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

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tragopan melanocephalus",
 "Year 1980-2025"
 ]
}

 The dataset includes 185 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005905-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf6c9t
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Lagenaria siceraria"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005906-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r5g23
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Piaractus brachypomus"
 ]
}

 The dataset includes 1048 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005907-251025141854904/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.30473135
title: test datasets

description: Citations
DOI: 10.6084/m9.figshare.30473135.v1
title: test datasets

description: Citations
DOI: 10.15468/dl.4dr6nb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Bupleurum scorzonerifolium"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005910-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yszqct
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Androsace lehmanniana"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005912-251025141854904/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.30468500.v1
title: <b>Soil Properties of a Reclaimed Saline-Alkaline Tamarisk Field in the Coastal Plain of China.</b>

description: In April and October 2023, soil samples were collected from the three treatments T-17 (17 years of tamarisk plantation) and T-5 (5 years of tamarisk plantation), and CK (saline-alkaline bare land) at depth intervals of 0-20, 20-40, and 40-60 cm depth using a soil auger. In each treatment, three replications were randomly taken from each soil depth, making a total of 27 samples.
DOI: 10.6084/m9.figshare.30473153
title: Pathways to reduce carbon dioxide emissions from China’s urban building expansion

description: In China, the urban expansion is projected to increase carbon dioxide emissions from buildings. The development of zero-carbon buildings is a strategy for deep decarbonization in the building sector. However, a comprehensive framework to evaluate mitigation potential, implementation pathways, and cost-benefit analyses for future zero-carbon building deployment is lacking. Here, we combine data on life cycle carbon dioxide emissions for 278 cities in China from 2006 to 2022 with a building carbon emission simulation model, socio-economic pathways scenarios, and an optimization model to assess the mitigation potential and associated costs of deploying zero-carbon buildings. The results indicate that under a plausible baseline scenario, total building carbon dioxide emissions are projected to increase to 6.42 gigatonnes by 2030 and reach 8.73 gigatonnes by 2060. An optimal deployment strategy with a 1.5% annual adoption rate of zero-carbon buildings could achieve a 1.21 gigatonne reduction in annual carbon dioxide emissions at implementation costs of $446.8 billion. Our study offers insights into the design and implementation of zero-carbon dioxide building strategies in China, and may inspire similar actions in other countries.
DOI: 10.6084/m9.figshare.30473153.v1
title: Pathways to reduce carbon dioxide emissions from China’s urban building expansion

description: In China, the urban expansion is projected to increase carbon dioxide emissions from buildings. The development of zero-carbon buildings is a strategy for deep decarbonization in the building sector. However, a comprehensive framework to evaluate mitigation potential, implementation pathways, and cost-benefit analyses for future zero-carbon building deployment is lacking. Here, we combine data on life cycle carbon dioxide emissions for 278 cities in China from 2006 to 2022 with a building carbon emission simulation model, socio-economic pathways scenarios, and an optimization model to assess the mitigation potential and associated costs of deploying zero-carbon buildings. The results indicate that under a plausible baseline scenario, total building carbon dioxide emissions are projected to increase to 6.42 gigatonnes by 2030 and reach 8.73 gigatonnes by 2060. An optimal deployment strategy with a 1.5% annual adoption rate of zero-carbon buildings could achieve a 1.21 gigatonne reduction in annual carbon dioxide emissions at implementation costs of $446.8 billion. Our study offers insights into the design and implementation of zero-carbon dioxide building strategies in China, and may inspire similar actions in other countries.
DOI: 10.15468/dl.rb4srm
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Abronia graminea"
 ]
}

 The dataset includes 254 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005913-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17470392
title: Raw replicate values and full ANOVA output tables underlying Ta-bles 2–6 of the main text. The dataset includes all physicochemical (pH, a_w), oxidative (TBARS, PV), antioxidant (TPC, DPPH), microbiological, and color (CIE L*, a*, b*, ΔE*) parameters meas-ured across treatments and storage days (three independent batches × two analytical replicates).
DOI: 10.5281/zenodo.17470393
title: Raw replicate values and full ANOVA output tables underlying Ta-bles 2–6 of the main text. The dataset includes all physicochemical (pH, a_w), oxidative (TBARS, PV), antioxidant (TPC, DPPH), microbiological, and color (CIE L*, a*, b*, ΔE*) parameters meas-ured across treatments and storage days (three independent batches × two analytical replicates).
DOI: 10.15468/dl.zadkvx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Phlomoides agraria"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005914-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zefnae
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Seriphidium grenardii"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005915-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17470351
title: The NCBI and GASR isoforms and putative gene-CREs linkages during sex reversal for M. albus
DOI: 10.5281/zenodo.15486280
title: The NCBI and GASR isoforms and putative gene-CREs linkages during sex reversal for M. albus
DOI: 10.15468/dl.mvewkb
title: Occurrence Download

description: A dataset containing 226938 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx"
 ]
}

 The dataset includes 226938 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005886-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8a8av
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Gentiana algida"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005916-251025141854904/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.30468500
title: <b>Soil Salinity and Alkalinization</b>

description: In April and October 2023, soil samples were collected from the three treatments, R-17 (17 years of rice reclamation) and R6 (6 years of rice reclamation), and CK (saline-sodic bare land), at depth intervals of 0-20, 20-40, and 40-60 cm depth using a soil auger. In each treatment, three replications were randomly taken from each soil depth, making a total of 27 samples. These properties were analyzed for soil saline and alkalinization properties.
DOI: 10.6084/m9.figshare.30468500.v3
title: <b>Soil Salinity and Alkalinization</b>

description: In April and October 2023, soil samples were collected from the three treatments, R-17 (17 years of rice reclamation) and R6 (6 years of rice reclamation), and CK (saline-sodic bare land), at depth intervals of 0-20, 20-40, and 40-60 cm depth using a soil auger. In each treatment, three replications were randomly taken from each soil depth, making a total of 27 samples. These properties were analyzed for soil saline and alkalinization properties.
DOI: 10.6084/m9.figshare.30468500.v2
title: <b>Soil Salinity and Alkalinization</b>

description: In April and October 2023, soil samples were collected from the three treatments, R-17 (17 years of rice reclamation) and R6 (6 years of rice reclamation), and CK (saline-sodic bare land), at depth intervals of 0-20, 20-40, and 40-60 cm depth using a soil auger. In each treatment, three replications were randomly taken from each soil depth, making a total of 27 samples. These properties were analyzed for soil saline and alkalinization properties.
DOI: 10.15468/dl.6uc42e
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Saussurea alpina"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005917-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76ep4u
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ozotoceros bezoarticus"
 ]
}

 The dataset includes 1114 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005918-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncrac8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis kansuensis"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005919-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17470146
title: Evaluation of Leading LLMs for Code Generation

description: This repository is the companion repository of the paper entitled "Holistic Evaluation of Leading LLMs for Code Generation" submitted to LLM4Code'26

It includes the entire dataset, scripts for data collection and analysis, necessary APIs developed for this study, and evaluation results.

Instructions are located in the README.md files.
DOI: 10.15468/dl.fkqjad
title: Occurrence Download

description: A dataset containing 693216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Fossil, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus"
 ]
}

 The dataset includes 693216 records from 1435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005900-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1197288.10fu
title: SH1197288.10FU

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/sh1197291.10fu
title: SH1197291.10FU

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/sh1197293.10fu
title: SH1197293.10FU

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/sh1197294.10fu
title: SH1197294.10FU

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/sh1197300.10fu
title: SH1197300.10FU

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/sh1197301.10fu
title: SH1197301.10FU

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/sh1197303.10fu
title: SH1197303.10FU

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/sh1197305.10fu
title: SH1197305.10FU

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/sh1197309.10fu
title: SH1197309.10FU

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.