cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive130479.20241212.9.2
title: Rhodococcus hoagii (Morse 1912) Kämpfer et al. 2014 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130489.20241212.9.2
title: Marmoricola solisilvae Kim et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130492.20241212.9.2
title: Nocardioides rubriscoriae Lee and Lee 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130494.20241212.9.2
title: Nocardioides deserti Tuo et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130496.20241212.9.2
title: Nocardiopsis algeriensis Bouras et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130498.20241212.9.2
title: Allosalinactinospora lopnorensis Guo et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130500.20241212.9.2
title: Reinekea aestuarii Choi and Cho 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130501.20241212.9.2
title: Sinobacterium caligoides Su et al. 2013 emend. Diéguez et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive130504.20241212.9.2
title: Telluria mixta (Bowman et al. 1989) Bowman et al. 1993

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.cbhynp
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporosa caloneura Airy Shaw"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011501-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fbnvh
title: Occurrence Download

description: A dataset containing 49858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus Jacq."
 ]
}

 The dataset includes 49858 records from 767 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041670-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuzchp
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Lactarius zonarius (Bull.) Fr.",
 "TaxonKey is Lactarius insulsus (Fr.) Fr."
 ]
}

 The dataset includes 1371 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117313-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yu1ear
title: Occurrence Download

description: A dataset containing 488228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga L."
 ]
}

 The dataset includes 488228 records from 720 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007371-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h72zm5
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Astragalus lasiosemius Boiss."
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011499-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgk8qm
title: Occurrence Download

description: A dataset containing 1597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamarina Poelt, 1958"
 ]
}

 The dataset includes 1597 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157851-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncsbla
title: Occurrence Download

description: A dataset containing 12415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 12415 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007378-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9jgql
title: Occurrence Download

description: A dataset containing 13942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acrotriche serrulata (Labill.) R.Br.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13942 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040965-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3cash
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acrotriche fasciculiflora (Regel) Benth.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 624 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040964-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p1t3em
title: Occurrence Download

description: A dataset containing 13654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.12695 61.34197,-8.91602 57.73184,-7.84199 56.51296,-6.57197 56.02491,-5.79063 55.25308,-5.10771 54.63621,-4.81416 53.83697,-7.1582 49.9218,-7.45088 48.51893,-1.29854 50.29776,-0.22451 50.2354,2.80244 51.71069,-0.12695 61.34197))",
 "HasCoordinate is true",
 "TaxonKey is Muntiacus reevesi (Ogilby, 1839)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13654 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017411-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxvgik
title: Occurrence Download

description: A dataset listing the 3274792 species recorded in GBIF matching the query:
{ }

 The dataset's 3274792 records were derived from 28708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017413-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d7ykmzjz5t
title: Precipitation and land use impacts on streamflow and sediment dynamics in the heavily urbanized small catchment of Moscow megacity

description: This dataset presents high-frequency hydrological and turbidity measurements collected from the Setun River catchment, a heavily urbanized tributary of the Moskva River within Moscow megacity, Russia. The catchment covers an area of ​​190 km² and is characterized by rapid urbanization, with up to 40% impervious surface coverage. Data were collected by the Faculty of Geography at Lomonosov Moscow State University between November 2019 and the present, as part of a research initiative to investigate the impacts of urbanization, precipitation, and land use on streamflow and sediment dynamics.
The dataset includes continuous water level records from five automatic monitoring stations (S1–S5) strategically located along the Setun River, spanning from the headwaters to the river mouth. Water levels were recorded at 30-minute intervals using HOBO U20L, Solinst Levelogger 5 Junior, and Keller DCX-22-ECO loggers. The operational periods of the stations vary, with some providing uninterrupted records since November 2019 and others covering specific intervals due to maintenance schedules. In addition to water level data, high-resolution turbidity measurements were obtained using two instruments: the Analite NEP-495 turbidity probe, which recorded at 10-minute intervals from November 2019 to March 2020, and the In-Situ Aqua Troll 600 multiparameter sonde, which provided 1-minute interval data from March to October 2021. All data files are provided in CSV format, with each file containing a timestamped column and corresponding measurement values.
The monitoring network was designed to capture the unique hydrological regime of the Setun River, which is typified by frequent, short-term peak flow events (up to 29 per year) and rapid catchment responses to rainstorms. Despite significant changes in land use parameters along the river’s course, the relative contribution of various water sources remains stable; however, a three- to fourfold increase in suspended sediment transport is observed downstream. Short-lived increases in suspended particulate matter concentration and grain size are characterized by pronounced hysteresis effects, reflecting hydraulic sorting of sediments downstream of local pollution sources.
Data collection followed rigorous protocols, with sensors calibrated according to manufacturer guidelines and regular manual validation during maintenance visits. Data processing was conducted using RStudio, employing quality control measures such as the removal of erroneous values ​. Where necessary, high-frequency turbidity data were aggregated to match the temporal resolution of other stations, ensuring consistency across the dataset.
DOI: 10.17632/d7ykmzjz5t.1
title: Precipitation and land use impacts on streamflow and sediment dynamics in the heavily urbanized small catchment of Moscow megacity

description: This dataset presents high-frequency hydrological and turbidity measurements collected from the Setun River catchment, a heavily urbanized tributary of the Moskva River within Moscow megacity, Russia. The catchment covers an area of ​​190 km² and is characterized by rapid urbanization, with up to 40% impervious surface coverage. Data were collected by the Faculty of Geography at Lomonosov Moscow State University between November 2019 and the present, as part of a research initiative to investigate the impacts of urbanization, precipitation, and land use on streamflow and sediment dynamics.
The dataset includes continuous water level records from five automatic monitoring stations (S1–S5) strategically located along the Setun River, spanning from the headwaters to the river mouth. Water levels were recorded at 30-minute intervals using HOBO U20L, Solinst Levelogger 5 Junior, and Keller DCX-22-ECO loggers. The operational periods of the stations vary, with some providing uninterrupted records since November 2019 and others covering specific intervals due to maintenance schedules. In addition to water level data, high-resolution turbidity measurements were obtained using two instruments: the Analite NEP-495 turbidity probe, which recorded at 10-minute intervals from November 2019 to March 2020, and the In-Situ Aqua Troll 600 multiparameter sonde, which provided 1-minute interval data from March to October 2021. All data files are provided in CSV format, with each file containing a timestamped column and corresponding measurement values.
The monitoring network was designed to capture the unique hydrological regime of the Setun River, which is typified by frequent, short-term peak flow events (up to 29 per year) and rapid catchment responses to rainstorms. Despite significant changes in land use parameters along the river’s course, the relative contribution of various water sources remains stable; however, a three- to fourfold increase in suspended sediment transport is observed downstream. Short-lived increases in suspended particulate matter concentration and grain size are characterized by pronounced hysteresis effects, reflecting hydraulic sorting of sediments downstream of local pollution sources.
Data collection followed rigorous protocols, with sensors calibrated according to manufacturer guidelines and regular manual validation during maintenance visits. Data processing was conducted using RStudio, employing quality control measures such as the removal of erroneous values ​. Where necessary, high-frequency turbidity data were aggregated to match the temporal resolution of other stations, ensuring consistency across the dataset.
DOI: 10.17632/s749x837jx
title: Delayed treatment of endometriosis

description: Influencing Factors of Delayed Treatment in the Population with Endometriosis in Guangzhou
DOI: 10.17632/s749x837jx.1
title: Delayed treatment of endometriosis

description: Influencing Factors of Delayed Treatment in the Population with Endometriosis in Guangzhou
DOI: 10.17632/9nz8h2236t
title: SOIL EROSION EVIA

description: RUSLE, K-factor calculations, Northern Evia, Greece
DOI: 10.17632/9nz8h2236t.1
title: SOIL EROSION EVIA

description: RUSLE, K-factor calculations, Northern Evia, Greece
DOI: 10.57745/eiansa
title: liste_ateliers_V1_20250219_AL.tab

description: :unav
DOI: 10.57745/5w6i3d
title: liste_services_V1_20250219_AL.tab

description: :unav
DOI: 10.57745/dj3xj8
title: liste_institutions_V1_20250219_AL.tab

description: :unav
DOI: 10.17632/yz56cmjsc7
title: Mg/Ca-derived SSTs （T. sacculifer）and foraminiferal δ18O records of DSDP Site 296

description: For Mg/Ca analysis, approximately 25–30 shells of G. sacculifer from the 250–355 μm size fraction were selected. The cleaned shells were then dissolved in 0.075-M QD HNO3 and analyzed using inductively coupled plasma-optical emission spectrometer. Mg/Ca values were converted to SST by using the calibration equation SST (°C) = ln [Mg/Ca (mmol/mol)/0.38]/0.09 for G. sacculifer, as proposed by Anand et al. (2003).
DOI: 10.57745/6bdksv
title: extract_services.ipynb

description: jupyter notebook permettant d'extraire la liste des services proposés par
DOI: 10.57745/xl9a7m
title: extract_institutions.ipynb

description: jupyter notebook permettant d'extraire la liste des institutions engagés dans des ateliers de la donnée
DOI: 10.17632/yz56cmjsc7.2
title: Mg/Ca-derived SSTs （T. sacculifer）and foraminiferal δ18O records of DSDP Site 296

description: For Mg/Ca analysis, approximately 25–30 shells of G. sacculifer from the 250–355 μm size fraction were selected. The cleaned shells were then dissolved in 0.075-M QD HNO3 and analyzed using inductively coupled plasma-optical emission spectrometer. Mg/Ca values were converted to SST by using the calibration equation SST (°C) = ln [Mg/Ca (mmol/mol)/0.38]/0.09 for G. sacculifer, as proposed by Anand et al. (2003).
DOI: 10.15156/bio/sh0209348.10fu
title: SH0209348.10FU

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/sh0209349.10fu
title: SH0209349.10FU

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/sh0209350.10fu
title: SH0209350.10FU

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/sh0209351.10fu
title: SH0209351.10FU

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/sh0209352.10fu
title: SH0209352.10FU

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/sh0209353.10fu
title: SH0209353.10FU

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/sh0209354.10fu
title: SH0209354.10FU

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.