cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29516558.v4
title: Data for: Plant and soil elemental coupling in response to experimentally altered precipitation and root herbivory in an Australian grassland

description: This dataset contains measurements of plant and soil elemental composition collected from a rainfall and root herbivore manipulation experiment conducted in a native temperate grassland in eastern Australia. The experiment ran for three years (2014–2016) and consisted of factorial combinations of rainfall treatments (Ambient, Reduced amount, Reduced frequency) and root herbivory treatments (presence/absence of root herbivores), across 36 experimental plots.Soil and plant samples were collected annually at the end of the growing season. A suite of macro- and micronutrients (e.g., C, N, P, K, Mg, S, Ca, Fe, Mn, Zn, Cu, B, Na, Mo, Al) was measured in both soil and plant material.
DOI: 10.6084/m9.figshare.30848939
title: Data_Geriatric_Horse_Dental

description: Excel file with raw data of horses undergoing extraction of cheek teeth
DOI: 10.6084/m9.figshare.30848939.v1
title: Data_Geriatric_Horse_Dental

description: Excel file with raw data of horses undergoing extraction of cheek teeth
DOI: 10.5281/zenodo.17879127
title: Abwassersurveillance AMELAG

description: Im Datensatz "Abwassersurveillance AMELAG" des Robert Koch-Instituts und Umweltbundesamts werden Daten aus der Überwachung von Infektionserregern im Abwasser bereitgestellt. Die Daten zur SARS-CoV-2-Viruslast werden seit Februar 2022 in einem bundesweiten Netzwerk von Kläranlagen, Laboren und Behörden erhoben. Seitdem wurden die Daten um die Viruslast weiterer respiratorischer Viren (Influenza A/B, RSV) ergänzt. Der Datensatz enthält neben Einzelwerten der Kläranlagen auch bevölkerungsgewichtete, aggregierte Zeitreihen. Darüber hinaus werden Auswertungsskripte als Kontextmaterialien bereitgestellt.
DOI: 10.5281/zenodo.16963928
title: Reference UnderWater Dataset (RUWD)

description: The RUWD (Reference UnderWater Dataset) for RGB images and Depth provides paired in-air and underwater RGB-D images captured under a structured experimental setup to analyze underwater image degradation. It is designed to support research in underwater image enhancement, object detection, stereo depth estimation, and machine perception.

The dataset consists of images collected using a stereo RGB-D camera (ZED 2i) in both in-air and underwater environments, across varying lighting conditions (L1 ~500 lm, L2 ~1000 lm, L3 ~1500 lm, and no_light), object distances (0.55 m, 0.85 m, 1.15 m), and scene complexities including single-object, double-object, triple-object, and no-object scenarios. Each image pair is accompanied by corresponding depth maps and calibration files.

Images are organized into folders based on:



Domain: in_air / underwater

Lighting: L1, L2, L3, no_light

Distance: 0.55m, 0.85m, 1.15m (not present in no_object category)

Object Class: single_object / double_object / triple_object / no_object

Camera Side: left / right


 

Each subfolder includes:



RGB images: left_0.png, right_0.png

Depth maps: aligned disparity or depth images


The dataset enables channel-wise color analysis, inter-channel color ratio analysis, contrast and sharpness analysis, and performance benchmarking under realistic underwater image degradation scenarios.

This dataset is approximately 60 GB in size and is best suited for researchers developing and validating underwater computer vision algorithms with a focus on realism, reproducibility, and task fidelity.
DOI: 10.5281/zenodo.16963927
title: Reference UnderWater Dataset (RUWD)

description: The RUWD (Reference UnderWater Dataset) for RGB images and Depth provides paired in-air and underwater RGB-D images captured under a structured experimental setup to analyze underwater image degradation. It is designed to support research in underwater image enhancement, object detection, stereo depth estimation, and machine perception.

The dataset consists of images collected using a stereo RGB-D camera (ZED 2i) in both in-air and underwater environments, across varying lighting conditions (L1 ~500 lm, L2 ~1000 lm, L3 ~1500 lm, and no_light), object distances (0.55 m, 0.85 m, 1.15 m), and scene complexities including single-object, double-object, triple-object, and no-object scenarios. Each image pair is accompanied by corresponding depth maps and calibration files.

Images are organized into folders based on:



Domain: in_air / underwater

Lighting: L1, L2, L3, no_light

Distance: 0.55m, 0.85m, 1.15m (not present in no_object category)

Object Class: single_object / double_object / triple_object / no_object

Camera Side: left / right


 

Each subfolder includes:



RGB images: left_0.png, right_0.png

Depth maps: aligned disparity or depth images


The dataset enables channel-wise color analysis, inter-channel color ratio analysis, contrast and sharpness analysis, and performance benchmarking under realistic underwater image degradation scenarios.

This dataset is approximately 60 GB in size and is best suited for researchers developing and validating underwater computer vision algorithms with a focus on realism, reproducibility, and task fidelity.
DOI: 10.18150/vxuaoh
title: Content of selected macroelements in wood fragments

description: Content [mg kg-1] of selected elements (macroelements) in 3 cm fragments of cores taken from the height of the breast height of trees growing along busy roads in the city of Poznań. Wood samples in the form of core drills with a diameter of 5.15 mm, taken from the breast height (1.3 m from the base of the trees) of the main trunks. Boreholes taken with a Pressler increment borer (MORA Haglof 600 mm) from the bark towards the core of the tree. Trees growing along busy roads belonging to the Municipal Roads Authority in Poznań were selected for the study.
DOI: 10.5281/zenodo.17878702
title: WRF-Downscaled CMIP5 (MIROC5 & CCSM4) Temperature and Precipitation Projections for the Subbasins of the Sakarya Basin, Turkiye (2020–2100)

description: This dataset provides bias-corrected, dynamically downscaled temperature (°C) and precipitation (mm) projections for the seven subbasins of the Sakarya Basin, derived from the CMIP5 global climate models MIROC5 and CCSM4. The projections were downscaled to 18-km spatial resolution using the Weather Research and Forecasting (WRF) model, which was specifically calibrated for the hydroclimatic characteristics of the Sakarya Basin. The dataset includes monthly temperature and precipitation time series for three future windows—2020–2030, 2055–2065, and 2090–2100—corresponding to near-, mid-, and late-century conditions. A total of 14 bias-corrected CSV files are provided, representing separate projections for each subbasin and each climate variable. The projections cover seven hydrologically distinct subbasins of the Sakarya Basin, identified using the following abbreviations:

ASAK – Lower Sakarya,GOK – Goksu,OSAK – Middle Sakarya,KIR – Kirmir,ANK – Ankara,POR – Porsuk,YSAK – Upper Sakarya.These data products are suitable for hydrological modeling, climate risk assessments, and interdisciplinary analyses such as WEFE nexus evaluations, and are formatted to support reproducibility and transparent scientific use.
DOI: 10.5281/zenodo.17878703
title: WRF-Downscaled CMIP5 (MIROC5 & CCSM4) Temperature and Precipitation Projections for the Subbasins of the Sakarya Basin, Turkiye (2020–2100)

description: This dataset provides bias-corrected, dynamically downscaled temperature (°C) and precipitation (mm) projections for the seven subbasins of the Sakarya Basin, derived from the CMIP5 global climate models MIROC5 and CCSM4. The projections were downscaled to 18-km spatial resolution using the Weather Research and Forecasting (WRF) model, which was specifically calibrated for the hydroclimatic characteristics of the Sakarya Basin. The dataset includes monthly temperature and precipitation time series for three future windows—2020–2030, 2055–2065, and 2090–2100—corresponding to near-, mid-, and late-century conditions. A total of 14 bias-corrected CSV files are provided, representing separate projections for each subbasin and each climate variable. The projections cover seven hydrologically distinct subbasins of the Sakarya Basin, identified using the following abbreviations:

ASAK – Lower Sakarya,GOK – Goksu,OSAK – Middle Sakarya,KIR – Kirmir,ANK – Ankara,POR – Porsuk,YSAK – Upper Sakarya.These data products are suitable for hydrological modeling, climate risk assessments, and interdisciplinary analyses such as WEFE nexus evaluations, and are formatted to support reproducibility and transparent scientific use.
DOI: 10.5281/zenodo.17879073
title: LCA4BIO_D2.2 Annex III_Set of circularity indicators for Bio-based systems and guidance document for sustainability assessment of circular bio based strategies
DOI: 10.5281/zenodo.17879074
title: LCA4BIO_D2.2 Annex III_Set of circularity indicators for Bio-based systems and guidance document for sustainability assessment of circular bio based strategies
DOI: 10.5281/zenodo.17879156
title: A Global Study on Football Monitoring Practices: Perspectives from Fitness and Sport Science Professionals
DOI: 10.5281/zenodo.17879157
title: A Global Study on Football Monitoring Practices: Perspectives from Fitness and Sport Science Professionals
DOI: 10.5281/zenodo.17877725
title: Stark Modulation of Polariton Condensate: Measured Differential Reflectivity

description: Differential reflectivity at varying probe intensity. Details are provided in the excel file.
DOI: 10.5281/zenodo.17877726
title: Stark Modulation of Polariton Condensate: Measured Differential Reflectivity

description: Differential reflectivity at varying probe intensity. Details are provided in the excel file.
DOI: 10.21942/uva.30848924.v1
title: Replication package for "A Wind Tunnel Test of Wind Farm Auctions"

description: Globally, governments increasingly rely on auctions to advance renewable energy. We study the design of wind farm auctions and analyze the impact of price guarantees and subsidies. While in the theoretical analysis the price guarantee has no effect, our laboratory experiment suggests that it improves efficiency and often increases production and revenue. The price guarantee turns out to nullify correlations between participants' willingness to take risks and their bids, which, in turn, improves efficiency relative to the case without price guarantee. The subsidy is less effective than suggested by theory. Bidders with a higher valuation tend to bid more conservatively than the equilibrium prediction, thus neutralizing the efficiency-enhancing effect of the subsidy. Our results mayhave implications for other auctions in which rights are allocated to enter markets characterized by heavy upfront investments and uncertainty about future payoffs.
DOI: 10.21942/uva.30848924
title: Replication package for "A Wind Tunnel Test of Wind Farm Auctions"

description: Globally, governments increasingly rely on auctions to advance renewable energy. We study the design of wind farm auctions and analyze the impact of price guarantees and subsidies. While in the theoretical analysis the price guarantee has no effect, our laboratory experiment suggests that it improves efficiency and often increases production and revenue. The price guarantee turns out to nullify correlations between participants' willingness to take risks and their bids, which, in turn, improves efficiency relative to the case without price guarantee. The subsidy is less effective than suggested by theory. Bidders with a higher valuation tend to bid more conservatively than the equilibrium prediction, thus neutralizing the efficiency-enhancing effect of the subsidy. Our results mayhave implications for other auctions in which rights are allocated to enter markets characterized by heavy upfront investments and uncertainty about future payoffs.
DOI: 10.5281/zenodo.17863653
title: Provided the dump file for step 60W and the original data for the force
DOI: 10.5281/zenodo.17863652
title: Provided the dump file for step 60W and the original data for the force
DOI: 10.5281/zenodo.17874668
title: Data from: Adsorption Hysteresis Under Control: Tuning Host—Guest Interactions via a Genetic Algorithm
DOI: 10.15468/dl.beg5s9
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Roscoea purpurea"
 ]
}

 The dataset includes 49 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044492-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpe3z2
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erinaceusyllis belizensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044491-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y23tyq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erinaceusyllis cryptica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044495-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7s2a9
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragelaphus buxtoni",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 156 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044496-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2253f
title: Occurrence Download

description: A dataset containing 15606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((24.04847 57.03477, 24.03386 57.03477, 24.02552 57.01447, 24.06933 57.01447, 24.06516 57.00432, 24.07976 57.00432, 24.07142 56.98403, 24.05682 56.98403, 24.05265 56.97389, 24.03806 56.97389, 24.00887 56.97389, 24.00471 56.96374, 23.99012 56.96374, 23.98597 56.9536, 24.00056 56.9536, 23.99226 56.93331, 24.02143 56.93331, 24.01728 56.92317, 24.07561 56.92317, 24.07146 56.91304, 24.08604 56.91304, 24.07358 56.88262, 24.08815 56.88262, 24.0923 56.89276, 24.10688 56.89276, 24.11104 56.9029, 24.14019 56.9029, 24.13603 56.89276, 24.1506 56.89276, 24.15477 56.9029, 24.1985 56.9029, 24.19433 56.89276, 24.2089 56.89276, 24.22348 56.89276, 24.23602 56.92317, 24.22144 56.92317, 24.234 56.9536, 24.24859 56.9536, 24.26118 56.98403, 24.24659 56.98403, 24.24239 56.97389, 24.2132 56.97389, 24.21739 56.98403, 24.20279 56.98403, 24.20699 56.99418, 24.19239 56.99418, 24.19658 57.00432, 24.15277 57.00432, 24.15696 57.01447, 24.14236 57.01447, 24.15074 57.03477, 24.10691 57.03477, 24.11109 57.04492, 24.08187 57.04492, 24.08605 57.05507, 24.05682 57.05507, 24.04847 57.03477))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 15606 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044493-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc7kf7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.061 2.792176, 117.990654 2.786607, 117.922043 2.770037, 117.856856 2.742876, 117.796701 2.705792, 117.743059 2.659699, 117.697252 2.605733, 117.660406 2.545225, 117.633428 2.479663, 117.616982 2.410665, 117.61147 2.339928, 117.617027 2.269194, 117.633513 2.200205, 117.660522 2.13466, 117.697388 2.074171, 117.743203 2.020227, 117.796838 1.974156, 117.856973 1.937092, 117.922127 1.909946, 117.990699 1.893387, 118.061 1.887821, 118.131301 1.893387, 118.199873 1.909946, 118.265027 1.937092, 118.325162 1.974156, 118.378797 2.020227, 118.424612 2.074171, 118.461478 2.13466, 118.488487 2.200205, 118.504973 2.269194, 118.51053 2.339928, 118.505018 2.410665, 118.488572 2.479663, 118.461594 2.545225, 118.424748 2.605733, 118.378941 2.659699, 118.325299 2.705792, 118.265144 2.742876, 118.199957 2.770037, 118.131346 2.786607, 118.061 2.792176))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044494-251120083545085/datasets/export for details.
DOI: 10.15468/dl.3q5hgq
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.438 2.794176, 103.367654 2.788607, 103.299042 2.772037, 103.233856 2.744876, 103.1737 2.707792, 103.120058 2.661699, 103.074251 2.607733, 103.037405 2.547225, 103.010428 2.481663, 102.993981 2.412665, 102.988469 2.341928, 102.994026 2.271194, 103.010512 2.202205, 103.037522 2.13666, 103.074388 2.076171, 103.120203 2.022227, 103.173837 1.976156, 103.233972 1.939092, 103.299127 1.911946, 103.367699 1.895387, 103.438 1.889821, 103.508301 1.895387, 103.576873 1.911946, 103.642028 1.939092, 103.702163 1.976156, 103.755797 2.022227, 103.801612 2.076171, 103.838478 2.13666, 103.865488 2.202205, 103.881974 2.271194, 103.887531 2.341928, 103.882019 2.412665, 103.865572 2.481663, 103.838595 2.547225, 103.801749 2.607733, 103.755942 2.661699, 103.7023 2.707792, 103.642144 2.744876, 103.576958 2.772037, 103.508346 2.788607, 103.438 2.794176))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044498-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4cae3
title: Occurrence Download

description: A dataset containing 11219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragelaphus strepsiceros",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 11219 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044497-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qap3af
title: Occurrence Download

description: A dataset containing 1328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erinaceusyllis erinaceus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1328 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044500-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hwj26
title: Occurrence Download

description: A dataset containing 1799456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthemum italicum, Helianthemum alpestre, Helleborus purpurascens, Hepatica nobilis, Heracleum sphondylium, Hieracium bifidum, Hieracium cymosum, Hieracium glabratum, Hieracium guthnickianum, Hieracium murorum, Hieracium pannosum, Hieracium scorzonerifolium, Hippocrepis comosa, Homogyne alpina, Geocaryum cynapioides, Huperzia selago)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1799456 records from 3639 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044479-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sajgf
title: Occurrence Download

description: A dataset containing 2519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brunnichia ovata (Walter) Shinners"
 ]
}

 The dataset includes 2519 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101085-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr3sx9
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Liobagrus hyeongsanensis Kim, Kim & Park, 2015)"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014465-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2jzg00
title: CSD 2352962: Experimental Crystal Structure Determination

description: Related Article: Simeon Ponou|2024|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.3v88yt
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kaestlea bilineata (Gray, 1846)"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293324-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9pp7y
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brunoniella linearifolia R.M.Barker"
 ]
}

 The dataset includes 173 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101091-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.