cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29400650.v2
title: Dataset for the "contrail, or not contrail" paper

description: This folder contains the datasets associated with the paper: <b>Contrail, or not contrail, that is the question: the “feasibility” of climate-optimal routing</b>.All scripts and code are maintained separately at: https://github.com/junzis/contrail-or-notCheck the paper for more details: https://arxiv.org/abs/2504.13907OverviewThe datasets provided here support the analysis in the paper on optimizing flight trajectories to reduce contrail formation. The data include:Meteorological cost grids (ARPEGE and ERA5)Flight trajectory data (raw and processed)Aircraft databaseIntermediate data and summary statisticsContentsThe data directory is structured as follows:`arpege/`: Meteorological data (ARPEGE model)`cache/`: Intermediate or cached data used in occupancy calculation`eu_flights_2022feb20_raw.parquet.gz`: Raw flight data for the day`eu_flights_2022feb20_filter_resample_meteo.parquet.gz`: Processed flights from raw data, filtered, resampled, and aggregated with meteorological data`grid_arpege_smoothed.parquet.gz`: Smoothed ARPEGE meteorological grid`grid_era5_smoothed.parquet.gz`: Smoothed ERA5 meteorological grid`aircraft_db.csv`: Aircraft database with ICAO address, aircraft type code, registration, and operator`europe_acc.txt`: European airspace/airport information`stats_results.csv`: Summary statistics and resultsUsageFor code and scripts, please refer to the main project repository: https://github.com/junzis/contrail-or-notDownload the data files and store them in the `data` directory of the project
DOI: 10.6084/m9.figshare.29400650.v1
title: Dataset for the "contrail, or not contrail" paper

description: This folder contains the datasets associated with the paper: <b>Contrail, or not contrail, that is the question: the “feasibility” of climate-optimal routing</b>.All scripts and code are maintained separately at: https://github.com/junzis/contrail-or-notCheck the paper for more details: https://arxiv.org/abs/2504.13907OverviewThe datasets provided here support the analysis in the paper on optimizing flight trajectories to reduce contrail formation. The data include:Meteorological cost grids (ARPEGE and ERA5)Flight trajectory data (raw and processed)Aircraft databaseIntermediate data and summary statisticsContentsThe data directory is structured as follows:`arpege/`: Meteorological data (ARPEGE model)`cache/`: Intermediate or cached data used in occupancy calculation`eu_flights_2022feb20_raw.parquet.gz`: Raw flight data for the day`eu_flights_2022feb20_filter_resample_meteo.parquet.gz`: Processed flights from raw data, filtered, resampled, and aggregated with meteorological data`grid_arpege_smoothed.parquet.gz`: Smoothed ARPEGE meteorological grid`grid_era5_smoothed.parquet.gz`: Smoothed ERA5 meteorological grid`aircraft_db.csv`: Aircraft database with ICAO address, aircraft type code, registration, and operator`europe_acc.txt`: European airspace/airport information`stats_results.csv`: Summary statistics and resultsUsageFor code and scripts, please refer to the main project repository: https://github.com/junzis/contrail-or-notDownload the data files and store them in the `data` directory of the project
DOI: 10.15468/dl.snjvgd
title: Occurrence Download

description: A dataset containing 2788744 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is European Seabirds At Sea (ESAS)"
 ]
}

 The dataset includes 2788744 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068612-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6396504
title: dna-seq-varlociraptor calls from WGGC sequencing of NA12878

description: BCF file with FDR-controlled Varlociraptor based variant calls present in NA12878.
DOI: 10.5281/zenodo.6396505
title: dna-seq-varlociraptor calls from WGGC sequencing of NA12878

description: BCF file with FDR-controlled Varlociraptor based variant calls present in NA12878.
DOI: 10.5281/zenodo.15736755
title: Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention

description: This dataset accompanies our paper "Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention", in which we present a novel machine-learning pipeline for estimating galaxy redshifts and physical properties from photometry. The dataset, curated as a general test case not specifically tailored to Euclid, was used as Test Case 0 in the paper. It contains deep multi-band photometry and physical properties. In the interest of open science and reproducibility, we share it here as a (zipped ) machine-readable .pq parquet file. 

It is derived from the publicly-available COSMOS 2015 catalogue (Laigle et al. 2016, ApJS, 224, 24). 

For further information please see our preprint and our GitHub repo.
DOI: 10.5281/zenodo.15736757
title: Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention

description: This dataset accompanies our paper "Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention", in which we present a novel machine-learning pipeline for estimating galaxy redshifts and physical properties from photometry. The dataset, curated as a general test case not specifically tailored to Euclid, was used as Test Case 0 in the paper. It contains deep multi-band photometry and physical properties. In the interest of open science and reproducibility, we share it here as a (zipped ) machine-readable .pq parquet file. 

It is derived from the publicly-available COSMOS 2015 catalogue (Laigle et al. 2016, ApJS, 224, 24). 

For further information please see our preprint and our GitHub repo.
DOI: 10.5066/p9xydhfz
title: Sedimentologic Data from Point aux Chenes Marsh and Estuary, Mississippi

description: Sediment samples, including marsh and estuarine surface samples and marsh push and peat-auger cores, were collected from Point aux Chenes, Mississippi from October 23–26, 2018, and August 4, 2021. Marsh surface samples (top 1 centimeter (cm) of sediment; sample names appended with S), marsh push cores (core names appended with M) and peat-auger cores (core names appended with R) were collected along 50-meter (m) shore perpendicular transects identified as sites 5, 6, 7, and 9. All samples in the dataset are referred to by alternate field activity number (FAN) 18CCT09 (FAN 2018-358-FA) or alternate FAN 21CCT02 (FAN 2021-320-FA). Estuarine Ponar grab samples (sample names appended with G), marsh surface samples, and push cores were collected and brought back for sedimentological analyses including dry bulk density, organic content, grain-size for the development of a sedimentological baseline, and gamma spectroscopy for the development of geochronologies. Peat augers were described for depth to peat and discarded in the field. Marsh and estuarine surface and core sediment samples were collected by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center's (SPCMSC) to study how and where short- and long-term marsh and estuarine coastal process interact in order to identify and evaluate geologic and geomorphic variables influences on marshes and their resiliency under different storm and sea-level scenarios, determine marsh-upland boundary change rates, and sediment accumulation and erosion rates.

Note: This data release was revised on August 2, 2021 (version 1.0), versioned on August 23, 2023 (version 2.0), and June 24, 2025 (version 3.0). Please see the Suggested Citation section on the data release webpage for more details.
DOI: 10.15468/dl.3bd7mx
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia modestiflora Kurz"
 ]
}

 The dataset includes 115 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068618-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/fd-a8f45d87-0483-32be-8ba7-f18c4dd8d6ab
title: Dataset of a short simulated nature experience
title: Simuloidusta luontokokemuksesta kerätty tutkimusaineisto

description: The purpose of the study was to determine whether a virtual nature experience helps in recovering from cognitive load and stress. Cognitive load and stress were induced in volunteer participants using a fast-paced arithmetic task, after which they participated in either a virtual nature scenario or a control scenario. Recovery from the load and stress was measured using subjective, cognitive, and physiological indicators (skin conductance, heart rate variability, EEG)
description: Tutkimuksen tarkoituksena oli selvittää, auttaako virtuaaliluontoelämys palautumaan kognitiivisesta kuormituksesta ja stressistä. Vapaaehtoisille koehenkilöille indusoitiin kognitiivista kuormitusta ja stressiä nopeatempoisella aritmeettisella tehtävällä, jonka jälkeen he osallistuivat joko virtuaaliluontotilanteeseen tai kontrollitilanteeseen. Kuormituksesta ja stressistä elpymistä mitattiin subjektiivisilla, kognitiivisilla, ja fysiologisilla (ihon sähkönjohtokyky, sykevaihtelu, EEG) mittareilla.
DOI: 10.15468/dl.nvwuq8
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068619-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8394
title: QUANTHEM. Data for the asymmetry dynamics of random quantum circuits. Version 1

description: The dataset contains data generated in the framework of Horizon Europe ERC QUANTHEM project. The data were the result of numerical computations. The data represent the simulated dynamics of entanglement asymmetry under random quantum circuits with diferent geometric connectivity.
The data are presented in the pre-print:
F. Ares, S. Murciano, P. Calabrese, and L. Piroli, Entanglement Asymmetry Dynamics in
Random Quantum Circuits, arXiv:2501.12459 (2025)
DOI: 10.5281/zenodo.15727877
title: planet_reference/Exoplanets

description: PlanetS catalogue of confirmed exoplanets, with data on mass, radius, etc.

Taken from https://dace.unige.ch/exoplanets/ and converted to CSV by Harrison Nicholls.

This publication makes use of The Data & Analysis Center for Exoplanets (DACE), which is a facility based at the University of Geneva (CH) dedicated to extrasolar planets data visualisation, exchange and analysis. DACE is a platform of the Swiss National Centre of Competence in Research (NCCR) PlanetS, federating the Swiss expertise in Exoplanet research. The DACE platform is available at https://dace.unige.ch.
DOI: 10.5281/zenodo.15727878
title: planet_reference/Exoplanets

description: PlanetS catalogue of confirmed exoplanets, with data on mass, radius, etc.

Taken from https://dace.unige.ch/exoplanets/ and converted to CSV by Harrison Nicholls.

This publication makes use of The Data & Analysis Center for Exoplanets (DACE), which is a facility based at the University of Geneva (CH) dedicated to extrasolar planets data visualisation, exchange and analysis. DACE is a platform of the Swiss National Centre of Competence in Research (NCCR) PlanetS, federating the Swiss expertise in Exoplanet research. The DACE platform is available at https://dace.unige.ch.
DOI: 10.15468/dl.tkahne
title: Occurrence Download

description: A dataset containing 26625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Gallirallus australis (Sparrman, 1786)"
 ]
}

 The dataset includes 26625 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068620-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hayeva
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Strigops habroptila G.R.Gray, 1845"
 ]
}

 The dataset includes 175 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068623-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muvjuz
title: Occurrence Download

description: A dataset containing 35682751 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DOF/BirdLife Denmark - Observations from DOFbasen"
 ]
}

 The dataset includes 35682751 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068615-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9raa4s
title: Occurrence Download

description: A dataset containing 2016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Apteryx australis Shaw, 1813"
 ]
}

 The dataset includes 2016 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068622-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsfbhk
title: Occurrence Download

description: A dataset containing 341053 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fife Nature Records Centre combined dataset"
 ]
}

 The dataset includes 341053 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068617-250525065834625/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/12280020
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.15736389
title: Test dataset and docker volume for omero-quay

description: This is a minimal dataset to test [omero-quay](https://gitlab.in2p3.fr/fbi-data/omero-quay)

See omero-quay documentation and tests for usage
DOI: 10.15468/dl.n2nj69
title: Occurrence Download

description: A dataset containing 3248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "OccurrenceStatus is Present",
 "TaxonKey is Apteryx haastii Potts, 1872"
 ]
}

 The dataset includes 3248 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068624-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15736550
title: Sales and ATC Code Level 5 Data from ABCD Company (2021–2024)

description: This dataset contains sales and production data of pharmaceutical products from ABCD Company, covering the period from 2021 to 2024. Each product is categorized using the ATC (Anatomical Therapeutic Chemical) classification system at level 5, with a total of 91 ATC codes included.

The dataset is used in research focused on developing demand forecasting models using machine learning. All data has been cleaned and anonymized to remove any sensitive company information.

This dataset is suitable for academic and research purposes, particularly in areas such as:- Inventory management- Demand forecasting- Time series machine learning applications
DOI: 10.5281/zenodo.15736551
title: Sales and ATC Code Level 5 Data from ABCD Company (2021–2024)

description: This dataset contains sales and production data of pharmaceutical products from ABCD Company, covering the period from 2021 to 2024. Each product is categorized using the ATC (Anatomical Therapeutic Chemical) classification system at level 5, with a total of 91 ATC codes included.

The dataset is used in research focused on developing demand forecasting models using machine learning. All data has been cleaned and anonymized to remove any sensitive company information.

This dataset is suitable for academic and research purposes, particularly in areas such as:- Inventory management- Demand forecasting- Time series machine learning applications
DOI: 10.34740/kaggle/dsv/12280100
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.34740/kaggle/dsv/12280101
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.t2snqx
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068625-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s54qru
title: Occurrence Download

description: A dataset containing 471505 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SER Species-based Surveys"
 ]
}

 The dataset includes 471505 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068621-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fafnu
title: Occurrence Download

description: A dataset containing 773964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 773964 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068614-250525065834625/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.29401070
title: Experimental assessment of the effects of substrate choice on the duration of chemical signals in fecal scent-marks of free-ranging Iberian wolves

description: Chemical communication, typically based on feces, urine and glandular secretions, plays a key role in social organization and communication among many mammals, especially carnivores. Scent marking is crucial for diverse functions. This study assesses experimentally whether the type of substrate chosen for fecal deposition and the temperature reached by these substrates influence the persistence of volatile compounds in feces of the Iberian wolf (<i>Canis lupus signatus</i>), considering their role in chemical communication. Fresh fecal scats collected in the wild were divided into equal fragments and positioned in an experimental setup on four different types of substrates exposed to the natural environment. Thereafter, small fecal samples from each fragment were collected at seven different time intervals for chemical analysis using gas chromatography-mass spectrometry (GC-MS). The variations in temperature of each substrate were also monitored. The number of compounds in feces decreased with time since deposition. Also, differences in the total number of compounds were found across time and different types of substrates. Substrate temperature only influenced the persistence of some chemical compounds, though lower temperatures may slightly prolong scent mark duration. These results suggest that, when wolves select a substrate to deposit the feces, enhancing visual cues (for example, different conspicuity of the feces in different substrates) may play a more important role in fecal marking than trying to increase the persistence of the olfactory signal. Overall, our study may help to enhance the understanding of fecal marking behavior in the Iberian wolf, especially regarding the interplay between visual and chemical signaling.
DOI: 10.6084/m9.figshare.29401070.v1
title: Experimental assessment of the effects of substrate choice on the duration of chemical signals in fecal scent-marks of free-ranging Iberian wolves

description: Chemical communication, typically based on feces, urine and glandular secretions, plays a key role in social organization and communication among many mammals, especially carnivores. Scent marking is crucial for diverse functions. This study assesses experimentally whether the type of substrate chosen for fecal deposition and the temperature reached by these substrates influence the persistence of volatile compounds in feces of the Iberian wolf (<i>Canis lupus signatus</i>), considering their role in chemical communication. Fresh fecal scats collected in the wild were divided into equal fragments and positioned in an experimental setup on four different types of substrates exposed to the natural environment. Thereafter, small fecal samples from each fragment were collected at seven different time intervals for chemical analysis using gas chromatography-mass spectrometry (GC-MS). The variations in temperature of each substrate were also monitored. The number of compounds in feces decreased with time since deposition. Also, differences in the total number of compounds were found across time and different types of substrates. Substrate temperature only influenced the persistence of some chemical compounds, though lower temperatures may slightly prolong scent mark duration. These results suggest that, when wolves select a substrate to deposit the feces, enhancing visual cues (for example, different conspicuity of the feces in different substrates) may play a more important role in fecal marking than trying to increase the persistence of the olfactory signal. Overall, our study may help to enhance the understanding of fecal marking behavior in the Iberian wolf, especially regarding the interplay between visual and chemical signaling.
DOI: 10.15468/dl.etkvq4
title: Occurrence Download

description: A dataset containing 26175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus spinosa L.",
 "Year 2018-2025"
 ]
}

 The dataset includes 26175 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068626-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.