cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jhb9t
title: Occurrence Download

description: A dataset containing 1152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crypteronia paniculata"
 ]
}

 The dataset includes 1152 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010378-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfh23y
title: Occurrence Download

description: A dataset containing 1855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "Country is one of (South Africa, Ethiopia, Kenya, Eswatini)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Afrocarpus falcatus"
 ]
}

 The dataset includes 1855 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010380-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znd2hp
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centrolene notostictum"
 ]
}

 The dataset includes 169 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xchyta
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centrolene peristictum"
 ]
}

 The dataset includes 99 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010382-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqv24b
title: Occurrence Download

description: A dataset containing 140797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Balaenoptera musculus, Balaenoptera physalus, Balaenoptera borealis, Megaptera novaeangliae, Balaenoptera edeni, Balaenoptera acutorostrata, Physeter macrocephalus, Kogia sima, Kogia breviceps, Ziphius cavirostris, Mesoplodon densirostris, Mesoplodon europaeus, Mesoplodon peruvianus, Sotalia fluviatilis, Sotalia guianensis, Steno bredanensis, Peponocephala electra, Feresa attenuata, Pseudorca crassidens, Orcinus orca, Globicephala macrorhynchus, Grampus griseus, Tursiops truncatus, Delphinus delphis, Delphinus capensis, Stenella attenuata, Stenella clymene, Stenella coeruleoalba, Stenella frontalis, Stenella longirostris, Lagenodelphis hosei, Inia geoffrensis, Trichechus manatus, Trichechus inunguis, Lontra longicaudis, Pteronura brasiliensis, Arctocephalus australis, Arctocephalus galapagoensis, Arctocephalus philippii, Otaria flavescens, Zalophus californianus, Zalophus wollebaeki, Monachus tropicalis, Procyon cancrivorus, Panthera onca, Hydrochoerus isthmius, Hydrochoerus hydrochaeris, Tapirus terrestris, Tapirus bairdii)",
 "Year 2024-2025"
 ]
}

 The dataset includes 140797 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010371-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9dxd4
title: Occurrence Download

description: A dataset containing 48 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('UY', 'BR', 'CL', 'AR', 'PY')
 AND GBIF_WITHIN('POLYGON((-180 -90,180 -90,180 -25,-180 -25,-180 -90))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (CAST(occurrence.taxonkey AS INTEGER) = 4608671 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 4608671 OR CAST(occurrence.kingdomkey AS INTEGER) = 4608671 OR CAST(occurrence.phylumkey AS INTEGER) = 4608671 OR CAST(occurrence.classkey AS INTEGER) = 4608671 OR CAST(occurrence.orderkey AS INTEGER) = 4608671 OR CAST(occurrence.familykey AS INTEGER) = 4608671 OR CAST(occurrence.genuskey AS INTEGER) = 4608671 OR CAST(occurrence.specieskey AS INTEGER) = 4608671)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 48 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010369-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/jm83-gd60
title: HST Data for SGAS Extension Clusters

description: These are the clusters for Gassis et al. in prep that do not have previously published HST DOI's.
DOI: 10.15468/dl.pvymut
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myotis nigricans",
 "Year 2021-2023"
 ]
}

 The dataset includes 233 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010384-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nsaht
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermatemys mawii"
 ]
}

 The dataset includes 466 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010385-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5qv3ch40
title: MassIVE MSV000100036 - Checking Fractions from HPLC Separation Work for Metallophores
title: This dataset simply looks at various fractions pulled from an HPLC run to separate metabolites and ideally find fraction(s) that contain our metallophore(s) of interest. Unfortunately, none of these fractions appeared to catch them.
DOI: 10.3886/e240690v1
title: HIFLD Open Voting Districts

description: Voting Districts (VTDs) refer to the generic name for geographic entities such as precincts, wards, and election districts established by state governments for the purpose of conducting elections. States participating in the 2010 Census Redistricting Data Program provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a one-to six-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies a portion of counties (usually bodies of water) for which no VTDs were identified. For 2010 Census, only Kentucky and Rhode Island did not participate in Phase 2 (the Voting District Project) of the 2010 Census Redistricting Data Program and no VTDs exist in these states for 2010 Census data products. In two other states - Montana and Oregon - not all counties have voting districts defined. Participating states often submitted VTDs conforming to the feature network in the MAF/TIGER database rather than the complete legal boundary of the VTD. If requested by the participating state, the Census Bureau identified the VTDs that represent an actual voting district with an "A" in the voting district indicator field. Where a participating state indicated that the VTD has been modified to follow existing features, the VTD is a pseudo-VTD, and the voting district indicator contains "P." Where a participating state did not indicate to the Census Bureau whether the VTD followed the actual boundaries of the VTD or is a pseudo-VTD, the field is blank. VTD delineation was not offered to the Island Areas.Download: https://www2.census.gov/geo/tiger/TIGER2020PL/LAYER/VTD/2020/Metadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2020<br><br>
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025<br>
DOI: 10.15468/dl.x54zzc
title: Occurrence Download

description: A dataset containing 1992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Afzelia africana"
 ]
}

 The dataset includes 1992 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010386-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezwm6k
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erinaceus europaeus)",
 "Country is Ukraine"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010387-251120083545085/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/13885202
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.hhcbqj
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Wittmackia brasiliensis"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010388-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsp6qv
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Strabomantis necopinus"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010389-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe5z79
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centrolene pipilatum"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010390-251120083545085/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/13885215
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25545/ukijuj/eso7eh
title: SupplementaryDataTable_S2a-Clinopyroxene.tab
DOI: 10.25545/ukijuj/5nwhni
title: SupplementaryDataTable_S2b-Olivine.tab
DOI: 10.25545/ukijuj/cswkec
title: SupplementaryDataTable_S3-WholeRockGeochemistry.tab
DOI: 10.25545/ukijuj/4moird
title: SupplementaryDataTable_S2c-Biotite.tab
DOI: 10.25545/ukijuj/hhtmnj
title: SupplementaryDataTable_S1-U-Pb_data.tab
DOI: 10.25545/ukijuj/iuccei
title: SupplementaryDataTable_S2e-Feldspar.tab
DOI: 10.25545/ukijuj/xgyrqn
title: SupplementaryDataTable_S2d-Amphibole.tab
DOI: 10.21227/fvq6-3266
title: "Clinical 3D EIT Voltage Dataset (C1\u2013C7)"

description: "This dataset provides the complete set of raw, normalized boundary voltage measurements for seven retrospective clinical cases (C1\u2013C7) collected during routine pulmonary monitoring using a dual-plane 32-electrode 3D Electrical Impedance Tomography (EIT) system. The data were acquired in a tertiary hospital under Institutional Review Board (IRB) approval and represent realistic clinical conditions."
DOI: 10.5883/ds-bradysia
title: Roy Canty, Hans-Georg Rudzinski, Dominic Wanke, Daniel Whitmore

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.12057393.v1
title: Additional file 18 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 18: Supplementary data 5. The multiple amino acid alignment of phosphoribulokinase sequences using in Figure S5.
DOI: 10.6084/m9.figshare.12057396
title: Additional file 19 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 19: Supplementary data 6. The multiple amino acid alignment of arginase and agmatinase sequences using in Figure S6.
DOI: 10.6084/m9.figshare.12057396.v1
title: Additional file 19 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 19: Supplementary data 6. The multiple amino acid alignment of arginase and agmatinase sequences using in Figure S6.
DOI: 10.6084/m9.figshare.12057399
title: Additional file 1 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 1: Table S1. Information and sequencing details of all samples.
DOI: 10.6084/m9.figshare.12057399.v1
title: Additional file 1 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 1: Table S1. Information and sequencing details of all samples.
DOI: 10.6084/m9.figshare.12057405
title: Additional file 20 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 20: Supplementary data 7. The multiple amino acid alignment of SOD sequences using in Figure S7.
DOI: 10.6084/m9.figshare.12057405.v1
title: Additional file 20 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 20: Supplementary data 7. The multiple amino acid alignment of SOD sequences using in Figure S7.
DOI: 10.6084/m9.figshare.12057411
title: Additional file 2 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 2: Table S2. Detail information of bathyarchaeotal genomic bins.
DOI: 10.6084/m9.figshare.12057411.v1
title: Additional file 2 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 2: Table S2. Detail information of bathyarchaeotal genomic bins.
DOI: 10.6084/m9.figshare.12057429
title: Additional file 5 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 5: Table S5. Taxonomic assignment results of bathyarchaeotal genomic bins using GTDB-Tk package.
DOI: 10.6084/m9.figshare.12057429.v1
title: Additional file 5 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 5: Table S5. Taxonomic assignment results of bathyarchaeotal genomic bins using GTDB-Tk package.
DOI: 10.6084/m9.figshare.12057432
title: Additional file 6 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 6: Table S6. Transcript value (normalized by RPKM method) of the genes in each genomic bin.
DOI: 10.6084/m9.figshare.12057432.v1
title: Additional file 6 of Genomic and transcriptomic evidence of light-sensing, porphyrin biosynthesis, Calvin-Benson-Bassham cycle, and urea production in Bathyarchaeota

description: Additional file 6: Table S6. Transcript value (normalized by RPKM method) of the genes in each genomic bin.
DOI: 10.57967/hf/1840
title: OpenOrca-Ko-En
DOI: 10.6084/m9.figshare.16776055
title: Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

description: This article develops a unified statistical inference framework for high-dimensional binary generalized linear models (GLMs) with general link functions. Both unknown and known design distribution settings are considered. A two-step weighted bias-correction method is proposed for constructing confidence intervals (CIs) and simultaneous hypothesis tests for individual components of the regression vector. Minimax lower bound for the expected length is established and the proposed CIs are shown to be rate-optimal up to a logarithmic factor. The numerical performance of the proposed procedure is demonstrated through simulation studies and an analysis of a single cell RNA-seq dataset, which yields interesting biological insights that integrate well into the current literature on the cellular immune response mechanisms as characterized by single-cell transcriptomics. The theoretical analysis provides important insights on the adaptivity of optimal CIs with respect to the sparsity of the regression vector. New lower bound techniques are introduced and they can be of independent interest to solve other inference problems in high-dimensional binary GLMs.
DOI: 10.6084/m9.figshare.16776055.v2
title: Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

description: This article develops a unified statistical inference framework for high-dimensional binary generalized linear models (GLMs) with general link functions. Both unknown and known design distribution settings are considered. A two-step weighted bias-correction method is proposed for constructing confidence intervals (CIs) and simultaneous hypothesis tests for individual components of the regression vector. Minimax lower bound for the expected length is established and the proposed CIs are shown to be rate-optimal up to a logarithmic factor. The numerical performance of the proposed procedure is demonstrated through simulation studies and an analysis of a single cell RNA-seq dataset, which yields interesting biological insights that integrate well into the current literature on the cellular immune response mechanisms as characterized by single-cell transcriptomics. The theoretical analysis provides important insights on the adaptivity of optimal CIs with respect to the sparsity of the regression vector. New lower bound techniques are introduced and they can be of independent interest to solve other inference problems in high-dimensional binary GLMs.
DOI: 10.6084/m9.figshare.16776055.v1
title: Statistical Inference for High-Dimensional Generalized Linear Models with Binary Outcomes

description: This paper develops a unified statistical inference framework for high-dimensional binary generalized linear models (GLMs) with general link functions. Both unknown and known design distribution settings are considered. A two-step weighted bias-correction method is proposed for constructing confidence intervals and simultaneous hypothesis tests for individual components of the regression vector. Minimax lower bound for the expected length is established and the proposed confidence intervals are shown to be rate-optimal up to a logarithmic factor. The numerical performance of the proposed procedure is demonstrated through simulation studies and an analysis of a single cell RNA-seq data set, which yields interesting biological insights that integrate well into the current literature on the cellular immune response mechanisms as characterized by single-cell transcriptomics. The theoretical analysis provides important insights on the adaptivity of optimal confidence intervals with respect to the sparsity of the regression vector. New lower bound techniques are introduced and they can be of independent interest to solve other inference problems in high-dimensional binary GLMs.
DOI: 10.6084/m9.figshare.16776058
title: Identification, Semiparametric Efficiency, and Quadruply Robust Estimation in Mediation Analysis with Treatment-Induced Confounding

description: Natural mediation effects are often of interest when the goal is to understand a causal mechanism. However, most existing methods and their identification assumptions preclude treatment-induced confounders often present in practice. To address this fundamental limitation, we provide a set of assumptions that identify the natural direct effect in the presence of treatment-induced confounders. Even when some of those assumptions are violated, the estimand still has an interventional direct effect interpretation. We derive the semiparametric efficiency bound for the estimand, which unlike usual expressions, contains conditional densities that are variational dependent. We consider a reparameterization and propose a quadruply robust estimator that remains consistent under four types of possible misspecification and is also locally semiparametric efficient. We use simulation studies to demonstrate the proposed method and study an application to the 2017 Natality data to investigate the effect of prenatal care on preterm birth mediated by preeclampsia with smoking status during pregnancy being a potential treatment-induced confounder.