cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0201824.10fu
title: SH0201824.10FU

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/sh0201825.10fu
title: SH0201825.10FU

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/sh0201826.10fu
title: SH0201826.10FU

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/sh0201827.10fu
title: SH0201827.10FU

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/sh0201828.10fu
title: SH0201828.10FU

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/sh0201829.10fu
title: SH0201829.10FU

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/sh0201830.10fu
title: SH0201830.10FU

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: 10.15468/dl.r86cjy
title: Occurrence Download

description: A dataset containing 61499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis biennis L.",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 61499 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002791-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf4g53
title: Occurrence Download

description: A dataset containing 20881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Malaysia, Singapore)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthracoceros albirostris (Shaw, 1808)",
 "Year 2001-2025"
 ]
}

 The dataset includes 20881 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002795-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27um69
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Malaysia, Singapore)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthracoceros albirostris (Shaw, 1808)",
 "Year 1975-2000"
 ]
}

 The dataset includes 376 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002797-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amcqmd
title: Occurrence Download

description: A dataset containing 98401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample, Specimen, Material citation)"
 ]
 }
 },
 "TaxonKey is Odocoileus hemionus (Rafinesque, 1817)"
 ]
}

 The dataset includes 98401 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002796-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbhybm
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna schlechteri Harms"
 ]
}

 The dataset includes 226 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002798-250214102907787/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.28286939.v1
title: HOTAIR expression as a biomarker in glioblastoma multiforme: a comprehensive meta-analysis of current evidence

description: Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM. We searched the literature for studies on HOTAIR expression in GBM patients. A meta-analysis of nine studies assessed standardized mean difference (SMD) and 95% confidence intervals (CIs) using a random-effects model. Subgroup analyses were performed based on sample source, country, and study design. Additionally, we conducted meta-regression and publication bias analyses. The meta-analysis found a significant positive association between elevated HOTAIR expression and GBM (SMD = 8.3, 95% CI 5.8–10.8, <i>p</i> = 0.00). Considerable heterogeneity was observed (Q-value: 1174.2, df = 9, I<sup>2</sup> = 99.2%, <i>p</i> = 0.00). Subgroup analyses indicated significant associations in tissue samples and studies from the USA and China. Meta-regression revealed that study design and country contributed to the observed heterogeneity, with no significant publication bias detected. This analysis confirms the significant link between HOTAIR expression and GBM, highlighting HOTAIR as a potential therapeutic target and biomarker. Further research is necessary to clarify the biological mechanisms involved in this association.
DOI: 10.6084/m9.figshare.28286939
title: HOTAIR expression as a biomarker in glioblastoma multiforme: a comprehensive meta-analysis of current evidence

description: Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM. We searched the literature for studies on HOTAIR expression in GBM patients. A meta-analysis of nine studies assessed standardized mean difference (SMD) and 95% confidence intervals (CIs) using a random-effects model. Subgroup analyses were performed based on sample source, country, and study design. Additionally, we conducted meta-regression and publication bias analyses. The meta-analysis found a significant positive association between elevated HOTAIR expression and GBM (SMD = 8.3, 95% CI 5.8–10.8, <i>p</i> = 0.00). Considerable heterogeneity was observed (Q-value: 1174.2, df = 9, I<sup>2</sup> = 99.2%, <i>p</i> = 0.00). Subgroup analyses indicated significant associations in tissue samples and studies from the USA and China. Meta-regression revealed that study design and country contributed to the observed heterogeneity, with no significant publication bias detected. This analysis confirms the significant link between HOTAIR expression and GBM, highlighting HOTAIR as a potential therapeutic target and biomarker. Further research is necessary to clarify the biological mechanisms involved in this association.
DOI: 10.15468/dl.ffkvz8
title: Occurrence Download

description: A dataset listing the 151 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Geometry POLYGON((-2.87395 53.17705,-2.86378 53.17705,-2.86378 53.18439,-2.87395 53.18439,-2.87395 53.17705))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 151 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002794-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9y9xb
title: Occurrence Download

description: A dataset containing 5162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Taiwan Wild Bird Federation Bird Records Database, 嘉義縣阿里山鄉中大型哺乳動物相對豐度與分布調查暨各部落傳統文化祭儀中野生動物之利用及當代狩獵範圍之探討 Abundance and distribution of medium- to large-sized mammals, usage of wildlife in traditional ceremonies and contemporary hunting territories of the aboriginal tribes in Alishan Township, Chiayi County, iNaturalist Research-grade Observations, GalliForm: Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800-2008, The Taiwan Breeding Bird Survey Data, Observation.org, Nature data from around the World, Taiwan New Year Bird Count)",
 "TaxonKey is Syrmaticus mikado (Ogilvie-Grant, 1906)"
 ]
}

 The dataset includes 5162 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002799-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sqbzh
title: Occurrence Download

description: A dataset containing 1512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pometia pinnata J.R.Forst. & G.Forst.",
 "Country is Indonesia"
 ]
}

 The dataset includes 1512 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002800-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tkwd9
title: Occurrence Download

description: A dataset containing 8820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Andropogon virginicus L., Andropogon virginicus f. virginicus, Andropogon glaucescens Schltdl. ex Hack., Andropogon virginicus var. decipiens C.S.Campb., Andropogon vaginatus Elliott, Andropogon macrourus var. glaucopsis Elliott, Andropogon pauciflorus Salzm., Anatherum virginicum (L.) Desv., Andropogon eriophorus Scheele, Holcus virginicus Steud., Andropogon dissitiflorus var. vaginatus Chapm. ex Gatt., Andropogon virginicus var. genuinus Fernald & Griscom, Anatherum virginicum Spreng., Andropogon virginicus var. scabriglumus C.Campbell, Andropogon pauciflorus Salzm. ex Steud., Andropogon tetrastachyus Elliott, Dimeiostemon tetrastachys Raf., Andropogon dissitiflorus var. vaginatus Chapm., Dimeiostemon vaginatus Raf. ex B.D.Jacks., Andropogon virginicus subsp. genuinus Hack., Dimeiostemon vaginatus Raf., Andropogon dissitiflorus Michx., Dimeiostemon tetrastachys Raf. ex B.D.Jacks., Andropogon macrourus var. viridis Vasey, Andropogon curtisianus Steud., Andropogon louisianae Steud., Andropogon virginicus var. viridis Hack., Andropogon decipiens (C.S.Campb.) E.L.Bridges & Orzell, Andropogon virginicus var. vaginatus (Elliott) Alph.Wood, Andropogon virginicus var. vaginatus Chapm., 1897, Sorghum virginicum (L.) Kuntze, Cymbopogon glaucus Schult., Andropogon virginicus var. tetrastachyus (Elliott) Hack., Anatherum virginicum var. tetrastachyum (Ell.) Roberty, Cinna lateralis Walter)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 8820 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002801-250214102907787/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/10772567
title: World Weather Repository ( Daily Updating )
DOI: 10.6084/m9.figshare.28429064
title: Validation reports + pdb files + map files of PDB ID 9LK4 and PDB ID 9LK5

description: Validation reports + pdb files + map files of PDB ID 9LK4 (EMD-63167) and PDB ID 9LK5 (EMD-63168)
DOI: 10.15468/dl.4c67cj
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhabdophis tigrinus (Boie, 1826)"
 ]
}

 The dataset includes 269 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002802-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efrakk
title: Occurrence Download

description: A dataset containing 3784448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "Geometry POLYGON ((125.52 -37.12214, 142.5665 -39.04918, 143.194 -25.16979, 128.3434 -24.04054, 125.52 -37.12214))"
 ]
}

 The dataset includes 3784448 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215465-230224095556074/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.28426628
title: <b>Shared data for the manuscript "</b><b>Orographic Gravity Wave Drag Parameterization Improving the Simulation of Heavy Rainfall Produced by Northeast China Cold Vortex in High-Resolution Numerical Model</b><b>"</b>

description: There are files including WRF simulation data (hourly) with different OGWD parameterization schemes. Variables include geopotential height, u component of wind, v component of wind, orographic gravity wave drag (OGWD). Due to the limitation of file size, we only upload the data used in the manuscript.
DOI: 10.6084/m9.figshare.28426628.v1
title: <b>地形重力波阻力参数化改进了高分辨率数值模型中对东北寒涡产生的强降雨的模拟</b>

description: 有些文件包括 WRF 仿真数据（每小时），具有不同的 OGWD 参数化方案。变量包括位势高度、风的 u 分量、风的 v 分量、地形重力波阻力等。 由于文件大小限制，我们只上传了我们在手稿中使用的数据。
DOI: 10.15468/dl.ga4gsf
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is one of (GalliForm: Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800-2008, EOD – eBird Observation Dataset, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, iNaturalist Research-grade Observations, Ornithology Collection Non Passeriformes - Royal Ontario Museum, Sharing vertebrate occurrence data from camera traps in Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Syrmaticus reevesii (J.E.Gray, 1829)"
 ]
}

 The dataset includes 598 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002805-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjc3cp
title: Occurrence Download

description: A dataset containing 9038981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((125.52 -37.12214, 142.5665 -39.04918, 143.194 -25.16979, 128.3434 -24.04054, 125.52 -37.12214))"
 ]
}

 The dataset includes 9038981 records from 537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216586-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13220763
title: Supplementary dataset for "Global water gaps under future warming levels"

description: The folder contains water gap data relative to the paper:Rosa, L., Sangiorgio, M. Global water gaps under future warming levels. Nat Commun 16, 1192 (2025). https://doi.org/10.1038/s41467-025-56517-2

All water gaps data are in km3/yr.

Gridded data(NetCDF at 0.5°) - baseline   water_gap_baseline.nc: Baseline water gap in the period 2001-2010 - 1.5°C warming (5 models + average)   water_gap_15C_average.nc: Water gap under 1.5°C warming (multi-model average)   water_gap_15C_h08_ipsl-cm6a-lr.nc: Water gap under 1.5°C warming (h08 + ipsl-cm6a-lr)   water_gap_15C_h08_mri-esm2-0.nc: Water gap under 1.5°C warming (h08 + mri-esm2-0)   water_gap_15C_h08_ukesm1-0-ll.nc: Water gap under 1.5°C warming (h08 + ukesm1-0-ll)   water_gap_15C_h08_mpi-esm1-2-hr.nc: Water gap under 1.5°C warming (h08 + mpi-esm1-2-hr)   water_gap_15C_h08_gfdl-esm4.nc: Water gap under 1.5°C warming (h08 + gfdl-esm4) - 3°C warming (5 models + average)   water_gap_3C_average.nc: Water gap under 3°C warming (multi-model average)   water_gap_3C_h08_ipsl-cm6a-lr.nc: Water gap under 3°C warming (h08 + ipsl-cm6a-lr)   water_gap_3C_h08_mri-esm2-0.nc: Water gap under 3°C warming (h08 + mri-esm2-0)   water_gap_3C_h08_ukesm1-0-ll.nc: Water gap under 3°C warming (h08 + ukesm1-0-ll)   water_gap_3C_h08_mpi-esm1-2-hr.nc: Water gap under 3°C warming (h08 + mpi-esm1-2-hr)   water_gap_3C_h08_gfdl-esm4.nc: Water gap under 3°C warming (h08 + gfdl-esm4)

Aggregated data (.xlsx) - source_data.xlsx: Water gap aggregated by country and basin for all the considered scenarios (including multi-model average and agreement analysis)

Note: the global water gap obtained by summing all the countries/basins is not completely equivalent to the sum of all the pixels because some pixels' center is outside the polygon of the corresponding country/basin (differences in the order of 1km/yr3, <0.3%). See sheet "Figure 3" A249:N251 (countries) and "Figure 5" A235:N237 (basins) for further details.