cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.or8g4x
title: Occurrence Download

description: A dataset containing 1466663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is Peru",
 "Country is Ecuador"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1466663 records from 662 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003950-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/eca-726acb8
title: EarthCARE ATLID CTH Level 2A

description: EarthCARE ATLID CTH Level 2A baseline BC
DOI: 10.15468/dl.ueynae
title: Occurrence Download

description: A dataset containing 19847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.2_1",
 "Month is one of (July, August, September, October, November)",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 19847 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014162-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17750604
title: Test Data for Occlusion Mapping Tool OccPy

description: Dataset to test the occlusion mapping tool OccPy available here. Data acquired using mobile (MLS), terrestrial (TLS), and drone-based (ULS) laser scanning from a temperate forest close to Zurich Switzerland are provided. Data has been greatly filtered and subsampled to reduce data size to be used in tutorials and package testing.

We suggest to use this data for the following bounding box, as also used in the tutorial notebooks found in the code repository:  

min_x: 2676515min_y: 1246063min_z: 545max_x: 2676525max_y: 1246113max_z: 590

TLS data was acquired using a Riegl VZ400i under leaf-off conditions in winter 2023

MLS data was acquired using a GeoSLAM ZebHorizon handheld scannin under leaf-on conditions in summer 2025

ULS data was acquired using a Riegl miniVUX-3 mounted on a DJI Matrice M600pro under leaf-on conditions in summer 2024

Both point clouds (.laz) and scan position or trajectory information are provided. Additionally a reference digital terrain (DTM) and surface (DSM) model are provided.
DOI: 10.15468/dl.sq9mc4
title: Occurrence Download

description: A dataset containing 19847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.2_1",
 "Month is one of (July, August, September, October, November)",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 19847 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014163-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p52gn7
title: Occurrence Download

description: A dataset containing 1901 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de especies registradas en el Herbario ICAI"
 ]
}

 The dataset includes 1901 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014164-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14507444
title: Polar vortex mask based on the Nash criterion

description: These data provide a cumulative polar vortex mask for the Northern hemisphere between 2000-2024. The mask describes on how many potential temperature layers the polar vortex is detected on. Here the mask is based on six potential temperature levels between 395 K and 700 K.

The polar vortex is a 3D structure and therefore the categorization of a point on the surface to be 'inside the vortex' is not well defined. We recommend using a threshold of 'mask>=3' to categorize a point as inside the vortex for this file.The polar vortex detection is based on the Nash criterion (DOI: 10.1029/96JD00066). This dataset is provided as a supplement to 'Reduction of airmass-dependent biases in TCCON XCH retrievals during polar vortex conditions' (DOI: 10.5194/amt-18-7105-2025), which describes the algorithm used to generate this data.
DOI: 10.5281/zenodo.14507445
title: Polar vortex mask based on the Nash criterion

description: These data provide a cumulative polar vortex mask for the Northern hemisphere between 2000-2024. The mask describes on how many potential temperature layers the polar vortex is detected on. Here the mask is based on six potential temperature levels between 395 K and 700 K.

The polar vortex is a 3D structure and therefore the categorization of a point on the surface to be 'inside the vortex' is not well defined. We recommend using a threshold of 'mask>=3' to categorize a point as inside the vortex for this file.The polar vortex detection is based on the Nash criterion (DOI: 10.1029/96JD00066). This dataset is provided as a supplement to 'Reduction of airmass-dependent biases in TCCON XCH retrievals during polar vortex conditions' (DOI: 10.5194/amt-18-7105-2025), which describes the algorithm used to generate this data.
DOI: 10.15468/dl.hz5cnf
title: Occurrence Download

description: A dataset containing 1253826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 1253826 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014132-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-c-000787830
title: Data accompanying "Quantifying the Rapid Propagation of Rainfall and Evapotranspiration Signals into Soils"

description: This data collection accompanies the study "Quantifying the Rapid Propagation of Rainfall and Evapotranspiration Signals into Soils" by Gao et al. (see related publication). It contains volumetric soil moisture data from the SwissSMEX station Chamau (CHM), as well as data on precipitation, latent heat flux, air temperature, and volumetric soil moisture (SwissSMEX profile) from the Rietholzbach research station. Compulsory reference when using SwissSMEX data: Mittelbach, H., and S.I. Seneviratne 2012: A new perspective on the spatio-temporal variability of soil moisture: Temporal dynamics versus time invariant contributions. Hydrology and Earth System Sciences, 16, 2169–2179, doi:10.5194/hess-16-2169-2012. Compulsory references when using Rietholzbach data: Seneviratne, S.I. et al. (2012). Swiss prealpine Rietholzbach research catchment and lysimeter: 32 year time series and 2003 drought event. Water Resources Research, 48(6):W06526, doi:10.1029/2011WR011749. Hirschi, M., Michel, D., Lehner, I., and Seneviratne, S. I. (2017). A site-level comparison of lysimeter and eddy covariance flux measurements of evapotranspiration. Hydrology and Earth System Sciences, 21, 1809-1825, doi:10.5194/hess-21-1809-2017. And for the eddy covariance data in addition: Michel, D. and Seneviratne, S. I. (2022). Multi-year eddy-covariance measurements at a pre-alpine humid grassland site: Dataset overview, drought responses, and effects of land management. Agricultural and Forest Meteorology, 326, doi:10.1016/j.agrformet.2022.109166.
DOI: 10.48510/fk2/hzsu5z
title: PROMPT Codebook

description: The PROMPT Codebook is a comprehensive framework for the systematic analysis of disinformation narratives, techniques, and rhetorical strategies across digital media. Developed as part of the PROMPT – AI-Driven Methods for Disinformation Detection and Contextualisation project, the codebook provides a detailed categorisation system encompassing 31 code groups and more than 240 specific codes.

It integrates interdisciplinary insights from media and communication studies, linguistics, rhetoric, and semantics, enabling both human and AI-assisted detection of disinformation patterns. The codebook includes categories for narratives, argumentation, verifiability, facticity, manipulation techniques, rhetorical figures, ideological orientation, and linguistic forms.

Designed for application across multilingual and multimodal datasets, the PROMPT Codebook supports AI-driven analysis using Large Language Models (LLMs) to identify subtle linguistic and rhetorical markers of disinformation. It serves as a foundation for comparative studies across six European countries (Latvia, Lithuania, Estonia, Romania, Italy, and France) and is intended to enhance research, media literacy, and democratic resilience against information manipulation.

The PROMPT Codebook (Short Version) provides a structured framework for analysing disinformation across digital media. It organises 16 main categories and 220 subcategories covering narratives, argumentation patterns, facticity, verifiability, manipulation techniques, rhetorical strategies, ideological cues, and linguistic forms. Developed within the PROMPT project, the codebook integrates insights from media studies, linguistics, and rhetoric to support both human and AI-driven identification of disinformation. Designed for multilingual and multimodal data, it enables systematic detection of linguistic and rhetorical markers across diverse online environments and supports comparative analysis across multiple European contexts.
DOI: 10.5517/ccdc.csd.cc2d36yp
title: CCDC 2207632: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d36zq
title: CCDC 2207633: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d370s
title: CCDC 2207634: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d371t
title: CCDC 2207635: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d372v
title: CCDC 2207636: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d373w
title: CCDC 2207637: Experimental Crystal Structure Determination

description: Related Article: Cui‐Mi Shi, Hong‐Li Xuan, Yue Wu, Liang‐Jin Xu, Zhong‐Ning Chen|2023|Adv. Opt. Mater.|11|2202376|doi:10.1002/adom.202202376
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17735715
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17735714
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.w9m7zc
title: Occurrence Download

description: A dataset containing 17414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Leccinum versipelle",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17414 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014165-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17736856
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17736855
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17736996
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17736995
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17737476
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17737477
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17740608
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2m, Global model CanESM5 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17740607
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 2m, Global model CanESM5 -  The Metropolitan City of Turin (CMTo, Italy)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.21227/rn06-dw82
title: "Synchronisation Word Selection for the IQRF Standard - Simulation and Measurement\u00a0Dataset"

description: "This dataset contains raw detector logs from a laboratory measurement campaign using Texas Instruments FSK receivers, along with self-contained MATLAB scripts that reproduce the analytical and simulation figures (miss probability curves, inter-arrival distributions, autocorrelation, Hamming profiles, cross-correlation, and AWGN verification plots). This dataset can be used for prototyping an own communication standard based on the IQRF communication standard in the 2.4GHz ISM band."
DOI: 10.15468/dl.y2p8cd
title: Occurrence Download

description: A dataset containing 1349 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyto alba alba"
 ]
}

 The dataset includes 1349 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014169-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15733407
title: DESpace2: detection of differential spatial patterns in spatial omics data - Supporting Data

description: This Zenodo record contains the necessary input data to reproduce the figures and tables in the manuscript "DESpace2: Detection of Differential Spatial Patterns in Spatial Omics Data".

- ARTISTA_real_analyses: contains gene sets used in the tables of the manuscript.- Sensitivity_analyses: contains processed results for sensitivity analyses using the ARTISTA simulation dataset.- Simulation_analyses: contains processed results for all methods using Banksy or BayesSpace clusters (for the ARTISTA and LIBD dataset, respectively). The suffixes `_main` and `_individual` refer to global and individual domain test, respectively. `highly_abundant` or `lowly_abundant` indicate scenarios in which randomly selected spatial domains show higher or lower abundance relative to the rest of the tissue.

The corresponding scripts are available in the ./Figures folder of the following GitHub repository: https://github.com/peicai/DESpace2_manuscript/.
DOI: 10.5281/zenodo.17750644
title: DESpace2: detection of differential spatial patterns in spatial omics data - Supporting Data

description: This Zenodo record contains the necessary input data to reproduce the figures and tables in the manuscript "DESpace2: Detection of Differential Spatial Patterns in Spatial Omics Data".

- ARTISTA_real_analyses: contains gene sets used in the tables of the manuscript.- Sensitivity_analyses: contains processed results for sensitivity analyses using the ARTISTA simulation dataset.- Simulation_analyses: contains processed results for all methods using Banksy or BayesSpace clusters (for the ARTISTA and LIBD dataset, respectively). The suffixes `_main` and `_individual` refer to global and individual domain test, respectively. `highly_abundant` or `lowly_abundant` indicate scenarios in which randomly selected spatial domains show higher or lower abundance relative to the rest of the tissue.

The corresponding scripts are available in the ./Figures folder of the following GitHub repository: https://github.com/peicai/DESpace2_manuscript/.
DOI: 10.34740/kaggle/ds/8862502
title: BRACS-WSI-Group-BT-Type-PB-02