cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/rkd-04l-gpt
title: Pharostoma

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ard-gga-dme
title: Arthropoda

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nyh-9z4-e9f
title: †Encrinus Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hw2-enj-19c
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lwy-wcx-6w6
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e7h-a7z-rdt
title: †Cypridea (Cypridea) Bosquet, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2f9-3as-qkc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a0q-bvc-6pe
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4vl-15y-lxw
title: †Dorothia conulus (Reuss, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n38-xz6-sc5
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtp-9fr-v4a
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.h29tf9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019884-250811113504898/datasets/export for details.
DOI: 10.3535/4hv-s0p-ajf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bds-v0m-xky
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mg8-czm-v3g
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wnd-z72-f7l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l6c-tae-955
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yll-l1t-qr3
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ya-epj-g0f
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.3dfxvf
title: Occurrence Download

description: A dataset containing 21864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhus glabra)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21864 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019882-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/96a-h85-k46
title: †Fenestella Lonsdale, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p79-2b2-lww
title: †Lumbriconereites basalis Hinde, 1879

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35e-lta-t3v
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jsx-7a7-yxv
title: †Glomerula gordialis (von Schlotheim, 1820)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1te-1ag-epg
title: Cellepora Linnaeus, 1767

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l4h-y2c-lxm
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3pw-hgr-8lx
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fzs-p66-r9a
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vjt-jty-nqj
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5rh26f
title: Occurrence Download

description: A dataset containing 1027976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "Modified is 2025-07-19,2025-08-18",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 },
 {
 "not" : {
 "Issue" : [
 "is Zero coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate out of range"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Continent coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Continent invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection suspicious"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection failed"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate uncertainty meters invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match none"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match aggregate"
 ]
 }
 }
 ]
}

 The dataset includes 1027976 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019862-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/vr1-rbb-fkx
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ay6-gjn-p4w
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cld-wbz-f9y
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/51m-qbm-ekt
title: Crocuta crocuta (Erxleben, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h35-b7y-tfb
title: Diploastrea heliopora (Lamarck, 1816)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/259-gyv-4b4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gw9-e7l-dtr
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5qvc3c
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alocasia macrorrhizos",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019883-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/mpw-hj6-pgf
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qxw-k70-bfz
title: Bivalvia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.psesfu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077860-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whfnne
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alectroenas sganzini)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 288 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077859-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4x57k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Cambodia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077862-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48802/owey.kvzljikt
title: Mouse micro-computed tomography scans for diagnosis of Congenital Defects in the heart and visceral organs

description: Objective : We have imaged mouse fetuses carrying different genetic mutations by micro-computed tomography to develop a Machine learning algorythm able to diagnose complex Congenital Heart Defects (CHD).
Dataset description : the dataset comprises different folders, each one corresponding to a different gene mutation : Nodal, Nodal-Ift20, Rpgrip1l. Each folder contains the raw micro-CT files (.dcm) for each sample of a similar mouse line compressed into a .zip file and the associated metadata (.csv)
description: We generated different mouse lines carrying different mutations (Nodal, Nodal;Ift20, Rpgrip1l). E0.5 was defined as noon on the day of vaginal plug detection. Fetuses or neonates were recovered at 17.5 or 18.5 days of development (E17.5, E18.5) or at birth (P0) and euthanised by decapitation. Blood filling was reduced by 5 min incubation in warm HBSS. The heart was then arrested and relaxed in a solution of cardioplegia and then fixed in a solution of PFA at 4%. Both male and female fetuses were collected and used randomly for experiments. The thoracic skin was removed to improve penetration of the contrast agent; the left arm was removed, as a landmark of the fetus left side. Samples were stained in 100% Lugol over 72 hours. Images of the thorax and abdomen were acquired on a Micro-Computed Tomography Quantum FX (Perkin Elmer), within a field of exposure of 10 mm diameter. For each fetus sample, the dataset comprises 512 images of 20x20x20 μm x-y-z resolution.
The aim of the study was to identify malformed hearts automatically on large cohorts. We have developed and trained a 3D convolutional network that uses segmented micro-CT scans (available here as raw data) as inputs.
DOI: 10.15156/bio/sh1406298.10fu
title: SH1406298.10FU

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/sh1406300.10fu
title: SH1406300.10FU

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/sh1406301.10fu
title: SH1406301.10FU

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/sh1406302.10fu
title: SH1406302.10FU

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/sh1406305.10fu
title: SH1406305.10FU

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/sh1406306.10fu
title: SH1406306.10FU

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/sh1406308.10fu
title: SH1406308.10FU

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/sh1406309.10fu
title: SH1406309.10FU

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: 10.34740/kaggle/dsv/13343723
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.18737074
title: CEACAM5/6+ Tumor Cells and IL-1β+ Macrophages Drive Resistance to Anti-PD-1-based Chemo-immunotherapy in Gastric Cancer
DOI: 10.15468/dl.bxwvrs
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor vancouverensis"
 ]
}

 The dataset includes 79 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008882-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18765776
title: Survey and literature review dataset for: Fresh, salty, and still not talking? Assessing and addressing the limnology-oceanography research divide

description: This dataset contains the complete raw data supporting the analyses presented in the paper in processing"Fresh, salty, and still not talking? Assessing and addressing the limnology-oceanography research divide" (Díaz-Torres et al., 2026).

The dataset includes three Excel files:

1. RivertoOcean_Summary_English.xlsx: Anonymized survey responses from 78 English-speaking aquatic researchers (76% of total respondents) from 27 countries. The survey was conducted between October 2024 and January 2025 and collected information on research backgrounds, collaboration patterns, perceived barriers, and priorities for freshwater-marine interdisciplinary research.

2. RivertoOcean_Summary_Spanish.xlsx: Anonymized survey responses from 25 Spanish-speaking aquatic researchers (24% of total respondents), primarily from Latin America. The Spanish version of the survey enabled inclusion of perspectives often underrepresented in international assessments.

3. l_and_o_lit_review_2015-2025.xlsx: Systematic literature review of 320 papers published in Limnology & Oceanography between 2015-2025 (approximately 17% of all regular issue papers in that period). Each entry includes classification by field (limnology, oceanography, coastal, estuary, both), whether the paper mentions the other field, and whether it demonstrates substantive interdisciplinary engagement (knowledge exchange or land-ocean aquatic continuum research).

Together, these datasets provide the empirical foundation for identifying the "collaboration ceiling" between limnology and oceanography communities, revealing that while 49% of papers mention both fields, only 25% demonstrate meaningful interdisciplinary collaboration.

The survey was approved by the University of Leeds Faculty of Environment Research Ethics Committee (reference: 1620). All data are anonymized with no personally identifiable information.

Corresponding authors: Taylor Maavara (maavarat@caryinstitute.org), Osiris Díaz-Torres (osiris.diaz@udlap.mx)