cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4hn8pd
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picea likiangensis (Franch.) E.Pritz., Picea likiangensis var. likiangensis, Picea likiangensis subsp. balfouriana (Rehd. & E.H.Wilson) Rushforth, Picea likiangensis var. linzhiensis W.C.Cheng & L.K.Fu, Picea likiangensis var. balfouriana (Rehd. & E.H.Wilson) Hillier, Picea likiangensis var. hirtella (Rehd. & E.H.Wilson) W.C.Cheng, Picea likiangensis var. bhutanica Silba, Picea likiangensis subsp. forrestii (Silba) Silba, Picea likiangensis subsp. bhutanica (Silba) Silba, Picea likiangensis var. forrestii Silba, Picea likiangensis var. montigena (Mast.) T.S.Liu, 1982, Picea likiangensis subsp. montigena (Mast.) Silba, Picea likiangensis f. bicolor W.C.Cheng & L.K.Fu, Picea likiangensis subsp. linzhiensis (W.C.Cheng & L.K.Fu) Silba, Picea likiangensis var. montigena (Mast.) W.C.Cheng, Picea likiangensis var. rubescens Rehd. & E.H.Wilson, Picea likiangensis subsp. rubescens (Rehder & E.H.Wilson) Silba, Picea likiangensis var. purpurea (Mast.) Dallim. & A.B.Jacks.)"
 ]
}

 The dataset includes 2490 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078363-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbea2f
title: Occurrence Download

description: A dataset containing 96810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla indica (Andrews) Th.Wolf)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 96810 records from 689 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078346-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/serc.20060309
title: 2019 Water Quality Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: This data has moved to a consolidated dataset here: https://doi.org/10.25573/serc.24794262
DOI: 10.25573/serc.20060309.v2
title: 2019 Water Quality Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: 2019 water quality data collected on a YSI EXO2 multiparameter sonde at the MarineGEO  Bocas del Toro observatory (Bocas del Toro Research Station, Smithsonian Tropical Research Institute, Panama).
The figshare resource also contains quality control metadata to assist interpretation and analysis. Review the "readme.txt" file for more information. 
Location: 9.350822, -82.257853
DOI: 10.25573/serc.20060309.v3
title: 2019 Water Quality Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: This data has moved to a consolidated dataset here: https://doi.org/10.25573/serc.24794262
DOI: 10.15468/dl.mdg5nc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((95.78293 77.08599, 96 77.08599, 96 77.10016, 95.78293 77.10016, 95.78293 77.08599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005963-250525065834625/datasets/export for details.
DOI: 10.3886/e243972v1
title: NNDSS - Table II. Ehrlichiosis and Anaplasmosis

description: NNDSS - Table II. Ehrlichiosis and Anaplasmosis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting.

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available.

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands.

U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.
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description: (Downloaded 1/12/2026)
DOI: 10.7303/syn72320181.1
title: TCGA-COMBINED_CAMDA_SyntheticDataset_e-2
DOI: 10.5281/zenodo.18237119
title: Database of Raman analyses of hydrous silicate melts

description: This is a database of Raman spectra of hydrous glasses measured with a 473-nm excitation source using the E.Gazel's Witec Alpha 300R Raman at Cornell University. Measurements were taken under different confocality settings (denoted by microscope objective 50x or 100x) and at varying laser power. 

File names denote specific metadata, such as:



Objective (50x or 100x)

Excitation laser power (5 mW, 10 mW, 16 mW)

Integration Times (30s)

Accumulations (Repeated analyses -10, 20)

Spectral treatment (CRR - cosmic ray removal)
DOI: 10.15468/dl.j3bg2j
title: Occurrence Download

description: A dataset containing 160570 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2014_CEN PACA_1"
 ]
}

 The dataset includes 160570 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001773-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjjrdt
title: Occurrence Download

description: A dataset containing 162419 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SPF - Herbário da Universidade de São Paulo"
 ]
}

 The dataset includes 162419 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001774-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6d7grn
title: Occurrence Download

description: A dataset containing 160718 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2020_CEN PACA_1"
 ]
}

 The dataset includes 160718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001772-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvk295
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:

 SELECT speciesKey, decimalLatitude, decimalLongitude, eventDate
 FROM occurrence
 WHERE continent='EUROPE'
 AND "year"&gt;=2000 AND "year"&lt;2024
 AND speciesKey IN (2129031,1334451,1893948,1952545,1544895)
 

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026968-250426092105405/datasets/export for details.
DOI: 10.7274/24723840
title: Varieties of Democracy (V-Dem) Data — v.1 (2014)

description: This is an archive of all versions of V-Dem data and associated documentation: aggregated and disaggregated data, codebook, citation instructions, variable labels, etc. for the period from March 31 through September 2, 2014.
DOI: 10.7274/24723840.v1
title: Varieties of Democracy (V-Dem) Data — v.1 (2014)

description: This is an archive of all versions of V-Dem data and associated documentation: aggregated and disaggregated data, codebook, citation instructions, variable labels, etc. for the period from March 31 through September 2, 2014.
DOI: 10.7274/24821673
title: Varieties of Democracy (V-Dem) Data — v.2 (2014)

description: Data for Varieties of Democracy project. Version 2 of these files. This is an archive of all versions of V-Dem data and associated documentation: aggregated and disaggregated data, codebook, citation instructions, variable labels, etc. for the period from September 3, 2014 through January 18, 2015.
DOI: 10.7274/24821673.v1
title: Varieties of Democracy (V-Dem) Data — v.2 (2014)

description: Data for Varieties of Democracy project. Version 2 of these files. This is an archive of all versions of V-Dem data and associated documentation: aggregated and disaggregated data, codebook, citation instructions, variable labels, etc. for the period from September 3, 2014 through January 18, 2015.
DOI: 10.7910/dvn/cuitgy
title: Replication Data for: Connect First, then Suppress: Chinese vs. Western Communication Development Projects and Internet Freedom

description: replication file for "Connect First, then Suppress: Chinese vs. Western Communication Development Projects and Internet Freedom"
DOI: 10.7274/24723309
title: Varieties of Democracy (V-Dem) Data — v.3 (2015)

description: Data for Varieties of Democracy project. Version 3 of these files.
DOI: 10.7274/24723309.v1
title: Varieties of Democracy (V-Dem) Data — v.3 (2015)

description: Data for Varieties of Democracy project. Version 3 of these files.
DOI: 10.15468/dl.f87p4e
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.87445 -34.27722,-69.5071 -34.27722,-69.5071 -34.0903,-69.87445 -34.0903,-69.87445 -34.27722))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 975 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026973-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/24723483
title: Varieties of Democracy (V-Dem) Data — v.4 (2015)

description: Data for Varieties of Democracy project. Version 4 of these files.
DOI: 10.7274/24723483.v1
title: Varieties of Democracy (V-Dem) Data — v.4 (2015)

description: Data for Varieties of Democracy project. Version 4 of these files.
DOI: 10.7284/160704
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-19 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160049
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-20 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7274/24723633
title: Varieties of Democracy (V-Dem) Data — v.5 (2016)

description: Data for Varieties of Democracy project. Version 5 of these files.
DOI: 10.7274/24723633.v1
title: Varieties of Democracy (V-Dem) Data — v.5 (2016)

description: Data for Varieties of Democracy project. Version 5 of these files.
DOI: 10.7284/160726
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-21 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160037
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-22 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160745
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-24 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/162327
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-27 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7274/24858684
title: Varieties of Democracy (V-Dem) Data — v.6 (2016)

description: Data for Varieties of Democracy Project. Version 6 of these files. There is also a collection of posterior files for v.6
DOI: 10.7274/24858684.v1
title: Varieties of Democracy (V-Dem) Data — v.6 (2016)

description: Data for Varieties of Democracy Project. Version 6 of these files. There is also a collection of posterior files for v.6
DOI: 10.7274/24740766
title: Varieties of Democracy (V-Dem) Data — v.7 (2017)

description: Data for Varieties of Democracy Project. Version 7 of these files. <br>
DOI: 10.7274/24740766.v1
title: Varieties of Democracy (V-Dem) Data — v.7 (2017)

description: Data for Varieties of Democracy Project. Version 7 of these files. <br>
DOI: 10.7274/24736728
title: Varieties of Democracy (V-Dem) Data — v.8 (2018)

description: Data for Varieties of Democracy Project. Version 8 of these files. There is also a collection of posterior files for v.8. See related item.
DOI: 10.7274/24736728.v1
title: Varieties of Democracy (V-Dem) Data — v.8 (2018)

description: Data for Varieties of Democracy Project. Version 8 of these files. There is also a collection of posterior files for v.8. See related item.
DOI: 10.7274/24726951
title: Varieties of Democracy (V-Dem) Data — v.9 (2019)

description: Data for Varieties of Democracy Project. Version 9 of these files. There is also a collection of posterior files for v.9. See related item.
DOI: 10.7274/24726951.v1
title: Varieties of Democracy (V-Dem) Data — v.9 (2019)

description: Data for Varieties of Democracy Project. Version 9 of these files. There is also a collection of posterior files for v.9. See related item.
DOI: 10.7274/24858180
title: Varieties of Democracy (V-Dem) Data — v.10 (2020)

description: Data for Varieties of Democracy Project. Version 10 of these files.
DOI: 10.7274/24858180.v1
title: Varieties of Democracy (V-Dem) Data — v.10 (2020)

description: Data for Varieties of Democracy Project. Version 10 of these files.
DOI: 10.7274/24817353
title: Varieties of Democracy (V-Dem) Data — v.11 (2021)

description: Posterior files for Varieties of Democracy Project Version 11. See main item for codebook and dataset.
DOI: 10.7274/24817353.v1
title: Varieties of Democracy (V-Dem) Data — v.11 (2021)

description: Posterior files for Varieties of Democracy Project Version 11. See main item for codebook and dataset.
DOI: 10.7274/24870447
title: Varieties of Democracy (V-Dem) Data — v.12 (2022)

description: Posterior files for Varieties of Democracy Project Version 12. See main item for codebook and dataset.
DOI: 10.7274/24870447.v1
title: Varieties of Democracy (V-Dem) Data — v.12 (2022)

description: Posterior files for Varieties of Democracy Project Version 12. See main item for codebook and dataset.
DOI: 10.7274/25810459
title: Varieties of Democracy (V-Dem) Data — v.13 (2023)

description: Collected data sets from March 2023, Varieties of Democracy, version 13.V-Dem seeks to capture seven different conceptions of democracy—participatory, consensual, majoritarian, deliberative, and egalitarian, in addition to the more familiar electoral and liberal democracy—in all countries since 1900. The different types of democracy are broken down into components and then into more than 400 specific indicators. The reliable, precise nature of the indicators as well as their lengthy historical coverage is useful to scholars studying why democracy succeeds or fails and how it affects human development, as well as to governments and NGOs wishing to evaluate efforts to promote democracy. V-Dem makes the improved indicators freely available for use by researchers, NGOs, international organizations, activists, and journalists. More information about V-Dem is available at <b>v-dem.net</b>, including visualization interfaces for data from 177 countries and the complete 2018 dataset for download.The <b>V-Dem archive at Curate ND</b> contains coder-level data and uncertainty estimates.
DOI: 10.7274/25810459.v1
title: Varieties of Democracy (V-Dem) Data — v.13 (2023)

description: Collected data sets from March 2023, Varieties of Democracy, version 13.V-Dem seeks to capture seven different conceptions of democracy—participatory, consensual, majoritarian, deliberative, and egalitarian, in addition to the more familiar electoral and liberal democracy—in all countries since 1900. The different types of democracy are broken down into components and then into more than 400 specific indicators. The reliable, precise nature of the indicators as well as their lengthy historical coverage is useful to scholars studying why democracy succeeds or fails and how it affects human development, as well as to governments and NGOs wishing to evaluate efforts to promote democracy. V-Dem makes the improved indicators freely available for use by researchers, NGOs, international organizations, activists, and journalists. More information about V-Dem is available at <b>v-dem.net</b>, including visualization interfaces for data from 177 countries and the complete 2018 dataset for download.The <b>V-Dem archive at Curate ND</b> contains coder-level data and uncertainty estimates.
DOI: 10.7274/25810768
title: Varieties of Democracy (V-Dem) Data — v.14 (2024)

description: Collected data sets from March 2023, Varieties of Democracy, version 14.V-Dem seeks to capture seven different conceptions of democracy—participatory, consensual, majoritarian, deliberative, and egalitarian, in addition to the more familiar electoral and liberal democracy—in all countries since 1900. The different types of democracy are broken down into components and then into more than 400 specific indicators. The reliable, precise nature of the indicators as well as their lengthy historical coverage is useful to scholars studying why democracy succeeds or fails and how it affects human development, as well as to governments and NGOs wishing to evaluate efforts to promote democracy. V-Dem makes the improved indicators freely available for use by researchers, NGOs, international organizations, activists, and journalists. More information about V-Dem is available at <b>v-dem.net</b>, including visualization interfaces for data from 177 countries and the complete 2018 dataset for download.The <b>V-Dem archive at Curate ND</b> contains coder-level data and uncertainty estimates.<br>
DOI: 10.7274/25810768.v1
title: Varieties of Democracy (V-Dem) Data — v.14 (2024)

description: Collected data sets from March 2023, Varieties of Democracy, version 14.V-Dem seeks to capture seven different conceptions of democracy—participatory, consensual, majoritarian, deliberative, and egalitarian, in addition to the more familiar electoral and liberal democracy—in all countries since 1900. The different types of democracy are broken down into components and then into more than 400 specific indicators. The reliable, precise nature of the indicators as well as their lengthy historical coverage is useful to scholars studying why democracy succeeds or fails and how it affects human development, as well as to governments and NGOs wishing to evaluate efforts to promote democracy. V-Dem makes the improved indicators freely available for use by researchers, NGOs, international organizations, activists, and journalists. More information about V-Dem is available at <b>v-dem.net</b>, including visualization interfaces for data from 177 countries and the complete 2018 dataset for download.The <b>V-Dem archive at Curate ND</b> contains coder-level data and uncertainty estimates.<br>
DOI: 10.15468/dl.szjud6
title: Occurrence Download

description: A dataset containing 11139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.49778 24.81153,-79.23885 26.80335,-81.26076 31.23836,-88.47097 31.56397,-88.62357 29.99079,-86.14387 29.72611,-84.16011 28.69389,-83.09193 28.66042,-83.05378 27.27905,-82.51969 25.84597,-81.29891 24.94996,-80.49778 24.81153))",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera Linnaeus, 1758"
 ]
}

 The dataset includes 11139 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026976-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83mrpm
title: Occurrence Download

description: A dataset containing 1098 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca marsupiata (Duméril & Bibron, 1841)"
 ]
}

 The dataset includes 1098 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026977-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11642743
title: modelforge curated dataset: ANI-2x

description: Modelforge Curated ANI-2x Dataset:- 1000 configuration test set- Version: nc_1000_v1.1

This provides a curated hdf5 file for a subset of the ANI-2x dataset designed to be compatible with modelforge, an infrastructure to implement and train NNPs.  This dataset contains 101 unique records for 1000  total configurations, with a maximum of 10 per system.   Note, configurations are parititioned into records based on the array of atomic species appearing in sequence in the source data file.

When applicable, the units of properties are provided in the datafile,  encoded as strings compatible with the openff-units package.  For more information about the structure of the data file, please see the following:

This dataset is compatible with modelforge hdf5 schema 2.

Properties Included:     



atomic_numbers 

positions       



"per_atom"

 "nanometer"



forces  



"per_atom"

 "kilojoule_per_mole / nanometer"



energies        



"per_system"

"kilojoule_per_mole"




Source Dataset:



The ANI-2x data set includes properties for small organic molecules that contain H, C, N, O, S, F, and Cl. This dataset contains 9651712 conformers. This data was generated with the wB97X/631Gd level of theory used in the original ANI-2x paper, calculated using Gaussian 09.


Citations:

ANI-2x publication:







Devereux, C, Zubatyuk, R., Smith, J. et al. "Extending the applicability of the ANI deep learning molecular potential to sulfur and halogens." Journal of Chemical Theory and Computation 16.7 (2020): 4192-4202. https://doi.org/10.1021/acs.jctc.0c00121




Source dataset, released with CC Attribution 4.0 International license:



Huddleston, K., Zubatyuk, R., Smith, J., Roitberg, A., Isayev, O., Pickering, I., Devereux, C., & Barros, K. (2023). ANI-2x Release [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10108942