cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17669562
title: Hydrogen refueling station location selection using the AROMAN Method

description: Hydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. The establishment of hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles in the near future. This paper addresses the challenge of selecting a hydrogen refueling station from a driver's perspective. The proposed methodology is designed as a decision support tool for drivers and can be integrated, for example, as a background program within a mobile phone application. To assist drivers in selecting the most suitable hydrogen refueling station, a recently developed multi-criteria decision-making (MCDM) method known as the Alternative Ranking Order Method Accounting Two-Step Normalization (AROMAN) has been employed. Several criteria are taken into account in the decision-making process, including the driver's distance to the station, travel time to the charger, expected wait time if the charger is occupied, and the number of available chargers at each station. To demonstrate the practicality of the proposed approach, the problem is addressed for the Pardubice Region in the Czech Republic. The available alternatives for the driver's choice include the hydrogen refueling stations in Pardubice, Chrudim, and Třemošnice. The results obtained from the proposed approach identify the Chrudim refueling station as the optimal solution in this specific case. Comparative analyses are conducted with other MCDM methods such as the Additive Ratio Assessment (ARAS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS), demonstrating a high level of confidence in the results. Furthermore, a sensitivity analysis is performed, revealing enhanced stability when employing two normalization techniques as opposed to only one.
DOI: 10.5285/dd570900-245c-4586-82b7-e548cbdc4ac5
title: The geochemical composition and stratigraphic position of 44 tephra layers in southern Iceland

description: The dataset comprises two elements: 
1) logs of nine sedimentary profiles recorded in three locations in southern Iceland and 
2) geochemical analyses of tephra samples taken from these profiles.

The three locations were Heimaey (V), an island in the Vestmannaeyjar archipelago (four profiles); Seljaland (S) in southern Iceland (two profiles), and Húshólmi (H) on the Reykjanes peninsula (three profiles). All three locations are associated with the earliest phases of the settlement of Iceland by the Norse in the ninth century CE. The datasets were collected to establish a tephrochronological framework for the three sites. The logs are based on field observations made by Prof. Andrew Dugmore (University of Edinburgh) and Dr Richard Streeter (University of St Andrews) in June 2023. The geochemical analyses were carried out by Dr Streeter and conducted using an Electron Probe Micro Analyser (EPMA).
description: The sedimentary logs are based on field observations and encompass layer thickness and sediment characteristics (qualitative assessment of colour, texture, grain size, etc.) The geochemical analyses are unstandardised proportional abundances of major elements measured by an Electron Probe Micro Analyser (EPMA).
DOI: 10.57756/e9r5ar
title: 3D model of a Southern Stout-legged Moa (NHMW-GEO-2021/0008/0001)

description: <p>3D scan of a Southern stout-legged moa (<em>Euryapteryx curtus gravis</em>) skeleton from the Holocene. Moas are extinct birds that lived on New Zealand. This skeleton was donated to the museum by Dr. Julius Ritter von Haast in 1884. This almost complete skeleton was probably built from more than one 
specimen. It was collected and gifted to the NHM Vienna by Dr. Julius 
Ritter von Haast, a geologist and paleontologist, who was the founder of
 the Canterbury Museum in Christchurch, New Zealand. This specimen was most probably a male.</p>
DOI: 10.5281/zenodo.17669740
title: EpiCast: leveraging virtual epigenomic features to predict episomal regulatory activity across cell types

description: Gosai MPRA datasets for EpiCast.
DOI: 10.5281/zenodo.17669741
title: EpiCast: leveraging virtual epigenomic features to predict episomal regulatory activity across cell types

description: Gosai MPRA datasets for EpiCast.
DOI: 10.15468/dl.drgrbb
title: Occurrence Download

description: A dataset containing 105316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tunisia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 105316 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/c5563ca5-60b9-475b-a4a4-c2d6209674ea
title: Video imagery and flow measurements from five surveys on the River Tweed, July 2024-June 2025

description: This dataset contains river surface velocity data from video footage and from a kinematic current meter, during five surveys on the River Tweed in Scotland from July 2024 to June 2025. For the video footage, different Ground Control Point (GCP) positions and camera angles are adopted for a comparison of error from various image velocimetry techniques. The footage was captured using a nadir angle with a Unmanned Aerial System (UAS), as well as from an oblique view using an iPhone 14 Pro Max camera, with GCPs positioned at the free water surface and at an elevation above the free water surface. The footage frames were extracted and processed using three different image velocimetry softwares (Particle Tracking Velocimetry (PTV), Particle Image Velocimetry (PIV) and Space-Time Image Velocimetry (STIV)). Raw surface velocity outputs from the softwares are recorded herein.  

The data also includes the extracted frames from the geometrically corrected image velocimetry frames (orthophotos) from the three different viewing angles, and values for tracer density from a preliminary analysis is also included. Discharge data was collated during the final survey in June 2025 using the velocity-area method and salt dilution gauging. This data is recorded alongside an estimation of discharge from image velocimetry surface velocity data using the trapezoidal area of the river.

The data was collated for the purpose of evaluating error propagation in image velocimetry applications under operational and sub-optimal environmental conditions. It was collected as part of a PhD project developed to assess the operational efficacy of image velocimetry applications in the UK. The data is complete and unfiltered.
description: River surface velocity data was derived from video footage processed using three different image velocimetry softwares. Surface velocity values from software are recorded, and video footage is included. River surface velocity data obtained using a current meter is recorded. River discharge data obtained using salt dilution gauging and velocity-area methods is recorded. Ground Control Point (GCP) distance and elevation is recorded. Frame-by-frame images of geometrically corrected footage from the River Tweed, which were post-processed from Image Velocimetry softwares is recorded.
DOI: 10.15468/dl.j8mmnp
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Scottish Wildcat Action - Monitoring and Surveys - Data 2013-2020"
 ]
}

 The dataset includes 345 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001973-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tzvz2
title: Occurrence Download

description: A dataset containing 130939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens glandulifera"
 ]
}

 The dataset includes 130939 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001963-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/dwzhe0
title: A-22.0763: Tilburg, Tilburg, Stadhuisstraat 6 (Heikese kerk) Tilburg, stadhuisstraat / Heikese kerk

description: &lt;p&gt;BAAC heeft op 9 november en 5 december 2022 in opdracht van de gemeente Tilburg een opgraving, variant Archeologische Begeleiding (AB) uitgevoerd in het plangebied Tilburg, Stadhuisstraat, Kerktuin van de Heikese Kerk. Tijdens het onderzoek zijn twee opgravingsputten met een totale oppervlakte van circa 210 m2 onderzocht. Binnen het onderzoeksgebied bestond de bodem uit een verrommelde laag met daarin los menselijk skeletmateriaal en een knekelkuil vlak bij de zuidelijke muur van de kerk. Tijdens de begeleiding is er tot circa 45 -mv gegraven. Er zijn enkele boringen gezet om de bodem op een dieper niveau te bestuderen. De natuurlijke bodem bevond zich op 110 tot 190 cm -mv, wat neerkomt op 13,25 – 13,75 +NAP. Alle grond daarboven is antropogeen beïnvloed. Het bovenste deel is verrommeld, maar mogelijk is er op een dieper niveau nog sprake van primaire graven. Op circa 90 cm -mv is er in een boring resten hout en botmateriaal aangetroffen, wat zou kunnen wijzen op een graf met kist. Ter hoogte van de steunberen van het huidige kerkgebouw zijn oudere muurresten gevonden, de funderingen van een voorganger van de huidige kerk. Waarschijnlijk is dit gebouw gesloopt en opgeruimd, maar heeft men stukken van de fundering ter hoogte van de steunberen laten staan voor extra stevigheid. De funderingen zijn opgebouwd uit relatief kleine, rode baksteen met kalkmortel. De fundering van de steunberen van de huidige kerk zijn hier koud op aangezet. In het noordoostelijke deel van het plangebied zijn bij de aanleg van ondergrondse containers twee brokken bouwmateriaal, mortel en baksteen, aangetroffen die mogelijk afkomstig zijn van een ouder kerkgebouw. Tijdens de begeleiding is slechts een klein deel van het gebied ten zuiden van de kerk onderzocht en maar tot circa 45 cm -mv. De funderingsresten van de kerk zijn slechts voor een deel aangesneden en onderzocht. Deze zijn nog in de bodem aanwezig. Ook is er mogelijk sprake van intacte graven van het kerkhof op een dieper niveau. Wanneer er in de toekomst grondverzet plaats zal vinden op deze locatie of op een andere plek bij de kerk dan kan dit meer informatie opleveren over de (voorgangers) van de kerk, de fasering en ontwikkeling van de kerk en het omliggende kerkhof.&lt;/p&gt;
DOI: 10.6084/m9.figshare.30674928
title: A re-evaluation of the notosuchian crocodyliform <i>Eremosuchus elkoholicus</i> from the lower Eocene of Algeria and the evolutionary and biogeographic history of sebecids

description: Notosuchian systematics have been highly debated in recent decades, particularly the placement of sebecids and closely related species. As the only notosuchian lineage to have survived the Cretaceous–Paleogene mass extinction, reconciliation of conflicting views on the group’s relationships is required to better understand extinction selectivity. Here, we redescribe and newly diagnose <i>Eremosuchus elkoholicus</i> from the Lower Eocene El Kohol Formation of Algeria, known from the holotypic dentary and several referred remains. A new, smaller dentary is also considered to represent an immature individual of this species, providing a rare notosuchian ontogenetic series. <i>Eremosuchus</i> is incorporated into one of the largest notosuchian-focused character-taxon matrices yet to be compiled, comprising 450 characters and 130 taxa. Focus is placed on improved sampling of mandibular characters and putative sebecids, especially frequently neglected taxa from Europe and Africa. Phylogenetic analyses, incorporating continuous characters, consistently recover <i>Eremosuchus elkoholicus</i> as a sebecid, though its precise position within this clade is uncertain. Under equal weighting, Sebecidae is recovered as the sister taxon to all other notosuchians, whereas a monophyletic Sebecosuchia is retrieved using extended implied weighting. The latter weighting approach finds the early Paleogene South American species, <i>Lorosuchus nodosus</i> and <i>Sahitisuchus fluminensis</i>, within Peirosauria, which would indicate the survival of a second notosuchian lineage across the Cretaceous/Paleogene boundary. The taxonomic and spatiotemporal expansion of Sebecidae via the inclusion of fragmentary material from Africa and Europe hints at a more complicated biogeographic and evolutionary history of the clade, and it remains unclear whether sebecids originated in Gondwana or Europe.
DOI: 10.6084/m9.figshare.30674928.v1
title: A re-evaluation of the notosuchian crocodyliform <i>Eremosuchus elkoholicus</i> from the lower Eocene of Algeria and the evolutionary and biogeographic history of sebecids

description: Notosuchian systematics have been highly debated in recent decades, particularly the placement of sebecids and closely related species. As the only notosuchian lineage to have survived the Cretaceous–Paleogene mass extinction, reconciliation of conflicting views on the group’s relationships is required to better understand extinction selectivity. Here, we redescribe and newly diagnose <i>Eremosuchus elkoholicus</i> from the Lower Eocene El Kohol Formation of Algeria, known from the holotypic dentary and several referred remains. A new, smaller dentary is also considered to represent an immature individual of this species, providing a rare notosuchian ontogenetic series. <i>Eremosuchus</i> is incorporated into one of the largest notosuchian-focused character-taxon matrices yet to be compiled, comprising 450 characters and 130 taxa. Focus is placed on improved sampling of mandibular characters and putative sebecids, especially frequently neglected taxa from Europe and Africa. Phylogenetic analyses, incorporating continuous characters, consistently recover <i>Eremosuchus elkoholicus</i> as a sebecid, though its precise position within this clade is uncertain. Under equal weighting, Sebecidae is recovered as the sister taxon to all other notosuchians, whereas a monophyletic Sebecosuchia is retrieved using extended implied weighting. The latter weighting approach finds the early Paleogene South American species, <i>Lorosuchus nodosus</i> and <i>Sahitisuchus fluminensis</i>, within Peirosauria, which would indicate the survival of a second notosuchian lineage across the Cretaceous/Paleogene boundary. The taxonomic and spatiotemporal expansion of Sebecidae via the inclusion of fragmentary material from Africa and Europe hints at a more complicated biogeographic and evolutionary history of the clade, and it remains unclear whether sebecids originated in Gondwana or Europe.
DOI: 10.15468/dl.pry4g9
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Material citation, Material sample, Human Observation, Machine Observation, Observation)",
 "Geometry POLYGON((54.00841 13.29263,64.59803 19.90806,60 28,47.49317 31.06053,54.00841 13.29263))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrophis",
 "Year 2010-2020"
 ]
}

 The dataset's 7 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001971-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15682.24008
title: ADIN ADRIAN 2303060065
DOI: 10.15468/dl.r27ja7
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus ijimae",
 "Year 2024-2025"
 ]
}

 The dataset includes 251 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001976-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17494657
title: Blind stamps dataset

description: Dataset combines real exemplar stamp crops (photographs of controlled physical impressions of each documented Rajman tool) with automated synthetic composition to produce annotated training, validation and test images. The physical impressions were produced by pressing each documented metal stamp onto prepared leather or leather-like sheets and photographing the results; those exemplar crops (and masks) are used as building blocks for synthetic images. Two synthetic pipelines were implemented:

Procedural Compositional Synthesis (PCS): authentic stamp crops are rotated (no rescaling), blended seam-preservingly onto synthesized leather-like canvases (patch-quilting from source backgrounds or gradient fallback), and globally/localy photometrically augmented (brightness/contrast, hue shifts, additive noise, blur). Seamless cloning / feathered alpha blending and Poisson-style compositing are used to reduce cut-and-paste artifacts. Automatic annotation export produces tight bounding boxes and class labels for every placed stamp. 

Background-Normalized Synthetic Stamping (BNS): stamp crops are foreground-segmented and edge-conditioned (Otsu or adaptive thresholding with fill-ratio checks), isolated from local background, and composited onto synthetic gray-noise substrates with instance-specific noise amplitude and optional low-frequency shading. Local photometric perturbations simulate embossing contrast variability. Placement and annotation mirror PCS (bounding boxes + class labels). 

Contents and structure:Each generated image has an accompanying annotation text file (machine-produced) listing placed object instances as: tool_identifier, x_min, y_min, x_max, y_max (suitable for standard object detection frameworks). The dataset also provides (for every stamp exemplar) the crop image and binary mask used as input primitives. Images are supplied in lossless image format (e.g., PNG) and annotations as UTF-8 text files (CSV / YOLO-compatible or PascalVOC-like files can be produced from the included annotations). 

Splits and sample counts:The paper reports three training corpora (PCS, BNS, Combined) and gives the following per-corpus split:

Training: 700 imagesValidation: 150 imagesTest: 150 images.

The metadata description in txt format is included in the attached zip file.
DOI: 10.5281/zenodo.17494656
title: Blind stamps dataset

description: Dataset combines real exemplar stamp crops (photographs of controlled physical impressions of each documented Rajman tool) with automated synthetic composition to produce annotated training, validation and test images. The physical impressions were produced by pressing each documented metal stamp onto prepared leather or leather-like sheets and photographing the results; those exemplar crops (and masks) are used as building blocks for synthetic images. Two synthetic pipelines were implemented:

Procedural Compositional Synthesis (PCS): authentic stamp crops are rotated (no rescaling), blended seam-preservingly onto synthesized leather-like canvases (patch-quilting from source backgrounds or gradient fallback), and globally/localy photometrically augmented (brightness/contrast, hue shifts, additive noise, blur). Seamless cloning / feathered alpha blending and Poisson-style compositing are used to reduce cut-and-paste artifacts. Automatic annotation export produces tight bounding boxes and class labels for every placed stamp. 

Background-Normalized Synthetic Stamping (BNS): stamp crops are foreground-segmented and edge-conditioned (Otsu or adaptive thresholding with fill-ratio checks), isolated from local background, and composited onto synthetic gray-noise substrates with instance-specific noise amplitude and optional low-frequency shading. Local photometric perturbations simulate embossing contrast variability. Placement and annotation mirror PCS (bounding boxes + class labels). 

Contents and structure:Each generated image has an accompanying annotation text file (machine-produced) listing placed object instances as: tool_identifier, x_min, y_min, x_max, y_max (suitable for standard object detection frameworks). The dataset also provides (for every stamp exemplar) the crop image and binary mask used as input primitives. Images are supplied in lossless image format (e.g., PNG) and annotations as UTF-8 text files (CSV / YOLO-compatible or PascalVOC-like files can be produced from the included annotations). 

Splits and sample counts:The paper reports three training corpora (PCS, BNS, Combined) and gives the following per-corpus split:

Training: 700 imagesValidation: 150 imagesTest: 150 images.

The metadata description in txt format is included in the attached zip file.
DOI: 10.5281/zenodo.17669867
title: Energy Domain Datasets

description: This is new benchmark datasets derived from real‑world energy industry sources to foster reproducible evaluation and accelerate future research.
DOI: 10.5281/zenodo.17669866
title: Energy Domain Datasets

description: This is new benchmark datasets derived from real‑world energy industry sources to foster reproducible evaluation and accelerate future research.
DOI: 10.5281/zenodo.17494608
title: Potatoes Dataset

description: The dataset contains color images of potatoes captured on an industrial conveyor sorting line under real post-harvest conditions. It was created for developing and evaluating machine learning models for automatic potato quality classification using deep learning methods.

Images were acquired using a Basler Ace series industrial camera positioned perpendicularly to the sorting belt to avoid perspective distortion. The dataset includes both cleaned (washed) and unwashed potatoes to represent real-world variability caused by soil type, harvesting conditions, and surface contamination. Additional non-potato objects such as stones, clods of earth, and plant residues were included to reflect the natural environment of sorting lines.

Each object in the dataset was manually annotated and categorized into one of four classes:Good – healthy, undamaged potatoes, suitable for market saleDamaged – potatoes with visible mechanical or biological defects (cut, rotten, or diseased)Plant – plant residues, potato tops, weeds, or leavesStone – stones or soil clods visually similar to potatoes

The dataset is divided into the following subsets:Training set – mixed images of cleaned and unwashed potatoesValidation set – mixed samples used for model tuningTest sets – three independent parts:Cleaned test set – only cleaned potatoesUnwashed test set – only unwashed potatoesCombined test set – a mixture of both domains

The metadata description in txt format is included in the attached zip file.