cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110599238
title: Persepolis Fortification Elamite Tablet 0704, PF 0704

description: [Text Description:] Administrative text with seals PFS 0007*, PFS 0066b ❧ [Text or Publication Number Note:] PF 0704 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text, Aramaic ink inscription. Seal impressions PFS 0007* reverse; PFS 0066b* upper edge, right edge, left edge ❧ [Physical Object Note:] Crack on reverse.
DOI: 10.25549/inscriptifact-ouc110599214
title: Persepolis Fortification Elamite Tablet 0704, PF 0704

description: [Text Description:] Administrative text with seals PFS 0007*, PFS 0066b ❧ [Text or Publication Number Note:] PF 0704 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text, Aramaic ink inscription. Seal impressions PFS 0007* reverse; PFS 0066b* upper edge, right edge, left edge ❧ [Physical Object Note:] Crack on reverse.
DOI: 10.25549/inscriptifact-ouc110599227
title: Persepolis Fortification Elamite Tablet 0704, PF 0704

description: [Text Description:] Administrative text with seals PFS 0007*, PFS 0066b ❧ [Text or Publication Number Note:] PF 0704 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text, Aramaic ink inscription. Seal impressions PFS 0007* reverse; PFS 0066b* upper edge, right edge, left edge ❧ [Physical Object Note:] Crack on reverse.
DOI: 10.34740/kaggle/dsv/13353986
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.x97jnq
title: Occurrence Download

description: A dataset containing 7743681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-84.969 29.59026,-84.20587 29.89395,-83.66531 29.64554,-83.37914 29.14689,-82.96578 28.72949,-83.15656 28.11427,-83.09297 27.15652,-82.10726 25.90482,-81.34413 24.75524,-80.67639 24.87069,-80.04045 25.53241,-79.69068 26.58926,-79.84966 27.86157,-80.26303 28.98013,-80.67639 29.7008,-81.08975 30.36147,-81.24874 30.69015,-85.19157 30.74483,-85.31876 29.92151,-84.969 29.59026))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 7743681 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010790-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17170195
title: Ancient Mars Climate With a Polar Ocean and Ice Sheet Dynamics

description: 2025/05 Michael.J.Way@nasa.gov

Supplementary files for the following article (please cite the article if you use these files).

Schmidt, Way, Quiquet, Aleinov, Dumas "Ancient Mars with a polar ocean and ice sheet dynamics",

Journal of Geophysical Research - Planets, 2025

Nomenclature for the ROCKE-3D files, See Section 2.3 in publication:

R: 01_R_ANN0380-0389.*PM03C9.nc

RGR: 02_RGR_ANN0190-0199.*PM03C18.nc

RGRGR: 03_RGRGR_ANN0400-0490.*PM03C19.nc

RGR15: 04_RGR15_ANN0190-0199.*PM03C18_15P.nc

RGR30: 05_RGR30_ANN0190-0199.*PM03C18_30P.nc

RGR50: 06_RGR50_ANN0190-0199.*PM03C18_50P.nc
DOI: 10.5281/zenodo.17170194
title: Ancient Mars Climate With a Polar Ocean and Ice Sheet Dynamics

description: 2025/05 Michael.J.Way@nasa.gov

Supplementary files for the following article (please cite the article if you use these files).

Schmidt, Way, Quiquet, Aleinov, Dumas "Ancient Mars with a polar ocean and ice sheet dynamics",

Journal of Geophysical Research - Planets, 2025

Nomenclature for the ROCKE-3D files, See Section 2.3 in publication:

R: 01_R_ANN0380-0389.*PM03C9.nc

RGR: 02_RGR_ANN0190-0199.*PM03C18.nc

RGRGR: 03_RGRGR_ANN0400-0490.*PM03C19.nc

RGR15: 04_RGR15_ANN0190-0199.*PM03C18_15P.nc

RGR30: 05_RGR30_ANN0190-0199.*PM03C18_30P.nc

RGR50: 06_RGR50_ANN0190-0199.*PM03C18_50P.nc
DOI: 10.15468/dl.8bmbka
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006070-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tztmfb
title: Occurrence Download

description: A dataset containing 242196 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Spider Databank"
 ]
}

 The dataset includes 242196 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021882-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h8dvb
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetradium daniellii (Benn.) T.G.Hartley",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206280-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h0jt9n
title: Occurrence Download

description: A dataset containing 31000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant Specimen Database of Tama Forest Science Garden, Forestry and Forest Products Research Institute, Japan"
 ]
}

 The dataset includes 31000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000412-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exrhjp
title: Occurrence Download

description: A dataset containing 108892052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 108892052 records from 13976 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092361-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6dzbc
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Gazella thomsonii Günther, 1884, Gazella thomsonii albonotata Rothschild, 1903)"
 ]
}

 The dataset includes 442 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010141-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq5fj4
title: Occurrence Download

description: A dataset containing 10730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Connochaetes taurinus (Burchell, 1823), Connochaetes taurinus taurinus, Connochaetes taurinus albojubatus Thomas, 1892, Connochaetes taurinus cooksoni Blaine, 1914, Connochaetes taurinus johnstoni P.L.Sclater, 1896, Connochaetes taurinus mearnsi (Heller, 1913))"
 ]
}

 The dataset includes 10730 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010139-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14276126
title: Exploring Forsterite Surface Catalysis in HCN Polymerization

description: This dataset contains the structures related to the dimerization of HCN molecules to iminoacetonitrile, adsorbed on periodic models of the (120), (101) and (111) forsterite surfaces. The stationary points for the dimerization of HCN to methanimidoyl isocyanide in the gas-phase are also reported. All structures are optimized at the PBE-D*N level, as described in Bancone et al. 2025.
DOI: 10.5281/zenodo.14276127
title: Exploring Forsterite Surface Catalysis in HCN Polymerization

description: This dataset contains the structures related to the dimerization of HCN molecules to iminoacetonitrile, adsorbed on periodic models of the (120), (101) and (111) forsterite surfaces. The stationary points for the dimerization of HCN to methanimidoyl isocyanide in the gas-phase are also reported. All structures are optimized at the PBE-D*N level, as described in Bancone et al. 2025.
DOI: 10.15468/dl.3xmhuf
title: Occurrence Download

description: A dataset containing 24442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Loxodonta Anonymous, 1827, Loxodonta Cuvier, 1825, Onthophagus loxodontaphilus Moretto, 2009, Pachysternum loxodonta Fikáček, 2006, Loxodonta cyclotis (Matschie, 1900), Loxodonta africana (Blumenbach, 1797), Loxodonta africana knochenhaueri, Philonthus loxodonta Hromádka, 2009, Bivitellobilharzia loxodontae Vogel & Minning, 1940, Hungerfordia loxodonta K.Yamazaki & Ueshima, 2015)"
 ]
}

 The dataset includes 24442 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010142-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rehbzb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanaspis odontoglossi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081458-250717081556266/datasets/export for details.
DOI: 10.82144/49d83b75
title: SIO Southern California HARPs Acoustic Dolphin Detections 2005-2007

description: High-frequency Acoustic Recording Packages (HARPs) were deployed at six locations in the Southern California Bight between August 2005 and January 2008 to examine diel, seasonal, and annual patterns of occurrence and distribution.  Long term spectral averages (LTSAs) were examined by eye for the presence of echolocation click bouts from Risso's dolphins and Pacific white-sided dolphins.  Click bouts were identified to species by a trained analyst based on their spectral characteristics (described in Soldevilla et al 2008).  Observations represent presence in one-hour time bins (#obs) and are quantified as the number of one-minute time bins with clicks present.  Two click types, A and B, were identified for Pacific white-sided dolphins, which show spatial and temporal segregation in occurrence.  HARP recording schedules varied across deployments and include continuous recording, 1/2, 1/3, and 1/4 duty cycles in which 5 minutes were recorded followed by 5, 10, and 15 minutes off, respectively.  Effort data is also available in one-hour time bins and includes the number of minutes with recording effort per hour.
DOI: 10.82144/6c20ea6a
title: NEFSC Marine Mammal Abundance Cruise 2004 Passive Acoustic Monitoring - Whistle Detections

description: The primary objectives of the survey were to:
(1) determine the spatial distribution and abundance of cetaceans and turtles in the study region,
(2) determine the spatial distribution and relative abundance of sea birds in the same region, and
(3) use passive acoustics to record vocalizing cetaceans that will hopefully be used to improve the abundance estimates derived from the visual surveys.
A secondary objective was to compare the distribution of these species with each other, physical characteristics, such as depth contours and water temperature, and biological characteristics, such as relative plankton distributions.
DOI: 10.82144/fc8ce8af
title: State of the World's Sea Turtles, The

description: SWOT - the State of the World's Sea Turtles - is a partnership led by Marine Flagship Species Program at the Oceanic Society and the IUCN Marine Turtle Specialist Group (MTSG), and supported by the OBIS-SEAMAP project at the Marine Geospatial Ecology Lab (MGEL), Duke University. This online database and mapping application is built with sea turtle nesting and telemetry data contributed to SWOT since 2004 and also incorporates earlier efforts that produced the WIDECAST nesting database. Since 2012, the data collection and database management are conducted by the OBIS-SEAMAP team at the Marine Geospatial Ecology Lab, Duke University.

Currently, SWOT collects data from a network of more than 550 people and projects (SWOT team) for the only comprehensive, global database of sea turtle nesting sites and satellite telemetry data. The SWOT team has provided global nesting locations and satellite telemetry data of all seven marine turtle species: green, leatherback, loggerhead, hawksbill, flatback, olive ridley, and Kemp's ridley. These data have been highlighted here and in annual SWOT reports, available freely in print and online. Furthermore, SWOT supports recommendations for monitoring effort schemes (minimum data standards or MDS) that will allow for comparison of long-term nesting abundance and trend estimates for regional and global populations of sea turtle species. All data contributed to SWOT must include MDS level information to facilitate a standardized global monitoring system for sea turtles.

In addition to collating sea turtle nesting and telemetry data, SWOT provides other geospatial sea turtle data, including species regional management units, georeferenced sea turtle mtDNA and nDNA sampling sites, and a nesting habitat suitability layer. These files can be viewed and downloaded for analyses from the SWOT mapping application (http://seamap.env.duke.edu/swot) once the OBIS-SEAMAP Terms of Use are agreed upon.
DOI: 10.5281/zenodo.14639169
title: All-Sky Imager Cloud Segmentation Dataset Almería

description: Description

This dataset consists of 818 all-sky images captured at a solar research facility in southern Spain, accompanied by manually refined segmentation masks. It serves as the database for the deep learning-based cloud segmentation model presented in Applying self-supervised learning for semantic cloud segmentation of all-sky images. Images were manually selected to cover a diverse range of cloud conditions and solar elevation angles.

The dataset is divided into two parts:





Training & Validation Set (Kontas_2017):Contains 770 images captured in 2017 by a single sky camera (Cloud_Cam_Kontas).




Test Set:Includes 48 images (12 each) captured in 2021 from four different all-sky imagers located at the same facility.



Each image is paired with a segmentation mask that distinguishes three cloud layers, categorized by their cloud base height:



Class 1: Cloudless sky



Class 2: Low-layer clouds




Class 3: Mid-layer clouds




Class 4: High-layer clouds



Segmentation masks were generated using a semi-automated workflow:





Initial binary cloud detection using automated segmentation methods.




Manual correction of segmentation masks and cloud classification supported by ceilometer measurements of cloud base height.



All images and masks were:





Cropped and resized to a resolution of 512×512 pixels.




Static objects (e.g., surrounding instrumentation) were removed from the field of view of the fisheye lens by applying a camera mask.



Data Format



All-Sky Images



JPEG files with filenames containing the image acquistion timestamp.

E.g. kontas_2017/images/asi_001_170328164030.jpg



Segmentation Masks



Grayscale PNG files using the same filename as the corresponding sky image

Each pixel represents a cloud class label as defined in classes.yaml

E.g. kontas_2017/seg_masks/asi_001_170328164030.png



Meta data



The file meta_data.yaml provides location and timezone information for each camera.

The validation split as defined in the original publication can be found in kontas_2017/validation.csv




Visualization

A sample Jupyter notebook, image_mask_visualization.ipynb, is included for convenient visualization of images and corresponding segmentation masks.

Acknowledgements

DLR Institute of Solar Research is responsible for the construction, operations, quality control of the all-sky imagers used in this dataset.
DOI: 10.5281/zenodo.16647156
title: All-Sky Imager Cloud Segmentation Dataset Almería

description: Description

This dataset consists of 818 all-sky images captured at a solar research facility in southern Spain, accompanied by manually refined segmentation masks. It serves as the database for the deep learning-based cloud segmentation model presented in Applying self-supervised learning for semantic cloud segmentation of all-sky images. Images were manually selected to cover a diverse range of cloud conditions and solar elevation angles.

The dataset is divided into two parts:





Training & Validation Set (Kontas_2017):Contains 770 images captured in 2017 by a single sky camera (Cloud_Cam_Kontas).




Test Set:Includes 48 images (12 each) captured in 2021 from four different all-sky imagers located at the same facility.



Each image is paired with a segmentation mask that distinguishes three cloud layers, categorized by their cloud base height:



Class 1: Cloudless sky



Class 2: Low-layer clouds




Class 3: Mid-layer clouds




Class 4: High-layer clouds



Segmentation masks were generated using a semi-automated workflow:





Initial binary cloud detection using automated segmentation methods.




Manual correction of segmentation masks and cloud classification supported by ceilometer measurements of cloud base height.



All images and masks were:





Cropped and resized to a resolution of 512×512 pixels.




Static objects (e.g., surrounding instrumentation) were removed from the field of view of the fisheye lens by applying a camera mask.



Data Format



All-Sky Images



JPEG files with filenames containing the image acquistion timestamp.

E.g. kontas_2017/images/asi_001_170328164030.jpg



Segmentation Masks



Grayscale PNG files using the same filename as the corresponding sky image

Each pixel represents a cloud class label as defined in classes.yaml

E.g. kontas_2017/seg_masks/asi_001_170328164030.png



Meta data



The file meta_data.yaml provides location and timezone information for each camera.

The validation split as defined in the original publication can be found in kontas_2017/validation.csv




Visualization

A sample Jupyter notebook, image_mask_visualization.ipynb, is included for convenient visualization of images and corresponding segmentation masks.

Acknowledgements

DLR Institute of Solar Research is responsible for the construction, operations, quality control of the all-sky imagers used in this dataset.
DOI: 10.15468/dl.j6zch8
title: Occurrence Download

description: A dataset containing 9791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pavlovophyceae"
 ]
}

 The dataset includes 9791 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011453-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23664/ahri.householdassets
title: AHRI.Household Assets
DOI: 10.15468/dl.kfkx5k
title: Occurrence Download

description: A dataset containing 8847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Réunion",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psidium cattleianum Afzel. ex Sabine",
 "Year 1990-2024"
 ]
}

 The dataset includes 8847 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015945-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc27wshf
title: CCDC 2082285: Experimental Crystal Structure Determination

description: Related Article: Wei Liu, Wei Yao, Andrei S. Potapov, Vladimir P. Fedin, Enjun Gao|2025|Inorg.Chem.|64|7479|doi:10.1021/acs.inorgchem.5c00295
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.cc27wsyw
title: CCDC 2082299: Experimental Crystal Structure Determination

description: Related Article: Wei Liu, Wei Yao, Andrei S. Potapov, Vladimir P. Fedin, Enjun Gao|2025|Inorg.Chem.|64|7479|doi:10.1021/acs.inorgchem.5c00295
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.cc2lp6n5
title: CCDC 2403667: Experimental Crystal Structure Determination

description: Related Article: Lanfei Lu, Yu Li, Chenxiaoning Meng, Kunyu Liu, Yue Yu, Hui Chen, Guoming Liu, Yang Wang|2025|J.Am.Chem.Soc.|147|13405|doi:10.1021/jacs.4c18606
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.cc2lp6s9
title: CCDC 2403671: Experimental Crystal Structure Determination

description: Related Article: Lanfei Lu, Yu Li, Chenxiaoning Meng, Kunyu Liu, Yue Yu, Hui Chen, Guoming Liu, Yang Wang|2025|J.Am.Chem.Soc.|147|13405|doi:10.1021/jacs.4c18606
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.