cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1804019.10fu
title: SH1804019.10FU

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.njvbzs
title: Occurrence Download

description: A dataset containing 82595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hylaea fasciaria"
 ]
}

 The dataset includes 82595 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025867-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6nmnm
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Accipiter trivirgatus",
 "Year 2001-2026"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004416-260226173443078/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.31437130
title: <b>How lake–land breezes reshape the diurnal cycle of ozone in Suzhou</b>

description: Integrating intensive field observations from August 2024 with high-resolution WRF-Chem simulations, we investigate how Taihu LLB circulations reshape the diurnal O<sub>3</sub> profile in Suzhou. We find that a persistent lake-to-land O<sub>3</sub> gradient forms in the morning, where the observed urban O<sub>3</sub> growth rate notably outpaces box-model photochemical estimates, indicating strong transport contributions. Conversely, in the afternoon, LLB-triggered precipitation causes a sharp O<sub>3</sub> reduction through clean-air downdrafts and suppressed photochemistry, collectively driving a unique bimodal diurnal pattern.
DOI: 10.6084/m9.figshare.31437130.v1
title: <b>How lake–land breezes reshape the diurnal cycle of ozone in Suzhou</b>

description: Integrating intensive field observations from August 2024 with high-resolution WRF-Chem simulations, we investigate how Taihu LLB circulations reshape the diurnal O<sub>3</sub> profile in Suzhou. We find that a persistent lake-to-land O<sub>3</sub> gradient forms in the morning, where the observed urban O<sub>3</sub> growth rate notably outpaces box-model photochemical estimates, indicating strong transport contributions. Conversely, in the afternoon, LLB-triggered precipitation causes a sharp O<sub>3</sub> reduction through clean-air downdrafts and suppressed photochemistry, collectively driving a unique bimodal diurnal pattern.
DOI: 10.15468/dl.c3sph7
title: Occurrence Download

description: A dataset containing 88260 records in GBIF matching the query:

 SELECT
 speciesKey,
 species,
 eventDate,
 decimalLatitude,
 decimalLongitude
 FROM occurrence
 WHERE
 occurrenceStatus = 'PRESENT'
 AND hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND classKey = 212
 AND decimalLatitude &gt;= 55.54135332
 AND decimalLatitude &lt;= 55.81084668
 AND decimalLongitude &gt;= 12.32933262
 AND decimalLongitude &lt;= 12.80726738
 AND ((eventDate &gt;= '2017-01-03' AND eventDate &lt;= '2017-01-17') OR (eventDate &gt;= '2018-01-03' AND eventDate &lt;= '2018-01-17') OR (eventDate &gt;= '2019-01-03' AND eventDate &lt;= '2019-01-17') OR (eventDate &gt;= '2020-01-03' AND eventDate &lt;= '2020-01-17') OR (eventDate &gt;= '2021-01-03' AND eventDate &lt;= '2021-01-17') OR (eventDate &gt;= '2022-01-03' AND eventDate &lt;= '2022-01-17') OR (eventDate &gt;= '2023-01-03' AND eventDate &lt;= '2023-01-17') OR (eventDate &gt;= '2024-01-03' AND eventDate &lt;= '2024-01-17') OR (eventDate &gt;= '2025-01-03' AND eventDate &lt;= '2025-01-17') OR (eventDate &gt;= '2026-01-03' AND eventDate &lt;= '2026-01-17'))


 The dataset's 88260 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004407-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17191907
title: Regional Differences in Ionospheric Response over East Asia during the 1-2 October 2002 Geomagnetic Storm
DOI: 10.34804/supra.2021092861
title: Novel molecular drug carrier: encapsulation of oxaliplatin in cucurbit[7]uril and its effects on stability and reactivity of the drug

description: Oxaliplatin forms a stable 1 : 1 inclusion complex with cucurbit[7]uril as indicated by NMR, mass spectrometry, isothermal titration calorimetry and X-ray crystallography. The encapsulation of the drug results in a large enhancement in stability, a moderate decrease in reactivity toward guanosine but a much
DOI: 10.5281/zenodo.18808434
title: cryo-EM maps of S. marcescens Cas10-Csm
DOI: 10.5281/zenodo.18808433
title: cryo-EM maps of S. marcescens Cas10-Csm
DOI: 10.5281/zenodo.18816393
title: nemastylis_floridana_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18816394
title: nemastylis_floridana_decontaminated_FSCR.fasta.gz
DOI: 10.34740/kaggle/dsv/14995453
title: Daily Market Prices of Commodity India (2001-2026)
DOI: 10.5281/zenodo.18816407
title: neochen_jubata_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18816406
title: neochen_jubata_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.she83t
title: Occurrence Download

description: A dataset containing 161681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.19476 42.42545,-71.18523 42.4253,-71.18495 42.4338,-71.19462 42.4338,-71.19476 42.42545))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 161681 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004368-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8assmw
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Accipiter virgatus",
 "Year 2001-2026"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004419-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.27882.99524
title: The significant public health challenges and recommended precautionary measures in the event of a US-Iran conflict spilling over into Iraq.
DOI: 10.25345/c5610w58k
title: MassIVE MSV000101003 - Proteomics of iPSC derived ENLs from Parkinson's Disease patients
title: Gastrointestinal (GI) dysfunction precedes motor symptoms in Parkinson disease (PD), implicating the enteric nervous system (ENS) in early disease pathogenesis. However, how the PD-associated protein alpha synuclein (alpha syn) contributes to ENS dysfunction, and whether this is influenced by inflammation, remains unresolved. Here, we show that tumor necrosis factor alpha (TNF alpha) increases alpha syn accumulation at mitochondria, disrupts the malate-aspartate shuttle (MAS), and induces a metabolic shift toward glutamine oxidation in iPSC derived enteric neural lineages (ENLs) from PD patients carrying alpha syn gene triplications. This metabolic rewiring leads to mitochondrial dysfunction, NAD+ depletion, and oxidative stress. Targeting glutamate metabolism with Chicago Sky Blue 6B restores mitochondrial function and reverses TNF alpha induced metabolic impairment. Combined transcriptomic and histological analyses of human gut tissue show that inflammation-associated MAS suppression and alpha syn upregulation are not confined to PD but are general hallmarks of intestinal inflammation. These findings highlight a conserved metabolic vulnerability in the ENS and establish iPSC ENLs as a powerful platform for modeling early inflammatory disease mechanisms.
DOI: 10.15468/dl.vdc6v2
title: Occurrence Download

description: A dataset containing 117917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus sylvatica"
 ]
}

 The dataset includes 117917 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004411-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h52caw
title: Occurrence Download

description: A dataset containing 169 records in GBIF matching the query:

 SELECT
 speciesKey,
 species,
 eventDate,
 decimalLatitude,
 decimalLongitude
 FROM occurrence
 WHERE
 occurrenceStatus = 'PRESENT'
 AND hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND classKey = 212
 AND decimalLatitude &gt;= 55.65813378
 AND decimalLatitude &lt;= 55.69406622
 AND decimalLongitude &gt;= 12.53643768
 AND decimalLongitude &lt;= 12.60016232
 AND ((eventDate &gt;= '2025-01-07' AND eventDate &lt;= '2025-01-13') OR (eventDate &gt;= '2026-01-07' AND eventDate &lt;= '2026-01-13'))


 The dataset's 169 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004417-260226173443078/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.12672038
title: Revised MD17 dataset (rMD17)

description: THE REVISED MD17 dataset:<br><br>=========================Citation:<br>========<br>Anders S. Christensen and O. Anatole von Lilienfeld (2020) "On the role of gradients for machine learning of molecular energies and forces" https://arxiv.org/abs/2007.09593<br><br>The molecules are taken from the original MD17 dataset by Chmiela et al., and 100,000 structures are taken, and the energies and forces are recalculated at the PBE/def2-SVP level of theory using very tight SCF convergence and very dense DFT integration grid. As such, the dataset is practically free from nummerical noise.<br>One warning: As the structures are taken from a molecular dynamics simulation (i.e. time series data), they are not guaranteed to be independent samples. This is easily evident from the autocorrelation function for the original MD17 dataset<br><br>In short: DO NOT train a model on more than 1000 samples from this dataset. Data already published with 50K samples on the original MD17 dataset should be considered meaningless due to this fact and due to the noise in the original data.The data:<br>=========<br>The ten molecules are save in Numpy .npz format.<br>The keys correspond to:'nuclear_charges' : The nuclear charges for the molecule'coords' : The coordinates for each conformation (in units of ångstrom)'energies' : The total energy of each conformation (in units of kcal/mol)'forces' : The cartesian forces of each conformation (in units of kcal/mol/ångstrom)'old_indices' : The index of each conformation in the original MD17 dataset'old_energies' : The energy of each conformation taken from the original MD17 dataset (in units of kcal/mol)<br>'old_forces' : The forces of each conformation taken from the original MD17 dataset (in units of kcal/mol/ångstrom)<br><br>*Note that for Azobenzene, only 99988 samples are available due to 11 failed DFT calculations, and the original dataset only contained 99999 structures.Data splits:============<br><br>Five training and test splits are saved in CSV format containing the corresponding indices.Update 2026-02-28: Raw npz and csv are uploaded outside of the tar file to enable direct download of the files
DOI: 10.6084/m9.figshare.12672038.v3
title: Revised MD17 dataset (rMD17)

description: THE REVISED MD17 dataset:<br>=========================<br><br><br>Citation:<br>========<br><br> Anders S. Christensen and O. Anatole von Lilienfeld (2020) "On the role of gradients for machine learning of molecular energies and forces" https://arxiv.org/abs/2007.09593<br><br>The molecules are taken from the original MD17 dataset by Chmiela et al., and 100,000 structures are taken, and the energies and forces are recalculated at the PBE/def2-SVP level of theory using very tight SCF convergence and very dense DFT integration grid. As such, the dataset is practically free from nummerical noise. <br><br><br>One warning: As the structures are taken from a molecular dynamics simulation (i.e. time series data), they are not guaranteed to be independent samples. This is easily evident from the autocorrelation function for the original MD17 dataset<br><br>In short: DO NOT train a model on more than 1000 samples from this dataset. Data already published with 50K samples on the original MD17 dataset should be considered meaningless due to this fact and due to the noise in the original data.<br><br><br>The data:<br>=========<br><br>The ten molecules are save in Numpy .npz format.<br><br>The keys correspond to:<br><br>'nuclear_charges' : The nuclear charges for the molecule<br>'coords' : The coordinates for each conformation (in units of ångstrom)<br>'energies' : The total energy of each conformation (in units of kcal/mol)<br>'forces' : The cartesian forces of each conformation (in units of kcal/mol/ångstrom)<br>'old_indices' : The index of each conformation in the original MD17 dataset<br>'old_energies' : The energy of each conformation taken from the original MD17 dataset (in units of kcal/mol)<br>'old_forces' : The forces of each conformation taken from the original MD17 dataset (in units of kcal/mol/ångstrom)<br><br>*Note that for Azobenzene, only 99988 samples are available due to 11 failed DFT calculations, and the original dataset only contained 99999 structures.<br><br><br>Data splits:<br>============<br>Five training and test splits are saved in CSV format containing the corresponding indices.<br><br>
DOI: 10.6084/m9.figshare.12672038.v4
title: Revised MD17 dataset (rMD17)

description: THE REVISED MD17 dataset:<br><br>=========================Citation:<br>========<br>Anders S. Christensen and O. Anatole von Lilienfeld (2020) "On the role of gradients for machine learning of molecular energies and forces" https://arxiv.org/abs/2007.09593<br><br>The molecules are taken from the original MD17 dataset by Chmiela et al., and 100,000 structures are taken, and the energies and forces are recalculated at the PBE/def2-SVP level of theory using very tight SCF convergence and very dense DFT integration grid. As such, the dataset is practically free from nummerical noise.<br>One warning: As the structures are taken from a molecular dynamics simulation (i.e. time series data), they are not guaranteed to be independent samples. This is easily evident from the autocorrelation function for the original MD17 dataset<br><br>In short: DO NOT train a model on more than 1000 samples from this dataset. Data already published with 50K samples on the original MD17 dataset should be considered meaningless due to this fact and due to the noise in the original data.The data:<br>=========<br>The ten molecules are save in Numpy .npz format.<br>The keys correspond to:'nuclear_charges' : The nuclear charges for the molecule'coords' : The coordinates for each conformation (in units of ångstrom)'energies' : The total energy of each conformation (in units of kcal/mol)'forces' : The cartesian forces of each conformation (in units of kcal/mol/ångstrom)'old_indices' : The index of each conformation in the original MD17 dataset'old_energies' : The energy of each conformation taken from the original MD17 dataset (in units of kcal/mol)<br>'old_forces' : The forces of each conformation taken from the original MD17 dataset (in units of kcal/mol/ångstrom)<br><br>*Note that for Azobenzene, only 99988 samples are available due to 11 failed DFT calculations, and the original dataset only contained 99999 structures.Data splits:============<br><br>Five training and test splits are saved in CSV format containing the corresponding indices.Update 2026-02-28: Raw npz and csv are uploaded outside of the tar file to enable direct download of the files
DOI: 10.15468/dl.ncde2k
title: Occurrence Download

description: A dataset containing 10731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cedrela odorata"
 ]
}

 The dataset includes 10731 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004420-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srvd6f
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyroptera tricolor"
 ]
}

 The dataset includes 979 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004421-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18816425
title: neogale_felipei_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18816424
title: neogale_felipei_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18816342
title: СОЦІАЛЬНО-ЕКОНОМІЧНІ ДЕТЕРМІНАНТИ ЧИСЕЛЬНОСТІ СТУДЕНТІВ У ЗАКЛАДАХ ВИЩОЇ ОСВІТИ УКРАЇНИ
DOI: 10.5281/zenodo.18816343
title: СОЦІАЛЬНО-ЕКОНОМІЧНІ ДЕТЕРМІНАНТИ ЧИСЕЛЬНОСТІ СТУДЕНТІВ У ЗАКЛАДАХ ВИЩОЇ ОСВІТИ УКРАЇНИ
DOI: 10.15468/dl.ca4v68
title: Occurrence Download

description: A dataset containing 140990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Spilornis cheela",
 "Year 2001-2026"
 ]
}

 The dataset includes 140990 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004398-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kv29cs
title: Occurrence Download

description: A dataset listing the 133623 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 133623 records were derived from 4671 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004418-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110624004
title: Persepolis Fortification Anepigraphic Tablet 0939.103, PFAnep 0939.103

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0939.103, PFUT 0939-103 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on obverse, and reverse. ❧ [Physical Object Note:] Broken areas on right edge, reverse. Crack on left edge.
DOI: 10.25549/inscriptifact-ouc110623949
title: Persepolis Fortification Anepigraphic Tablet 0939.101, PFAnep 0939.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0939.101, PFUT 0939-101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse, right edge, reverse and upper edge. ❧ [Physical Object Note:] Cracks on bottom edge, reverse, upper edge.
DOI: 10.25549/inscriptifact-ouc110623976
title: Persepolis Fortification Anepigraphic Tablet 0939.101, PFAnep 0939.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0939.101, PFUT 0939-101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse, right edge, reverse and upper edge. ❧ [Physical Object Note:] Cracks on bottom edge, reverse, upper edge.
DOI: 10.25549/inscriptifact-ouc110623933
title: Persepolis Fortification Anepigraphic Tablet 0936.101, PFAnep 0936.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0936.101, PFUT 0936-101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on obverse, reverse and upper edge. ❧ [Physical Object Note:] Broken right edge, reverse. Minor broken areas on bottom edge, left edge.
DOI: 10.25549/inscriptifact-ouc110624656
title: Persepolis Fortification Anepigraphic Tablet 0992.103, PFAnep 0992.103

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0992.103, PFUT 0992-103 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on left edge, obverse. ❧ [Physical Object Note:] Small cracks on bottom edge, left edge, right edge, reverse, upper edge.
DOI: 10.25549/inscriptifact-ouc110623932
title: Persepolis Fortification Anepigraphic Tablet 0936.102, PFAnep 0936.102

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0936.102, PFUT 0936-102 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Broken area on right edge, crack on reverse.