cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bzzvc9
title: Occurrence Download

description: A dataset containing 4483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.07654 -22.86114,-47.15115 -22.86114,-47.15115 -21.98096,-48.07654 -21.98096,-48.07654 -22.86114))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Myiodynastes maculatus (Statius Muller, 1776), Empidonomus varius (Vieillot, 1818))",
 "Year 2000-2025"
 ]
}

 The dataset includes 4483 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008649-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzsksw
title: Occurrence Download

description: A dataset containing 402064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Anser brachyrhynchus Baillon, 1834"
 ]
}

 The dataset includes 402064 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008622-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14744006
title: Five years of quality-controlled meteorological surface data at Oak Ridge Reserve in Tennessee

description: Access to continuous, quality assessed meteorological data is critical for understanding the climatology and atmospheric dynamics of a region. Research facilities like Oak Ridge National Laboratory (ORNL) rely on such data to assess site-specific climatology, model potential emissions, establish safety baselines, and prepare for emergency scenarios. To meet these needs, on-site towers at ORNL collect meteorological data at 15-minute and hourly intervals. However, data measurements from meteorological towers are affected by sensor sensitivity, degradation, lightning strikes, power fluctuations, glitching, and sensor failures, all of which can affect data quality. To address these challenges, we conducted a comprehensive quality assessment and processing of five years of meteorological data collected from ORNL at 15-minute intervals, including measurements of temperature, pressure, humidity, wind, and solar radiation. The time series of each variable was pre-processed and gap-filled using established meteorological data collection and cleaning techniques, i.e., the time series were subjected to structural standardization, data integrity testing, automated and manual outlier detection, and gap-filling. The data product and highly generalizable processing workflow developed in Python Jupyter notebooks are publicly accessible online. As a key contribution of this study, the evaluated 5-year data will be used to train atmospheric dispersion models that simulate dispersion dynamics across the complex ridge-and-valley topography of the Oak Ridge Reservation in East Tennessee.
DOI: 10.5281/zenodo.14744005
title: Five years of quality-controlled meteorological surface data at Oak Ridge Reserve in Tennessee

description: Github repository to reproduce this data: https://github.com/msteckle/orr_met_data_processing

Python script to download and unzip all the (most recent version) files in this archive: https://github.com/msteckle/orr_met_data_processing/blob/main/download_zenodo_archive.py

Access to continuous, quality assessed meteorological data is critical for understanding the climatology and atmospheric dynamics of a region. Research facilities like Oak Ridge National Laboratory (ORNL) rely on such data to assess site-specific climatology, model potential emissions, establish safety baselines, and prepare for emergency scenarios. To meet these needs, on-site towers at ORNL collect meteorological data at 15-minute and hourly intervals. However, data measurements from meteorological towers are affected by sensor sensitivity, degradation, lightning strikes, power fluctuations, glitching, and sensor failures, all of which can affect data quality. To address these challenges, we conducted a comprehensive quality assessment and processing of five years of meteorological data collected from ORNL at 15-minute intervals, including measurements of temperature, pressure, humidity, wind, and solar radiation. The time series of each variable was pre-processed and gap-filled using established meteorological data collection and cleaning techniques, i.e., the time series were subjected to structural standardization, data integrity testing, automated and manual outlier detection, and gap-filling. The data product and highly generalizable processing workflow developed in Python Jupyter notebooks are publicly accessible online. As a key contribution of this study, the evaluated 5-year data will be used to train atmospheric dispersion models that simulate dispersion dynamics across the complex ridge-and-valley topography of the Oak Ridge Reservation in East Tennessee.
DOI: 10.5281/zenodo.15171289
title: Five years of quality-controlled meteorological surface data at Oak Ridge Reserve in Tennessee

description: Github repository to reproduce this data: https://github.com/msteckle/orr_met_data_processing

Python script to download and unzip all the (most recent version) files in this archive: https://github.com/msteckle/orr_met_data_processing/blob/main/download_zenodo_archive.py

Access to continuous, quality assessed meteorological data is critical for understanding the climatology and atmospheric dynamics of a region. Research facilities like Oak Ridge National Laboratory (ORNL) rely on such data to assess site-specific climatology, model potential emissions, establish safety baselines, and prepare for emergency scenarios. To meet these needs, on-site towers at ORNL collect meteorological data at 15-minute and hourly intervals. However, data measurements from meteorological towers are affected by sensor sensitivity, degradation, lightning strikes, power fluctuations, glitching, and sensor failures, all of which can affect data quality. To address these challenges, we conducted a comprehensive quality assessment and processing of five years of meteorological data collected from ORNL at 15-minute intervals, including measurements of temperature, pressure, humidity, wind, and solar radiation. The time series of each variable was pre-processed and gap-filled using established meteorological data collection and cleaning techniques, i.e., the time series were subjected to structural standardization, data integrity testing, automated and manual outlier detection, and gap-filling. The data product and highly generalizable processing workflow developed in Python Jupyter notebooks are publicly accessible online. As a key contribution of this study, the evaluated 5-year data will be used to train atmospheric dispersion models that simulate dispersion dynamics across the complex ridge-and-valley topography of the Oak Ridge Reservation in East Tennessee.
DOI: 10.15468/dl.gusu99
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus wiedii wiedii"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008653-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15253595
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad México. Ensanut 2021-2024
DOI: 10.5281/zenodo.15253596
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad México. Ensanut 2021-2024
DOI: 10.5281/zenodo.15242011
title: Replication package for: "Landmines and Spatial Development".

description: This is the replication package for "Landmines and Spatial Development" by Giorgio Chiovelli, Stelios Michalopoulos, and Elias Papaioannou. It contains all the code necessary to reproduce the results presented in the main paper and the approved appendices, starting from the raw data. The analyses are conducted using Stata, R, and Python. For detailed replication instructions, please refer to the accompanying document "landmines_spatialdev_replication_v2.pdf."
DOI: 10.5281/zenodo.15242012
title: Replication package for: "Landmines and Spatial Development".

description: This is the replication package for "Landmines and Spatial Development" by Giorgio Chiovelli, Stelios Michalopoulos, and Elias Papaioannou. It contains all the code necessary to reproduce the results presented in the main paper and the approved appendices, starting from the raw data. The analyses are conducted using Stata, R, and Python. For detailed replication instructions, please refer to the accompanying document "landmines_spatialdev_replication_v2.pdf."
DOI: 10.21966/bzr6-er66
title: USGS Glacier Mapping - 2023 - Hakai Airborne Coastal Observatory
title: Cartographie des glaciers de l'USGS - 2023 - Observatoire côtier aéroporté de Hakai

description: The cryosphere is one of Earth’s most important natural resources, serving as a frozen reservoir that supplements surface runoff throughout the year. We continued our work on assessment of changes in glacier area, volume and mass through the Hakai Institute Airborne Coastal Observatory work. Our acquisitions are chosen to maximize the regional representativeness of our ice surveys so that these measurements can be used to answer questions about the importance of glacier runoff on freshwater availability in western Canada.

Hakai ACO Projects 23_4042_00_USGS_Montana, 23_4033_00_SouthCascadeGlacier, and
23_4034_00_SperryGlacier are three projects carried out in partnership with the United States Geological Survey (USGS) to expand our cryosphere work beyond the Canadian border. For more information on the partnership, please contact Brian Menounos (brian.menounos@hakai.org).
description: La cryosphère est l'une des ressources naturelles les plus importantes de la Terre. Elle sert de réservoir gelé qui complète le ruissellement de surface tout au long de l'année. Nous avons poursuivi nos travaux sur l'évaluation de l'évolution de la superficie, du volume et de la masse des glaciers dans le cadre des travaux de l'observatoire côtier aéroporté de l'Institut Hakai. Nos acquisitions sont choisies pour maximiser la représentativité régionale de nos relevés des glaces afin que ces mesures puissent être utilisées pour répondre à des questions concernant l'importance du ruissellement des glaciers sur la disponibilité de l'eau douce dans l'ouest du Canada.

Projets Hakai ACO 23_4042_00_USGS_Montana, 23_4033_00_SouthCascadeGlacier et
23_4034_00_SperryGlacier sont trois projets réalisés en partenariat avec le United States Geological Survey (USGS) pour étendre nos travaux sur la cryosphère au-delà de la frontière canadienne. Pour plus d'informations sur le partenariat, veuillez contacter Brian Menounos (brian.menounos@hakai.org).
DOI: 10.15468/dl.32xvk8
title: Occurrence Download

description: A dataset containing 1854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hechtia Klotzsch"
 ]
}

 The dataset includes 1854 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008655-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gut6wm
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia nevadensis subsp. bolosii Molero & Rovira"
 ]
}

 The dataset includes 242 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008656-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/ws0pp-h2661
title: Dataset: Transcriptomic Analysis of CAD Cell Differentiation

description: Transcriptomic analysis:  DESeq2 and Pathview output.
DOI: 10.15468/dl.2dbung
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.32_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Reduviidae, Triatoma Laporte, 1832, Paratriatoma Barber, 1938)"
 ]
}

 The dataset includes 1117 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008657-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11506357
title: Antutu Benchmark
DOI: 10.15468/dl.5g8t75
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008659-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15253944
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 02

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.5281/zenodo.15253945
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 02

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.15468/dl.jxycdg
title: Occurrence Download

description: A dataset containing 1569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasyprocta azarae Lichtenstein, 1823"
 ]
}

 The dataset includes 1569 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008661-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15257371
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 04

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.5281/zenodo.15257372
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 04

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.5281/zenodo.15256903
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 03

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.5281/zenodo.15256902
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 03

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.15468/dl.5ry4zs
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia nevadensis subsp. aragonensis (Loscos & J.Pardo) O.Bolòs & Vigo"
 ]
}

 The dataset includes 347 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008663-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15252745
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 01

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.5281/zenodo.15252746
title: GEONEAT 2D Heterogeneous Fracture Aperture and Reynolds-Based Flow Fields Run 01

description: This dataset contains 100 Monte Carlo realizations of 2D steady-state Stokes flow simulations in rough-walled fractures, generated within the GEONEAT project (EU Horizon Europe GA 101111216). 

The simulations adopt the lubrication approximation and capture the influence of aperture heterogeneity on hydrodynamic transport. Each realization includes pressure, velocity (longitudinal and transverse), and aperture fields stored in HDF5 format. Data were generated using a synthetic aperture FFT-based generator algorithm and solved with a custom Newton-based flow solver.

The dataset is organized according to the GEONEAT Data Management Plan. It is compatible with HDFView, MATLAB (`h5read`), and Python (`h5py`).

Please refer to the README file for a complete description of the structure, parameter values, and licensing information.

Related publication (under review):Lenci, A., et al. *Hydrodynamic Transport in Rough-Walled Fractures: A Monte Carlo Approach*. Submitted to the Journal of Fluid Mechanics.
DOI: 10.15468/dl.cm4ppa
title: Occurrence Download

description: A dataset containing 24649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aglia tau Linnaeus, 1758",
 "Geometry POLYGON((-31 35, 50 35, 50 72, -31 72, -31 35))"
 ]
}

 The dataset includes 24649 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008662-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.