cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xsgw47
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.09491 38.55684,122.24279 38.94051,123.64576 39.43479,124.22881 39.89763,125.81398 40.81399,126.76144 41.59535,125.86864 42.72978,125.43135 43.62002,124.50211 43.59363,121.93304 43.5144,119.41863 42.83676,118.32541 42.67622,119.6555 42.50183,119.6555 41.94865,118.19787 41.36329,118.78996 40.54653,120.46624 40.29685,121.09491 38.55684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Glycine soja Siebold & Zucc.",
 "Year 2000-2020"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063202-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/2d44-b522
title: ICARUS Chamber Experiment: 2014 FIXCIT Study_20140105_4-hydroxy-3-nitrooxy ISOPN/hydrogen peroxide_Hydroxyl radical_No Seed_Blank H2O2 + hv (high-NO "far" bag) and isoprene hydroxynitrate calibrations

description: Goals: Measure the background concentrations created by exposing the bag to OH. Sample ISOPN pillow bags. Interested mainly in: -what signals do the instruments see with no added VOC. -which instruments observe signal from the ISOPN, and is their response linear to different ISOPN concentrations.Summary: Today we successfully ran a blank experiment (H2O2 added, no added VOC) in the high NOx bag. Instruments took turns coming off the blank experiment to sample pillow bag standards of the 4-OH, 3-nitrate isoprene hydroxynitrate provided by the Cohen and Shepson groups. The Cohen group bag was 13 ppb and the 3 Shepson bags were 47 ppt, 103 ppt, and 283 ppt.Organization: 2014 FIXCIT Study Lab Affiliation: California Institute of Technology Chamber: Seinfeld chambersExperiment Category: Blank/Control Oxidant: Hydroxyl radical Reactants: 4-hydroxy-3-nitrooxy ISOPN, hydrogen peroxide Reaction Type: Photooxidation Relative Humidity: 5 Temperature: 24-27 Pressure: 750
DOI: 10.15468/dl.um9yej
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tryblionella hungarica (Grunow) D.G.Mann",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063203-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15267190
title: POEBRA_dataset_and_Rscript

description: Poebra quantitative analysis, providing dataset and script for Rstudio
DOI: 10.5281/zenodo.15715368
title: POEBRA_dataset_and_Rscript

description: Poebra quantitative analysis, providing dataset and script for Rstudio
DOI: 10.15468/dl.cvwfza
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tryblionella levidensis W.Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063204-250525065834625/datasets/export for details.
DOI: 10.15468/dl.m68rsc
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Notropis lutipinnis (Jordan & Brayton, 1878)"
 ]
}

 The dataset includes 531 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063206-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15603091
title: Safety map of Ukraine based on ACLED at 1 km resolution (armed events within 10 km)

description: This dataset provides a safety risk map for the territory of Ukraine based on the Armed Conflict Location & Event Data Project (ACLED). It visualizes the density of conflict-related events recorded between 2022 and 2024, aggregated within a 10 km radius and output at 1 km spatial resolution.

The map shows relative security conditions relevant to energy infrastructure planning, indicating areas with higher or lower intensity of armed incidents. It was developed to support the land suitability analysis for solar PV deployment under the U_CAN – Ukraine towards Carbon Neutrality project (Horizon Europe, Grant Agreement No. 101148374).

The map was created using Kernel Density Estimation (KDE) in QGIS:





Input data: point locations of armed events from ACLED,




KDE radius: 10 km,




Output resolution: 1 km,




Output values: number of events per pixel (smoothed estimate)



Original data source: ACLED (2022–2024)Processing method: Aggregation of event counts within 10 km kernel (KDE)Spatial resolution: 1 kmProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Coverage: UkraineFormat: GeoTIFF
DOI: 10.5281/zenodo.15603092
title: Safety map of Ukraine based on ACLED at 1 km resolution (armed events within 10 km)

description: This dataset provides a safety risk map for the territory of Ukraine based on the Armed Conflict Location & Event Data Project (ACLED). It visualizes the density of conflict-related events recorded between 2022 and 2024, aggregated within a 10 km radius and output at 1 km spatial resolution.

The map shows relative security conditions relevant to energy infrastructure planning, indicating areas with higher or lower intensity of armed incidents. It was developed to support the land suitability analysis for solar PV deployment under the U_CAN – Ukraine towards Carbon Neutrality project (Horizon Europe, Grant Agreement No. 101148374).

The map was created using Kernel Density Estimation (KDE) in QGIS:





Input data: point locations of armed events from ACLED,




KDE radius: 10 km,




Output resolution: 1 km,




Output values: number of events per pixel (smoothed estimate)



Original data source: ACLED (2022–2024)Processing method: Aggregation of event counts within 10 km kernel (KDE)Spatial resolution: 1 kmProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Coverage: UkraineFormat: GeoTIFF
DOI: 10.5281/zenodo.15602961
title: Topographic Maps for the Territory of Ukraine at 1 km Resolution – Elevation (m) and Slope (degree)

description: This dataset provides topographic raster maps of elevation and slope for the territory of Ukraine, developed to support spatial analysis of solar photovoltaic (PV) suitability and broader terrain-based assessments.

The source data is the SRTM 90m Digital Elevation Model (DEM) from the CGIAR-CSI archive. The elevation values were resampled and processed as follows:





Elevation: aggregated to 100 m resolution using bilinear interpolation,




Slope: calculated from the original SRTM DEM and similarly resampled to 100 m resolution.



Both rasters were reprojected to EPSG:32636 (WGS 84 / UTM zone 36N) to ensure consistency with other geospatial layers used in the U_CAN project.

Original data source: SRTM 90m DEM (CGIAR-CSI)

Format: GeoTIFFResolution: 100 mProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Coverage: Ukraine

These maps were prepared as part of the U_CAN – Ukraine towards Carbon Neutrality project, funded by the Horizon Europe Programme (Grant Agreement No. 101148374).
DOI: 10.15468/dl.upekkt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tryblionella levidensis W.Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063205-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15602960
title: Topographic Maps for the Territory of Ukraine at 1 km Resolution – Elevation (m) and Slope (degree)

description: This dataset provides topographic raster maps of elevation and slope for the territory of Ukraine, developed to support spatial analysis of solar photovoltaic (PV) suitability and broader terrain-based assessments.

The source data is the SRTM 90m Digital Elevation Model (DEM) from the CGIAR-CSI archive. The elevation values were resampled and processed as follows:





Elevation: aggregated to 100 m resolution using bilinear interpolation,




Slope: calculated from the original SRTM DEM and similarly resampled to 100 m resolution.



Both rasters were reprojected to EPSG:32636 (WGS 84 / UTM zone 36N) to ensure consistency with other geospatial layers used in the U_CAN project.

Original data source: SRTM 90m DEM (CGIAR-CSI)

Format: GeoTIFFResolution: 100 mProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Coverage: Ukraine

These maps were prepared as part of the U_CAN – Ukraine towards Carbon Neutrality project, funded by the Horizon Europe Programme (Grant Agreement No. 101148374).
DOI: 10.5281/zenodo.15602697
title: Climatic Maps for the Territory of Ukraine at 1 km Resolution (2015-2022 Average) – Global Horizontal Irradiance, Temperature >25 °C, Precipitation, and Wind Speed

description: This dataset provides a set of high-resolution climatic raster maps (1 km spatial resolution) for the territory of Ukraine, developed to support geospatial assessment of solar photovoltaic (PV) potential.

The data is derived from the ERA5-Land reanalysis dataset (Copernicus Climate Data Store), originally available at ~9 km resolution. The following variables were selected and processed for the period 2015–2022:





Global Horizontal Irradiance (GHI) – accumulated annual solar radiation,




Temperature above 25 °C – sum of hourly values exceeding 25 °C (proxy for potential PV performance loss),




Mean annual wind speed – derived from u/v components at 10 m height,




Total annual precipitation – rain and snow combined.



Original ERA5-Land data were aggregated for each year, then multi-year averages (2015-2022) were computed. All outputs were:





Resampled to 1 km resolution using bilinear interpolation,




Reprojected from native ERA5 coordinates to EPSG:32636 (WGS 84 / UTM zone 36N) for national consistency.



These climate layers were used as input to the land suitability analysis for solar energy deployment under the U_CAN – Ukraine towards Carbon Neutrality project (Horizon Europe, GA No. 101148374). 

Original data source: ERA5-Land (Copernicus CDS)

Coverage: UkraineTemporal coverage: 2015-2022 (annual average)Spatial resolution: 1 kmProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Format: GeoTIFF + QML (style files)
DOI: 10.5281/zenodo.15602698
title: Climatic Maps for the Territory of Ukraine at 1 km Resolution (2015-2022 Average) – Global Horizontal Irradiance, Temperature >25 °C, Precipitation, and Wind Speed

description: This dataset provides a set of high-resolution climatic raster maps (1 km spatial resolution) for the territory of Ukraine, developed to support geospatial assessment of solar photovoltaic (PV) potential.

The data is derived from the ERA5-Land reanalysis dataset (Copernicus Climate Data Store), originally available at ~9 km resolution. The following variables were selected and processed for the period 2015–2022:





Global Horizontal Irradiance (GHI) – accumulated annual solar radiation,




Temperature above 25 °C – sum of hourly values exceeding 25 °C (proxy for potential PV performance loss),




Mean annual wind speed – derived from u/v components at 10 m height,




Total annual precipitation – rain and snow combined.



Original ERA5-Land data were aggregated for each year, then multi-year averages (2015-2022) were computed. All outputs were:





Resampled to 1 km resolution using bilinear interpolation,




Reprojected from native ERA5 coordinates to EPSG:32636 (WGS 84 / UTM zone 36N) for national consistency.



These climate layers were used as input to the land suitability analysis for solar energy deployment under the U_CAN – Ukraine towards Carbon Neutrality project (Horizon Europe, GA No. 101148374). 

Original data source: ERA5-Land (Copernicus CDS)

Coverage: UkraineTemporal coverage: 2015-2022 (annual average)Spatial resolution: 1 kmProjection: EPSG:32636 (WGS 84 / UTM zone 36N)Format: GeoTIFF + QML (style files)
DOI: 10.15468/dl.hn9mme
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tryblionella levidensis W.Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063207-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f2gtee
title: Occurrence Download

description: A dataset containing 358 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 Potentilla multifida",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 358 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005947-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.parcnw
title: Occurrence Download

description: A dataset containing 87215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-5.49591 37.73347,-5.49591 37.73347,-6.04531 37.5899,-6.55738 36.71413,-6.05065 36.03557,-5.56525 35.91038,-5.15453 36.27245,-5.02652 36.35841,-4.73848 36.42711,-4.4291 36.56004,-4.24775 36.61144,-4.03439 36.67135,-5.49591 37.73347))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 87215 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005916-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aga8986
title: Overview of Barcode Index Number - BOLD:AGA8986

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.7910/dvn/az6ujl
title: Paolo Fabiani - Critical Thinking and AI

description: This dataset has been designed to support the study and application of Critical Thinking Engineering as a conceptual and practical framework for integrating artificial intelligence (AI) into human cognitive processes. The primary objective of the dataset is to provide examples, annotations, and structured prompts that illustrate how AI can act as a cognitive mirror—amplifying analytical and creative reasoning while also exposing potential cognitive biases.
The nature of the dataset is both educational and experimental. It includes samples of human-AI interactions, reasoning chains, and comparative outputs, enabling researchers and educators to analyze the difference between the product (AI-generated output) and the process (human cognitive elaboration).
The purpose is to facilitate the development of tools and methodologies that proceduralize core reasoning habits—such as source evaluation, bias recognition, and argument analysis—thereby freeing cognitive resources for higher-order creativity and critical reflection. This dataset aims to foster metareflection and promote digital ethical literacy, ensuring that AI systems are used to enhance, rather than diminish, human intelligence.
DOI: 10.15468/dl.xdwupr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula nivea",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005949-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psrtdc
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula nivea",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 238 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005950-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aau7925
title: Overview of Barcode Index Number - BOLD:AAU7925

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.8v6htp
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula nivea",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005948-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aff9775
title: Overview of Barcode Index Number - BOLD:AFF9775

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.xk53vf
title: Occurrence Download

description: A dataset containing 91395 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rana arvalis"
 ]
}

 The dataset includes 91395 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005891-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bfgbp
title: Occurrence Download

description: A dataset containing 1648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus ornatus"
 ]
}

 The dataset includes 1648 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005951-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dktjvs
title: Occurrence Download

description: A dataset containing 1138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clerodendrum quadriloculare",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1138 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005953-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76mjd2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gaudinia hispanica)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005952-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17177975
title: A First-Principles Explanation of the Flyby Anomaly via a Biphasic Background Medium Model

description: This paper proposes a novel physical model that treats spacetime as a **Biphasic Background Medium (BGD medium)**, composed of repulsive ($F^+$) and attractive ($F^-$) fluid-like components.

Based on this model, it is demonstrated that the long-standing **Flyby Anomaly** can be uniformly explained as a linear combination of two fundamental hydrodynamic responses:1.  A **"polarization effect"** ($K_1$ term), related to the compression of the medium.2.  A **"vortex generation effect"** ($K_2$ term), related to the medium's interaction with a rotating body.

A core tenet of this theory is that the two universal coefficients governing the model are not fitting parameters but are **derived from first principles**. They incorporate:- The gravitational potential from General Relativity.- The geometric constant $\pi$.- The celestial body’s rotational velocity and internal structure.

The theory successfully reproduces the observed data from **ten major spacecraft flybys**—including the deceleration of Galileo II and multiple null results from Rosetta—with a high degree of precision, achieving a Root Mean Square Error (RMSE) of **0.3190 mm/s**.

This result strongly suggests that the Flyby Anomaly is a direct manifestation of the **dynamic nature of spacetime**. The full paper and the Python simulation code used to produce these results are included in the files below.
DOI: 10.15468/dl.zgqk2c
title: Occurrence Download

description: A dataset containing 64920 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Solanum elaeagnifolium)"
 ]
}

 The dataset includes 64920 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005923-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.