cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17043/oden-sas-2021-foraminifera-morphometric-1
title: Planktonic foraminifera morphometric data from expedition SAS, Arctic Ocean, 2021
DOI: 10.15468/dl.93td7j
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011574-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/3vupew
title: CSR GRACE & GRACE-FO Dynamic Ocean Mascons RL06.2DO

description: RL06.2DO monthly mass anomaly grids from GRACE and GRACE-FO determined following CSR RL06.2 processing altered for Dynamic Ocean analysis. 
GAD-based regularization constraints are used over the Arctic Ocean. 
The mascon processing includes a specific handling of the major earthquakes in Japan and Andaman Bay, similar to what was done for the RL06.2EQ mascons (doi:10.18738/T8/ZE7DUD), with a model of the Earthquake signals removed from the mascons in those regions. 
Additionally a GRD model is computed using the mascon ocean mask and consistent with Tamisiea et al., 2010, (doi:10.1029/2009JC005687) and removed from the mascons.
The Earthquake and GRD models are provided as a companion grids, but both signals are already corrected for in the RL06.2DO mascons. 
All grids are provided globally with a quarter degree sampling in longitude/latitude. Only the ocean mascons are reported. The land mascons are set to "-99999.0". The grids cover the GRACE and GRACE-FO period from 04/2002 to 05/2024
description: The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing computational resources that have contributed to the research results reported within this paper. URL: http://www.tacc.utexas.edu
DOI: 10.15468/dl.bj5fqr
title: Occurrence Download

description: A dataset containing 912028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1980-2026"
 ]
}

 The dataset includes 912028 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012293-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/4eu3up
title: Maialib: uma biblioteca de funções para análise e composição musical assistida por computador com aplicação a modelos de dissonância

description: O objetivo dessa pesquisa é, principalmente, apresentar uma nova ferramenta de análise e composição musical assistida por computador denominada maialib, a qual, tecnicamente, consiste em uma biblioteca de funções escrita em C++ com wrapper para Python, e disponibilizada como software open-source na Internet.
DOI: 10.34740/kaggle/dsv/14509962
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34770/afry-mw43
title: Data for "A Data-Driven Approach to Real-Time Vertical Position Estimation for NSTX-U Vertical Stability Control"

description: This repository provides the data which is plotted in the figures of the
 article titled "A Data-Driven Approach to Real-Time Vertical Position
 Estimation for NSTX-U Vertical Stability Control", submitted to the
 journal Plasma Physics and Controlled Fusion in 2025. The files include
 archived measurements of the plasma vertical position from previous NSTX-U
 operations, the results of model regression analysis, and the results of
 simulations of vertical position control using the TokaMaker code.
DOI: 10.3886/e244234
title: Dissolved-Selenium Concentrations and Loads in the Lower Gunnison River Basin, Colorado, as Part of the Selenium Management Program (ver. 5.0, September 2025)

description: The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation, completed a review of dissolved selenium data collected from the Selenium Management Program network during each water year (WY) in the lower Gunnison River Basin, in western Colorado. The data tables include dissolved-selenium concentrations, selected streamflow data, and computed loads as well as dissolved-selenium regression model calibration and output tables. Concentration and streamflow data are compiled from the USGS National Water Information System database. Tables include monitoring location identification information, data collection time frames, concentration data, as well as calculations of mean, median, select percentiles, and percentage reduction in loads. Tables are organized by each year, with a zipped folder for WY 2018 (October 1, 2017 through September 30, 2018), WY 2019 (October 1, 2018 through September 30, 2019), WY 2020 (October 1, 2019 through September 30, 2020), WY 2021 (October 1, 2020 through September 30, 2021), WY 2022 (October 1, 2021 through September 30, 2022), WY 2023 (October 1, 2022 through September 30, 2023), and WY 2024 (October 1, 2023 through September 30, 2024). Within each zipped folder is a metadata .xml file describing each comma-separated value (.csv) data file contained therein. The methods used to complete this review are available in Henneberg (2018) and Mayo and Leib (2012). Version 5.0 contains additional zipped folder for WY2024, which was not included in the original data release. Although previous versions are available from the author, all records in previous versions can be found in version 5.0. 
First posted - April 23, 2021 (available from author)
Revised - September 2, 2022 (version 2.0)
Revised - August 8, 2023 (version 3.0)
Revised - March 4, 2025 (version 4.0)
Revised - September 24, 2025 (version 5.0)
description: (Downloaded 2025-11-25)
DOI: 10.3886/e244234v1
title: Dissolved-Selenium Concentrations and Loads in the Lower Gunnison River Basin, Colorado, as Part of the Selenium Management Program (ver. 5.0, September 2025)

description: The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation, completed a review of dissolved selenium data collected from the Selenium Management Program network during each water year (WY) in the lower Gunnison River Basin, in western Colorado. The data tables include dissolved-selenium concentrations, selected streamflow data, and computed loads as well as dissolved-selenium regression model calibration and output tables. Concentration and streamflow data are compiled from the USGS National Water Information System database. Tables include monitoring location identification information, data collection time frames, concentration data, as well as calculations of mean, median, select percentiles, and percentage reduction in loads. Tables are organized by each year, with a zipped folder for WY 2018 (October 1, 2017 through September 30, 2018), WY 2019 (October 1, 2018 through September 30, 2019), WY 2020 (October 1, 2019 through September 30, 2020), WY 2021 (October 1, 2020 through September 30, 2021), WY 2022 (October 1, 2021 through September 30, 2022), WY 2023 (October 1, 2022 through September 30, 2023), and WY 2024 (October 1, 2023 through September 30, 2024). Within each zipped folder is a metadata .xml file describing each comma-separated value (.csv) data file contained therein. The methods used to complete this review are available in Henneberg (2018) and Mayo and Leib (2012). Version 5.0 contains additional zipped folder for WY2024, which was not included in the original data release. Although previous versions are available from the author, all records in previous versions can be found in version 5.0. 
First posted - April 23, 2021 (available from author)
Revised - September 2, 2022 (version 2.0)
Revised - August 8, 2023 (version 3.0)
Revised - March 4, 2025 (version 4.0)
Revised - September 24, 2025 (version 5.0)
description: (Downloaded 2025-11-25)
DOI: 10.15468/dl.em9yrx
title: Occurrence Download

description: A dataset containing 8771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is United States of America",
 "StateProvince is California",
 "Year is 2016",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 8771 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012325-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14509969
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.34894/ecy6fh
title: Replication Data for the scientific paper: BatBuddy: an improved feeding buzz and social calls detection tool for acoustic bat recordings

description: Replication Data for the scientific paper: BatBuddy: an improved feeding buzz and social calls detection tool for acoustic bat recordings.
description: This dataset contains the training and test dataset for the method paper titled BatBuddy: an improved feeding buzz and social calls detection tool for acoustic bat recordings
DOI: 10.15468/dl.qeda2p
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Saint Pierre and Miquelon, Canada, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gerris buenoi"
 ]
}

 The dataset includes 1036 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012326-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xj9wv8
title: Occurrence Download

description: A dataset containing 391474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Reduviidae"
 ]
}

 The dataset includes 391474 records from 1211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012266-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15478118
title: TIBBIYОT FАKULTETI TА'LIM JАRАYОNI TIZIMIDА SIMULАTSIYА TEXNОLОGIYАLАRI

description: Аyni pаytdа О‘zbekistоn Respublikаsidа аhоligа tibbiy yоrdаm kо‘rsаtish sifаti vа sаmаrаdоrligini оshirishgа kаttа e’tibоr qаrаtilmоqdа.

Аmаliy sоg'liqni sаqlаshdа bemоr vа tibbiyоt xоdimi о'rtаsidаgi ziddiyаtning eng kо'p uchrаydigаn sаbаblаri - tibbiy muоlаjаlаrni - diаgnоstikа vа dаvоlаshni аmаlgа оshirishdа аmаliy kо'nikmаlаrning etаrli dаrаjаdа emаsligi, bemоrlаr vа ulаrning qаrindоshlаri bilаn mulоqоt qilishdа deоntоlоgiyа vа аxlоq qоidаlаrining buzilishidir.
DOI: 10.5281/zenodo.15478119
title: TIBBIYОT FАKULTETI TА'LIM JАRАYОNI TIZIMIDА SIMULАTSIYА TEXNОLОGIYАLАRI

description: Аyni pаytdа О‘zbekistоn Respublikаsidа аhоligа tibbiy yоrdаm kо‘rsаtish sifаti vа sаmаrаdоrligini оshirishgа kаttа e’tibоr qаrаtilmоqdа.

Аmаliy sоg'liqni sаqlаshdа bemоr vа tibbiyоt xоdimi о'rtаsidаgi ziddiyаtning eng kо'p uchrаydigаn sаbаblаri - tibbiy muоlаjаlаrni - diаgnоstikа vа dаvоlаshni аmаlgа оshirishdа аmаliy kо'nikmаlаrning etаrli dаrаjаdа emаsligi, bemоrlаr vа ulаrning qаrindоshlаri bilаn mulоqоt qilishdа deоntоlоgiyа vа аxlоq qоidаlаrining buzilishidir.
DOI: 10.6084/m9.figshare.29179328
title: A Novel Gain-of-Function Variant in RNF13 Cause Developmental and epileptic encephalopathy in a Chinese Patient

description: Our study enriches the genetic landscape of DEE73 and augments the understanding of phenotypic variability resulting from <i>RNF13</i> gene variants. The findings hold considerable significance for refining variant-based screening, genetic diagnosis, and comprehending the molecular pathogenesis underlying <i>RNF13</i>-related disorders.
DOI: 10.6084/m9.figshare.29179328.v1
title: A Novel Gain-of-Function Variant in RNF13 Cause Developmental and epileptic encephalopathy in a Chinese Patient

description: Our study enriches the genetic landscape of DEE73 and augments the understanding of phenotypic variability resulting from <i>RNF13</i> gene variants. The findings hold considerable significance for refining variant-based screening, genetic diagnosis, and comprehending the molecular pathogenesis underlying <i>RNF13</i>-related disorders.
DOI: 10.15468/dl.vf3hvb
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014799-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jnk6m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desdemona ornata",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039240-250811113504898/datasets/export for details.
DOI: 10.15468/dl.qr73h2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desdemona ornata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039239-250811113504898/datasets/export for details.
DOI: 10.15468/dl.vg27n2
title: Occurrence Download

description: A dataset containing 3619 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zephyranthes atamasco"
 ]
}

 The dataset includes 3619 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039241-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evxr6f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desdemona ornata",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039242-250811113504898/datasets/export for details.
DOI: 10.15468/dl.83nmam
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zephyranthes simpsonii"
 ]
}

 The dataset includes 540 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039243-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16934778
title: Wide binary data to test the validity of Newtonian gravity considering the perspective effects

description: In arXiv:2507.13177, we used wide binary data to test Newtonian gravity by considering the perspective effects. In particular, we used CSV files, basically following Chae's format in his following Zenodo repository, but slightly modified to consider the perspective effects.

A statistical sample of pure wide binaries and python scripts to test gravity with stacked velocity profiles

Python scripts to test gravity with the dynamics of wide binary stars

We added two columns: 'mu1ra_perspec[mas/yr]' and 'mu1dec_perspec[mas/yr]'. To calculate the relative velocity of wide binaries by considering the perspective effects, use these two columns, instead of 'mu1ra[mas/yr]' and 'mu1dec[mas/yr]'.

As explained at the end of Section 2, we merged two data sets to produce one data set for most of our analysis in the paper. 'penoyre.csv', containing  8095 wide binaries, was obtained from the condition that both stars have fractional proper motion uncertainties less than 0.5%. 'sigma_vp50_penoyre.csv', containing 8806 wide binaries, was obtained from the condition that both stars have the error of the relative (sky-projected) 2D velocity smaller than 50 m/s. They mostly overlap, and we obtained 'merge.csv' by merging these two files.

'merged_format.csv' is obtained from 'merged.csv' by replacing the columns 'mu1ra[mas/yr]' and 'mu1dec[mas/yr]' by 'mu1ra_perspec[mas/yr]' and 'mu1dec_perspec[mas/yr]' so that it can be run directly by Chae's codes.

'merged_format_flame.csv' is obtained by replacing the masses with GAIA FLAME masses when they are available. (42.7% of stars had GAIA FLAME masses.) It is used to draw the right panel of Fig. 6.

'mergedruwe11_format.csv' and 'mergedruwe13_format.csv' were obtained by the condition ruwe<1.1 and ruwe<1.3, respectively, instead of ruwe<1.2, and were used to draw Fig. 12.

'belokurov_fomat.csv' was obtained from 'merged_format.csv' by imposing a stricter condition in the Color-Magnitude Diagram as explained in Appendix C. It was used to draw Fig. 14. 'merged_format_bothRV.csv' was obtained from 'merged_format.csv' by filtering the ones with both radial velocities available and was used to draw Fig. 15. 

In all these files, a fake value of radial velocity error of 10,000 km/s was entered if the radial velocity of a star is unavailable. For such a star, the radial velocity is assumed to be the same as the radial velocity of its counterpart. As we removed binaries if neither of their two radial velocities is available, every star has a nominal value of radial velocity.
DOI: 10.5281/zenodo.16934779
title: Wide binary data to test the validity of Newtonian gravity considering the perspective effects

description: In arXiv:2507.13177, we used wide binary data to test Newtonian gravity by considering the perspective effects. In particular, we used CSV files, basically following Chae's format in his following Zenodo repository, but slightly modified to consider the perspective effects.

A statistical sample of pure wide binaries and python scripts to test gravity with stacked velocity profiles

Python scripts to test gravity with the dynamics of wide binary stars

We added two columns: 'mu1ra_perspec[mas/yr]' and 'mu1dec_perspec[mas/yr]'. To calculate the relative velocity of wide binaries by considering the perspective effects, use these two columns, instead of 'mu1ra[mas/yr]' and 'mu1dec[mas/yr]'.

As explained at the end of Section 2, we merged two data sets to produce one data set for most of our analysis in the paper. 'penoyre.csv', containing  8095 wide binaries, was obtained from the condition that both stars have fractional proper motion uncertainties less than 0.5%. 'sigma_vp50_penoyre.csv', containing 8806 wide binaries, was obtained from the condition that both stars have the error of the relative (sky-projected) 2D velocity smaller than 50 m/s. They mostly overlap, and we obtained 'merge.csv' by merging these two files.

'merged_format.csv' is obtained from 'merged.csv' by replacing the columns 'mu1ra[mas/yr]' and 'mu1dec[mas/yr]' by 'mu1ra_perspec[mas/yr]' and 'mu1dec_perspec[mas/yr]' so that it can be run directly by Chae's codes.

'merged_format_flame.csv' is obtained by replacing the masses with GAIA FLAME masses when they are available. (42.7% of stars had GAIA FLAME masses.) It is used to draw the right panel of Fig. 6.

'mergedruwe11_format.csv' and 'mergedruwe13_format.csv' were obtained by the condition ruwe<1.1 and ruwe<1.3, respectively, instead of ruwe<1.2, and were used to draw Fig. 12.

'belokurov_fomat.csv' was obtained from 'merged_format.csv' by imposing a stricter condition in the Color-Magnitude Diagram as explained in Appendix C. It was used to draw Fig. 14. 'merged_format_bothRV.csv' was obtained from 'merged_format.csv' by filtering the ones with both radial velocities available and was used to draw Fig. 15. 

In all these files, a fake value of radial velocity error of 10,000 km/s was entered if the radial velocity of a star is unavailable. For such a star, the radial velocity is assumed to be the same as the radial velocity of its counterpart. As we removed binaries if neither of their two radial velocities is available, every star has a nominal value of radial velocity.
DOI: 10.15468/dl.fq62jd
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea eugenioides"
 ]
}

 The dataset includes 226 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039244-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.542e78
title: Occurrence Download

description: A dataset containing 39412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium vulgare",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39412 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039246-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cprqvd
title: Occurrence Download

description: A dataset containing 132490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dianthus deltoides"
 ]
}

 The dataset includes 132490 records from 665 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039153-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzvmbv
title: Occurrence Download

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zieria pilosa"
 ]
}

 The dataset includes 1167 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039248-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9c3xk
title: Occurrence Download

description: A dataset containing 16618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica"
 ]
}

 The dataset includes 16618 records from 561 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039245-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnxx2u
title: Occurrence Download

description: A dataset containing 1066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indigofera amblyantha"
 ]
}

 The dataset includes 1066 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039247-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.346ycp
title: Occurrence Download

description: A dataset containing 13327 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The observation records from whale and dolphin watching inshore of Hualien, eastern Taiwan｜臺灣花蓮近海賞鯨之鯨豚觀測紀錄"
 ]
}

 The dataset includes 13327 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013101-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.