cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14624393
title: denovoFAIRificationworkflowtestdataset_CLI_materialize_output

description: **dc:title**: Thesis Dataset for RDF Transformation (Dummy Data)- **dc:creator**: Zhengyu Lin- **dc:description**: This dataset is used for testing in my thesis project. It is in RDF format, converted from a relational database. The data contains dummy values that were created for testing purposes. The dataset is mapped using the THESISDEMO ontology, which provides context for the data. The ontology was created using Protégé and is publicly available on BioPortal. The dataset includes information such as patient name, age, disease, and doctor names. The transformation from relational data to RDF was done by mapping the source data to the ontology.- **dc:subject**: RDF, Data Transformation, Healthcare, Ontology Mapping- **dc:language**: en- **dc:accessRights**: Open Access- **dc:license**: Creative Commons Zero v1.0 Universal (CC0 1.0)- **dc:relation**: [THESISDEMO Ontology](https://bioportal.bioontology.org/ontologies/THESISDEMO)
DOI: 10.5281/zenodo.14651571
title: denovoFAIRificationworkflowtestdataset_CLI_materialize_output

description: **dc:title**: Thesis Dataset for RDF Transformation (Dummy Data)- **dc:creator**: Zhengyu Lin- **dc:description**: This dataset is used for testing in my thesis project. It is in RDF format, converted from a relational database. The data contains dummy values that were created for testing purposes. The dataset is mapped using the THESISDEMO ontology, which provides context for the data. The ontology was created using Protégé and is publicly available on BioPortal. The dataset includes information such as patient name, age, disease, and doctor names. The transformation from relational data to RDF was done by mapping the source data to the ontology.- **dc:subject**: RDF, Data Transformation, Healthcare, Ontology Mapping- **dc:language**: en- **dc:accessRights**: Open Access- **dc:license**: Creative Commons Zero v1.0 Universal (CC0 1.0)- **dc:relation**: [THESISDEMO Ontology](https://bioportal.bioontology.org/ontologies/THESISDEMO)
DOI: 10.34740/kaggle/dsv/10621762
title: 🌼 FIGHT ME! Sampaguita Girl on Twitter/ X 🇵🇭
DOI: 10.15468/dl.gb7z5x
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Vampyrum spectrum (Linnaeus, 1758)"
 ]
}

 The dataset includes 338 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005796-250127130748423/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.28319408
title: Source Data

description: This is the source data from our publication/Murphy, S.A., Miyamoto, M., Kervadec, A. <i>et al.</i> PGC1/PPAR drive cardiomyocyte maturation at single cell level via YAP1 and SF3B2. <i>Nat Commun</i> <b>12</b>, 1648 (2021). https://doi.org/10.1038/s41467-021-21957-z
DOI: 10.6084/m9.figshare.28319408.v1
title: Source Data

description: This is the source data from our publication/Murphy, S.A., Miyamoto, M., Kervadec, A. <i>et al.</i> PGC1/PPAR drive cardiomyocyte maturation at single cell level via YAP1 and SF3B2. <i>Nat Commun</i> <b>12</b>, 1648 (2021). https://doi.org/10.1038/s41467-021-21957-z
DOI: 10.15468/dl.jncbhz
title: Occurrence Download

description: A dataset containing 241076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-122.81 41.64,-104.93 41.64,-104.93 49.4,-122.81 49.4,-122.81 41.64))",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 241076 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005792-250127130748423/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.20305317
title: Fuel Moisture Index based on understorey Hygrochron iButton humidity and temperature measurements reliably predicts gravimetric fine fuel moisture in wet and dry temperate Eucalyptus forests litter fuels

description: Summarised fuel moisture and soil dryness datasets for Hobart study
DOI: 10.6084/m9.figshare.20305317.v1
title: Fuel Moisture Index based on understorey Hygrochron iButton humidity and temperature measurements reliably predicts gravimetric fine fuel moisture in wet and dry temperate Eucalyptus forests litter fuels

description: Summarised fuel moisture and soil dryness datasets for Hobart study
DOI: 10.5066/p9ihcar6
title: Earthquake-Triggered Ground Failure associated with the M9.2 1964 Great Alaska Earthquake

description: The M9.2 1964 Great Alaska earthquake is the second-largest earthquake in the historical record, the largest in North America, and involved nearly five minutes of shaking (Brocher and others, 2014). The earthquake initiated in the Alaska-Aleutian subduction zone, about 12 km below northern Prince William Sound. The rupture length was about 700 km and generated deep and shallow landsliding and widespread liquefaction over an area exceeding 200,000 square km. Peak ground accelerations reached ~50% g (USGS, 2016). The earthquake also generated a large tsunami that caused damage and fatalities as far south as California (Brocher and others, 2014).

This important event has been extensively studied, yet a digital compilation of ground failures from the event has not been created until now. Data from consequential historic events like the Great Alaska Earthquake are valuable for understanding the extent of impacts and improving the accuracy of predictive ground failure models. Ground failure data from historical events are not often digitized and are, therefore, relatively inaccessible for quantitative analyses. We present a digital compilation of about 1500 ground failure observations interpreted from numerous publications examining the 1964 earthquake (Figure 1), mainly from the USGS Professional Papers about the earthquake (papers 541-546). This series began as reconnaissance after the earthquake and broadened into many detailed investigations on the effects of the earthquake. This data release merges these observations into a single inventory with detailed feature attributes, descriptions of which can be found in Table 1. An interactive web version of the map is available as well. The most difficult challenges with this effort lay in handling uncertainties in the feature locations, and in the variability of the data quality due to the range in map and description scales of the publications. To address these issues, we compared the published information to historical topographic maps and local records, and included three attribute fields describing different types of uncertainties for each feature. These attributes are essential to understanding the limitations of the dataset and for using the observations appropriately for analysis.
DOI: 10.15468/dl.928kd3
title: Occurrence Download

description: A dataset containing 3461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-122.81 41.64,-104.93 41.64,-104.93 49.4,-122.81 49.4,-122.81 41.64))",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 3461 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005797-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14751569
title: Products and Models for "A multidimensional map of the dayside of an extrasolar planet"

description: This archive contains the data products associated with the paper "A multidimensional map of the dayside of an extrasolar planet" by Challener & Weiner Mansfield et al. The tar.gz file contains a short README and three subdirectories: (1) eigenspectra, (2) retrievals, and (3) theresa. The eigenspectra directory contains a README, the eigenspectra data products in the numpy format, and the materials necessary to produce many of the figures in the manuscript. The retrievals directory contains separate subdirectories for the PyratBay and HyDRA retrieval results, each with their own README files describing the contents. The theresa directory includes a README, the ThERESA inputs, outputs, configuration file, and a subdirectory with the scripts used to make the remaining figures.

 

Abstract:

Highly-irradiated, synchronously-rotating exoplanets are anticipated to exhibit large variations of atmospheric temperature and chemistry as a function of longitude, latitude,and altitude. Previous observations have hinted at these variations but the existing data have been fundamentally restricted to probing hemisphere-integrated spectra, thereby providing only coarse information on atmospheric gradients. Here we present the first spectroscopic eclipse map of a transiting extrasolar planet, resolving the atmosphere in multiple dimensions simultaneously. We applied the Eigenspectra mapping method to a secondary eclipse of the ultra-hot Jupiter WASP-18b observed with the NIRISS instrument on JWST. The mapping reveals weaker longitudinal temperature gradients than were predicted by theoretical models,indicating the importance of hydrogen dissociation and/or nightside clouds in shaping global thermal emission. Additionally, we identify two thermally distinct regions of the planet’s atmosphere: a “hotspot” surrounding the substellar point and a “ring” near the dayside limbs. Our analysis of the hotspot region shows a strongly inverted thermal structure due to the presence of absorbers in the optical. The water abundance in the hotspot is marginally lower than the hemispheric average, in accordance with theoretical predictions. The ring region shows colder temperatures and poorly constrained chemical abundances. Similar analyses of future JWST observations will reveal three-dimensional structures across a broad population of exoplanet atmospheres.
DOI: 10.5281/zenodo.14751570
title: Products and Models for "A multidimensional map of the dayside of an extrasolar planet"

description: This archive contains the data products associated with the paper "A multidimensional map of the dayside of an extrasolar planet" by Challener & Weiner Mansfield et al. The tar.gz file contains a short README and three subdirectories: (1) eigenspectra, (2) retrievals, and (3) theresa. The eigenspectra directory contains a README, the eigenspectra data products in the numpy format, and the materials necessary to produce many of the figures in the manuscript. The retrievals directory contains separate subdirectories for the PyratBay and HyDRA retrieval results, each with their own README files describing the contents. The theresa directory includes a README, the ThERESA inputs, outputs, configuration file, and a subdirectory with the scripts used to make the remaining figures.

 

Abstract:

Highly-irradiated, synchronously-rotating exoplanets are anticipated to exhibit large variations of atmospheric temperature and chemistry as a function of longitude, latitude,and altitude. Previous observations have hinted at these variations but the existing data have been fundamentally restricted to probing hemisphere-integrated spectra, thereby providing only coarse information on atmospheric gradients. Here we present the first spectroscopic eclipse map of a transiting extrasolar planet, resolving the atmosphere in multiple dimensions simultaneously. We applied the Eigenspectra mapping method to a secondary eclipse of the ultra-hot Jupiter WASP-18b observed with the NIRISS instrument on JWST. The mapping reveals weaker longitudinal temperature gradients than were predicted by theoretical models,indicating the importance of hydrogen dissociation and/or nightside clouds in shaping global thermal emission. Additionally, we identify two thermally distinct regions of the planet’s atmosphere: a “hotspot” surrounding the substellar point and a “ring” near the dayside limbs. Our analysis of the hotspot region shows a strongly inverted thermal structure due to the presence of absorbers in the optical. The water abundance in the hotspot is marginally lower than the hemispheric average, in accordance with theoretical predictions. The ring region shows colder temperatures and poorly constrained chemical abundances. Similar analyses of future JWST observations will reveal three-dimensional structures across a broad population of exoplanet atmospheres.
DOI: 10.15468/dl.rqbz47
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PSU-Seaweed Collection"
 ]
}

 The dataset includes 485 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005798-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14775833
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions
DOI: 10.5281/zenodo.14775834
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions
DOI: 10.15468/dl.xhrwtk
title: Occurrence Download

description: A dataset containing 6421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Panicum virgatum L."
 ]
}

 The dataset includes 6421 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005800-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57rrmm
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Reynoutria sachalinensis (F.Schmidt) Nakai"
 ]
}

 The dataset includes 99 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005802-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77ad36
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Reynoutria sachalinensis (F.Schmidt) Nakai"
 ]
}

 The dataset includes 99 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005803-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13g9uzn
title: Fuels Data From Sequoia and Kings Canyon National Parks 2022

description: We established a network of 121 plots distributed within the 2020 SQF, 2020 Rattlesnake, and 2021 KNP complex fire footprints (extracted from Fire and Resource Assessment Program (FRAP), https://frap.fire.ca.gov), as well as outside the fire perimeters to provide an unburned comparison. These plots were combined from two projects: a fire and fuels study (F&F) and the USGS sequoia research program (SRP), a related study of sequoia grove condition. All plots were visited in the summer of 2022, and thus we captured dynamics 1 and 2 years post-fire. Plots were restricted to conifer forest types, informed by a Sequoia and Kings Canyon national parks (SEKI) vegetation classification geospatial layer. F&F plots (102 in total) were stratified by elevation bands (1500-1917, 1917-2333, 2333-2750 m) and satellite-derived metrics of fire severity. SRP plots (19 in total) were placed in both burned and unburned giant sequoia groves. In all, 45 plots were located across eleven giant sequoia groves, with the remaining 76 plots located outside of groves.

These data support the following publication:
Das, A.J., Rosenthal, L.M., and Shive, K.L., 2025. The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada. Forest Ecology and Management, 580. https://doi.org/10.1016/j.foreco.2024.122486.
DOI: 10.15468/dl.xftbmg
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.27987 -23.78308,-63.23772 -23.78308,-63.23772 -8.49829,-79.27987 -8.49829,-79.27987 -23.78308))",
 "TaxonKey is Orestias Valenciennes, 1839"
 ]
}

 The dataset includes 651 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005804-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5d21rw9d
title: MassIVE MSV000097005 - GNPS Untargeted Metabolomic Analysis of Quercus chihuahuensis
title: We conducted an untargeted metabolomic analysis on mature oak leaves (10 months after sprouting) of Quercus chihuahuensis, collected from El Encinal, Bacanora, Sonora, Mexico. The samples were analyzed using LC-HR-MS/MS in positive ion mode with data-dependent acquisition.
DOI: 10.15468/dl.2whxsb
title: Occurrence Download

description: A dataset listing the 189491 species recorded in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset's 189491 records were derived from 4616 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005801-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jk0xj4
title: Occurrence Download

description: A dataset containing 556 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacardium excelsum (Bertero & Balb.) Skeels"
 ]
}

 The dataset includes 556 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006505-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29gt7e
title: Occurrence Download

description: A dataset containing 1978 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium peninsulare Lemmon ex Greene"
 ]
}

 The dataset includes 1978 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032158-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iom5ia
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Nepal",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0",
 "License is CC-BY-NC 4.0"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Rhyacornis fuliginosa (Vigors, 1831)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 244 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006505-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd8xh7
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Costa Rica",
 "TaxonKey is Ehretia latifolia Loisel."
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032160-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njhcd4
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Litsea Lam.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 200 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006505-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67vpk3
title: Occurrence Download

description: A dataset containing 41850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Biodiversidad identificada por medio de metabarcoding asociada al Estudio de Impacto ambiental para el proyecto Piloto de Investigación Integral - Kalé"
 ]
}

 The dataset includes 41850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039373-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t5mbu
title: Occurrence Download

description: A dataset containing 4053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus canariensis C.Sm."
 ]
}

 The dataset includes 4053 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180217-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at69wp
title: Occurrence Download

description: A dataset containing 12142287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Pl@ntNet automatically identified occurrences"
 ]
}

 The dataset includes 12142287 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039374-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkgrgw
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euterpe precatoria var. precatoria"
 ]
}

 The dataset includes 297 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139557-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfen05
title: Occurrence Download

description: A dataset containing 2096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indigofera tinctoria L."
 ]
}

 The dataset includes 2096 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006506-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.