cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.290787
title: Physical oceanography during GAUSS cruise 06GA350_1 on section AR19

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.837269
title: Hydrochemistry measured on water bottle samples during Shumpu Maru cruise 49SU9508_1 on section PR17

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.315910
title: Physical oceanography during FRANKLIN cruise 09FA1091_2 on section PR11

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.663145
title: Meteorological observations during Atlantic Expedition M2 in 1965 (IQSY) with RV "Meteor"
DOI: 10.1594/pangaea.123311
title: Picoplankton abundance at station TT012_5-CTD63
DOI: 10.1594/pangaea.123312
title: Picoplankton abundance at station TT012_5-CTD81
DOI: 10.1594/pangaea.318116
title: Current meter data at station ICM1_F (CMDB code rcm02379)
DOI: 10.1594/pangaea.123309
title: Picoplankton abundance at station TT012_5-CTD41
DOI: 10.1594/pangaea.123296
title: Population estimate of phytoplankton and bacteria at station TT011_9-CTD108
DOI: 10.1594/pangaea.123310
title: Picoplankton abundance at station TT012_5-CTD59
DOI: 10.1594/pangaea.123297
title: Population estimate of phytoplankton and bacteria at station TT011_9-CTD114
DOI: 10.1594/pangaea.123313
title: Picoplankton abundance at station TT012_5-CTD88
DOI: 10.1594/pangaea.123295
title: Population estimate of phytoplankton and bacteria at station TT011_8-CTD98
DOI: 10.1594/pangaea.123298
title: Picoplankton abundance at station TT008_5-CTD15
DOI: 10.6084/m9.figshare.26296585
title: Predicted environmental suitability of <i>Ornithodoros turicata</i> using ISDM and Maxent

description: This folder contains the raster predictions of environmental suitability for the soft tick <i>Ornithodoros turicate </i>throughout the easter U.S. This dataset contains the results of an Integrated Species Distribution Model, with the median estimated occurrence intensity and its upper and lower confidence intervals, as well as the results of a Maxent distribution model for the same species along its estimated standard error from 100 model replicates. Reclassified rasters into suitable vs. unsuitable habitat are also presented for each model.
DOI: 10.6084/m9.figshare.26296585.v2
title: Predicted environmental suitability of <i>Ornithodoros turicata</i> using ISDM and Maxent

description: This folder contains the raster predictions of environmental suitability for the soft tick <i>Ornithodoros turicate </i>throughout the easter U.S. This dataset contains the results of an Integrated Species Distribution Model, with the median estimated occurrence intensity and its upper and lower confidence intervals, as well as the results of a Maxent distribution model for the same species along its estimated standard error from 100 model replicates. Reclassified rasters into suitable vs. unsuitable habitat are also presented for each model.
DOI: 10.1594/pangaea.123305
title: Picoplankton abundance at station TT012_5-CTD10
DOI: 10.1594/pangaea.123306
title: Picoplankton abundance at station TT012_5-CTD13
DOI: 10.6084/m9.figshare.26296585.v1
title: Predicted environmental suitability of <i>Ornithodoros turicata</i> using ISDM and Maxent

description: This folder contains the raster predictions of environmental suitability for the soft tick <i>Ornithodoros turicate </i>throughout the easter U.S. This dataset contains the results of an Integrated Species Distribution Model, with the median estimated occurrence intensity and its upper and lower confidence intervals, as well as the results of a Maxent distribution model for the same species along its estimated standard error from 100 model replicates. Reclassified rasters into suitable vs. unsuitable habitat are also presented for each model.
DOI: 10.1594/pangaea.123299
title: Picoplankton abundance at station TT008_5-CTD20
DOI: 10.1594/pangaea.123300
title: Picoplankton abundance at station TT008_5-CTD25
DOI: 10.1594/pangaea.123307
title: Picoplankton abundance at station TT012_5-CTD31
DOI: 10.1594/pangaea.123301
title: Picoplankton abundance at station TT008_5-CTD42
DOI: 10.1594/pangaea.123304
title: Picoplankton abundance at station TT008_5-CTD9
DOI: 10.1594/pangaea.123302
title: Picoplankton abundance at station TT008_5-CTD48
DOI: 10.1594/pangaea.123308
title: Picoplankton abundance at station TT012_5-CTD38
DOI: 10.1594/pangaea.123303
title: Picoplankton abundance at station TT008_5-CTD5
DOI: 10.1594/pangaea.123293
title: Population estimate of phytoplankton and bacteria at station TT011_7-CTD88
DOI: 10.1594/pangaea.123294
title: Population estimate of phytoplankton and bacteria at station TT011_8-CTD93
DOI: 10.1594/pangaea.123273
title: Population estimate of phytoplankton and bacteria at station TT011_10-CTD124
DOI: 10.1594/pangaea.123292
title: Population estimate of phytoplankton and bacteria at station TT011_7-CTD84
DOI: 10.1594/pangaea.123290
title: Population estimate of phytoplankton and bacteria at station TT011_6-CTD68
DOI: 10.1594/pangaea.123291
title: Population estimate of phytoplankton and bacteria at station TT011_6-CTD72
DOI: 10.1594/pangaea.118871
title: Number of aggregates greater than 0.5 mm in diameter at station TT050_21-28
DOI: 10.1594/pangaea.123283
title: Population estimate of phytoplankton and bacteria at station TT011_2-CTD25
DOI: 10.1594/pangaea.123284
title: Population estimate of phytoplankton and bacteria at station TT011_3-CTD39
DOI: 10.1594/pangaea.123285
title: Population estimate of phytoplankton and bacteria at station TT011_3-CTD42
DOI: 10.1594/pangaea.123286
title: Population estimate of phytoplankton and bacteria at station TT011_4-CTD43
DOI: 10.1594/pangaea.123287
title: Population estimate of phytoplankton and bacteria at station TT011_4-CTD48
DOI: 10.1594/pangaea.123288
title: Population estimate of phytoplankton and bacteria at station TT011_5-CTD58
DOI: 10.1594/pangaea.123274
title: Population estimate of phytoplankton and bacteria at station TT011_11-CTD137
DOI: 10.1594/pangaea.123289
title: Population estimate of phytoplankton and bacteria at station TT011_5-CTD63
DOI: 10.1594/pangaea.123275
title: Population estimate of phytoplankton and bacteria at station TT011_11-CTD141
DOI: 10.1594/pangaea.123281
title: Population estimate of phytoplankton and bacteria at station TT011_15-CTD175
DOI: 10.1594/pangaea.123276
title: Population estimate of phytoplankton and bacteria at station TT011_12-CTD147
DOI: 10.1594/pangaea.123282
title: Population estimate of phytoplankton and bacteria at station TT011_2-CTD16
DOI: 10.1594/pangaea.123277
title: Population estimate of phytoplankton and bacteria at station TT011_12-CTD151
DOI: 10.1594/pangaea.123278
title: Population estimate of phytoplankton and bacteria at station TT011_13-CTD162
DOI: 10.1594/pangaea.123279
title: Population estimate of phytoplankton and bacteria at station TT011_14-CTD165
DOI: 10.1594/pangaea.123280
title: Population estimate of phytoplankton and bacteria at station TT011_15-CTD172
DOI: 10.1594/pangaea.804988
title: Physical oceanography during L'Atalante cruise OLIPAC
DOI: 10.1594/pangaea.837163
title: Hydrochemistry measured on water bottle samples during Charles Darwin cruise 74AB59_1

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.123254
title: Population estimate of phytoplankton and bacteria at station TT007_3-CTD30
DOI: 10.1594/pangaea.608361
title: Physical oceanography during CHALLENGER cruise CH123A-2

description: Proudman Oceanographic Laboratory (now National Oceanography Centre, Liverpool). Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.123255
title: Population estimate of phytoplankton and bacteria at station TT007_3-CTD35
DOI: 10.1594/pangaea.756462
title: Physical oceanography during Professor Vodyanitskiy cruise PV14
DOI: 10.1594/pangaea.123256
title: Population estimate of phytoplankton and bacteria at station TT007_3-CTD37
DOI: 10.1594/pangaea.123257
title: Population estimate of phytoplankton and bacteria at station TT007_4-CTD43
DOI: 10.1594/pangaea.756095
title: Physical oceanography during Mikhail Lomonosov cruise ML44
DOI: 10.1594/pangaea.118870
title: Number of aggregates greater than 0.5 mm in diameter at station TT050_21-22
DOI: 10.1594/pangaea.123251
title: Population estimate of phytoplankton and bacteria at station TT007_15-CTD162
DOI: 10.1594/pangaea.123252
title: Population estimate of phytoplankton and bacteria at station TT007_2-CTD20
DOI: 10.1594/pangaea.836969
title: Hydrochemistry measured on water bottle samples during Maurice Ewing cruise 3230CITHER2_2 on section A17N

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.123253
title: Population estimate of phytoplankton and bacteria at station TT007_2-CTD25
DOI: 10.1594/pangaea.804941
title: Nutrients measured on water bottle samples during L'Atalante cruise EUMELI4
DOI: 10.1594/pangaea.123258
title: Population estimate of phytoplankton and bacteria at station TT007_4-CTD45
DOI: 10.1594/pangaea.123259
title: Population estimate of phytoplankton and bacteria at station TT007_5-CTD56
DOI: 10.1594/pangaea.837189
title: Hydrochemistry measured on water bottle samples during PELAGIA cruise 64PE110_1 on section AR12

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.123261
title: Population estimate of phytoplankton and bacteria at station TT007_6-CTD67
DOI: 10.1594/pangaea.805792
title: Physical oceanography during Sagar Kanya cruise SK87
DOI: 10.1594/pangaea.290748
title: Physical oceanography during OCEANUS cruise 32OC250_4 on section AR11

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.608677
title: Physical oceanography during CHALLENGER cruise CH126A

description: Napier University School of Life Sciences (now Edinburgh Napier University School of Life, Sport & Social Sciences). Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.123246
title: Population estimate of phytoplankton and bacteria at station TT007_12-CTD144
DOI: 10.1594/pangaea.123249
title: Population estimate of phytoplankton and bacteria at station TT007_15-CTD152
DOI: 10.1594/pangaea.123250
title: Population estimate of phytoplankton and bacteria at station TT007_15-CTD159
DOI: 10.1594/pangaea.123247
title: Population estimate of phytoplankton and bacteria at station TT007_13-CTD148
DOI: 10.1594/pangaea.123248
title: Population estimate of phytoplankton and bacteria at station TT007_14-CTD149
DOI: 10.1594/pangaea.807717
title: Particulate organic carbon and nitrogen measured on water bottle samples during Hakurei-Maru cruise NH95-2
DOI: 10.1594/pangaea.817121
title: Physical oceanography during TYRO cruise NIOP-A1
DOI: 10.1594/pangaea.123244
title: Population estimate of phytoplankton and bacteria at station TT007_11-CTD132
DOI: 10.1594/pangaea.123245
title: Population estimate of phytoplankton and bacteria at station TT007_12-CTD138
DOI: 10.1594/pangaea.742826
title: Physical oceanography during Shumpu Maru cruise 49SU9404_1 on section PR17

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.123240
title: Population estimate of phytoplankton and bacteria at station TT007_1-CTD13
DOI: 10.1594/pangaea.123241
title: Population estimate of phytoplankton and bacteria at station TT007_1-CTD8
DOI: 10.1594/pangaea.123242
title: Population estimate of phytoplankton and bacteria at station TT007_10-CTD120
DOI: 10.1594/pangaea.123243
title: Population estimate of phytoplankton and bacteria at station TT007_10-CTD124
DOI: 10.1594/pangaea.123229
title: Counts of pico- and nano- phytoplankton at station TT012_5-CTD52
DOI: 10.1594/pangaea.123230
title: Counts of pico- and nano- phytoplankton at station TT012_5-CTD53
DOI: 10.1594/pangaea.823571
title: Physical oceanography during Charles Darwin cruise CD46

description: Queen's University Belfast School of Biological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.15468/dl.vwxhhx
title: Occurrence Download

description: A dataset listing the 171 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophrys sphegodes"
 ]
}

 The dataset's 171 records were derived from 839 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055494-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17961492
title: 20251216_Lorenz
DOI: 10.5281/zenodo.17961493
title: 20251216_Lorenz
DOI: 10.15468/dl.kuqwgm
title: Occurrence Download

description: A dataset containing 6306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dermochelys coriacea",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 6306 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055859-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25519/9vs9-bf09
title: Integrating olivine diffusion chronometry with monitoring data to decipher the magma dynamics at the submarine Fani Maoré volcano

description: This repository includes all data that was produced for the paper "Integrating olivine diffusion chronometry with monitoring data to decipher the magma dynamics at the submarine Fani Maoré volcano" published in G-Cubed. 
The Supplementary Tables contain a summary of olivine and magnetite compositions, olivine diffusion times, olivine trace element data and percentages from X-ray tomography. The Supplementary Material 1 contains additional figures, Supplementary Material 2 shows all profiles taken for the triple-zoned olivine, and Supplementary Material 3 discusses how the uncertainty on pressure of the more evolved reservoir, uncertainties on eruption dates and faster DFe-Mg (according to Shea et al. 2023) would influence our intrusion dates and their overlap with geophysical data. Supplementary video files show the results from tomography on the sieve olivine in 2D and as a 3D reconstruction.
DOI: 10.5281/zenodo.17743076
title: DUST : An On-Orbit Start-Tracker Benchmark for RSO Detection and Attitude Estimation

description: The DUST (Dual-Use Star Tracker) dataset is an openly accessible collection of on-orbit, wide-field near-infrared imagery acquired by the Fast Auroral Imager (FAI) aboard the CASSIOPE spacecraft between January and August 2023. The dataset comprises 1,378 astrometrically calibrated images containing 4,237 manually verified resident space object (RSO) instances across 160 transits, alongside catalog-matched stars, spacecraft ephemeris and attitude data, and detailed background characterization metrics.

Images were captured at 1 Hz cadence with a 26° field of view and include challenging real-world effects such as dense stellar backgrounds, stray light, lens flare, motion blur, and spacecraft-induced jitter. RSOs are annotated in both YOLO (object detection) and MOT (multi-object tracking) formats, while star detections include pixel centroids, right ascension and declination, magnitudes, and astrometric match confidence.

DUST enables research in RSO detection, multi-object tracking, star–RSO discrimination, and spacecraft attitude estimation using star-tracker-class imagery. It bridges the gap between synthetic benchmarks and restricted operational datasets by providing realistic, fully annotated, and reproducible on-orbit data. Code used for dataset generation, preprocessing, annotation, analysis, and figure production is provided alongside the data to support transparency and full reproducibility.

This work was supported by the Natural Sciences and Engineering Research Council of Canada Discovery Grant (grant number: RGPIN-2025-06284), DND/NSERC Discovery Grant Supplement (Application ID: DGDND-2025-06284) and the Canadian Space Agency Flights and Fieldwork for the Advancement of Science and Technology (FAST) program (grant number: 23FAYORA06) in collaboration with Magellan Aerospace and Defence Research and Development Canada.
DOI: 10.5281/zenodo.17743077
title: DUST : An On-Orbit Start-Tracker Benchmark for RSO Detection and Attitude Estimation

description: The DUST (Dual-Use Star Tracker) dataset is an openly accessible collection of on-orbit, wide-field near-infrared imagery acquired by the Fast Auroral Imager (FAI) aboard the CASSIOPE spacecraft between January and August 2023. The dataset comprises 1,378 astrometrically calibrated images containing 4,237 manually verified resident space object (RSO) instances across 160 transits, alongside catalog-matched stars, spacecraft ephemeris and attitude data, and detailed background characterization metrics.

Images were captured at 1 Hz cadence with a 26° field of view and include challenging real-world effects such as dense stellar backgrounds, stray light, lens flare, motion blur, and spacecraft-induced jitter. RSOs are annotated in both YOLO (object detection) and MOT (multi-object tracking) formats, while star detections include pixel centroids, right ascension and declination, magnitudes, and astrometric match confidence.

DUST enables research in RSO detection, multi-object tracking, star–RSO discrimination, and spacecraft attitude estimation using star-tracker-class imagery. It bridges the gap between synthetic benchmarks and restricted operational datasets by providing realistic, fully annotated, and reproducible on-orbit data. Code used for dataset generation, preprocessing, annotation, analysis, and figure production is provided alongside the data to support transparency and full reproducibility.

This work was supported by the Natural Sciences and Engineering Research Council of Canada Discovery Grant (grant number: RGPIN-2025-06284), DND/NSERC Discovery Grant Supplement (Application ID: DGDND-2025-06284) and the Canadian Space Agency Flights and Fieldwork for the Advancement of Science and Technology (FAST) program (grant number: 23FAYORA06) in collaboration with Magellan Aerospace and Defence Research and Development Canada.
DOI: 10.15468/dl.rc8r74
title: Occurrence Download

description: A dataset containing 802 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus subpyrenaica"
 ]
}

 The dataset includes 802 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055860-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3217/0bccg-1bp94
title: DFT data, MD data, and videos for: The dynamics of stacking in layered covalent organic frameworks

description: Dataset for the journal publication:

The dynamics of stacking in layered covalent organic frameworksMonatshefte für Chemie - Chemical MonthlyDOI: https://doi.org/10.1007/s00706-025-03412-7

The dataset contains videos (Animations.zip) and DFT data and MD data (Calculations.zip). For a more detailed description of the data, we refer to the file readme.pdf.
DOI: 10.3217/e3627-8bt54
title: DFT data, MD data, and videos for: The dynamics of stacking in layered covalent organic frameworks

description: Dataset for the journal publication:

The dynamics of stacking in layered covalent organic frameworksMonatshefte für Chemie - Chemical MonthlyDOI: https://doi.org/10.1007/s00706-025-03412-7

The dataset contains videos (Animations.zip) and DFT data and MD data (Calculations.zip). For a more detailed description of the data, we refer to the file readme.pdf.
DOI: 10.5880/isg.2015.003
title: The hybrid geoid of Bhutan: DRUKGEOID2015

description: The DRUKGEOID2015 model is a geoid of Bhutan, covering the area from 88.5°E to 92.5°E in longitude and from 26.5°N to 28.5°N with a grid resolution of 0.02°.  It is referred to the GRS80 ellipsoid and it is based on a set of 255 points with both GNSS and gravity, collected in the framework of this project. Gravity observations were observed by the National Land Commission (NCL) using two CG5 gravimeters. As for the GNSS observations, the positions were computed using the differential GNSS approach for points in the proximity of Permanent Reference Stations (PRS). The Precise Point Positioning (PPP) technique were employed. The DRUKGEOID2015 model was computed by applying the remove-restore procedure, where the used global geopotential model was EIGEN-6C4 and the topography information was taken from the Shuttle Radar Topography Mission (SRTM) model. After the removal step, gravity residual were converted into residual height anomalies using the Least-Squares Collocation (LSC) approach. After the restoring step, height anomalies were converted into geoid undulations using the algorithm by Flury and Rummel (2009) and the SRTM topography. It was decided to fix the resulting gravimetric geoid to the fundamental benchmark at NLC headquarters in Thimphu (TH01). At this point the GNSS ellipsoidal height with respect to the DRUKREF03 system (ITRF2000 at epoch 2003.87) minus the geoid undulation is equal to the official orthometric height. Comparison of 27 GNSS/levelling benchmarks with DRUKGEOID15 showed a standard deviation of 0.55 m. 
 
The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
DOI: 10.15468/dl.mxm9jj
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Malaise Trap Project (SMTP) - Dermaptera"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055861-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/8ewcio
title: PAN-00181247 - early medieval enamelled disc brooch variant A19

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181247&lt;/p&gt;
description: Modified: 2025-10-30T16:51:49+01:00
DOI: 10.15468/dl.2gy8tm
title: Occurrence Download

description: A dataset containing 8216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Athene noctua",
 "Year 2024-2024"
 ]
}

 The dataset includes 8216 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055862-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.