cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/z22n-wt08
title: "Long-Sequence Continuous Lower Limb Action Dataset"

description: "This dataset contains sEMG+IMU multimodal data from 12 healthy young subjects (9 males and 3 females, aged 21\u201323 years) and 3 elderly subjects (one 84-year-old female, one 84-year-old male, and one 94-year-old male)."
DOI: 10.15468/dl.pkp6c9
title: Occurrence Download

description: A dataset containing 92864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 92864 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003298-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18023185
title: Simulation Dataset for "Thermodynamics of Shear Equilibration During Magnetic Reconnection Onset in Mixed-Equilibrium Current Sheets"

description: This dataset contains PIC simulation data from a single run in the form of movie files.  It also includes the init routine, run execution file, and parameter file (which specifies the initial parameters of the run).  it also includes basic idl scripts which were used in the process of making plots, especially those which follow the x-line in time.
DOI: 10.5281/zenodo.18023186
title: Simulation Dataset for "Thermodynamics of Shear Equilibration During Magnetic Reconnection Onset in Mixed-Equilibrium Current Sheets"

description: This dataset contains PIC simulation data from a single run in the form of movie files.  It also includes the init routine, run execution file, and parameter file (which specifies the initial parameters of the run).  it also includes basic idl scripts which were used in the process of making plots, especially those which follow the x-line in time.
DOI: 10.15468/dl.kh8dak
title: Occurrence Download

description: A dataset containing 18999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trichonephila clavata"
 ]
}

 The dataset includes 18999 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003307-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30416776
title: Some supplementary materials for the paper

description: Four video files of Noninvasive Graphene Brain-Computer Interface Integrating EEG Recording and Acoustic-Optical Stimulation for Rhythm Intervention.
DOI: 10.6084/m9.figshare.30416776.v2
title: Some supplementary materials for the paper

description: Four video files of Noninvasive Graphene Brain-Computer Interface Integrating EEG Recording and Acoustic-Optical Stimulation for Rhythm Intervention.
DOI: 10.6084/m9.figshare.30416776.v1
title: Some supplementary materials for the paper

description: Three video files of Lightweight Multimodal Graphene Brain–Computer Interface for Applications in Emotional and Cognitive Assessment.
DOI: 10.5281/zenodo.18217417
title: Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models

description: NEW: This dataset has now been moved from Microsoft OneDrive to an AWS S3 bucket for your convenience in downloading. Please use the download code we provided to pull data from the AWS S3 bucket without login credentials.

This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State University, led by Dr. Chaopeng Shen's group in Hydrologic Deep Learning and Modeling. 

Please cite: Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., et al. (2025). High‐resolution national‐scale water modeling is enhanced by multiscale differentiable physics‐informed machine learning. Water Resources Research, 61, e2024WR038928. https://doi.org/10.1029/2024WR038928

The dataset is generated by High-resolution, multiscale, differentiable HBV hydrologic models, dHBV2.0UH and dHBV2.0dMC.

dHBV2.0UH is a high-resolution, multiscale model that uses unit hydrograph routing.

dHBV2.0dMC is a high-resolution, multiscale model that uses external Muskingum-Cunge routing.

Please use the link in the Readme.docx file to access the dataset. A link to the code for loading the dataset is also provided in Readme.docx.



The dHBV_streamflow_simulation_gages folder includes 40 years (1980–2020) of streamflow simulations at over 7,000 gage stations from GAGES-II, using both dHBV2.0UH and dHBV2.0dMC models. This data is useful for comparison with observations. 




The MERIT_flux_states folder includes 40 years (1980–2020) of spatially seamless simulations of hydrologic variables over 180 thousand MERIT unit basins on CONUS from dHBV2.0UH, including baseflow, evapotranspiration (ET), soil moisture, snow water equivalent, and runoff. 

The dHBV2.0_MERIT_river_network_simulation includes 40 years (1980-2020) of streamflow simulation on seamless MERIT river network by dHBV2.0dMC (New updates!).

The dHBV2.0UH code is available at mhpi/generic_deltaModel: High-resolution differentiable model, 𝛿HBV2.0. https://doi.org/10.5281/zenodo.14827983
DOI: 10.5281/zenodo.13774373
title: Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models

description: NEW: This dataset has now been moved from Microsoft OneDrive to an AWS S3 bucket for your convenience in downloading. Please use the download code we provided to pull data from the AWS S3 bucket without login credentials.

This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State University, led by Dr. Chaopeng Shen's group in Hydrologic Deep Learning and Modeling. 

Please cite: Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., et al. (2025). High‐resolution national‐scale water modeling is enhanced by multiscale differentiable physics‐informed machine learning. Water Resources Research, 61, e2024WR038928. https://doi.org/10.1029/2024WR038928

The dataset is generated by High-resolution, multiscale, differentiable HBV hydrologic models, dHBV2.0UH and dHBV2.0dMC.

dHBV2.0UH is a high-resolution, multiscale model that uses unit hydrograph routing.

dHBV2.0dMC is a high-resolution, multiscale model that uses external Muskingum-Cunge routing.

Please use the link in the Readme.docx file to access the dataset. A link to the code for loading the dataset is also provided in Readme.docx.



The dHBV_streamflow_simulation_gages folder includes 40 years (1980–2020) of streamflow simulations at over 7,000 gage stations from GAGES-II, using both dHBV2.0UH and dHBV2.0dMC models. This data is useful for comparison with observations. 




The MERIT_flux_states folder includes 40 years (1980–2020) of spatially seamless simulations of hydrologic variables over 180 thousand MERIT unit basins on CONUS from dHBV2.0UH, including baseflow, evapotranspiration (ET), soil moisture, snow water equivalent, and runoff. 

The dHBV2.0_MERIT_river_network_simulation includes 40 years (1980-2020) of streamflow simulation on seamless MERIT river network by dHBV2.0dMC (New updates!).

The dHBV2.0UH code is available at mhpi/generic_deltaModel: High-resolution differentiable model, 𝛿HBV2.0. https://doi.org/10.5281/zenodo.14827983
DOI: 10.15468/dl.jfjn7k
title: Occurrence Download

description: A dataset containing 2891027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 2891027 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003304-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4qshn
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mystus keletius"
 ]
}

 The dataset's 2 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003305-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/bc8tnp
title: The genus Gymnodoris Stimpson, 1855 (Mollusca, Nudibranchia) in New Caledonia, with descriptions of eleven new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Souza-Canal, Jade De, Valdés, Ángel (2025): The genus Gymnodoris Stimpson, 1855 (Mollusca, Nudibranchia) in New Caledonia, with descriptions of eleven new species. Zootaxa 5710 (1): 1-73, DOI: 10.11646/zootaxa.5710.1.1, URL: https://doi.org/10.11646/zootaxa.5710.1.1AbstractThe genus Gymnodoris Stimpson, 1855 in New Caledonia is studied based on three molecular markers: COI, 16S, and Histone H3, obtained from 183 newly collected specimens. Species were characterized using species delimitation (COI gene) and phylogenetic analyses using all three genes. The data were compared with sequences obtained from GenBank. Most species recovered were found to belong to previously described species, or undescribed species previously reported in the literature. However, 11 species were found to be distinct and those are formally described herein. For these new species, full anatomical descriptions are provided, including reproductive system and radula illustrations and comparisons to other species are provided. An effort was made to try to identify species previously described from New Caledonia with uncertain status with the newly collected material, this resulted in the re-description of Gymnodoris suggens (Risbec, 1928) and the tentative synonymies of Gymnodoris kouaouae (Risbec, 1928) and Gymnodoris perlucens (Risbec, 1928). The phylogenetic hypotheses generated provide no support for the various genus-level names currently synonymized with Gymnodoris.
DOI: 10.5281/zenodo.18217379
title: Training Dataset and Trained Model Parameters of DIER
DOI: 10.5281/zenodo.18217380
title: Training Dataset and Trained Model Parameters of DIER
DOI: 10.15468/dl.bf3ktn
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.357 21.461,115.422 21.461,115.422 24.392,111.357 24.392,111.357 21.461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophiophagus hannah"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003310-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.3aicw5og
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (101 records)
DOI: 10.13026/t075-g517
title: Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation

description: Radiology reports convey detailed clinical observations and capture diagnostic
reasoning that evolves over time. However, existing evaluation methods are
limited to single-report settings and rely on coarse metrics that fail to
capture fine-grained clinical semantics and temporal dependencies. We
introduce **LUNGUAGE** , a benchmark dataset of structured radiology reports
that serves as a gold standard for evaluating structured report frameworks. It
is designed to support comprehensive assessment of both single-report
interpretation and longitudinal reasoning. Constructed from a subset of the
MIMIC-CXR test set, LUNGUAGE comprises 1,473 chest X-ray reports from 230
patients, annotated with over 17,000 expert-verified entities and 23,000
relation-attribute pairs across 18 relation types. An additional subset of 80
sequential reports from 10 patients captures disease progression across 3 to
14 studies per patient, covering time intervals from 1 to 1,200 days. These
are annotated with over 41,000 pairwise comparisons, grouped into semantically
and temporally coherent groups. The dataset also includes a schema-aligned
vocabulary covering diagnostic entities and attributes. All annotations were
conducted and verified by board-certified radiologists, resulting in a
clinically grounded resource for structured understanding and temporal
reasoning in radiology.
DOI: 10.13026/pk42-4v91
title: Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation

description: Radiology reports convey detailed clinical observations and capture diagnostic
reasoning that evolves over time. However, existing evaluation methods are
limited to single-report settings and rely on coarse metrics that fail to
capture fine-grained clinical semantics and temporal dependencies. We
introduce **LUNGUAGE** , a benchmark dataset of structured radiology reports
that serves as a gold standard for evaluating structured report frameworks. It
is designed to support comprehensive assessment of both single-report
interpretation and longitudinal reasoning. Constructed from a subset of the
MIMIC-CXR test set, LUNGUAGE comprises 1,473 chest X-ray reports from 230
patients, annotated with over 17,000 expert-verified entities and 23,000
relation-attribute pairs across 18 relation types. An additional subset of 80
sequential reports from 10 patients captures disease progression across 3 to
14 studies per patient, covering time intervals from 1 to 1,200 days. These
are annotated with over 41,000 pairwise comparisons, grouped into semantically
and temporally coherent groups. The dataset also includes a schema-aligned
vocabulary covering diagnostic entities and attributes. All annotations were
conducted and verified by board-certified radiologists, resulting in a
clinically grounded resource for structured understanding and temporal
reasoning in radiology.
DOI: 10.15468/dl.ayq7jk
title: Occurrence Download

description: A dataset containing 21540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Santalales"
 ]
}

 The dataset includes 21540 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003311-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.20465.54884
title: Goldist version Ukrainian with figures
DOI: 10.6084/m9.figshare.31044199
title: Aircraft Wake Vortex Dataset

description: This dataset contains 1000 sets of 15-meter resolution aircraft wake radial velocity data, generated by a virtual coherent doppler wind lidar. This velocity field integrates a parameterized aircraft wake model, high-precision atmospheric turbulence simulation, and a uniform background wind field, and the lidar detection process is numerically simulated using time-domain analysis.
DOI: 10.6084/m9.figshare.31044199.v1
title: Aircraft Wake Vortex Dataset

description: This dataset contains 1000 sets of 15-meter resolution aircraft wake radial velocity data, generated by a virtual coherent doppler wind lidar. This velocity field integrates a parameterized aircraft wake model, high-precision atmospheric turbulence simulation, and a uniform background wind field, and the lidar detection process is numerically simulated using time-domain analysis.
DOI: 10.15468/dl.h44bhb
title: Occurrence Download

description: A dataset containing 1995072 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harvard University Herbaria: All Records"
 ]
}

 The dataset includes 1995072 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003312-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18217395
title: EMAG2v3QT: A Revised Earth Magnetic Anomaly Grid to Address the Huge Data Gap in the Qinghai-Tibet Plateau

description: EMAG2v3QT: A Revised Earth Magnetic Anomaly Grid to Address the Huge Data Gap in the Qinghai-Tibet Plateau
DOI: 10.5281/zenodo.18217396
title: EMAG2v3QT: A Revised Earth Magnetic Anomaly Grid to Address the Huge Data Gap in the Qinghai-Tibet Plateau

description: EMAG2v3QT: A Revised Earth Magnetic Anomaly Grid to Address the Huge Data Gap in the Qinghai-Tibet Plateau
DOI: 10.34740/kaggle/dsv/14469775
title: World Athletics Calendar (worldathletics.org)
DOI: 10.5281/zenodo.18217401
title: Polystyrene Nanoparticles Induces Ovarian Reproductive Toxicity through Granulosa Cell Dysfunction and cAMP Reduction

description: Metabolomic data of Polystyrene Nanoparticles Inducing Ovarian Reproductive Toxicity through Granulosa Cell Dysfunction and cAMP Reduction
DOI: 10.5281/zenodo.18217402
title: Polystyrene Nanoparticles Induces Ovarian Reproductive Toxicity through Granulosa Cell Dysfunction and cAMP Reduction

description: Metabolomic data of Polystyrene Nanoparticles Inducing Ovarian Reproductive Toxicity through Granulosa Cell Dysfunction and cAMP Reduction
DOI: 10.3886/e243540
title: PLACES and 500 Cities: Data Dictionary

description: This dataset provides a data dictionary for PLACES and 500 Cities releases. For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243540v1
title: PLACES and 500 Cities: Data Dictionary

description: This dataset provides a data dictionary for PLACES and 500 Cities releases. For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.
description: (Downloaded 1/10/2026)
DOI: 10.5519/qd.7431d25p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.3886/e243541
title: 500 Cities: Local Data for Better Health, 2016 release

description: This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243541v1
title: 500 Cities: Local Data for Better Health, 2016 release

description: This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.15468/dl.r67ztg
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation)",
 "Geometry POLYGON((111.357 21.461,115.422 21.461,115.422 24.392,111.357 24.392,111.357 21.461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa"
 ]
}

 The dataset includes 989 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003315-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.