cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fvgdq5
title: Occurrence Download

description: A dataset containing 391799 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 (Silene gigantea, Anacamptis parvifolia, Lycopodium oellgaardii, Clarkia rubicunda, Staehelina petiolata, Cherleria wettsteinii, Rorippa microtites, Silene grisebachii, Cullen australasicum, Clarkia heterandra, Rorippa nudiuscula, Polystichum lonchitiforme, Euploca rariflora, Medicago arenicola, Restio adpressus, Bonatea boltonii, Maianthemum stellatum, Melampodium divaricatum, Restio rigidus, Proboscidea parviflora, Restio calcicola, Medicago hybrida, Cephalaria alpina, Ozothamnus vagans, Astartea pulchella, Chamaecytisus rochelii, Euploca humilis, Hypolepis sparsisora, Acis autumnalis, Christia australasica, Chamaecytisus proliferus, Bromus firmior, Gnidia nana, Hermannia grandistipula, Cardamine silana, Montiopsis demissa, Trigonella rotundifolia, Pholisma culiacana, Cynanchica rigidula, Cynanchica suffruticosa, Libidibia sclerocarpa, Dichoropetalum lavrentiadis, Sclerolaena blackiana, Filago lojaconoi, Dudleya viscida, Grevillea neodissecta, Astragalus chamissonis, Pseudadenia vizanensis, Argyrotegium fordianum, Juncus tingitanus, Austrostipa platychaeta, Crepis paludosa, Comandra umbellata, Austrostipa stipoides, Crepis pontana, Microdon dubius, Astragalus edmonstonei, Leucadendron vinimontis, Odontites longiflorus, Glischrocaryon lucasii, Astragalus coluteoides, Septulina glauca, Nephrolepis cordifolia, Astragalus brulloi, Odontites hispidulus, Austrostipa dongicola, Vestia foetida, Hymenolepis crithmifolia, Austrostipa setacea, Microdon capitatus, Rhombophyllum dyeri, Crepis canariensis, Astragalus serenoi, Crepis triasii, Pelargonium graveolens, Calyptridium martirense, Ilex mitis, Castilleja exserta, Pelargonium crispum, Dinebra retroflexa, Pelargonium fruticosum, Dipcadi brevifolium, Chlorophytum saundersiae, Disa bifida, Commiphora kataf, Lomelosia divaricata, Lomelosia kurdica, Pelargonium violiflorum, Pelargonium elongatum, Rhodanthe pyrethrum, Guazuma ulmifolia, Grammosolen odgersii, Lomelosia sulphurea, Myrosmodes nervosa, Pelargonium inquinans, Alopecurus vaginatus, Corynotheca divaricata, Chamelaucium repens, Pelargonium reniforme)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 391799 records from 1603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013264-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48717/0fv8-1m28
title: EVN Observation ES093A
DOI: 10.48717/mw27-8t73
title: EVN Observation N20C3
DOI: 10.48717/0zrw-b579
title: EVN Experiment N20C3
DOI: 10.48717/xxnm-a273
title: EVN Observation N20M3
DOI: 10.48717/dj30-xf95
title: EVN Experiment N20M3
DOI: 10.48717/gj4z-jh75
title: EVN Experiment ES093
DOI: 10.48717/q6fq-7x42
title: EVN Observation ES093B
DOI: 10.48717/hwsm-en85
title: EVN Observation EC076
DOI: 10.48717/1ysp-fm21
title: EVN Experiment EC076
DOI: 10.48717/4dqh-1x36
title: EVN Observation ED048B
DOI: 10.48717/fbjb-m267
title: EVN Experiment ED048
DOI: 10.48717/58by-vx23
title: EVN Observation EC071G
DOI: 10.48717/qcg3-zm78
title: EVN Observation EN007A
DOI: 10.48717/mpfk-y785
title: EVN Experiment EY035
DOI: 10.48717/zkmj-m357
title: EVN Observation EY035A
DOI: 10.48717/kj6w-0q69
title: EVN Observation EM143B
DOI: 10.48717/pfwx-3075
title: EVN Experiment EM143
DOI: 10.15468/dl.b6tsvs
title: Occurrence Download

description: A dataset containing 211883652 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 211883652 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017789-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emtgb0
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006064-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4ur5m
title: Occurrence Download

description: A dataset containing 504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus brachyurus Temminck, 1844",
 "Year 1950-2023"
 ]
}

 The dataset includes 504 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011722-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fue7y
title: Occurrence Download

description: A dataset containing 561852542 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 561852542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053674-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tctki9
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001494-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vl3nke
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001600-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psw28t
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lisianthius jefensis A.Robyns & T.S.Elias"
 ]
}

 The dataset includes 159 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011724-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d32ts
title: Occurrence Download

description: A dataset containing 250361898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 250361898 records from 6324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068252-200613084148143/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.25180460
title: ASV tables, metadata and codes for the article titled "The Prokaryotic and Eukaryotic Microbiome of Pacific Oyster Spat is Shaped by Ocean Warming but not Acidification"

description: This dataset accompanies the research article titled "The Prokaryotic and Eukaryotic Microbiome of Pacific Oyster Spat is Shaped by Ocean Warming but not Acidification," authored by Zhong et al. (2024) (https://doi.org/10.1128/aem.00052-24). The dataset consists of ASV (Amplicon Sequence Variant) tables, metadata, and the analytical codes used in the study. These materials provide an in-depth look at the impact of ocean warming and acidification on the microbiome of Pacific Oyster Spat, offering insights into oyster-associated microbial community dynamics under changing environmental conditions. The dataset is available for access through the following link: https://doi.org/10.6084/m9.figshare.25180460.
DOI: 10.6084/m9.figshare.25180460.v1
title: ASV tables, metadata and codes for the article titled "The Prokaryotic and Eukaryotic Microbiome of Pacific Oyster Spat is Shaped by Ocean Warming but not Acidification"

description: This dataset accompanies the research article titled "The Prokaryotic and Eukaryotic Microbiome of Pacific Oyster Spat is Shaped by Ocean Warming but not Acidification," authored by Zhong et al. (2024) (https://doi.org/10.1128/aem.00052-24). The dataset consists of ASV (Amplicon Sequence Variant) tables, metadata, and the analytical codes used in the study. These materials provide an in-depth look at the impact of ocean warming and acidification on the microbiome of Pacific Oyster Spat, offering insights into oyster-associated microbial community dynamics under changing environmental conditions. The dataset is available for access through the following link: https://doi.org/10.6084/m9.figshare.25180460.
DOI: 10.15468/dl.64h8et
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADH4823"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004220-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad8d9x
title: Occurrence Download

description: A dataset containing 51918 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jabiru mycteria"
 ]
}

 The dataset includes 51918 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004171-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku3bhc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis elgonensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004221-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95srnw
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monocorophium insidiosum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004222-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12451379
title: turkce-kitap-dataset
DOI: 10.15468/dl.qqsk8s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADE4127"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004223-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvafe9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis erikii"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004225-250711103210423/datasets/export for details.
DOI: 10.15468/dl.ebn6ez
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metacarcinus novaezelandiae",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004226-250711103210423/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.29553059
title: <b>Elsafty_Reports_of_Myeloid_Neoplasms_2024</b>

description: the online web-based software developed for the automated generation of CBC and PBS review narrative interpretation, as well as for complete personalized Hematopathology CPC (<b><i>https://cbctst.com</i></b>), demonstrates the utility of this dataset in supporting the validation of such clinical-fit tools, which are requested to assist senior Hematopathologists by saving time and effort, addressing workforce shortages and stress, and minimizing liability and clerical errors.The aim of the collected dataset (<b>Elsafty_Reports_of_Myeloid_Neoplasms_2024</b>) is to provide specialized, world-class, and comprehensive templates for myeloid neoplasms that serve purposes in Hematopathology practice, teaching/training/examination, and automation, including verification and validation of relevant automated systems. This validated, up-to-date, 100% accurate, machine-readable, and novel/unprecedented dataset has been meticulously reviewed word-by-word by both Hematopathologists and attending physicians from various specialties who detect or diagnose such cases at multiple international medical centres. Such meticulous review, referencing the WHO 5th edition, the international consensus classification of myeloid neoplasms and acute leukemias, along with other relevant esteemed publications, justifies the complexity and diversity of the dataset while maintaining benchmark scientific quality.
DOI: 10.6084/m9.figshare.29553059.v1
title: <b>Elsafty_Reports_of_Myeloid_Neoplasms_2024</b>

description: the online web-based software developed for the automated generation of CBC and PBS review narrative interpretation, as well as for complete personalized Hematopathology CPC (<b><i>https://cbctst.com</i></b>), demonstrates the utility of this dataset in supporting the validation of such clinical-fit tools, which are requested to assist senior Hematopathologists by saving time and effort, addressing workforce shortages and stress, and minimizing liability and clerical errors.The aim of the collected dataset (<b>Elsafty_Reports_of_Myeloid_Neoplasms_2024</b>) is to provide specialized, world-class, and comprehensive templates for myeloid neoplasms that serve purposes in Hematopathology practice, teaching/training/examination, and automation, including verification and validation of relevant automated systems. This validated, up-to-date, 100% accurate, machine-readable, and novel/unprecedented dataset has been meticulously reviewed word-by-word by both Hematopathologists and attending physicians from various specialties who detect or diagnose such cases at multiple international medical centres. Such meticulous review, referencing the WHO 5th edition, the international consensus classification of myeloid neoplasms and acute leukemias, along with other relevant esteemed publications, justifies the complexity and diversity of the dataset while maintaining benchmark scientific quality.
DOI: 10.15468/dl.62jhdt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudocetopsis orientale"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004227-250711103210423/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.28426094.v1
title: NetConUS_Data_Final.csv

description: <i>Network connectivity of streams is crucial because it directly affects the movement of water, nutrients, sediments, and aquatic species throughout a watershed. Stream classification is essential for understanding ecosystem diversity and guiding conservation efforts, especially given the increasing impacts of land and riverscape modification in the United States. Accurately classifying streams based on the connectivity of the stream networks is critical for effective management and biodiversity protection. To address this problem, we developed a robust framework and dataset that incorporates a Network Connectivity-based stream classification system for the conterminous United States (NetConUS), utilizing the National Hydrography Dataset Plus version 2 (NHD). The developed dataset was validated to evaluate statistical associations between the NetConUS stream classes and the physical stream classes based on size, gradient, bifurcation, and temperature, hydrology and valley confinement. We have also validated the developed stream classification using Bayesian Neural Networks (BNNs) to account for uncertainty, and a co-operative game theory-based approach was applied to interpret the influence of network metrics and physical attributes on the classification. The dataset captures the structural roles of stream segments within their watersheds, facilitating a deeper understanding of stream dynamics for improved estimation of population-, community-, and ecosystem-level processes throughout the conterminous US riverine networks.</i>
DOI: 10.26188/31302163
title: Quasar test statistics for 9 cell types from Fachrul et al, 2026, "Ancestral and environmental diversity shape the immune landscape in Indonesia"

description: Island Southeast Asia (ISEA) remains consistently underrepresented in human genomic resources despite its exceptional ancestral and lifestyle diversity. The interplay between the region's complex population history and its environmental variation provide a window into how ancestry and environment jointly shape the human immune system. Here we report the generation of single-cell PBMC profiles from 199 Indonesians sampled across four communities in the islands of Bali and New Guinea. These groups capture diversity in regional genetic ancestries (East Asian-like and Papuan-like) and lifestyle contrasts (urban versus rural communities in Bali; highland versus lowland communities in New Guinea). We identify over 4,000 expression quantitative trait loci (eQTLs) across nine immune cell types, including eQTLs driven by introgression from both Neanderthals and Denisovans at genes such as <i>IL7R</i>, <i>HLA-E</i>, or <i>STAT2</i>. We also find evidence of local ancestry driving gene-by-environment interactions at pathogen receptors such as <i>MARCO</i>, although the majority of gene-by-environment interactions are not driven by differences in genetic structure between populations. Beyond direct genetic effects, we construct gene co-expression networks that consistently identify environmental signatures, as well as T-cell receptor repertoires that distinguish specific communities, with excess representation of interferon-stimulated genes in rural, but not urban samples. This work establishes a framework for population-aware functional genomics in understudied regions and highlights how ancestral and environmental diversity jointly shape human immunity in this globally important yet underrepresented region.
DOI: 10.26188/31302163.v1
title: Quasar test statistics for 9 cell types from Fachrul et al, 2026, "Ancestral and environmental diversity shape the immune landscape in Indonesia"

description: Island Southeast Asia (ISEA) remains consistently underrepresented in human genomic resources despite its exceptional ancestral and lifestyle diversity. The interplay between the region's complex population history and its environmental variation provide a window into how ancestry and environment jointly shape the human immune system. Here we report the generation of single-cell PBMC profiles from 199 Indonesians sampled across four communities in the islands of Bali and New Guinea. These groups capture diversity in regional genetic ancestries (East Asian-like and Papuan-like) and lifestyle contrasts (urban versus rural communities in Bali; highland versus lowland communities in New Guinea). We identify over 4,000 expression quantitative trait loci (eQTLs) across nine immune cell types, including eQTLs driven by introgression from both Neanderthals and Denisovans at genes such as <i>IL7R</i>, <i>HLA-E</i>, or <i>STAT2</i>. We also find evidence of local ancestry driving gene-by-environment interactions at pathogen receptors such as <i>MARCO</i>, although the majority of gene-by-environment interactions are not driven by differences in genetic structure between populations. Beyond direct genetic effects, we construct gene co-expression networks that consistently identify environmental signatures, as well as T-cell receptor repertoires that distinguish specific communities, with excess representation of interferon-stimulated genes in rural, but not urban samples. This work establishes a framework for population-aware functional genomics in understudied regions and highlights how ancestral and environmental diversity jointly shape human immunity in this globally important yet underrepresented region.
DOI: 10.6084/m9.figshare.28426094
title: NetConUS_Data_Final.csv

description: <i>Network connectivity of streams is crucial because it directly affects the movement of water, nutrients, sediments, and aquatic species throughout a watershed. Stream classification is essential for understanding ecosystem diversity and guiding conservation efforts, especially given the increasing impacts of land and riverscape modification in the United States. Accurately classifying streams based on the connectivity of the stream networks is critical for effective management and biodiversity protection. To address this problem, we developed a robust framework and dataset that incorporates a Network Connectivity-based stream classification system for the conterminous United States (NetConUS), utilizing the National Hydrography Dataset Plus version 2 (NHD). The developed dataset was validated to evaluate statistical associations between the NetConUS stream classes and the physical stream classes based on size, gradient, bifurcation, and temperature, hydrology and valley confinement. We have also validated the developed stream classification using Bayesian Neural Networks (BNNs) to account for uncertainty, and a co-operative game theory-based approach was applied to interpret the influence of network metrics and physical attributes on the classification. The dataset captures the structural roles of stream segments within their watersheds, facilitating a deeper understanding of stream dynamics for improved estimation of population-, community-, and ecosystem-level processes throughout the conterminous US riverine networks.</i>