cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16264293
title: PerRec and CEEPS CAIRT scenario data

description: This data set contains a consistent atmospheric state, temporally and spatially highly resolved, covering the timeframe from 2019-02-18T00:00 to 2019-02-18T01:30 to examine and validate the capabilities of the EE11 candidate mission CAIRT.

It is large resolved from a high-resolution WACCM run, which was with great care temporally downsampled in agreement with variability of the species to make it as small as possible. To fill in missing quantities and as reference, high resolution data provided from ECMWF analysis and CAMS analysis data is provided as well for the midnight time step.
DOI: 10.5281/zenodo.16264294
title: PerRec and CEEPS CAIRT scenario data

description: This data set contains a consistent atmospheric state, temporally and spatially highly resolved, covering the timeframe from 2019-02-18T00:00 to 2019-02-18T01:30 to examine and validate the capabilities of the EE11 candidate mission CAIRT.

It is large resolved from a high-resolution WACCM run, which was with great care temporally downsampled in agreement with variability of the species to make it as small as possible. To fill in missing quantities and as reference, high resolution data provided from ECMWF analysis and CAMS analysis data is provided as well for the midnight time step.
DOI: 10.15468/dl.g3rt69
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Copadichromis pleurostigmoides)",
 "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 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018136-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wkd7h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litopenaeus vannamei",
 "Country is Saint Kitts and Nevis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018139-250914085247600/datasets/export for details.
DOI: 10.15468/dl.6npf7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litopenaeus vannamei",
 "Country is Myanmar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018138-250914085247600/datasets/export for details.
DOI: 10.5281/zenodo.17158083
title: Initial scour processes under flow separation downstream of the lee side of high-angle dunes
DOI: 10.5281/zenodo.17158084
title: Initial scour processes under flow separation downstream of the lee side of high-angle dunes
DOI: 10.15468/dl.enrefr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litopenaeus vannamei",
 "Country is Thailand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018140-250914085247600/datasets/export for details.
DOI: 10.15468/dl.pu7c4t
title: Occurrence Download

description: A dataset containing 51635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Falco naumanni",
 "Year 1000-2025"
 ]
}

 The dataset includes 51635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018091-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6s3th8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Choromytilus palliopunctatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018141-250914085247600/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.30164368
title: Anonymised Dataset on Overconfidence Biases in Social Prediction Tasks Among Young Decision Makers

description: This dataset was collected as part of an experimental study examining overconfidence biases—specifically overestimation, overplacement, and miscalibration—among university students during a social prediction task. Participants were asked to estimate the likelihood of their own and their peers’ success in a music-related guessing activity. The data include coded responses in both Excel and SPSS formats and have been fully anonymised.
DOI: 10.6084/m9.figshare.30164368.v1
title: Anonymised Dataset on Overconfidence Biases in Social Prediction Tasks Among Young Decision Makers

description: This dataset was collected as part of an experimental study examining overconfidence biases—specifically overestimation, overplacement, and miscalibration—among university students during a social prediction task. Participants were asked to estimate the likelihood of their own and their peers’ success in a music-related guessing activity. The data include coded responses in both Excel and SPSS formats and have been fully anonymised.
DOI: 10.5281/zenodo.17157416
title: Observations of electric fields sounding in the mature stage of a thunderstorm

description: In the summer of 2021, observations of balloon-borne electric field within thunderstorms were conducted in Nanchang City, Jiangxi Province, China. On 24 August, two electric field profiles were obtained during the mature stage of a local thunderstorm in Nanchang City, Jiangxi Province, China. The initial sounding (S1) and subsequent sounding (S2) were initiated with a 6 mins interval. However, S1 entered the weak echo region from the leading edge of the thunderstorm and entered the 30 dBZ region at an altitude of 6 km, while the second sounding (S2) entered from the cloud base and entered the strong echo region at approximately 0°C. At altitudes more than 6 km, the observations were synchronized (with a horizontal distance of 3-4 km). The results showed that two sounding balloons traversed a total of eight and eleven charge regions for S1 and S2, respectively, and the predominant charge regions conformed to the tripole charge structure. The synchronized observations above 6km indicated that the distribution of charge regions within the thunderstorm indeed exhibits horizontal inhomogeneity. In addition, an anomalous negative charge region was identified in the upper portion of the thunderstorm, with a depth ranging from 2.3 to 2.7 km, which is larger than the normal negative screening layer. It is notable that a pair of charges with negative upper and positive lower charges is observed at 8.5 and 10 km, which is difficult to explain reasonably using non-inductive charging mechanisms. This indicates the complexity of the formation of charge region within clouds.
DOI: 10.5281/zenodo.17157417
title: Observations of electric fields sounding in the mature stage of a thunderstorm

description: In the summer of 2021, observations of balloon-borne electric field within thunderstorms were conducted in Nanchang City, Jiangxi Province, China. On 24 August, two electric field profiles were obtained during the mature stage of a local thunderstorm in Nanchang City, Jiangxi Province, China. The initial sounding (S1) and subsequent sounding (S2) were initiated with a 6 mins interval. However, S1 entered the weak echo region from the leading edge of the thunderstorm and entered the 30 dBZ region at an altitude of 6 km, while the second sounding (S2) entered from the cloud base and entered the strong echo region at approximately 0°C. At altitudes more than 6 km, the observations were synchronized (with a horizontal distance of 3-4 km). The results showed that two sounding balloons traversed a total of eight and eleven charge regions for S1 and S2, respectively, and the predominant charge regions conformed to the tripole charge structure. The synchronized observations above 6km indicated that the distribution of charge regions within the thunderstorm indeed exhibits horizontal inhomogeneity. In addition, an anomalous negative charge region was identified in the upper portion of the thunderstorm, with a depth ranging from 2.3 to 2.7 km, which is larger than the normal negative screening layer. It is notable that a pair of charges with negative upper and positive lower charges is observed at 8.5 and 10 km, which is difficult to explain reasonably using non-inductive charging mechanisms. This indicates the complexity of the formation of charge region within clouds.
DOI: 10.5281/zenodo.17157249
title: Dataset for "Oblique Migration of Megaripples in Qaidam Basin, China"

description: Cross-sectional morphology data in Figure 1c; Grain size data of megaripples in Lenghu in Figure 2; Morphological parameters data of megaripples in Lenghu and Mars in Figure S2.
DOI: 10.5281/zenodo.17157250
title: Dataset for "Oblique Migration of Megaripples in Qaidam Basin, China"

description: Cross-sectional morphology data in Figure 1c; Grain size data of megaripples in Lenghu in Figure 2; Morphological parameters data of megaripples in Lenghu and Mars in Figure S2.
DOI: 10.5281/zenodo.17127151
title: Laboratory Topo-Bathymetric Dataset on Sand-Gravel Beach Morphodynamics - PhD Léo Pancrazzi

description: This dataset was generated from wave flume experiments conducted at the M2C laboratory (Caen, France), designed to investigate sediment transport and beach profile evolution in composite and mixed sand-and-gravel beach environments. Topo-bathymetric profiles were acquired using a SICK-DT500 laser sensor (SICK, Germany) under a range of controlled hydrodynamic conditions and sediment configurations.

The shared dataset represents a curated subset of the full experimental archive, including beach profiles composed of both coarse-grained and mixed sediments. All experiments employed a low-density plastic analogue to simulate sediment particles, selected specifically to enable dynamic downscaling of natural processes within the laboratory setting. Only measurements deemed accurate and internally consistent following quality checks are included. Due to unresolved inconsistencies in portions of the raw data, the complete dataset is not provided.

The dataset includes:



Topographic Data: Raw topo-bathymetric measurements acquired with a SICK-DT500 laser sensor (SICK, Germany), organized by experiment and water level condition. Each file name encodes the experiment ID, duration, water level, profile ID, and date.

Photographic Documentation: Side-view images of the wave flume showing beach profile evolution during the progressive addition of fine particles to a coarse-grained beach. Each image panel includes annotated experimental parameters.

Python Scripts: A set of scripts for processing and visualizing the beach profiles. LDM_process.py converts raw laser data into elevation profiles, while the comparison scripts visualize morphological changes between coarse and mixed sediment configurations.

Environment Specification: A conda environment file to ensure reproducibility of data processing and visualization workflows.

Output Figures: SVG-format figures comparing beach profiles across experimental conditions



This dataset supports a manuscript currently under review in Geomorphica, which presents the experimental design and broader scientific context of the work.

Funding:This dataset was produced within the doctoral work of L. Pancrazzi, funded by the French Ministry of Higher Education, Research and Innovation.
DOI: 10.5281/zenodo.17127152
title: Laboratory Topo-Bathymetric Dataset on Sand-Gravel Beach Morphodynamics - PhD Léo Pancrazzi

description: This dataset was generated from wave flume experiments conducted at the M2C laboratory (Caen, France), designed to investigate sediment transport and beach profile evolution in composite and mixed sand-and-gravel beach environments. Topo-bathymetric profiles were acquired using a SICK-DT500 laser sensor (SICK, Germany) under a range of controlled hydrodynamic conditions and sediment configurations.

The shared dataset represents a curated subset of the full experimental archive, including beach profiles composed of both coarse-grained and mixed sediments. All experiments employed a low-density plastic analogue to simulate sediment particles, selected specifically to enable dynamic downscaling of natural processes within the laboratory setting. Only measurements deemed accurate and internally consistent following quality checks are included. Due to unresolved inconsistencies in portions of the raw data, the complete dataset is not provided.

The dataset includes:



Topographic Data: Raw topo-bathymetric measurements acquired with a SICK-DT500 laser sensor (SICK, Germany), organized by experiment and water level condition. Each file name encodes the experiment ID, duration, water level, profile ID, and date.

Photographic Documentation: Side-view images of the wave flume showing beach profile evolution during the progressive addition of fine particles to a coarse-grained beach. Each image panel includes annotated experimental parameters.

Python Scripts: A set of scripts for processing and visualizing the beach profiles. LDM_process.py converts raw laser data into elevation profiles, while the comparison scripts visualize morphological changes between coarse and mixed sediment configurations.

Environment Specification: A conda environment file to ensure reproducibility of data processing and visualization workflows.

Output Figures: SVG-format figures comparing beach profiles across experimental conditions



This dataset supports a manuscript currently under review in Geomorphica, which presents the experimental design and broader scientific context of the work.

Funding:This dataset was produced within the doctoral work of L. Pancrazzi, funded by the French Ministry of Higher Education, Research and Innovation.
DOI: 10.6084/m9.figshare.29133725
title: <b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>

description: The source codes that support the paper '<b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>'This program provides the implementation of our MFDA as described in our paper. This method automatically extracts candidate thematic terms from large-scale geoscientific literature using pre-trained language models, and then leverages MFDA to identify inheritance or extension relationships with existing entities, thereby enabling dynamic and incremental updates of the ESSKG.Specific details can be found at supplementary instruction.txt
DOI: 10.6084/m9.figshare.29133725.v3
title: <b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>

description: The source codes that support the paper '<b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>'This program provides the implementation of our MFDA as described in our paper. This method automatically extracts candidate thematic terms from large-scale geoscientific literature using pre-trained language models, and then leverages MFDA to identify inheritance or extension relationships with existing entities, thereby enabling dynamic and incremental updates of the ESSKG.Specific details can be found at supplementary instruction.txt
DOI: 10.6084/m9.figshare.29133725.v4
title: <b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>

description: The source codes that support the paper '<b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>'This program provides the implementation of our MFDA as described in our paper. This method automatically extracts candidate thematic terms from large-scale geoscientific literature using pre-trained language models, and then leverages MFDA to identify inheritance or extension relationships with existing entities, thereby enabling dynamic and incremental updates of the ESSKG.Specific details can be found at supplementary instruction.txt
DOI: 10.15468/dl.gzgdmb
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centromochlus heckelii)",
 "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 251 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018145-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gkpu6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litopenaeus vannamei",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018144-250914085247600/datasets/export for details.
DOI: 10.15468/dl.bdu6sw
title: Occurrence Download

description: A dataset containing 6358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.81963497136279 48.16206806969234, 16.94845647866046 48.1540070003425, 16.96041923704268 48.24082435323947, 16.8313792299447 48.24890138249879, 16.81963497136279 48.16206806969234))"
 ]
}

 The dataset includes 6358 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018146-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6hesr
title: Occurrence Download

description: A dataset containing 2954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "GadmGid is KOR.12.1_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 2954 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018148-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w6sqa
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crenomytilus grayanus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018149-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11109138
title: Basic-ECVs for Case Studies (maps)

description: Climate maps (raster layers .tif) of basic-ecvs with a spatial resolution of 5.5 km (1 km for Azores) obtained by statistically downscaling a set of CMIP6 simulations for different IPCC climate scenarios (historical, SSP1-2.6, SSP2-4.5, SSP5-8.5) and time horizons (reference, short time-horizon, medium time-horizon, long time-horizon). Data are representative of specific climate normals (yearly averaged values) and created by RethinkAction project.

We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.

Moreover, we acknowledge the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) to provide access to CMIP6, CERRA, ERA5 and ERA5-Land data:



Copernicus Climate Change Service, Climate Data Store, (2021): CMIP6 climate projections. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.c866074c.

Schimanke S., Ridal M., Le Moigne P., Berggren L., Undén P., Randriamampianina R., Andrea U., Bazile E., Bertelsen A., Brousseau P., Dahlgren P., Edvinsson L., El Said A., Glinton M., Hopsch S., Isaksson L., Mladek R., Olsson E., Verrelle A., Wang Z.Q., (2021): CERRA sub-daily regional reanalysis data for Europe on single levels from 1984 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.622a565a

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D.,Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.adbb2d47 

Muñoz Sabater, J. (2019): ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.e2161bac 


Acknowledgement also to: 



DRAAC, 2023, Regional climate data provided by the Regional Ditectorate for the Environment and Climate Change of the Regional Autonomous Government of Azores (https://portal.azores.gov.pt/en/web/draac)

SRAA\CCIAM, 2017. Programa Regional de Alterações Climáticas (PRAC), Secretaria Regional do Ambiente e Ação Climática (SRAA) of the Governo dos Açores, Climate Change Impacts, Adaptation and Modelling (CCIAM) of the Faculdade de Ciências da Universidade de Lisboa (FCUL), https://snig.dgterritorio.gov.pt/rndg/srv/por/catalog.search#/metadata/8804acd9-9d0f-40fb-bc2e-e4dff8c2b4b1


 

This v2 includes metadata.