cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18529537
title: CMA-GFS outputs

description: Data files: 

In the U data file, u_era5 represents the ERA5 zonal wind at pressure levels, v2 represents the zonal wind in the CTL experiment and w2 represents the zonal wind in the NHE experiment at pressure levels. In the V file, u_era5 represents the ERA5 meridional wind, v2 represents the meridional wind in the CTL experiment and w2 represents the meridional wind on pressure levels in the NHE experiment. In the T file, u_era5 represents the ERA5 temperature, v2 represents temperature in the CTL experiment and w2 represents temperature at pressure levels in the NHE experiment. The ugwd_ctl variable in the Ugwd file represents the zonal gravity wave drag in the CTL experiment, and the ugwd_nhe variable represents the zonal gravity wave drag at pressure levels in the NHE experiment.The vgwd_ctl variable in the Vgwd file represents the meridional gravity wave drag in the CTL experiment, and the vgwd_nhe variable represents the meridional gravity wave drag at pressure levels in the NHE experiment.

 Code files:

The GWD_KD05 file represents the hydrostatic orographic gravity wave parameterization scheme and the GWD_NHE file represents the modified nonhydrostatic orographic gravity wave parameterization scheme.
DOI: 10.5281/zenodo.18529536
title: CMA-GFS outputs

description: Data files: 

In the U data file, u_era5 represents the ERA5 zonal wind at pressure levels, v2 represents the zonal wind in the CTL experiment and w2 represents the zonal wind in the NHE experiment at pressure levels. In the V file, u_era5 represents the ERA5 meridional wind, v2 represents the meridional wind in the CTL experiment and w2 represents the meridional wind on pressure levels in the NHE experiment. In the T file, u_era5 represents the ERA5 temperature, v2 represents temperature in the CTL experiment and w2 represents temperature at pressure levels in the NHE experiment. The ugwd_ctl variable in the Ugwd file represents the zonal gravity wave drag in the CTL experiment, and the ugwd_nhe variable represents the zonal gravity wave drag at pressure levels in the NHE experiment.The vgwd_ctl variable in the Vgwd file represents the meridional gravity wave drag in the CTL experiment, and the vgwd_nhe variable represents the meridional gravity wave drag at pressure levels in the NHE experiment.

 Code files:

The GWD_KD05 file represents the hydrostatic orographic gravity wave parameterization scheme and the GWD_NHE file represents the modified nonhydrostatic orographic gravity wave parameterization scheme.
DOI: 10.15468/dl.uwzj3m
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia patens",
 "Year 2001-2026"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001826-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvmhcn
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Zimbabwe",
 "TaxonKey is Balearica regulorum",
 "Year 1996-2004"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001827-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529578
title: Epistemic Inequality in Indonesian LIS Research: How Journal Rankings Shape Methodological Bias and Practical Relevance
DOI: 10.5281/zenodo.18529579
title: Epistemic Inequality in Indonesian LIS Research: How Journal Rankings Shape Methodological Bias and Practical Relevance
DOI: 10.15468/dl.rr5pu5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia pilulosa",
 "Year 1990-2026"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001828-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18334116
title: Data and code for climate–suitability disequilibrium diagnostics of four Larix species across China

description: This repository contains the processed data and R code supporting the analyses presented in the manuscript entitled “Climate–suitability disequilibrium diagnostics for four Larix species across China”.

The dataset includes:(1) Processed habitat suitability projections under current and future climate scenarios;(2) Climate–suitability disequilibrium indices (Pi, Di, and Zi) for four Larix species;(3) Threshold sensitivity analyses and categorical classification outputs;(4) R scripts used for data processing, statistical analyses, and figure generation.

All data were generated and processed by the authors. The repository is intended to ensure transparency and reproducibility of the analyses.
DOI: 10.5281/zenodo.18334115
title: Data and code for climate–suitability disequilibrium diagnostics of four Larix species across China

description: This repository contains the processed data and R code supporting the analyses presented in the manuscript entitled “Climate–suitability disequilibrium diagnostics for four Larix species across China”.

The dataset includes:(1) Processed habitat suitability projections under current and future climate scenarios;(2) Climate–suitability disequilibrium indices (Pi, Di, and Zi) for four Larix species;(3) Threshold sensitivity analyses and categorical classification outputs;(4) R scripts used for data processing, statistical analyses, and figure generation.

All data were generated and processed by the authors. The repository is intended to ensure transparency and reproducibility of the analyses.
DOI: 10.15468/dl.ty7k7u
title: Occurrence Download

description: A dataset containing 29945 records in GBIF matching the query:
SELECT
 datasetkey,
 institutioncode,
 occurrenceid,
 eventdate,
 scientificname,
 dynamicproperties
FROM
 occurrence
WHERE
 LOWER(occurrence.dynamicproperties) LIKE '%digin%'

 The dataset's 29945 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001822-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7psy2n
title: Occurrence Download

description: A dataset containing 25903102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25903102 records from 2025 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001813-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4vax3
title: Occurrence Download

description: A dataset containing 903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammannia baccifera L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 903 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287461-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwzntd
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum yuccifolium (Lam.) DC."
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083915-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxkr5j
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyteuma tetramerum Schur",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416363-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqz9yj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thymbra calostachya (Rech.f.) Rech.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287280-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsps2b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea appendicata Klokov",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293129-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em5w7z
title: Occurrence Download

description: A dataset containing 149040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sambucus racemosa L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149040 records from 523 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345965-200613084148143/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.28685312.v2
title: Supplementary Material for: Evidence on protective factors for dementia and cognitive impairment in older adults: an umbrella review

description: Introduction: Dementia represents a global public health challenge, and no conclusive evidence exists on how to prevent its onset or at least reduce the risk. This umbrella review aims to identify interventions or exposures that can reduce the incidence of dementia or cognitive impairment.
Methods: A search of meta-analyses and systematic reviews published from 2018 to 2025 (January) was conducted across four databases. Articles assessing associations between interventions or exposures to protective factors and incidence of dementia or cognitive decline in non-demented older adults were selected.
Results: Out of 6,324 articles, 177 underwent full-text screening, and 17 were included. They showed that psychosocial factors (social engagement, purpose in life, life satisfaction, and cognitive reserve) and influenza vaccination protect against dementia. Evidence on antihypertensives is promising, while evidence on low-dose aspirin is promising yet inconclusive. No clear results emerged for both single- and multi-domain lifestyle interventions.
Conclusions: These results offer new insight on potential targets for dementia prevention, a global public health priority. In particular, favorable psychosocial factors and influenza vaccination, undervalued in the scientific debate on dementia prevention, emerged as promising and feasible targets for preventive initiatives. Future research should focus on fine-tuning interventions to promote brain health, exploring their underlying mechanisms, and developing targeted and personalized strategies for specific population subgroups.
DOI: 10.57760/sciencedb.24293
title: Penetrating H-ENA on Mars from 2021-12-28 to 2021-12-31
title: 2021-12-28至2021-12-31火星沉降H-ENA数据集

description: The Mars Ion and Neutral Particle Analyzer (MINPA) is one of the three scientific payloads onboard the Tianwen-1 orbiter. This dataset uses MINPA ENA detection data collected from December 28 to December 31, 2021, to calculate the flux and velocity of precipitating H-ENAs. The dataset consists of two parts: H_intensity (H-ENA flux density) and H_velocity (H-ENA bulk velocity). The data are stored in .mat format and can be directly read using MATLAB.
description: The Mars Ion and Neutral Particle Analyzer (MINPA) is one of the three scientific payloads onboard the Tianwen-1 orbiter. This dataset uses MINPA ENA detection data collected from December 28 to December 31, 2021, to calculate the flux and velocity of precipitating H-ENAs. The dataset consists of two parts: H_intensity (H-ENA flux density) and H_velocity (H-ENA bulk velocity). The data are stored in .mat format and can be directly read using MATLAB.
DOI: 10.15468/dl.pev967
title: Occurrence Download

description: A dataset containing 11299903 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 11299903 records from 1340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131031-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c46n2d
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squilla edentata (Lunz, 1937)"
 ]
}

 The dataset includes 111 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132892-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hccq82
title: Occurrence Download

description: A dataset containing 10324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "Year 2008-2008"
 ]
}

 The dataset includes 10324 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131078-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxprm4
title: Occurrence Download

description: A dataset containing 5645 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptonycteris yerbabuenae Martínez & Villa-R., 1940"
 ]
}

 The dataset includes 5645 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120950-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6psz69
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Locality is one of (Kalakkad Mundanthurai Tiger Reserve, Kalakkad Mundanthurai Tiger Reserve (KMTR), Tamil , Kalakkad Mundanthurai Tiger Reserve, Tamil Nadu, Kalakkad Range Office to Shengaltheri, Kalakkad Mundanthurai Sanctuary)"
 ]
}

 The dataset includes 1009 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wkcfx
title: Occurrence Download

description: A dataset containing 105446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chytridiomycota"
 ]
}

 The dataset includes 105446 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168102-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163545.10fu
title: SH0163545.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163546.10fu
title: SH0163546.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163547.10fu
title: SH0163547.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163548.10fu
title: SH0163548.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163549.10fu
title: SH0163549.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163550.10fu
title: SH0163550.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.