cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.92tc33
title: Occurrence Download

description: A dataset containing 14636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda",
 "Year 2014-2014"
 ]
}

 The dataset includes 14636 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002786-250525065834625/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.29134814
title: 细菌原始序列读数

description: 比较各组细菌多样性
DOI: 10.15468/dl.2ykxzt
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradelma Kinghorn, 1926",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 261 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002787-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57724/jci_20241231_tripoli_op
title: Columnar Aerosol Optical Properties by sun-lunar photometry at BAE Juan Carlos I, 2025
DOI: 10.15468/dl.hbx7pm
title: Occurrence Download

description: A dataset containing 2960979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is one of (Turdus migratorius achrusterus (Batchelder, 1900), Turdus migratorius Linnaeus, 1766, Turdus migratorius migratorius, Turdus migratorius propinquus Ridgway, 1877, Turdus migratorius nigrideus Aldrich & Nutt, 1939, Turdus migratorius phillipsi Bangs, 1915, Turdus migratorius confinis S.F.Baird, 1864, Turdus migratorius caurinus (Grinnell, 1909), Turdus migratorius naevius)",
 "Year 2023-2025"
 ]
}

 The dataset includes 2960979 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002785-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14119793
title: Emerging soil heatwaves by the end of the 21st Century

description: This dataset contains the yearly metrics of soil heatwaves (SHWs) that are calculated based on daily soil temperature at different soil depths based on the reanalysis dataset (i.e., ERA5) and multi-model CMIP6 simulations under histroical+SSP2-4.5 and historical+SSP5-8.5 scenarios by the end of the 21st centuray. SHW in a soil layer is defined as the period in which daily soil temperature in same layer exceeds the local and seasonally-varying 90th percentile threshold, following a similar definition for atmosphric heatwaves and marine heatwaves. The detection of SHWs and their metric (such as frequency, intensity, duration, etc.) are conducted by ‘marineHeatwaves.py’ (Hobday et al., 2016). The SHW metrics provided in this dataset include (but not limited to ):

'years_start'          Start year blocks (inclusive)'years_end'            End year of blocks (inclusive)'years_centre'         Decimal year at centre of blocks'count'                Total SHW count in each block'duration'             Average SHW duration in each block [days]'duration_max'         Maximum SHW duration in each block [days]'intensity_max'        Average SHW "maximum (peak) intensity" in each block [deg. C]'intensity_max_max'    Maximum SHW "maximum (peak) intensity" in each block [deg. C]'intensity_mean'       Average SHW "mean intensity" in each block [deg. C]'intensity_var'        Average SHW "intensity variability" in each block [deg. C]'intensity_cumulative' Average SHW "cumulative intensity" in each block [deg. C x days]'rate_onset'           Average SHW onset rate in each block [deg. C / days]'rate_decline'         Average SHW decline rate in each block [deg. C / days]'total_days'           Total number of SHW days in each block [days]'total_icum'           Total cumulative intensity over all SHWs in each block [deg. C x days]'intensity_max_relThresh', 'intensity_mean_relThresh', 'intensity_var_relThresh', and 'intensity_cumulative_relThresh' are as above except relative to the threshold (e.g., 90th percentile) rather than the seasonal climatology'intensity_max_abs', 'intensity_mean_abs', 'intensity_var_abs', and'intensity_cumulative_abs' are as above except as absolute magnitudes rather than relative to the seasonal climatology or threshold

 

The dataset was produced by Dr. Ming Luo (luom38[at]mail.sysu.edu.cn or luo.ming[at]hotmail.com), with help from authors in the paper titled "Permanent soil heatwaves by the end of the 21st Century":

Ming Luo#*, Lijie Lin#, Scott Jones, Zhen Liu, Sijia Wu, Xiaoyu Wang, Gabriel Ngar-Cheung Lau, Tao Pei*, Wei Zhang*, 2025. Permanent soil heatwaves by the end of the 21st Century. PNAS (submitted for publication).
DOI: 10.5281/zenodo.14119794
title: Emerging soil heatwaves by the end of the 21st Century

description: This dataset contains the yearly metrics of soil heatwaves (SHWs) that are calculated based on daily soil temperature at different soil depths based on the reanalysis dataset (i.e., ERA5) and multi-model CMIP6 simulations under histroical+SSP2-4.5 and historical+SSP5-8.5 scenarios by the end of the 21st centuray. SHW in a soil layer is defined as the period in which daily soil temperature in same layer exceeds the local and seasonally-varying 90th percentile threshold, following a similar definition for atmosphric heatwaves and marine heatwaves. The detection of SHWs and their metric (such as frequency, intensity, duration, etc.) are conducted by ‘marineHeatwaves.py’ (Hobday et al., 2016). The SHW metrics provided in this dataset include (but not limited to ):

'years_start'          Start year blocks (inclusive)'years_end'            End year of blocks (inclusive)'years_centre'         Decimal year at centre of blocks'count'                Total SHW count in each block'duration'             Average SHW duration in each block [days]'duration_max'         Maximum SHW duration in each block [days]'intensity_max'        Average SHW "maximum (peak) intensity" in each block [deg. C]'intensity_max_max'    Maximum SHW "maximum (peak) intensity" in each block [deg. C]'intensity_mean'       Average SHW "mean intensity" in each block [deg. C]'intensity_var'        Average SHW "intensity variability" in each block [deg. C]'intensity_cumulative' Average SHW "cumulative intensity" in each block [deg. C x days]'rate_onset'           Average SHW onset rate in each block [deg. C / days]'rate_decline'         Average SHW decline rate in each block [deg. C / days]'total_days'           Total number of SHW days in each block [days]'total_icum'           Total cumulative intensity over all SHWs in each block [deg. C x days]'intensity_max_relThresh', 'intensity_mean_relThresh', 'intensity_var_relThresh', and 'intensity_cumulative_relThresh' are as above except relative to the threshold (e.g., 90th percentile) rather than the seasonal climatology'intensity_max_abs', 'intensity_mean_abs', 'intensity_var_abs', and'intensity_cumulative_abs' are as above except as absolute magnitudes rather than relative to the seasonal climatology or threshold

 

The dataset was produced by Dr. Ming Luo (luom38[at]mail.sysu.edu.cn or luo.ming[at]hotmail.com), with help from authors in the paper titled "Permanent soil heatwaves by the end of the 21st Century":

Ming Luo#*, Lijie Lin#, Scott Jones, Zhen Liu, Sijia Wu, Xiaoyu Wang, Gabriel Ngar-Cheung Lau, Tao Pei*, Wei Zhang*, 2025. Permanent soil heatwaves by the end of the 21st Century. PNAS (submitted for publication).
DOI: 10.6084/m9.figshare.29152664
title: <b>FAFC</b><b>T data and </b><b>questionnaire</b>

description: These data established GCC-centric WM dynamic functional connectivity as a circuit-level substrate for depression in both clinical and sub-clinical populations and revealed that oral OT treatment can modulate these altered connections. Our work therefore suggests a potential therapeutic use of OT for depressive disorders.
DOI: 10.15468/dl.kysbu5
title: Occurrence Download

description: A dataset containing 22535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium carolinianum L."
 ]
}

 The dataset includes 22535 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002783-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axrfby
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002788-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1384039.10fu
title: SH1384039.10FU

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/sh1384040.10fu
title: SH1384040.10FU

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/sh1384041.10fu
title: SH1384041.10FU

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/sh1384042.10fu
title: SH1384042.10FU

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/sh1384043.10fu
title: SH1384043.10FU

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/sh1384044.10fu
title: SH1384044.10FU

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/sh1384045.10fu
title: SH1384045.10FU

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: 10.6084/m9.figshare.30995371.v2
title: Multi-Parametric Comparison of Viral Biological Characteristics and Pathogenicity of Prevalent Avian Reovirus Strains from Genotypes I to V

description: 禽类呼肠孤病毒（ARV）的致病性多变，受基因型多样性驱动，给全球家禽行业带来了重大控制挑战。然而，基因型之间的生物学和致病学区分仍然不充分。我们对14个抗逆转录病毒株（基因型I–V）进行了多参数比较，评估病毒生物学特征和致病指标。基于σC基因对中国分离株和田间株的系统发育分析显示，多个基因型（主要是I型和II型）共存，流行性菌株正在积极进化且与S1133疫苗基因相距较远。结构分析将σC蛋白的构象B细胞表位定位于C端球状头颈部，核心抗原支架高度保守，由关键残基形成，而外周残基则表现出基因型特异性变异。重组分析表明，基因型V（SDAU-G5-DG）很可能通过与基因型VI的重组而出现。基因型I（SDAU-G1-AN4）和基因型IV（SDAU-G4-m4）在细胞培养和鸡胚中表现出增强的复制性和致死性。在体内，所有菌株均引起生长迟缓、跛行、腱鞘炎和免疫器官萎缩，但基因型I和IV最具传染性。观察到明显的组织向性：基因型I和V型诱发心脏和肝脏病变，而I型和III型则引起肠道损伤。在免疫学上，基因型I和IV型在7 dpi时显著上调了MMP13和Wnt14。这表明免疫激活严重，关节损伤风险较高。ARV基因型I–V之间这些独特的生物和致病特征，凸显了针对基因型疫苗策略的必要性。
DOI: 10.15468/dl.vg8eba
title: Occurrence Download

description: A dataset containing 5834181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zonotrichia leucophrys (J.R.Forster, 1772)"
 ]
}

 The dataset includes 5834181 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010172-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsf4xw
title: Occurrence Download

description: A dataset containing 107463817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 {
 "or" : [
 "License is CC-BY-NC 4.0",
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 },
 "MediaType is Image"
 ]
}

 The dataset includes 107463817 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010142-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/vz3fxd
title: A89_3085.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/17f70cd9-d028-17d7-2fc4-62f734611472'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/17f70cd9-d028-17d7-2fc4-62f734611472
DOI: 10.7910/dvn/wctayp
title: A00_13253.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/5c1618ad-c812-5fec-3f19-83f44b7c2a04'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5c1618ad-c812-5fec-3f19-83f44b7c2a04
DOI: 10.7910/dvn/w2itne
title: ITS rDNA Sequences from Cyst Nematode-associated Mycobiome with Swiss Potato Agriculture

description: ITS rDNA Sequences from Cyst Nematode-associated Mycobiome with Swiss Potato Agriculture
DOI: 10.6084/m9.figshare.28914488
title: Qustionnaire

description: Qustionnaire
DOI: 10.6084/m9.figshare.28914488.v1
title: Qustionnaire

description: Qustionnaire
DOI: 10.15468/dl.9acvdx
title: Occurrence Download

description: A dataset containing 8457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centruroides vittatus (Say, 1821)"
 ]
}

 The dataset includes 8457 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010179-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/plfzwp
title: A87_1433.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/2326c062-4462-e012-13e6-193ccbd5cfc5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/2326c062-4462-e012-13e6-193ccbd5cfc5
DOI: 10.7910/dvn/wdk5aj
title: A99_12547.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/44fb2633-444a-85e2-7646-37ecc7a98d85'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/44fb2633-444a-85e2-7646-37ecc7a98d85
DOI: 10.6084/m9.figshare.28914491
title: CareerNet-A_Secure_Job_Board.pdf

description: This project aims to develop a SaaS-based job portal that provides job seekers with a secure, reliable platform for finding genuine employment opportunities. The platform integrates real-time data security measures, a user-friendly interface, and a customized chatbot to ensure job seekers can confidently and efficiently apply for jobs. The SaaS model allows for seamless scalability and accessibility, providing users with a convenient and consistent experience across devices.
DOI: 10.15482/usda.adc/25029695
title: Data from: Host associations of <i>Culicoides </i>biting midges in Northeastern Kansas, USA

description: <i>Culicoides</i> biting midges (Diptera: Ceratopogonidae) are hematophagous flies that transmit several viruses of veterinary concern to livestock. Understanding blood feeding behaviors is integral towards identification of putative vector species and preventing the transmission of these pathogens. PCR-based blood meal analysis was conducted on 440 blood-engorged <i>Culicoides</i> midges collected in northeastern Kansas, with 316 (71.8%) returning non-human vertebrate identifications at the ≥95% identity match level. Broadly, <i>Culicoides sonorensis</i>, <i>Culicoides stellifer</i>, and <i>Culicoides variipennis</i> were found to feed heavily on mammalian hosts, while <i>Culicoides crepuscularis</i> and <i>Culicoides haematopotus</i> fed on avian hosts. The blood meals in all specimens were graded prior to DNA extraction to determine whether blood meal size or digestion status significantly impacted the likelihood of a quality host match. Size had a significant impact on the likelihood of a quality match at grades 3–5, whereas digestion only significantly impacted outcomes at the most extreme grade. These vector–host dynamics have not previously been studied in <i>Culicoides</i> collected in Kansas, which represents a unique tallgrass prairie biome within the United States that is heavily interspersed with livestock operations. Based on these data, the highly abundant species <i>C. crepuscularis</i> and <i>C. haematopotus</i> are unlikely to be major vectors of mammalian viruses.