cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31194319
title: Urban agglomerations environmental heterogeneity and heatwave risks: spatiotemporal insights from remote sensing and public sentiment analysis

description: Urban agglomerations are global hotspots for escalating heatwave risks, where the complex interplay between environmental drivers and public emotional responses remains underexplored due to limitations in traditional research methods and data on heatwave impacts to public health. Pioneering a novel framework, this study integrates multi-source remote sensing data (2014–2023), 3.2 million social media posts, and advanced causal models across five major Chinese urban agglomerations. Our analysis reveals that environmental factors are the dominant drivers of heatwaves, with surface properties—notably albedo, vegetation cover (FVC), and thermal indices (NDTI)—exerting a far stronger influence than hydrological or topographical features. Concurrently, we uncover distinct, nonlinear emotional responses to escalating heat. While heat perception rises directly with intensity, health concerns exhibit a critical threshold effect, surging only during moderate-to-high events and preceded by behavioral shifts. Crucially, each urban agglomeration displays a unique socio-ecological response signature, highlighting significant regional heterogeneity. These findings provide critical evidence for developing tailored, place-based policies to mitigate thermal risks and enhance urban resilience. Unveils asymmetric causalities between urban environment and heatwaves using causal inference.Integrates 3.2 million social media posts to map public sentiment response to heatwaves.Quantifies multilevel effects with Bayesian GLMMs across five Chinese urban agglomerations.Reveals nonlinear, region-specific emotional responses to heatwave indicators.Provides actionable insights for climate adaptation in rapidly urbanizing regions. Unveils asymmetric causalities between urban environment and heatwaves using causal inference. Integrates 3.2 million social media posts to map public sentiment response to heatwaves. Quantifies multilevel effects with Bayesian GLMMs across five Chinese urban agglomerations. Reveals nonlinear, region-specific emotional responses to heatwave indicators. Provides actionable insights for climate adaptation in rapidly urbanizing regions.
DOI: 10.6084/m9.figshare.31194319.v1
title: Urban agglomerations environmental heterogeneity and heatwave risks: spatiotemporal insights from remote sensing and public sentiment analysis

description: Urban agglomerations are global hotspots for escalating heatwave risks, where the complex interplay between environmental drivers and public emotional responses remains underexplored due to limitations in traditional research methods and data on heatwave impacts to public health. Pioneering a novel framework, this study integrates multi-source remote sensing data (2014–2023), 3.2 million social media posts, and advanced causal models across five major Chinese urban agglomerations. Our analysis reveals that environmental factors are the dominant drivers of heatwaves, with surface properties—notably albedo, vegetation cover (FVC), and thermal indices (NDTI)—exerting a far stronger influence than hydrological or topographical features. Concurrently, we uncover distinct, nonlinear emotional responses to escalating heat. While heat perception rises directly with intensity, health concerns exhibit a critical threshold effect, surging only during moderate-to-high events and preceded by behavioral shifts. Crucially, each urban agglomeration displays a unique socio-ecological response signature, highlighting significant regional heterogeneity. These findings provide critical evidence for developing tailored, place-based policies to mitigate thermal risks and enhance urban resilience. Unveils asymmetric causalities between urban environment and heatwaves using causal inference.Integrates 3.2 million social media posts to map public sentiment response to heatwaves.Quantifies multilevel effects with Bayesian GLMMs across five Chinese urban agglomerations.Reveals nonlinear, region-specific emotional responses to heatwave indicators.Provides actionable insights for climate adaptation in rapidly urbanizing regions. Unveils asymmetric causalities between urban environment and heatwaves using causal inference. Integrates 3.2 million social media posts to map public sentiment response to heatwaves. Quantifies multilevel effects with Bayesian GLMMs across five Chinese urban agglomerations. Reveals nonlinear, region-specific emotional responses to heatwave indicators. Provides actionable insights for climate adaptation in rapidly urbanizing regions.
DOI: 10.15468/dl.ktvcd3
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Deirochelys reticularia miaria"
 ]
}

 The dataset includes 175 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000555-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as6sms
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.51205 9.67056,-58.34682 9.67056,-58.34682 20.3376,-71.51205 20.3376,-71.51205 9.67056))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stenella longirostris"
 ]
}

 The dataset includes 84 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000556-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/tdocff
title: Denver Botanic Gardens Collection of Arthropods

description: The Denver Botanic Gardens Collection of Arthropods (DBGA) is small reference and research collection focused on arthropods from urban and suburban habitats. Specimen and observation data is primarily collected from the Colorado Front Range. The collection also contains specimens from other areas in the Southern Rocky Mountain Region, particularly sites with ongoing research projects organized by the Denver Botanic Gardens. Identifications are often only to family level.
DOI: 10.15468/arjvpw
title: Jenynsia luxata, a new species from Northwestern Argentina, with additional observations of J. maculata Regan and phylogeny of the genus (Cyprinodontiformes: Anablepidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Aguilera, Gastón, Mirande, Juan Marcos, Calviño, Pablo A., Lobo, Luis Fernando (2013): Jenynsia luxata, a new species from Northwestern Argentina, with additional observations of J. maculata Regan and phylogeny of the genus (Cyprinodontiformes: Anablepidae). Neotropical Ichthyology 11 (3): 565-572, DOI: 10.1590/S1679-62252013000300009, URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252013000300565&lng=en&tlng=enJenynsia luxata, a new species from northwestern Argentina, is described. This species is diagnosable from all other Jenynsia by the medial processes of left and right pelvic bones relatively reduced and separated from each other. The new species resembles J. multidentata, but it is further distinguished from this species by the absence of a swelling between the urogenital opening and the anterior base of the anal fin in females and details of coloration. Phylogenetic analyses, both under implied and equal weighting, recover the subgenera Plesiojenynsia and Jenynsia as monophyletic units. New information on previously missing characters of Jenynsia maculata is added. These data and phylogenetic characters coded for the new species herein described contribute to a better resolution of the phylogenetic relationships within the subgenus Jenynsia, which is herein supported by additional synapomorphies relative to previous phylogenies.Jenynsia luxata, una nueva especie del noroeste de Argentina, es descripta. Esta especie es diagnosticable por presentar los procesos mediales de los huesos pélvicos izquierdo y derecho relativamente reducidos y separados. La nueva especie se parece a J. multidentata, pero se distingue de ésta por la ausencia de un abultamiento entre la abertura urogenital y la base de la aleta anal en hembras y por detalles en el patrón de coloración. Los análisis filogenéticos, tanto bajo pesos implicados como iguales, recuperan los subgéneros Plesiojenynsia y Jenynsia como unidades monofiléticas. Se aporta nueva información sobre caracteres de J. maculata previamente codificados como entradas faltantes. Esos datos y los caracteres filogenéticos codificados para la nueva especie aquí descripta contribuyen a una mayor resolución de las relaciones filogenéticas dentro del subgénero Jenynsia, que está aquí soportado por sinapomorfías adicionales en relación a las filogenias previas.
DOI: 10.15468/kuqgug
title: Denver Botanic Gardens, Sam Mitchel Herbarium of Fungi

description: Specialty: Fleshy fungi, ascomycetes, gasteromycetes, and Cortinariaceae of the Rocky Mountain region, mostly Colorado. Housed at Denver Botanic Gardens. Date Founded: 1963. Higher resolution images are available upon request.
DOI: 10.15468/axrelr
title: Kathryn Kalmbach Herbarium

description: The Kathryn Kalmbach Herbarium (KHD), a collection of over 75,000 vascular plant specimens, is a regional herbarium with a research focus on the species diversity of Colorado and the Southern Rocky Mountain region. The collection also contains species that are in cultivation at Denver Botanic Gardens. Most of the specimens within the collection have been digitized, and their photographs may be found online. Higher resolution images are also available upon request. Specimens collected in 2017 and later are likely to have an associated tissue sample available on GGBN.
DOI: 10.6084/m9.figshare.30946772
title: DFT and machine-learning datasets for main figures in “Hydrogen in Brownmillerite Perovskites: First-Principles Insights into Energetics and Induced Electronic–Magnetic Changes”

description: This dataset contains the numerical data used to generate the <b>main figures</b> of the article<br><b>“Hydrogen in Brownmillerite Perovskites: First-Principles Insights into Energetics and Induced Electronic–Magnetic Changes.”</b>The data were obtained from <b>first-principles density functional theory (DFT)</b> calculations (SCAN + U and PBE + U) and <b>machine-learning interatomic potential (uMLIP)</b> predictions (UMA and CHGNet). We explored hydrogen absorption energetics, electron localization, magnetic exchange interactions, canting-angle energetics, and benchmarking of machine-learning models against DFT reference calculations in a series of brownmillerite oxides.Specifically, the dataset includes:Hydrogen absorption energies at all symmetry-distinct intercalation sites for multiple A₂B₂O₅ brownmillerites (Figures 2, 3, 7).Polaron localization energies as a function of proton–transition-metal separation (Figure 2).Total energies of multiple magnetic configurations used to fit Heisenberg Hamiltonians and extract magnetic exchange couplings (Figure 5).Exchange coupling constants before and after hydrogen intercalation (Figure 5).Canting-angle–dependent total energies for pristine and hydrogenated compounds, used to analyze hydrogen-induced Néel-vector canting (Figure 6).Parity datasets comparing hydrogen absorption energies predicted by UMA and CHGNet against DFT/SCAN reference values across 95 intercalation sites in 14 brownmillerite compounds (Figure 8).All files are provided in <b>CSV format</b>, are fully site-resolved, and correspond directly to the plotted quantities in the main text. The dataset enables full reproducibility of the figures, independent reanalysis, and reuse for benchmarking electronic-structure methods and machine-learning models applied to hydrogen intercalation in correlated oxides.<br><br>Representative VASP input files (INCAR) and structural files (POSCAR) for hydrogenated Sr₂Fe₂O₅ calculations are also provided to illustrate typical computational settings and structural models used in this work.<br>
DOI: 10.6084/m9.figshare.30946772.v1
title: DFT and machine-learning datasets for main figures in “Hydrogen in Brownmillerite Perovskites: First-Principles Insights into Energetics and Induced Electronic–Magnetic Changes”

description: This dataset contains the numerical data used to generate the <b>main figures</b> of the article<br><b>“Hydrogen in Brownmillerite Perovskites: First-Principles Insights into Energetics and Induced Electronic–Magnetic Changes.”</b>The data were obtained from <b>first-principles density functional theory (DFT)</b> calculations (SCAN + U and PBE + U) and <b>machine-learning interatomic potential (uMLIP)</b> predictions (UMA and CHGNet). We explored hydrogen absorption energetics, electron localization, magnetic exchange interactions, canting-angle energetics, and benchmarking of machine-learning models against DFT reference calculations in a series of brownmillerite oxides.Specifically, the dataset includes:Hydrogen absorption energies at all symmetry-distinct intercalation sites for multiple A₂B₂O₅ brownmillerites (Figures 2, 3, 7).Polaron localization energies as a function of proton–transition-metal separation (Figure 2).Total energies of multiple magnetic configurations used to fit Heisenberg Hamiltonians and extract magnetic exchange couplings (Figure 5).Exchange coupling constants before and after hydrogen intercalation (Figure 5).Canting-angle–dependent total energies for pristine and hydrogenated compounds, used to analyze hydrogen-induced Néel-vector canting (Figure 6).Parity datasets comparing hydrogen absorption energies predicted by UMA and CHGNet against DFT/SCAN reference values across 95 intercalation sites in 14 brownmillerite compounds (Figure 8).All files are provided in <b>CSV format</b>, are fully site-resolved, and correspond directly to the plotted quantities in the main text. The dataset enables full reproducibility of the figures, independent reanalysis, and reuse for benchmarking electronic-structure methods and machine-learning models applied to hydrogen intercalation in correlated oxides.<br><br>Representative VASP input files (INCAR) and structural files (POSCAR) for hydrogenated Sr₂Fe₂O₅ calculations are also provided to illustrate typical computational settings and structural models used in this work.<br>
DOI: 10.15468/dl.sngpb5
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.50594 9.66249,-58.42295 9.66249,-58.42295 21.02005,-71.50594 21.02005,-71.50594 9.66249))",
 "TaxonKey is Stenella frontalis"
 ]
}

 The dataset includes 195 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000557-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m325zg
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-63.99623 11.37037,-57.30793 11.37037,-57.30793 18.6185,-63.99623 18.6185,-63.99623 11.37037))",
 "TaxonKey is Stenella clymene"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000560-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18420040
title: Fake news
DOI: 10.5281/zenodo.18420041
title: Fake news
DOI: 10.15468/dl.kphqj3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alshehbazia friesii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000562-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25976/3ogv-7n39
title: GNWT ECC Great Slave Lake Water Quality Monitoring Program

description: The Great Slave Water Quality Monitoring Program is one component of the proposed Great Slave Lake Research and Monitoring Program which is in development with water partners to: coordinate long-term collection of baseline water quality across the lake; assess trends in water quality and quantity; carry out vulnerability assessments; better understand natural variability and changes being observed in the watershed; and to create long term capacity building research and monitoring partnerships.
description: Water samples are collected 2-5 samples per year depending on the location of the sample site. Surface water grab samples are collected at ~10 cm – 50 cm beneath the surface into clean sample bottles. Discrete depth samples are collected at some sites, using a Kemmerer water sampler attached to a pre-measured line using a weighted messenger. Field measurements are also taken at site using YSI EXO 2 Sondes. A suite of water samples consists of ~3 L total of water collected into nine clean sample bottles separated by analysis type. All clean sample bottles are triple rinsed in the field with the sample water before filling. Most parameters are collected into PET bottles while trace mercury samples are collected into duplicate clean borosilicate vials using the “clean hands” and “dirty hands” protocol and additionally stored inside a double layer of PE bags. Total metals are preserved in the field to pH &lt; 2 using HNO₃. QA/QC samples include field duplicates in addition to field and travel blanks. After collection in the field, all water samples are kept cool at ~4’C and dark in coolers for transport until delivered to the Taiga Environmental Laboratory in Yellowknife, NT for analyses. Samples are analyzed for a standard suite of &gt; 80 analyses including physical parameters (Specific Conductance, pH, Turbidity, total dissolved solids, total suspended solids), chlorophyll-a, as well as total and dissolved nutrients, metals, major ions, and trace mercury.
DOI: 10.5517/ccdc.csd.cc2kw0cv
title: CCDC 2379447: Experimental Crystal Structure Determination

description: Related Article: Alborz Bavandsavadkouhi, Love Karan Rana, Heriniaina Randriamiharisoa, Mihaela Cibian, Benoit Daoust|2025|Chem. Sel.|10|e02031|doi:10.1002/slct.202502031
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kw2h1
title: CCDC 2379513: Experimental Crystal Structure Determination

description: Related Article: Alborz Bavandsavadkouhi, Love Karan Rana, Heriniaina Randriamiharisoa, Mihaela Cibian, Benoit Daoust|2025|Chem. Sel.|10|e02031|doi:10.1002/slct.202502031
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.nenenj
title: Occurrence Download

description: A dataset containing 1665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates capito"
 ]
}

 The dataset includes 1665 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000564-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cj6vs
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates areolatus areolatus"
 ]
}

 The dataset includes 111 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000565-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c55t3gd0n
title: MassIVE MSV000100645 - Proteomic profiling of EZH2 knockout and EZH2 rescue MEFs (Lewis lab collaboration)
title: Mass spectrometry datasets generated from mouse embryonic fibroblasts with EZH2 knockout and rescue transgenes expressing either wild-type EZH2, EZH2 S21A, or EZH2 S21D.
DOI: 10.15468/dl.nm4d27
title: Occurrence Download

description: A dataset containing 2003820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "Year 2015-2018"
 ]
}

 The dataset includes 2003820 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mnhen
title: Occurrence Download

description: A dataset listing the 1222 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.53183 48.34562,-71.52982 48.34562,-71.52982 48.81354,-72.53183 48.81354,-72.53183 48.34562))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1222 records were derived from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000548-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7z9zke
title: Occurrence Download

description: A dataset containing 9044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryobates minor",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "Year is 2025",
 "DatasetKey is Artportalen",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May"
 ]
 }
 ]
}

 The dataset includes 9044 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000566-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynf5r6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tenuiproboscis edmondsi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000567-260129131611470/datasets/export for details.