |
doi:10.7910/DVN/NNATZM | Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alcohol drinking, legislation & jurisprudence; Driving under the influence; non-randomized controlled trials; Systematic review; Traffic accidents'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' Description:'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies | Medicine, Health and Life Sciences | Alcohol drinking, legislation & jurisprudence; Driving under the influence; non-randomized controlled trials; Systematic review; Traffic accidents |
doi:10.7910/DVN/NNATZM | Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alcohol drinking, legislation & jurisprudence; Driving under the influence; non-randomized controlled trials; Systematic review; Traffic accidents'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' Description:'Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Replication Data for: Navigating the absence of data on drinking under the influence of alcohol in road traffic studies: a systematic review without meta-analysis of quasi-experimental studies of alcohol policies | Social Sciences | Alcohol drinking, legislation & jurisprudence; Driving under the influence; non-randomized controlled trials; Systematic review; Traffic accidents |
doi:10.7910/DVN/NNBTOI | Myanmar (2016): FPwatch Family Planning Outlet Survey | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'3MDG; Cross-sectional; Gates Foundation; Long-term methods; Mixed Methods; Modern contraceptive use; Reproductive Health; Short-term methods'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Myanmar (2016): FPwatch Family Planning Outlet Survey' Description:'The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. ' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. | Medicine, Health and Life Sciences | 3MDG; Cross-sectional; Gates Foundation; Long-term methods; Mixed Methods; Modern contraceptive use; Reproductive Health; Short-term methods |
doi:10.7910/DVN/NNBTOI | Myanmar (2016): FPwatch Family Planning Outlet Survey | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'3MDG; Cross-sectional; Gates Foundation; Long-term methods; Mixed Methods; Modern contraceptive use; Reproductive Health; Short-term methods'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Myanmar (2016): FPwatch Family Planning Outlet Survey' Description:'The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. ' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | The objective of the FPwatch study in Myanmar is to provide information relevant for policy, strategy and funding decisions about family planning market composition and readiness for family planning services. The FPwatch outlet survey is a quantitative cross-sectional survey conducted among a representative sample of family planning product outlets. | Social Sciences | 3MDG; Cross-sectional; Gates Foundation; Long-term methods; Mixed Methods; Modern contraceptive use; Reproductive Health; Short-term methods |
doi:10.7910/DVN/NNFHG9 | Face Mask Dataset | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains many images of faces with masks. And it is divided into three parts: Train, Test, Validation' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Face Mask Detection'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Face Mask Dataset' Description:'This dataset contains many images of faces with masks. And it is divided into three parts: Train, Test, Validation' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset contains many images of faces with masks. And it is divided into three parts: Train, Test, Validation | Medicine, Health and Life Sciences | Face Mask Detection |
doi:10.7910/DVN/NNRS0R | An Evaluation Guide for Faculty Development Programs for Health Professions Schools: a Qualitative Analysis | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a dateset for the manuscript An Evaluation Guide for Faculty Development Programs for Health Professions Schools: a Qualitative Analysis' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Faculty Development, Evaluation, Indicator'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'An Evaluation Guide for Faculty Development Programs for Health Professions Schools: a Qualitative Analysis' Description:'This is a dateset for the manuscript An Evaluation Guide for Faculty Development Programs for Health Professions Schools: a Qualitative Analysis' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This is a dateset for the manuscript An Evaluation Guide for Faculty Development Programs for Health Professions Schools: a Qualitative Analysis | Medicine, Health and Life Sciences | Faculty Development, Evaluation, Indicator |
doi:10.7910/DVN/NNVTTD | Supplementary Data 1-4 for 'Sustained High Rates of Morphological Evolution During the Rise of Tetrapods' | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Supplementary Data 1-4 including modified morphological dataset; updated character list; tables and input data for statistical analysis; R scripts used for all analyses' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Diversification times; Evolutionary rates; Macroevolution; Morphological clocks; Tetrapods'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Supplementary Data 1-4 for 'Sustained High Rates of Morphological Evolution During the Rise of Tetrapods'' Description:'Supplementary Data 1-4 including modified morphological dataset; updated character list; tables and input data for statistical analysis; R scripts used for all analyses' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Supplementary Data 1-4 including modified morphological dataset; updated character list; tables and input data for statistical analysis; R scripts used for all analyses | Medicine, Health and Life Sciences | Diversification times; Evolutionary rates; Macroevolution; Morphological clocks; Tetrapods |
doi:10.7910/DVN/NONG4X | The influence of anthropometry, age, gender and activity level on dynamic postural control | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Test measurements for selected HSEBT reaches and age with identifiers for gender and type of activity' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Dynamic postural control'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'The influence of anthropometry, age, gender and activity level on dynamic postural control' Description:'Test measurements for selected HSEBT reaches and age with identifiers for gender and type of activity' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Test measurements for selected HSEBT reaches and age with identifiers for gender and type of activity | Medicine, Health and Life Sciences | Dynamic postural control |
doi:10.7910/DVN/NOOUQF | Patient knowledge of fecal calprotectin in inflammatory bowel disease (IBD): An observational study in Mexico | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Background: Fecal calprotectin (FC) can be a valuable tool to optimize health care for patients with inflammatory bowel disease (IBD). The objective of this observational study was to determine the level of knowledge of the FC test in Mexican patients with IBD. Methods: A self-reported questionnaire was distributed via Facebook to patients with IBD. The survey consisted of 15 questions in two categories: the first category assessed knowledge of IBD diagnosis, and the second category assessed knowledge of the FC test. Results: In total, 460 patients with IBD participated, of which 83.9% (386) had ulcerative colitis (UC) and 16.0% (74) had Crohn’s disease (CD). Regarding IBD diagnosis, 41.9% of participants stated that they did not know of a non-invasive test for fecal matter to identify inflammation of the colon. Regarding the FC test, 57.5% (UC) and 58.1% (CD) stated that they did not know about the test. Additionally, 65.8% (UC) and 51.3% (CD) of participants stated that they had never received the FC test and 82.6% (UC) and 77.0% (CD) recognized that the FC test was difficult to access in their medical practice. Furthermore, 66% (UC) and 52.7% (CD) of participants noted that their specialist doctor had never suggested the FC test to them, yet 89.1% (UC) and 87.8% (CD) stated that they would prefer FC analysis for their IBD follow-up assessments. Conclusions: There is little knowledge of the FC biomarker among Mexican patients with IBD. This suggests the need for greater dissemination of its use and scope as a biomarker in IBD.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Inflammatory bowel disease, IBD, Fecal calprotectin, Ulcerative colitis, Crohn’s disease, Observational study, Survey'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Patient knowledge of fecal calprotectin in inflammatory bowel disease (IBD): An observational study in Mexico' Description:'Background: Fecal calprotectin (FC) can be a valuable tool to optimize health care for patients with inflammatory bowel disease (IBD). The objective of this observational study was to determine the level of knowledge of the FC test in Mexican patients with IBD. Methods: A self-reported questionnaire was distributed via Facebook to patients with IBD. The survey consisted of 15 questions in two categories: the first category assessed knowledge of IBD diagnosis, and the second category assessed knowledge of the FC test. Results: In total, 460 patients with IBD participated, of which 83.9% (386) had ulcerative colitis (UC) and 16.0% (74) had Crohn’s disease (CD). Regarding IBD diagnosis, 41.9% of participants stated that they did not know of a non-invasive test for fecal matter to identify inflammation of the colon. Regarding the FC test, 57.5% (UC) and 58.1% (CD) stated that they did not know about the test. Additionally, 65.8% (UC) and 51.3% (CD) of participants stated that they had never received the FC test and 82.6% (UC) and 77.0% (CD) recognized that the FC test was difficult to access in their medical practice. Furthermore, 66% (UC) and 52.7% (CD) of participants noted that their specialist doctor had never suggested the FC test to them, yet 89.1% (UC) and 87.8% (CD) stated that they would prefer FC analysis for their IBD follow-up assessments. Conclusions: There is little knowledge of the FC biomarker among Mexican patients with IBD. This suggests the need for greater dissemination of its use and scope as a biomarker in IBD.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Background: Fecal calprotectin (FC) can be a valuable tool to optimize health care for patients with inflammatory bowel disease (IBD). The objective of this observational study was to determine the level of knowledge of the FC test in Mexican patients with IBD. Methods: A self-reported questionnaire was distributed via Facebook to patients with IBD. The survey consisted of 15 questions in two categories: the first category assessed knowledge of IBD diagnosis, and the second category assessed knowledge of the FC test. Results: In total, 460 patients with IBD participated, of which 83.9% (386) had ulcerative colitis (UC) and 16.0% (74) had Crohn’s disease (CD). Regarding IBD diagnosis, 41.9% of participants stated that they did not know of a non-invasive test for fecal matter to identify inflammation of the colon. Regarding the FC test, 57.5% (UC) and 58.1% (CD) stated that they did not know about the test. Additionally, 65.8% (UC) and 51.3% (CD) of participants stated that they had never received the FC test and 82.6% (UC) and 77.0% (CD) recognized that the FC test was difficult to access in their medical practice. Furthermore, 66% (UC) and 52.7% (CD) of participants noted that their specialist doctor had never suggested the FC test to them, yet 89.1% (UC) and 87.8% (CD) stated that they would prefer FC analysis for their IBD follow-up assessments. Conclusions: There is little knowledge of the FC biomarker among Mexican patients with IBD. This suggests the need for greater dissemination of its use and scope as a biomarker in IBD. | Medicine, Health and Life Sciences | Inflammatory bowel disease, IBD, Fecal calprotectin, Ulcerative colitis, Crohn’s disease, Observational study, Survey |
doi:10.7910/DVN/NOSYLW | Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These data are the residual time-series from the 6 ROI's used in the paper, which have undergone the pre-processing steps as described in the 'Image acquisition and pre-processing' section of the paper.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Anticorrelation; Connectomics; Default mode network; Dynamic functional connectivity; Functional magnetic resonance imaging; Resting-state; Spectral analysis; Temporal Lobe Epilepsy'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity' Description:'These data are the residual time-series from the 6 ROI's used in the paper, which have undergone the pre-processing steps as described in the 'Image acquisition and pre-processing' section of the paper.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | These data are the residual time-series from the 6 ROI's used in the paper, which have undergone the pre-processing steps as described in the 'Image acquisition and pre-processing' section of the paper. | Medicine, Health and Life Sciences | Anticorrelation; Connectomics; Default mode network; Dynamic functional connectivity; Functional magnetic resonance imaging; Resting-state; Spectral analysis; Temporal Lobe Epilepsy |
doi:10.7910/DVN/NOTZRV | Replication Data for: The President's Emergency Plan for AIDS Relief and adult mortality: a replication study of HIV development assistance effects in Sub-Saharan African countries | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The SAS file can be used to produce the tables and figures presented in the replication paper'The President's Emergency Plan for AIDS Relief and adult mortality: a replication study of HIV development assistance effects in Sub-Saharan African countries'.Data to run the SAS file can be obtain at https://www.dhsprogram.com/Data.Note: The data are STATA datasets. There are three required datasets - covout_narrow.dta, wgi givt effectiveness.dta, and WideMerge_v1.dta' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Africa; HIV infection; President's Emergency Plan for AIDS relief (PEPFAR); prevention'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The President's Emergency Plan for AIDS Relief and adult mortality: a replication study of HIV development assistance effects in Sub-Saharan African countries' Description:'The SAS file can be used to produce the tables and figures presented in the replication paper'The President's Emergency Plan for AIDS Relief and adult mortality: a replication study of HIV development assistance effects in Sub-Saharan African countries'.Data to run the SAS file can be obtain at https://www.dhsprogram.com/Data.Note: The data are STATA datasets. There are three required datasets - covout_narrow.dta, wgi givt effectiveness.dta, and WideMerge_v1.dta' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | The SAS file can be used to produce the tables and figures presented in the replication paper'The President's Emergency Plan for AIDS Relief and adult mortality: a replication study of HIV development assistance effects in Sub-Saharan African countries'.Data to run the SAS file can be obtain at https://www.dhsprogram.com/Data.Note: The data are STATA datasets. There are three required datasets - covout_narrow.dta, wgi givt effectiveness.dta, and WideMerge_v1.dta | Medicine, Health and Life Sciences | Africa; HIV infection; President's Emergency Plan for AIDS relief (PEPFAR); prevention |
doi:10.7910/DVN/NOUWZY | Clinical implementation of routine whole-genome sequencing for hospital infection control of multi-drug resistant pathogens | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Supplementary table to describe clinical meta-data associated with genomes of multi-drug resistant bacteria identified in Queensland hospitals' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Whole genome sequencing, infection control'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Clinical implementation of routine whole-genome sequencing for hospital infection control of multi-drug resistant pathogens' Description:'Supplementary table to describe clinical meta-data associated with genomes of multi-drug resistant bacteria identified in Queensland hospitals' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Supplementary table to describe clinical meta-data associated with genomes of multi-drug resistant bacteria identified in Queensland hospitals | Medicine, Health and Life Sciences | Whole genome sequencing, infection control |
doi:10.7910/DVN/NOW6SG | How Annals of Dermatology Has Improved the Scientific Quality and Ethical Standards of its Articles in the Two-Year Period since October 2018 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Annals of Dermatology has not been deposited in PubMed Central (PMC) since October 2018 due to inadequate scientific quality, including the absence of informed consent in three case reports with patients’ photos. This study examined the readiness of Annals of Dermatology to be deposited in PMC again by analyzing the 13 issues published from October 2018 to August 2020. The journal’s scientific quality and ethical standards were assessed, and adherence to these standards was documented. In total, 259 articles were analyzed for ethical standards, including institutional review board (IRB) approval, an informed consent statement, and disclosure of conflicts of interest. Scientific quality was also checked for each article. Of the 129 original articles or brief reports presenting research on human subjects or human-derived materials, 111 studies received IRB approval and/or obtained informed consent. The other seven studies were data analyses or studies of purchased cultured cells. One study that used a post-circumcision foreskin sample contained no statement describing permission from the patient’s family, but the researchers were found to have obtained informed consent. In all 152 case presentations, the authors obtained informed consent. All seven animal experiments received Institutional Animal Care and Use Committee approval. One review article did not disclose conflicts of interest, but this was an editorial error. Two systematic reviews adopted the PRISMA guidelines. In conclusion, the present publication policies, scientific quality, and ethical standards of the journal are top-tier internationally. Annals of Dermatology may be ready to apply to PMC again.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Conflict of interest, Dermatology, Disclosure, Informed Consent, Research design, Research ethics committees'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'How Annals of Dermatology Has Improved the Scientific Quality and Ethical Standards of its Articles in the Two-Year Period since October 2018' Description:'Annals of Dermatology has not been deposited in PubMed Central (PMC) since October 2018 due to inadequate scientific quality, including the absence of informed consent in three case reports with patients’ photos. This study examined the readiness of Annals of Dermatology to be deposited in PMC again by analyzing the 13 issues published from October 2018 to August 2020. The journal’s scientific quality and ethical standards were assessed, and adherence to these standards was documented. In total, 259 articles were analyzed for ethical standards, including institutional review board (IRB) approval, an informed consent statement, and disclosure of conflicts of interest. Scientific quality was also checked for each article. Of the 129 original articles or brief reports presenting research on human subjects or human-derived materials, 111 studies received IRB approval and/or obtained informed consent. The other seven studies were data analyses or studies of purchased cultured cells. One study that used a post-circumcision foreskin sample contained no statement describing permission from the patient’s family, but the researchers were found to have obtained informed consent. In all 152 case presentations, the authors obtained informed consent. All seven animal experiments received Institutional Animal Care and Use Committee approval. One review article did not disclose conflicts of interest, but this was an editorial error. Two systematic reviews adopted the PRISMA guidelines. In conclusion, the present publication policies, scientific quality, and ethical standards of the journal are top-tier internationally. Annals of Dermatology may be ready to apply to PMC again.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Annals of Dermatology has not been deposited in PubMed Central (PMC) since October 2018 due to inadequate scientific quality, including the absence of informed consent in three case reports with patients’ photos. This study examined the readiness of Annals of Dermatology to be deposited in PMC again by analyzing the 13 issues published from October 2018 to August 2020. The journal’s scientific quality and ethical standards were assessed, and adherence to these standards was documented. In total, 259 articles were analyzed for ethical standards, including institutional review board (IRB) approval, an informed consent statement, and disclosure of conflicts of interest. Scientific quality was also checked for each article. Of the 129 original articles or brief reports presenting research on human subjects or human-derived materials, 111 studies received IRB approval and/or obtained informed consent. The other seven studies were data analyses or studies of purchased cultured cells. One study that used a post-circumcision foreskin sample contained no statement describing permission from the patient’s family, but the researchers were found to have obtained informed consent. In all 152 case presentations, the authors obtained informed consent. All seven animal experiments received Institutional Animal Care and Use Committee approval. One review article did not disclose conflicts of interest, but this was an editorial error. Two systematic reviews adopted the PRISMA guidelines. In conclusion, the present publication policies, scientific quality, and ethical standards of the journal are top-tier internationally. Annals of Dermatology may be ready to apply to PMC again. | Medicine, Health and Life Sciences | Conflict of interest, Dermatology, Disclosure, Informed Consent, Research design, Research ethics committees |
doi:10.7910/DVN/NP4FKA | Demographics and anthropometrics data of of Samarinda Sarong female weavers | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set is a part of research result on the Musculoskeletal disorders prevalence of Samarinda Sarong female weavers. Samarinda Sarong is an iconic handy-craft from Samarinda East Kalimantan Indonesia. Traditional handloom is used by the female weavers ti produce Samarinda Sarong. This data set described the survey result for demographic and anthropometric data of Samarinda Sarong female weavers.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Anthropometric'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Demographics and anthropometrics data of of Samarinda Sarong female weavers' Description:'This data set is a part of research result on the Musculoskeletal disorders prevalence of Samarinda Sarong female weavers. Samarinda Sarong is an iconic handy-craft from Samarinda East Kalimantan Indonesia. Traditional handloom is used by the female weavers ti produce Samarinda Sarong. This data set described the survey result for demographic and anthropometric data of Samarinda Sarong female weavers.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This data set is a part of research result on the Musculoskeletal disorders prevalence of Samarinda Sarong female weavers. Samarinda Sarong is an iconic handy-craft from Samarinda East Kalimantan Indonesia. Traditional handloom is used by the female weavers ti produce Samarinda Sarong. This data set described the survey result for demographic and anthropometric data of Samarinda Sarong female weavers. | Medicine, Health and Life Sciences | Anthropometric |
doi:10.7910/DVN/NQ24JI | Replication Data for: Dataset 'P3Numbers_20150514_f_10_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=695 | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'EEG; Event related potential; P300'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Dataset 'P3Numbers_20150514_f_10_002' available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=695' Description:'Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format. | Medicine, Health and Life Sciences | EEG; Event related potential; P300 |
doi:10.7910/DVN/NQ3V5D | Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Discovery_5000.txt | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Educational attainment; Genetics; GWAS'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Discovery_5000.txt' Description:'All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs. | Medicine, Health and Life Sciences | Educational attainment; Genetics; GWAS |
doi:10.7910/DVN/NQ3V5D | Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Discovery_5000.txt | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Educational attainment; Genetics; GWAS'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Genome-wide association study identifies 74 loci associated with educational attainment -- EduYears_Discovery_5000.txt' Description:'All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs.' Subject:'Medicine, Health and Life Sciences; Social Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | All discovery cohorts (including 23andMe). Pruned set of 5,000 SNPs. | Social Sciences | Educational attainment; Genetics; GWAS |
doi:10.7910/DVN/NQCN2E | Replication Data for: Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a replication dataset for the manuscript titled: 'Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor.' Our aim was to determine albumin-independent differences in pathophysiology between Severe wasting and kwashiorkor to inform targeted prevention and treatment strategies . We used the F75 reformulation clinical trail to discover mechanisms that distinguish severe wasting from kwashiorkor beyond albumin. This sub-cohort comprised children with kwashiorkor and marasmus who had been matched on exact serum albumin levels. Plasma samples from the discovery sub-cohort were subjected to untargeted liquid chromatography tandem mass tag (TMT)-based proteomics and targeted metabolomics (Biocrates™ p 180). Other targeted assays included ELISA and Luminex. The findings from the discovery cohort were validated using a subset of the daily cotrimoxazole trial data and samples.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'kwashiorkor; metabolomics; oedematous severe malnutrition; proteomics; severe acute malnutrition'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor' Description:'This is a replication dataset for the manuscript titled: 'Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor.' Our aim was to determine albumin-independent differences in pathophysiology between Severe wasting and kwashiorkor to inform targeted prevention and treatment strategies . We used the F75 reformulation clinical trail to discover mechanisms that distinguish severe wasting from kwashiorkor beyond albumin. This sub-cohort comprised children with kwashiorkor and marasmus who had been matched on exact serum albumin levels. Plasma samples from the discovery sub-cohort were subjected to untargeted liquid chromatography tandem mass tag (TMT)-based proteomics and targeted metabolomics (Biocrates™ p 180). Other targeted assays included ELISA and Luminex. The findings from the discovery cohort were validated using a subset of the daily cotrimoxazole trial data and samples.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This is a replication dataset for the manuscript titled: 'Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor.' Our aim was to determine albumin-independent differences in pathophysiology between Severe wasting and kwashiorkor to inform targeted prevention and treatment strategies . We used the F75 reformulation clinical trail to discover mechanisms that distinguish severe wasting from kwashiorkor beyond albumin. This sub-cohort comprised children with kwashiorkor and marasmus who had been matched on exact serum albumin levels. Plasma samples from the discovery sub-cohort were subjected to untargeted liquid chromatography tandem mass tag (TMT)-based proteomics and targeted metabolomics (Biocrates™ p 180). Other targeted assays included ELISA and Luminex. The findings from the discovery cohort were validated using a subset of the daily cotrimoxazole trial data and samples. | Medicine, Health and Life Sciences | kwashiorkor; metabolomics; oedematous severe malnutrition; proteomics; severe acute malnutrition |
doi:10.7910/DVN/NQEDJP | 2018-01-09: DIP/WT Images (x5 magnification) - Analysis Results | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'first run IMAGEANALYSIS-20180109-X5' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Image Analysis'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'2018-01-09: DIP/WT Images (x5 magnification) - Analysis Results' Description:'first run IMAGEANALYSIS-20180109-X5' Subject:'Computer and Information Science; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | first run IMAGEANALYSIS-20180109-X5 | Computer and Information Science | Image Analysis |
doi:10.7910/DVN/NQEDJP | 2018-01-09: DIP/WT Images (x5 magnification) - Analysis Results | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'first run IMAGEANALYSIS-20180109-X5' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Image Analysis'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'2018-01-09: DIP/WT Images (x5 magnification) - Analysis Results' Description:'first run IMAGEANALYSIS-20180109-X5' Subject:'Computer and Information Science; Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | first run IMAGEANALYSIS-20180109-X5 | Medicine, Health and Life Sciences | Image Analysis |
doi:10.7910/DVN/NQJLUB | Long-standing effect of cholecystectomy in patients with metabolic-associated fatty liver disease. | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Dataset of the manuscript 'Long-standing effect of cholecystectomy in patients with metabolic-associated fatty liver disease.'' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Cholecystectomy'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Long-standing effect of cholecystectomy in patients with metabolic-associated fatty liver disease.' Description:'Dataset of the manuscript 'Long-standing effect of cholecystectomy in patients with metabolic-associated fatty liver disease.'' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Dataset of the manuscript 'Long-standing effect of cholecystectomy in patients with metabolic-associated fatty liver disease.' | Medicine, Health and Life Sciences | Cholecystectomy |
doi:10.7910/DVN/NR4USF | Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication data for 'Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment' by Davene R. Wright, Brian E. Saelens, Angela Fontes, and Tara A. Lavelle.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'childhood obesity; discrete choice experiment'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment' Description:'Replication data for 'Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment' by Davene R. Wright, Brian E. Saelens, Angela Fontes, and Tara A. Lavelle.' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | Replication data for 'Assessment of Parents’ Preferences for Incentives to Promote Engagement in Family Based Childhood Obesity Treatment' by Davene R. Wright, Brian E. Saelens, Angela Fontes, and Tara A. Lavelle. | Medicine, Health and Life Sciences | childhood obesity; discrete choice experiment |
doi:10.7910/DVN/NRJNEN | Replication Data for: The Prevalence and Correlates of Depression among Patients with Chronic Diseases in the United Arab Emirates | <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset is used in the papaer The Prevalence and Correlates of Depression among Patients with Chronic Diseases in the United Arab Emirates' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'PHQ9'} <|eot_id|> | Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The Prevalence and Correlates of Depression among Patients with Chronic Diseases in the United Arab Emirates' Description:'This dataset is used in the papaer The Prevalence and Correlates of Depression among Patients with Chronic Diseases in the United Arab Emirates' Subject:'Medicine, Health and Life Sciences'. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject: | This dataset is used in the papaer The Prevalence and Correlates of Depression among Patients with Chronic Diseases in the United Arab Emirates | Medicine, Health and Life Sciences | PHQ9 |
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