cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wh3u73
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Bonplandia Cav."
 ]
}

 The dataset includes 590 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013473-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm2d6k
title: Occurrence Download

description: A dataset containing 13973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Cardiopteridaceae"
 ]
}

 The dataset includes 13973 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013477-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu9thp
title: Occurrence Download

description: A dataset containing 66253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Puerto Rico",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 66253 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013457-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evz9df
title: Occurrence Download

description: A dataset containing 15591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Caricaceae"
 ]
}

 The dataset includes 15591 records from 525 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013478-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehs3e5
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Carlemanniaceae"
 ]
}

 The dataset includes 497 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013480-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/qa4bro/rfa9yz
title: 250408_OPT1_TensileTest_031.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_031.tif
DOI: 10.13130/rd_unimi/qa4bro/1pmzn6
title: 250408_OPT1_TensileTest_032.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_032.tif
DOI: 10.13130/rd_unimi/qa4bro/le3o5l
title: 250408_OPT1_TensileTest_033.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_033.tif
DOI: 10.13130/rd_unimi/qa4bro/wcrihu
title: 250408_OPT1_TensileTest_034.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_034.tif
DOI: 10.13130/rd_unimi/qa4bro/8igw1g
title: 250408_OPT1_TensileTest_035.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_035.tif
DOI: 10.13130/rd_unimi/qa4bro/qzda1i
title: 250408_OPT1_TensileTest_036.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_036.tif
DOI: 10.13130/rd_unimi/qa4bro/g2g33b
title: 250408_OPT1_TensileTest_037.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_037.tif
DOI: 10.13130/rd_unimi/qa4bro/lh6g9r
title: 250408_OPT1_TensileTest_038.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_038.tif
DOI: 10.13130/rd_unimi/qa4bro/nei5ly
title: 250408_OPT1_TensileTest_039.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_039.tif
DOI: 10.13130/rd_unimi/qa4bro/xmz9xb
title: 250408_OPT1_TensileTest_040.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_040.tif
DOI: 10.13130/rd_unimi/qa4bro/otso5y
title: 250408_OPT1_TensileTest_041.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_041.tif
DOI: 10.13130/rd_unimi/qa4bro/4rif6u
title: 250408_OPT1_TensileTest_042.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_042.tif
DOI: 10.15468/dl.dhmg8k
title: Occurrence Download

description: A dataset containing 32908 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eschrichtius robustus"
 ]
}

 The dataset includes 32908 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027257-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/qa4bro/svsyxh
title: 250408_OPT1_TensileTest_043.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_043.tif
DOI: 10.13130/rd_unimi/qa4bro/9qt5o5
title: 250408_OPT1_TensileTest_044.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_044.tif
DOI: 10.15468/dl.sdctbv
title: Occurrence Download

description: A dataset containing 1980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quillaja saponaria",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1980 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027258-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/qa4bro/gwf3rz
title: 250408_OPT1_TensileTest_046.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_046.tif
DOI: 10.13130/rd_unimi/qa4bro/mkqmvh
title: 250408_OPT1_TensileTest_045.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_045.tif
DOI: 10.13130/rd_unimi/qa4bro/q8rcki
title: 250408_OPT1_TensileTest_047.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_047.tif
DOI: 10.13130/rd_unimi/qa4bro/vczgmt
title: 250408_OPT1_TensileTest_048.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_048.tif
DOI: 10.13130/rd_unimi/qa4bro/uz9egy
title: 250408_OPT1_TensileTest_049.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_049.tif
DOI: 10.15468/dl.3ge3av
title: Occurrence Download

description: A dataset containing 4929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Speculanas specularis (P.P.King, 1828)"
 ]
}

 The dataset includes 4929 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009974-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5zv5m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pristimantis gaigei)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080977-250717081556266/datasets/export for details.
DOI: 10.15468/dl.9p3u2q
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pristimantis gaigei)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 738 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080979-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mjyr6gw9sn
title: Supplementary Figure 1. Average length of stay during admission for HS flare, stratifying for admitting service.

description: Inpatient Management of Hidradenitis Suppurativa: A Single-Center Retrospective Study
DOI: 10.17632/mjyr6gw9sn.1
title: Supplementary Figure 1. Average length of stay during admission for HS flare, stratifying for admitting service.

description: Inpatient Management of Hidradenitis Suppurativa: A Single-Center Retrospective Study
DOI: 10.22033/esgf/cmip6.17202
title: CCCma CanESM5.1 model output prepared for CMIP6 CMIP 1pctCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.CCCma.CanESM5-1.1pctCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CanESM5.1 climate model, released in 2022, includes the following components:
 aerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. 
The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.3886/e228641
title: Autoethnographic Insights from Neurodivergent GAI “Power Users”

description: Generative AI (AI) has become ubiquitous in both daily and professional life, with emerging research demonstrating its potential as a tool for accessibility. Neurodivergent people, often left out by existing accessibility technologies, develop their own ways of navigating normative expectations. GAI offers new opportunities for access, but it is important to understand how neurodivergent “power users”—successful early adopters—engage with it and the challenges they face. Further, we must understand how marginalization and intersectional identities influence their interactions with GAI. Our autoethnography, enhanced by privacy-preserving GAI-based diaries and interviews, reveals the intricacies of using GAI to navigate normative environments and expectations. Our findings demonstrate how GAI can both support and complicate tasks like code-switching, emotional regulation, and accessing information. We show that GAI can help neurodivergent users to reclaim their agency in systems that diminish their autonomy and self-determination. However, challenges such as balancing authentic self-expression with societal conformity, alongside other risks, create barriers to realizing GAI’s full potential for accessibility.
description: U.S.-based adults with at least a Bachelor's degree in Computer Science who identify as neurodivergent and use GAI regularly for &gt;3 months.
DOI: 10.3886/e228641v1
title: Autoethnographic Insights from Neurodivergent GAI “Power Users”

description: Generative AI (AI) has become ubiquitous in both daily and professional life, with emerging research demonstrating its potential as a tool for accessibility. Neurodivergent people, often left out by existing accessibility technologies, develop their own ways of navigating normative expectations. GAI offers new opportunities for access, but it is important to understand how neurodivergent “power users”—successful early adopters—engage with it and the challenges they face. Further, we must understand how marginalization and intersectional identities influence their interactions with GAI. Our autoethnography, enhanced by privacy-preserving GAI-based diaries and interviews, reveals the intricacies of using GAI to navigate normative environments and expectations. Our findings demonstrate how GAI can both support and complicate tasks like code-switching, emotional regulation, and accessing information. We show that GAI can help neurodivergent users to reclaim their agency in systems that diminish their autonomy and self-determination. However, challenges such as balancing authentic self-expression with societal conformity, alongside other risks, create barriers to realizing GAI’s full potential for accessibility.
description: U.S.-based adults with at least a Bachelor's degree in Computer Science who identify as neurodivergent and use GAI regularly for &gt;3 months.
DOI: 10.15468/dl.2aaj6n
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004628-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.17224
title: CCCma CanESM5.1 model output prepared for CMIP6 CMIP abrupt-4xCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.CCCma.CanESM5-1.abrupt-4xCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CanESM5.1 climate model, released in 2022, includes the following components:
 aerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. 
The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.34808/fhqw-dd54
title: A project to detect and study the co-occurrence of price bubbles

description: The dataset contains an R-project with five procedures dedicated to calculating/conducting (in parentheses, the name of the procedure is given):
•    (ART) – statistical test value for GSADF procedure, critical values from Monte Carlo simulation with 2,000 repetitions, characteristics for detected price bubbles periods.•    (Correlation) – phi correlation coefficient for price bubble periods.•    (Descriptive statistics) – a set of descriptive statistics for the input file. As a result, the user receives value for: Mean, Median, Standard_Deviation, Kurtosis, Skewness, Range, Minimum, Maximum, JB_Statistic, JB_pval, Count.•    (Logistic regression) – logistic regression models, using backwards stepwise regression.•    (Trees) – random forest method.
 
The project was funded in whole by the Poland National Science Centre [registration number 2024/08/X/HS4/00044]. Title: Characteristics and co-occurrence of price bubbles on the art investment market and selected capital markets.
DOI: 10.22033/esgf/cmip6.16483
title: UCI E3SM1.0 model output prepared for CMIP6 PAMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.PAMIP.UCI.E3SM-1-0' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The E3SM 1.0 (Energy Exascale Earth System Model) climate model, released in 2018, includes the following components:
 aerosol: MAM4 with resuspension, marine organics, and secondary organics (same grid as atmos), atmos: EAM (v1.0, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; 72 levels; top level 0.1 hPa), atmosChem: Troposphere specified oxidants for aerosols. Stratosphere linearized interactive ozone (LINOZ v2) (same grid as atmos), land: ELM (v1.0, cubed sphere spectral-element grid; 5400 elements with p=3; 1 deg average grid spacing; 90 x 90 x 6 longitude/latitude/cubeface; satellite phenology mode), MOSART (v1.0, 0.5 degree latitude/longitude grid), ocean: MPAS-Ocean (v6.0, oEC60to30 unstructured SVTs mesh with 235160 cells and 714274 edges, variable resolution 60 km to 30 km; 60 levels; top grid cell 0-10 m), seaIce: MPAS-Seaice (v6.0, same grid as ocean). 
The model was run by the Department of Earth System Science, University of California Irvine, Irvine, CA 92697, USA (UCI) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.