cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9fves9
title: Occurrence Download

description: A dataset containing 956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictinogomphus rapax",
 "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 956 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019071-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpyg4z
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019073-250920141307145/datasets/export for details.
DOI: 10.15468/dl.82dm4q
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia disticha",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019072-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17196558
title: YDS Upload 67

description: Generated by yammbs-dataset-submission: https://github.com/openforcefield/yammbs-dataset-submission
DOI: 10.5281/zenodo.17196559
title: YDS Upload 67

description: Generated by yammbs-dataset-submission: https://github.com/openforcefield/yammbs-dataset-submission
DOI: 10.5281/zenodo.17206565
title: How does agriculture impact global GHG emissions? A global view
DOI: 10.5281/zenodo.17206566
title: How does agriculture impact global GHG emissions? A global view
DOI: 10.15468/dl.xrzt8v
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia disticha",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019074-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2l41ld
title: CCDC 2387173: Experimental Crystal Structure Determination

description: Related Article: Xiaojiang Huang|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.30217549
title: Roles of Riverine Wetlands in Diffusive Greenhouse Gas Emissions: Comparing Before and After Wetland Destruction

description: This dataset contains concentrations of three dissolved greenhouse gases (GHGs) - carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), and nitrous oxide (N<sub>2</sub>O) - collected from the lower reaches of the Zhongtian River in southeast China. The data were obtained through two complementary sampling schemes: monthly sampling and diel (24-hour) sampling.The core of the dataset comes from monthly sampling campaigns conducted over three years: 2018 (representing the period with wetlands) and 2021-2022 (representing the period after wetland clearance in late 2019). Samples were collected at four sites (S0-S3), facilitating a direct comparison of GHG dynamics before and after the wetland removal. For the monthly data, estimated diffusive GHG fluxes are also included. Additionally, the dataset includes diel sampling data from two 24-hour campaigns (July 2018 and August 2021) conducted at a specific reach. These data capture the hourly variation of dissolved GHGs as water passed through the area under contrasting wetland conditions. Gas samples were analyzed using the headspace equilibration technique followed by gas chromatography.
DOI: 10.6084/m9.figshare.30217549.v1
title: Roles of Riverine Wetlands in Diffusive Greenhouse Gas Emissions: Comparing Before and After Wetland Destruction

description: This dataset contains concentrations of three dissolved greenhouse gases (GHGs) - carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), and nitrous oxide (N<sub>2</sub>O) - collected from the lower reaches of the Zhongtian River in southeast China. The data were obtained through two complementary sampling schemes: monthly sampling and diel (24-hour) sampling.The core of the dataset comes from monthly sampling campaigns conducted over three years: 2018 (representing the period with wetlands) and 2021-2022 (representing the period after wetland clearance in late 2019). Samples were collected at four sites (S0-S3), facilitating a direct comparison of GHG dynamics before and after the wetland removal. For the monthly data, estimated diffusive GHG fluxes are also included. Additionally, the dataset includes diel sampling data from two 24-hour campaigns (July 2018 and August 2021) conducted at a specific reach. These data capture the hourly variation of dissolved GHGs as water passed through the area under contrasting wetland conditions. Gas samples were analyzed using the headspace equilibration technique followed by gas chromatography.
DOI: 10.5281/zenodo.17207249
title: LeaFlow: Towards Automatic Optimization of Resource-Related Inefficiencies in CI/CD (Dataset)
DOI: 10.5281/zenodo.17207250
title: LeaFlow: Towards Automatic Optimization of Resource-Related Inefficiencies in CI/CD (Dataset)
DOI: 10.5281/zenodo.17207506
title: some data

description: data
DOI: 10.15468/dl.tjs9t4
title: Occurrence Download

description: A dataset containing 2373 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Convolvulus cneorum)"
 ]
}

 The dataset includes 2373 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019076-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2wkp3
title: Occurrence Download

description: A dataset containing 1248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avena strigosa",
 "Year 1975-2024"
 ]
}

 The dataset includes 1248 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019077-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.463nuc
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamelligomphus formosanus",
 "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 155 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019078-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x68byu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POINT(3.00825 49.41376)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019080-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c44689
title: Occurrence Download

description: A dataset containing 14401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Solenopsis invicta",
 "Year 1000-2025"
 ]
}

 The dataset includes 14401 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019079-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92y7tk
title: Occurrence Download

description: A dataset containing 6709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Axonopus compressus",
 "Year 1975-2024"
 ]
}

 The dataset includes 6709 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019081-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7bun6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia disticha",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019082-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcmvgq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia disticha",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019084-250920141307145/datasets/export for details.
DOI: 10.15468/dl.brpyj4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Breynia disticha",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019083-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data2198
title: Registros sonoros en zonas urbanas aledañas a complejos petroquímicos

description: Esta base de datos incluye registros sonoros de espacios públicos urbanos situados en las adyacencias de los complejos petroquímicos El Tablazo (Venezuela) y Tarragona-sur (España). Se recopilaron audios, espectrogramas (imágenes) y datos técnicos como el nivel de presión sonora (dB) y la frecuencia sonora (Hz) correspondientes a las muestras de audio obtenidas en tres espacios públicos cercanos a dichos complejos.

En los Puertos de Altagracia (Venezuela), se registraron 14 audios y se obtuvieron 35 muestras en la franja costera. En Vila-seca (España), se seleccionaron dos espacios de estudio: el Parque de la Torre d’en Dolça, donde se registraron 24 audios y 46 muestras, y el parque ubicado en La Pineda, con 15 audios y 25 muestras.
description: Audacity, 3.7.3
description: Sonic Visualiser, 4.5.2
description: REW (Room EQ Wizard Room Acoustics), 5.31.1
description: Excel Microsoft, 365
DOI: 10.15468/dl.uezftx
title: Occurrence Download

description: A dataset containing 3197 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Cordia sebestena)"
 ]
}

 The dataset includes 3197 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019086-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whpuzf
title: Occurrence Download

description: A dataset containing 6782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Axonopus fissifolius",
 "Year 1975-2024"
 ]
}

 The dataset includes 6782 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019085-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16967.21923
title: Scopus Listed Journals on Sociology
DOI: 10.13140/rg.2.2.10256.33286
title: Free Scopus Indexed Journals in Agronomy and Crop Science
DOI: 10.15468/dl.6kv8z9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((135 0,142.5 0,142.5 7.5,135 7.5,135 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041633-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.29497.70242
title: SicknessSigns
DOI: 10.15468/dl.bydyqw
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Leontopodium nanum",
 "Year 1945-2025"
 ]
}

 The dataset includes 262 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041630-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z98zcg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((142.5 0,150 0,150 7.5,142.5 7.5,142.5 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041631-251009101135966/datasets/export for details.
DOI: 10.15468/dl.kq3twz
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((15 0,22.5 0,22.5 7.5,15 7.5,15 0))"
 ]
}

 The dataset includes 766 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041635-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0181536.10fu
title: SH0181536.10FU

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/sh0181537.10fu
title: SH0181537.10FU

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/sh0181538.10fu
title: SH0181538.10FU

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/sh0181539.10fu
title: SH0181539.10FU

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/sh0181540.10fu
title: SH0181540.10FU

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/sh0181541.10fu
title: SH0181541.10FU

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/sh0181542.10fu
title: SH0181542.10FU

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.