cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27683325.v4
title: <b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>

description: This dataset was used in the manuscript of "<b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>". This dataset includes: Depth, Chronology, TOC, TN,TP, δ<sup>13</sup>C ,δ<sup>15</sup>N,SOM composition from Py-GC MS,SOC types from 13C-NMR and Raw data for PCA, RDA and BSEM.
DOI: 10.15468/dl.fzzq3y
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta tinctoria Mart. ex Engelm."
 ]
}

 The dataset includes 493 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017377-241107131044228/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.27683325.v5
title: <b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>

description: This dataset was used in the manuscript of "<b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>". This dataset includes: Depth, Chronology, TOC, TN,TP, δ<sup>13</sup>C ,δ<sup>15</sup>N,SOM composition from Py-GC MS,SOC types from 13C-NMR and Raw data for PCA, RDA and BSEM.
DOI: 10.6084/m9.figshare.25152311
title: <b>The driving factors of dimethylated sulfur compounds in the Pearl River Estuary</b><b>: the</b> <b>nonnegligible role of </b><b><i>Synechococcus</i></b>

description: Estuaries serve significant roles in the global dimethylated sulfur compounds (DSCs) cycle, whereas the driving factors and biological contribution still need to be better understood. To explore the factors controlling the spatial variabilities of dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) and, the role of phytoplankton in DSCs emissions in estuaries, a field investigation was conducted alongside diluted water in the Pearl River Estuary (PRE). The influx of the Pearl River diluted water (PRDW) caused a shift in higher DMSP and DMS values from the nearshore to offshore. Interestingly, the abundance of <i>Synechococcus</i> exhibited significant positive correlations with DMS and DMSP, compared to eukaryotic phytoplankton. These results indicated that <i>Synechococcus</i> was an essential biological factor driving the DSCs production in estuaries. This study provides a new insight to clarify the nonnegligible role of <i>Synechococcus</i> in the biogenic sulfur cycle, in which its contribution must be considered in further estuarine investigation.
DOI: 10.6084/m9.figshare.25152311.v2
title: <b>The driving factors of dimethylated sulfur compounds in the Pearl River Estuary</b><b>: the</b> <b>nonnegligible role of </b><b><i>Synechococcus</i></b>

description: Estuaries serve significant roles in the global dimethylated sulfur compounds (DSCs) cycle, whereas the driving factors and biological contribution still need to be better understood. To explore the factors controlling the spatial variabilities of dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) and, the role of phytoplankton in DSCs emissions in estuaries, a field investigation was conducted alongside diluted water in the Pearl River Estuary (PRE). The influx of the Pearl River diluted water (PRDW) caused a shift in higher DMSP and DMS values from the nearshore to offshore. Interestingly, the abundance of <i>Synechococcus</i> exhibited significant positive correlations with DMS and DMSP, compared to eukaryotic phytoplankton. These results indicated that <i>Synechococcus</i> was an essential biological factor driving the DSCs production in estuaries. This study provides a new insight to clarify the nonnegligible role of <i>Synechococcus</i> in the biogenic sulfur cycle, in which its contribution must be considered in further estuarine investigation.
DOI: 10.6084/m9.figshare.27683325.v6
title: <b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>

description: This dataset was used in the manuscript of "<b>Declining soil organic matter stability over the last 150 years in coral island ecosystems revealed by chemical molecular composition</b>". This dataset includes: Depth, Chronology, TOC, TN,TP, δ<sup>13</sup>C ,δ<sup>15</sup>N,SOM composition from Py-GC MS,SOC types from 13C-NMR and Raw data for PCA, RDA and BSEM.
DOI: 10.15468/dl.df6gkh
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Sanguirana everetti (Boulenger, 1882)",
 "Year 1950-2024"
 ]
}

 The dataset includes 118 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017382-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qjr34
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia rutila corallirostris (Bourcier & Mulsant, 1846)"
 ]
}

 The dataset includes 182 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017384-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8vs6u
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia rutila diluta Van Rossem, 1938"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017385-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ddcb9
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia rutila graysoni Lawrence, 1867"
 ]
}

 The dataset includes 103 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017386-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nd2bkw
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.05134 18.80806,-81.0827 18.80806,-81.0827 30.08774,-102.05134 30.08774,-102.05134 18.80806))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coronatae"
 ]
}

 The dataset's 14 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017379-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14163524
title: Optical imaging and single-cell RNA sequencing  reveal individual heterogeneity in pancreatic cells that supports global function

description: Islets, micro-organs critical for glucose homeostasis, exhibit significant genetic diversity among their cells, which is hypothesized to underpin their functional repertoire. Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified genes such as Cacnb2 and Arpp19, that associated with electro-calcium characteristics, and found Clec4d as a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.
DOI: 10.5281/zenodo.14163465
title: Optical imaging and single-cell RNA sequencing  reveal individual heterogeneity in pancreatic cells that supports global function

description: Islets, micro-organs critical for glucose homeostasis, exhibit significant genetic diversity among their cells, which is hypothesized to underpin their functional repertoire. Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified genes such as Cacnb2 and Arpp19, that associated with electro-calcium characteristics, and found Clec4d as a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.
DOI: 10.5281/zenodo.14163466
title: Optical imaging and single-cell RNA sequencing  reveal individual heterogeneity in pancreatic cells that supports global function

description: Islets, micro-organs critical for glucose homeostasis, exhibit significant genetic diversity among their cells, which is hypothesized to underpin their functional repertoire. Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified genes such as Cacnb2 and Arpp19, that associated with electro-calcium characteristics, and found Clec4d as a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.
DOI: 10.15468/dl.wgpkga
title: Occurrence Download

description: A dataset containing 19875 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Porotheleaceae"
 ]
}

 The dataset includes 19875 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017387-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbzftm
title: Occurrence Download

description: A dataset containing 1081780 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ethiopia"
 ]
}

 The dataset includes 1081780 records from 830 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017363-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnd4jr
title: Occurrence Download

description: A dataset containing 2306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cichorium intybus subsp. intybus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2306 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008668-250402121839773/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.28722125
title: Table_S6.enr_impl_GO.csv

description: <b>Table S6. </b>Gene Set Enrichment Analysis (GSEA) in implanted GL261-GSCs, shown in Figure 3C.
DOI: 10.15468/dl.j4ucmc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030732-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q3h4rv
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cucurbita maxima",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030733-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aq4xw
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Navicula mutica",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030735-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dm5j3c
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030731-250920141307145/datasets/export for details.
DOI: 10.15468/dl.939yby
title: Occurrence Download

description: A dataset containing 3127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asarum canadense",
 "Year 1899-2001"
 ]
}

 The dataset includes 3127 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030734-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrk58s
title: Occurrence Download

description: A dataset containing 2971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paralithodes camtschaticus"
 ]
}

 The dataset includes 2971 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030736-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17227855
title: ViruScopeDB: Curated primer dataset for Ebolavirus

description: This dataset contains curated and computationally generated primers for Ebolavirus genomes. The dataset was developed as part of the Master’s thesis project "ViruScopeDB: a comprehensive multi-omics software and database for highly infectious viruses". It integrates oligonucleotide sequences mined from literature (AROLit primers) and in silico generated ones (iSOP primers), validated against a viral genomic alignment. Also included are primer pair suggestions based on a custom scoring model. Data is provided in CSV format with annotations on primer sequence, target region, conservation, and thermodynamic properties. Sheets follow the general logic of All Data > Validated Data > Scored for Conservation Data > Genomic Region Data > Primer Combination Data > Pivot Tables and Graphs.
DOI: 10.5281/zenodo.17227856
title: ViruScopeDB: Curated primer dataset for Ebolavirus

description: This dataset contains curated and computationally generated primers for Ebolavirus genomes. The dataset was developed as part of the Master’s thesis project "ViruScopeDB: a comprehensive multi-omics software and database for highly infectious viruses". It integrates oligonucleotide sequences mined from literature (AROLit primers) and in silico generated ones (iSOP primers), validated against a viral genomic alignment. Also included are primer pair suggestions based on a custom scoring model. Data is provided in CSV format with annotations on primer sequence, target region, conservation, and thermodynamic properties. Sheets follow the general logic of All Data > Validated Data > Scored for Conservation Data > Genomic Region Data > Primer Combination Data > Pivot Tables and Graphs.
DOI: 10.15468/dl.xjs8ce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoeniparus brunneus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030737-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wvt5js
title: Occurrence Download

description: A dataset containing 216778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is ArtenFinder",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hesperiidae, Lycaenidae, Nymphalidae, Papilionidae, Pieridae, Riodinidae)"
 ]
}

 The dataset includes 216778 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030714-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cg2fen
title: Occurrence Download

description: A dataset containing 4576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations)",
 "TaxonKey is Aves",
 "Geometry POLYGON((-105.82134 35.34467,-104.78225 35.34467,-104.78225 36.51992,-105.82134 36.51992,-105.82134 35.34467))",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 4576 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030739-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcvqgh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cucurbita maxima",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030741-250920141307145/datasets/export for details.
DOI: 10.15468/dl.3v2qbd
title: Occurrence Download

description: A dataset containing 38950773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38950773 records from 4011 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030550-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190394.10fu
title: SH0190394.10FU

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/sh0190395.10fu
title: SH0190395.10FU

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.