cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18489014
title: Decision-Making and Digital Systems 2026 (Dataset, n = 358)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2026 data series. It examines how people experience decision-making, autonomy, confidence, and reliance when interacting with digital and AI-enabled systems in everyday life, including perceived clarity, cognitive effort, and shifts in personal capability.

The dataset includes:• validated 1–7 Likert-scale items• measures of decision-making clarity, confidence, and overwhelm• indicators of reliance on digital and automated systems for thinking and decision support• measures of perceived autonomy, independence, and epistemic confidence• self-reported change over the past year in focus, control, and wellbeing• demographic variables across six English-speaking countries

Data were collected on 4 February 2026 via Prolific from adults in Australia, the United States, the United Kingdom, Ireland, Canada, and New Zealand.

All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:

• canonical snake_case variable naming• validated numeric ranges and response scales• standardised demographic and categorical encodings• full alignment with the accompanying data dictionary• removal of participant identifiers and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how decision-making processes are shaped in digitally mediated environments, supporting longitudinal tracking of autonomy, cognitive reliance, and human agency as AI systems become increasingly embedded in everyday life.
DOI: 10.15468/dl.ax48hc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-115.02154 32.30325,-115.08188 32.24837,-115.0627 32.23791,-115.04576 32.22903,-115.00425 32.29028,-115.02154 32.30325))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StartDayOfYear 1-366",
 "TaxonKey is Aves",
 "Year 2025-2025"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012683-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18488866
title: Calibrated 2m land RH from ERA5 using a theoretical index of land RH

description: code_to_generateCalibratedRH.py:

Python code to create the calibrated annual and monthly 2m land RH (from ERA5) based on the equation RH_ERA5C = RH_ERA5+(theta_OBS-theta_ERA5)*dRH/dtheta

 

CalibratedERA5_Annual_LandRH_1973_2024.nc: 

NetCDF contains the annual mean land RH from 1973 to 2024 for the original ERA5, the calibrated ERA5, and the calibrated ERA5 but with climatology adjusted

 

CalibratedERA5_Monthly_LandRH_1973_2024.nc: 

NetCDF contains the monthly land RH from 1973 to 2024 for the original ERA5, the calibrated ERA5, and the calibrated ERA5 but with climatology adjusted
DOI: 10.34740/kaggle/dsv/14735438
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.eqy4m4
title: Occurrence Download

description: A dataset containing 1643 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Dermoptera [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1643 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012686-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kf4xz
title: Occurrence Download

description: A dataset containing 1672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Espadarana prosoblepon"
 ]
}

 The dataset includes 1672 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012685-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfcrk4
title: Occurrence Download

description: A dataset containing 9373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalanthera rubra)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 9373 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012684-260129131611470/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.29651588
title: Supplemental Information for published manuscript

description: <i>Journal of Geophysical Research: Space Physics</i>Supplemental Information for<b>Effect of Soft Electron Precipitation on Cusp Neutral </b><b>Density Structuring</b>F. Brent Sadler, Marc Lessard, Antonius Otto, Meghan Burleigh
DOI: 10.6084/m9.figshare.29651588.v1
title: Supplemental Information for published manuscript

description: <i>Journal of Geophysical Research: Space Physics</i>Supplemental Information for<b>Effect of Soft Electron Precipitation on Cusp Neutral </b><b>Density Structuring</b>F. Brent Sadler, Marc Lessard, Antonius Otto, Meghan Burleigh
DOI: 10.5281/zenodo.18436024
title: IODP Expedition 403 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.18436025
title: IODP Expedition 403 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.15468/dl.9pct68
title: Occurrence Download

description: A dataset containing 50692541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (December, November, October, September, August, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2023-2023"
 ]
}

 The dataset includes 50692541 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012672-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2azm8e
title: Occurrence Download

description: A dataset containing 18569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium arvense, Cerastium arvense)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 18569 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012689-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18488579
title: Ensemble dataset of historical and future U.S. daily large hail 1960 to 2100

description: Using XGBoost a machine learning model was trained on large-scale environment variables from the European Centre for Medium-Range Weather Forecasts fifth generation reanalysis (ERA5) (Hersbach et al., 2020) and observed hail reports from the Storm Prediction Center's Storm Events dataset (Schaefer and Edwards, 1999) over the period 2000-2021. The model identifies large-scale environmental controls on grid-scale daily probability of U.S. large hail occurrence (hailstones of diameter greater than 25 mm).

 

The hail model is then applied to 10 members of a bias-corrected 1° resolution Community Earth System Model Large Ensemble data (LENS2, Rodgers et al. 2021) under historical and Shared Socioeconomic Pathway 370 future forcing to produce grid-scale daily large hail probabilities from 1960 - 2100. Hail days (value = 1) are assigned when the probability is 0.6 or higher. Non-hail days (value = 0) are assigned when the probability is less than 0.6.

 

The dimension names in the data file are:



ensemble: ensemble member,

day: days since January 1, 1960,

lat (degrees North): latitude of the grid cell center,

lon (degrees East): longitude of the grid cell center,

Daily_hail_pred(ensemble, day, lat, lon): hail day (=1) or non-hail day (=0).


This dataset was funded by QBE Americas, Inc. We also acknowledge computing support from the Casper system (https://ncar.pub/casper) provided by the NSF National Center for Atmospheric Research (NCAR), sponsored by the National Science Foundation.
DOI: 10.5281/zenodo.18488580
title: Ensemble dataset of historical and future U.S. daily large hail 1960 to 2100

description: Using XGBoost a machine learning model was trained on large-scale environment variables from the European Centre for Medium-Range Weather Forecasts fifth generation reanalysis (ERA5) (Hersbach et al., 2020) and observed hail reports from the Storm Prediction Center's Storm Events dataset (Schaefer and Edwards, 1999) over the period 2000-2021. The model identifies large-scale environmental controls on grid-scale daily probability of U.S. large hail occurrence (hailstones of diameter greater than 25 mm).

 

The hail model is then applied to 10 members of a bias-corrected 1° resolution Community Earth System Model Large Ensemble data (LENS2, Rodgers et al. 2021) under historical and Shared Socioeconomic Pathway 370 future forcing to produce grid-scale daily large hail probabilities from 1960 - 2100. Hail days (value = 1) are assigned when the probability is 0.6 or higher. Non-hail days (value = 0) are assigned when the probability is less than 0.6.

 

The dimension names in the data file are:



ensemble: ensemble member,

day: days since January 1, 1960,

lat (degrees North): latitude of the grid cell center,

lon (degrees East): longitude of the grid cell center,

Daily_hail_pred(ensemble, day, lat, lon): hail day (=1) or non-hail day (=0).


This dataset was funded by QBE Americas, Inc. We also acknowledge computing support from the Casper system (https://ncar.pub/casper) provided by the NSF National Center for Atmospheric Research (NCAR), sponsored by the National Science Foundation.
DOI: 10.5281/zenodo.18489037
title: IODP Expedition 393 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18489036
title: IODP Expedition 393 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.6084/m9.figshare.31258819
title: Decision-Making and Digital Systems 2026 (Dataset, n= 358)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2026 data series. It examines how people experience decision-making, autonomy, confidence, and reliance when interacting with digital and AI-enabled systems in everyday life, including perceived clarity, cognitive effort, and shifts in personal capability.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of decision-making clarity, confidence, and overwhelm<br>• indicators of reliance on digital and automated systems for thinking and decision support<br>• measures of perceived autonomy, independence, and epistemic confidence<br>• self-reported change over the past year in focus, control, and wellbeing<br>• demographic variables across six English-speaking countriesData were collected on 4 February 2026 via Prolific from adults in Australia, the United States, the United Kingdom, Ireland, Canada, and New Zealand.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming<br>• validated numeric ranges and response scales<br>• standardised demographic and categorical encodings<br>• full alignment with the accompanying data dictionary<br>• removal of participant identifiers and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how decision-making processes are shaped in digitally mediated environments, supporting longitudinal tracking of autonomy, cognitive reliance, and human agency as AI systems become increasingly embedded in everyday life.
DOI: 10.6084/m9.figshare.31258819.v1
title: Decision-Making and Digital Systems 2026 (Dataset, n= 358)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2026 data series. It examines how people experience decision-making, autonomy, confidence, and reliance when interacting with digital and AI-enabled systems in everyday life, including perceived clarity, cognitive effort, and shifts in personal capability.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of decision-making clarity, confidence, and overwhelm<br>• indicators of reliance on digital and automated systems for thinking and decision support<br>• measures of perceived autonomy, independence, and epistemic confidence<br>• self-reported change over the past year in focus, control, and wellbeing<br>• demographic variables across six English-speaking countriesData were collected on 4 February 2026 via Prolific from adults in Australia, the United States, the United Kingdom, Ireland, Canada, and New Zealand.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming<br>• validated numeric ranges and response scales<br>• standardised demographic and categorical encodings<br>• full alignment with the accompanying data dictionary<br>• removal of participant identifiers and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how decision-making processes are shaped in digitally mediated environments, supporting longitudinal tracking of autonomy, cognitive reliance, and human agency as AI systems become increasingly embedded in everyday life.
DOI: 10.57967/hf/7721
title: OR-PAM-Reg-4K
DOI: 10.15468/dl.4ccqpd
title: Occurrence Download

description: A dataset containing 7233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mormoops megalophylla"
 ]
}

 The dataset includes 7233 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012692-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/c6yr2qwa
title: Phase I intercept survey data
DOI: 10.15468/dl.a5hadu
title: Occurrence Download

description: A dataset containing 12903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium glomeratum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12903 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012691-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jphgtx
title: Occurrence Download

description: A dataset containing 1869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.15921 8.02555,-74.76631 8.02456,-74.7641 8.34534,-74.76422 8.38297,-75.16245 8.38297,-75.15921 8.02555))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 1869 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012693-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18488977
title: Data for "Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects"

description: This dataset contains codes, data, tables, and figures related to the following publication: Tanaka, K., W. Xiong, D. A. Hauglustaine, D. J. A. Johansson, N. Bauer, P. Bousquet, P. Ciais, R. de Richter, M. T. Lund, R. Skeie, E. Zusman (2026) Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects. Arxiv (preprint). 24 January 2026. https://doi.org/10.48550/arXiv.2601.17462
DOI: 10.5281/zenodo.18488978
title: Data for "Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects"

description: This dataset contains codes, data, tables, and figures related to the following publication: Tanaka, K., W. Xiong, D. A. Hauglustaine, D. J. A. Johansson, N. Bauer, P. Bousquet, P. Ciais, R. de Richter, M. T. Lund, R. Skeie, E. Zusman (2026) Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects. Arxiv (preprint). 24 January 2026. https://doi.org/10.48550/arXiv.2601.17462
DOI: 10.15468/dl.expufq
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cercis canadensis, Cercis canadensis, Cercis canadensis glabrifolia)"
 ]
}

 The dataset includes 952 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012694-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18489051
title: IODP Expedition 390C Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18489050
title: IODP Expedition 390C Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.15468/dl.hp4y39
title: Occurrence Download

description: A dataset containing 115 records in GBIF matching the query:
SELECT
 gbifid,
 scientificname,
 typestatus.concepts typestatus,
 recordedby,
 eventdate,
 "year",
 countrycode,
 stateprovince,
 institutioncode,
 collectioncode,
 catalognumber,
 datasetkey,
 publisher
FROM
 occurrence
WHERE
 occurrence.typestatus IS NOT NULL
 AND GBIF_STRINGARRAYCONTAINS(occurrence.typestatus.concepts, 'HOLOTYPE', FALSE)
 AND occurrence.recordedby IS NOT NULL
 AND GBIF_STRINGARRAYLIKE(occurrence.recordedby, '*Sucre*', FALSE)
 AND occurrence."year" &gt;= 1958
 AND occurrence."year" &lt;= 2001

 The dataset's 115 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012681-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.