cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13173602.v1
title: R0198_20171121a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13174341
title: Leaf hydraulic dataset from Leaf hydraulic safety margin and safety-efficiency trade-off across angiosperm woody species

description: A dataset including leaf hydraulic traits, geographical coordinates, biomes, growth, phenology, and aridity index.
DOI: 10.6084/m9.figshare.13174341.v1
title: Leaf hydraulic dataset from Leaf hydraulic safety margin and safety-efficiency trade-off across angiosperm woody species

description: A dataset including leaf hydraulic traits, geographical coordinates, biomes, growth, phenology, and aridity index.
DOI: 10.6084/m9.figshare.12962447
title: COVID_CDR_drugcomDB_mapping.csv

description: Mapping between COVID-CDR and drugCombDB databases
DOI: 10.6084/m9.figshare.12962447.v2
title: COVID_CDR_drugcomDB_mapping.csv

description: Mapping between COVID-CDR and drugCombDB databases
DOI: 10.6084/m9.figshare.12962447.v1
title: Cov_Com.drugcomDB.csv

description: Cov_Com.drugcomDB.csv<br>
DOI: 10.6084/m9.figshare.12951416
title: COVID-19 drug combinations in clinical trials

description: COVID-19 drug combinations in clinical trials
DOI: 10.6084/m9.figshare.12951416.v2
title: COVID-19 drug combinations in clinical trials

description: COVID-19 drug combinations in clinical trials
DOI: 10.6084/m9.figshare.12951416.v1
title: cov_comb_clinical_trials.csv

description: cov_comb_clinical_trials.csv
DOI: 10.34740/kaggle/dsv/1609704
title: covid 19
DOI: 10.7910/dvn/stdsfa
title: Replication Data for: How Government Response Affects COVID-19 Case Fatality Rates: A Comparative Political Analysis of 77 countries and regions

description: Data underlying the study
DOI: 10.6084/m9.figshare.13173605
title: R0198_20171122a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13173605.v1
title: R0198_20171122a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4172948
title: Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014

description: The data documented the spatiotemporal anthropogenic pressures on reach-scale rivers across South and Southeast Asia from 1990-2014. The data used to produce the results reported in the manuscript "Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014". The attributes of the data are explained as follows: (1) "lengthkm": the length (km) of the river reach. (2) "order": stream order of the river reach, from Lin et al. (2019). (3) "nnCCI92": the anthropogenic pressures induced by irrigation in 1992. (4) "nnCCI00": the anthropogenic pressures induced by irrigation in 2000. (5) "nnCCI14": the anthropogenic pressures induced by irrigation in 2014. (6) "nnGHSL90": the anthropogenic pressures induced by human usage in 1990. (7) "nnGHSL00": the anthropogenic pressures induced by human usage in 2000. (8) "nnGHSL14": the anthropogenic pressures induced by human usage in 2014. (9) "sum90": the total anthropogenic pressures on river reaches in 1990. (10) "sum00": the total anthropogenic pressures on river reaches in 2000. (11) "sum14": the total anthropogenic pressures on river reaches in 2014. (12) "mean9014": the average anthropogenic pressures on river reaches from 1990-2014. (13)"domin14": dominant pressure indicator impacting river reaches in 2014. "1" for healthy rivers, "2" for "both human usage and irrigation", "3" for "irrigation", "4" for "human usage". <strong>Version 2 updates the anthropogenic pressures on rivers considering the proportion of irrigation taken from groundwater.</strong>
description: FUNDING: National Key R&D Program of China (No. 2017YFB0504200); National Natural Science Foundation of China (41871327); Fundamental Research Funds for the Central Universities (14380070).
description: {"references": ["Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., David, C. H., Durand, M., Pavelsky, T. M., Allen, G. H., Gleason, C. J., and Wood, E. F.: Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches, Water Resources Research, 55, 6499-6516, 10.1029/2019WR025287, 2019."]}
DOI: 10.5281/zenodo.3949494
title: Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014

description: The data documented the spatiotemporal anthropogenic pressures on reach-scale rivers across South and Southeast Asia from 1990-2014. The data used to produce the results reported in the manuscript "Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014". The attributes of the data are explained as follows: (1) "lengthkm": the length (km) of the river reach. (2) "order": stream order of the river reach, from Lin et al. (2019). (3) "nnCCI92": the anthropogenic pressures induced by irrigation in 1992. (4) "nnCCI00": the anthropogenic pressures induced by irrigation in 2000. (5) "nnCCI14": the anthropogenic pressures induced by irrigation in 2014. (6) "nnGHSL90": the anthropogenic pressures induced by human usage in 1990. (7) "nnGHSL00": the anthropogenic pressures induced by human usage in 2000. (8) "nnGHSL14": the anthropogenic pressures induced by human usage in 2014. (9) "sum90": the total anthropogenic pressures on river reaches in 1990. (10) "sum00": the total anthropogenic pressures on river reaches in 2000. (11) "sum14": the total anthropogenic pressures on river reaches in 2014. (12) "mean9014": the average anthropogenic pressures on river reaches from 1990-2014. (13)"domin14": dominant pressure indicator impacting river reaches in 2014. "1" for healthy rivers, "2" for "both human usage and irrigation", "3" for "irrigation", "4" for "human usage". <strong>Version 2 updates the anthropogenic pressures on rivers considering the proportion of irrigation taken from groundwater.</strong>
description: FUNDING: National Key R&D Program of China (No. 2017YFB0504200); National Natural Science Foundation of China (41871327); Fundamental Research Funds for the Central Universities (14380070).
description: {"references": ["Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., David, C. H., Durand, M., Pavelsky, T. M., Allen, G. H., Gleason, C. J., and Wood, E. F.: Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches, Water Resources Research, 55, 6499-6516, 10.1029/2019WR025287, 2019."]}
DOI: 10.6084/m9.figshare.13048667.v1
title: Factors associated with successful completion of outpatient parenteral antibiotic therapy in an area with a high prevalence of multidrug-resistant bacteria: 30-day hospital admission and mortality rates

description: <b>Synopsis</b> <b>Objectives:</b> To identify factors associated with hospital admission and mortality within the first 30 days after enrolment in an outpatient parenteral antimicrobial therapy (OPAT) program, also analysing adequacy of the treatment regimen and clinical outcomes. <b>Patients and methods:</b> This was a retrospective cohort study conducted between October 2016 and June 2017 in the state of São Paulo, Brazil. Variables related to hospital admission and mortality were subjected to bivariate analysis, and those with a <i>P</i>&lt;0.05 were subjected to multivariate analysis as risk factors. <b>Results:</b> We evaluated 276 patients, of whom 80.5% were ≥60 years of age and 69.9% had more than one comorbidity. Of the patients evaluated, 41.3% had pneumonia and 35.1% had a urinary tract infection. The most common etiological agent, isolated in 18 (31.6%) cases, was <i>Klebsiella pneumoniae</i>, and 13 (72,2%) strains were carbapenem resistant. The OPAT was in accordance with the culture results in 76.6% of the cases and with the institutional protocols in 76.4%. The majority (64.5%) of the patients were not admitted, and a cure or clinical improvement was achieved in 78.6%. Multivariate analysis showed that, within the first 30 days after enrolment, the absence of a physician office visit was a predictor of hospital admission (<i>P</i>&lt;0.001) and mortality (<i>P</i>=0.006). <b>Conclusions:</b> This study demonstrated the viability of OPAT in elderly patients with pulmonary or urinary tract infections in an area with a high prevalence of multidrug-resistant bacteria and that a post-discharge physician office visit is protective against hospital admission and mortality.
DOI: 10.6084/m9.figshare.13048667.v3
title: Factors associated with successful completion of outpatient parenteral antibiotic therapy in an area with a high prevalence of multidrug-resistant bacteria: 30-day hospital admission and mortality rates

description: <b>Synopsis</b> <b>Objectives:</b> To identify factors associated with hospital admission and mortality within the first 30 days after enrolment in an outpatient parenteral antimicrobial therapy (OPAT) program, also analysing adequacy of the treatment regimen and clinical outcomes. <b>Patients and methods:</b> This was a retrospective cohort study conducted between October 2016 and June 2017 in the state of São Paulo, Brazil. Variables related to hospital admission and mortality were subjected to bivariate analysis, and those with a <i>P</i>&lt;0.05 were subjected to multivariate analysis as risk factors. <b>Results:</b> We evaluated 276 patients, of whom 80.5% were ≥60 years of age and 69.9% had more than one comorbidity. Of the patients evaluated, 41.3% had pneumonia and 35.1% had a urinary tract infection. The most common etiological agent, isolated in 18 (31.6%) cases, was <i>Klebsiella pneumoniae</i>, and 13 (72,2%) strains were carbapenem resistant. The OPAT was in accordance with the culture results in 76.6% of the cases and with the institutional protocols in 76.4%. The majority (64.5%) of the patients were not admitted, and a cure or clinical improvement was achieved in 78.6%. Multivariate analysis showed that, within the first 30 days after enrolment, the absence of a physician office visit was a predictor of hospital admission (<i>P</i>&lt;0.001) and mortality (<i>P</i>=0.006). <b>Conclusions:</b> This study demonstrated the viability of OPAT in elderly patients with pulmonary or urinary tract infections in an area with a high prevalence of multidrug-resistant bacteria and that a post-discharge physician office visit is protective against hospital admission and mortality.
DOI: 10.5281/zenodo.4172964
title: Observational data obtained with the use of the wide band radio interferometer

description: CSV file in attachment contains two columns: "Time counted from the return stroke, ms" and "ADC output, V". This experimental data was received in the Nizhny Novgorod region of Russian Federation on May 15, 2019 with the use of the wide band radio interferometer. It can be used to obtain a waveform of the radio signal provided by the registered thundercloud radioactivity.
DOI: 10.5281/zenodo.4172963
title: Observational data obtained with the use of the wide band radio interferometer

description: CSV file in attachment contains two columns: "Time counted from the return stroke, ms" and "ADC output, V". This experimental data was received in the Nizhny Novgorod region of Russian Federation on May 15, 2019 with the use of the wide band radio interferometer. It can be used to obtain a waveform of the radio signal provided by the registered thundercloud radioactivity.
DOI: 10.6084/m9.figshare.13173608
title: R0198_20171124a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13173608.v1
title: R0198_20171124a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13048667.v5
title: Factors associated with successful completion of outpatient parenteral antibiotic therapy in an area with a high prevalence of multidrug-resistant bacteria: 30-day hospital admission and mortality rates

description: <b>Synopsis</b> <b>Objectives:</b> To identify factors associated with hospital admission and mortality within the first 30 days after enrolment in an outpatient parenteral antimicrobial therapy (OPAT) program, also analysing adequacy of the treatment regimen and clinical outcomes. <b>Patients and methods:</b> This was a retrospective cohort study conducted between October 2016 and June 2017 in the state of São Paulo, Brazil. Variables related to hospital admission and mortality were subjected to bivariate analysis, and those with a <i>P</i>&lt;0.05 were subjected to multivariate analysis as risk factors. <b>Results:</b> We evaluated 276 patients, of whom 80.5% were ≥60 years of age and 69.9% had more than one comorbidity. Of the patients evaluated, 41.3% had pneumonia and 35.1% had a urinary tract infection. The most common etiological agent, isolated in 18 (31.6%) cases, was <i>Klebsiella pneumoniae</i>, and 13 (72,2%) strains were carbapenem resistant. The OPAT was in accordance with the culture results in 76.6% of the cases and with the institutional protocols in 76.4%. The majority (64.5%) of the patients were not admitted, and a cure or clinical improvement was achieved in 78.6%. Multivariate analysis showed that, within the first 30 days after enrolment, the absence of a physician office visit was a predictor of hospital admission (<i>P</i>&lt;0.001) and mortality (<i>P</i>=0.006). <b>Conclusions:</b> This study demonstrated the viability of OPAT in elderly patients with pulmonary or urinary tract infections in an area with a high prevalence of multidrug-resistant bacteria and that a post-discharge physician office visit is protective against hospital admission and mortality.
DOI: 10.6084/m9.figshare.13048667
title: Factors associated with successful completion of outpatient parenteral antibiotic therapy in an area with a high prevalence of multidrug-resistant bacteria: 30-day hospital admission and mortality rates

description: <b>Synopsis</b> <b>Objectives:</b> To identify factors associated with hospital admission and mortality within the first 30 days after enrolment in an outpatient parenteral antimicrobial therapy (OPAT) program, also analysing adequacy of the treatment regimen and clinical outcomes. <b>Patients and methods:</b> This was a retrospective cohort study conducted between October 2016 and June 2017 in the state of São Paulo, Brazil. Variables related to hospital admission and mortality were subjected to bivariate analysis, and those with a <i>P</i>&lt;0.05 were subjected to multivariate analysis as risk factors. <b>Results:</b> We evaluated 276 patients, of whom 80.5% were ≥60 years of age and 69.9% had more than one comorbidity. Of the patients evaluated, 41.3% had pneumonia and 35.1% had a urinary tract infection. The most common etiological agent, isolated in 18 (31.6%) cases, was <i>Klebsiella pneumoniae</i>, and 13 (72,2%) strains were carbapenem resistant. The OPAT was in accordance with the culture results in 76.6% of the cases and with the institutional protocols in 76.4%. The majority (64.5%) of the patients were not admitted, and a cure or clinical improvement was achieved in 78.6%. Multivariate analysis showed that, within the first 30 days after enrolment, the absence of a physician office visit was a predictor of hospital admission (<i>P</i>&lt;0.001) and mortality (<i>P</i>=0.006). <b>Conclusions:</b> This study demonstrated the viability of OPAT in elderly patients with pulmonary or urinary tract infections in an area with a high prevalence of multidrug-resistant bacteria and that a post-discharge physician office visit is protective against hospital admission and mortality.
DOI: 10.6084/m9.figshare.13048667.v4
title: Factors associated with successful completion of outpatient parenteral antibiotic therapy in an area with a high prevalence of multidrug-resistant bacteria: 30-day hospital admission and mortality rates

description: <b>Synopsis</b> <b>Objectives:</b> To identify factors associated with hospital admission and mortality within the first 30 days after enrolment in an outpatient parenteral antimicrobial therapy (OPAT) program, also analysing adequacy of the treatment regimen and clinical outcomes. <b>Patients and methods:</b> This was a retrospective cohort study conducted between October 2016 and June 2017 in the state of São Paulo, Brazil. Variables related to hospital admission and mortality were subjected to bivariate analysis, and those with a <i>P</i>&lt;0.05 were subjected to multivariate analysis as risk factors. <b>Results:</b> We evaluated 276 patients, of whom 80.5% were ≥60 years of age and 69.9% had more than one comorbidity. Of the patients evaluated, 41.3% had pneumonia and 35.1% had a urinary tract infection. The most common etiological agent, isolated in 18 (31.6%) cases, was <i>Klebsiella pneumoniae</i>, and 13 (72,2%) strains were carbapenem resistant. The OPAT was in accordance with the culture results in 76.6% of the cases and with the institutional protocols in 76.4%. The majority (64.5%) of the patients were not admitted, and a cure or clinical improvement was achieved in 78.6%. Multivariate analysis showed that, within the first 30 days after enrolment, the absence of a physician office visit was a predictor of hospital admission (<i>P</i>&lt;0.001) and mortality (<i>P</i>=0.006). <b>Conclusions:</b> This study demonstrated the viability of OPAT in elderly patients with pulmonary or urinary tract infections in an area with a high prevalence of multidrug-resistant bacteria and that a post-discharge physician office visit is protective against hospital admission and mortality.
DOI: 10.6084/m9.figshare.13174418
title: Incidence and Risk Factors for Retinopathy of Prematurity in NICU Tertiary Care Hospital

description: This data represents the analysed variables of this study entitled Incidence and Risk Factors for Retinopathy of Prematurity in NICU Tertiary Care Hospital<br>
DOI: 10.6084/m9.figshare.13174418.v1
title: Incidence and Risk Factors for Retinopathy of Prematurity in NICU Tertiary Care Hospital

description: This data represents the analysed variables of this study entitled Incidence and Risk Factors for Retinopathy of Prematurity in NICU Tertiary Care Hospital<br>
DOI: 10.21227/ht1w-re82
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.-------------------------------------Related: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 252,609 tweets— Coverage : Global— Language : English (EN)— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Usage policy : As per Twitter's Developer Policy— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.6084/m9.figshare.13173611
title: R0198_20171125a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12765407.v8
title: Real time history of wave parameters in Black Sea based on wave buoy measurements

description: Dataset of mean wave parameters registered every 30 min by spotter wave buoy (https://www.sofarocean.com/products/spotter) installed in Black Sea region near Gelendzhik city (Russia) on water depth about 80 m and about 4 nautical miles from the shore (LAT 44.51<sup>0</sup> LON 37.97<sup>0</sup>). The buoy was installed at 23 July 2020 in the frame of integrated coastal-marine scientific expedition "Black Sea - 2020" of Shirshov Institute of Oceanology (State assignments 149-2019-0005 and 149-2019-0014). The dataset provide weekly upgraded time history (Epoch Time) of wave parameters from this date up to now. Following wave parameters are available: Significant Wave Height (m),Peak Period (s),Mean Period (s),Peak Direction (deg),Peak Directional Spread (deg),Mean Direction (deg),Mean Directional Spread (deg),Latitude (deg),Longitude (deg). Also there are calculated real time estimations of Wind Speed (m/s) and Wind Direction (deg) (https://www.sofarocean.com/posts/wind-spotter). The data are in columns separated by commas, a symbol “-“ means no data. Some notes on data quality. Data such as they are transmitted by the buoy without additional selection. Sometimes there are spikes of the wave period (about 14-20 s) associated with the recording of ship waves in the presence of small wind waves (significant waves up to 40 cm high). Sometimes there are significant spikes of the height of significant waves associated with the fact that curious sailors and fishermen can raise a buoy on board the ship to see what it is. On 27 August 2020, the buoy was torn away by a strong current and re-installed at the same location on 3 September 2020.
DOI: 10.6084/m9.figshare.13173614
title: R0198_20171126a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13173614.v1
title: R0198_20171126a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13173617
title: R0198_20171127a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13173611.v1
title: R0198_20171125a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13174478
title: (Data Support) A Qualitative Study of the Intervention Methods of Foster Care Centres in Promoting Foster Care in Italy.pdf

description: Qualitative Study of the Intervention Methods of Foster Care Centres in Promoting Foster Care in Italy
DOI: 10.6084/m9.figshare.9768101.v9
title: Datasets, matrices and supplementary figure for QMaker

description: Pfam_datasets.zip: Pfam training and test sets which were used with QMaker.<br>Matrices-normalized.zip: Eight output matrices for LG, Pfam, Pfam-gb, Bird, Insect, Mammal, Plant, and Yeast datasets.<br>Figure S1_new.pdf: The performance of five matrices, i.e., Q.pfam, JTT, LG, WAG on five clade-specific datasets, i.e., Bird, Plant, Insect, Yeast Mammal.<br>Table S1 (Correlations).docx: Correlation values (1000x) between six new matrices and 20 existing matrices, upper half are correlations of frequencies, lower half are correlations of exchangeabilities.<br>sample_training_10alignments.zip, sample_training_10genes.zip: two small datasets and training scripts, one has 10 alignments (these alignments do not share species and are extracted from Pfam dataset, shoulf be trained with option -S), the other has 10 genes of a same species (extracting from Plant dataset, training with option -p). Each dataset will need ~30 mins training time on a 10-core machine.
DOI: 10.6084/m9.figshare.13173623
title: R0198_20171128a_videos

description: Rat 0198, skilled reaching data collected in Leventhal laboratory by Alexandra Bova