cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cjuhh5
title: Occurrence Download

description: A dataset containing 2691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cercyonis pegala Fabricius, 1775"
 ]
}

 The dataset includes 2691 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0332860-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5btpvq
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inocybe obscurobadia (J.Favre) Grund & D.E.Stuntz)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 344 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166502-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9w8rz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia chrysanthoides Hung T.Chang"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171410-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2io5f
title: Occurrence Download

description: A dataset containing 38486 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Senegalia mellifera (Vahl) Seigler & Ebinger",
 "TaxonKey is Senegalia nigrescens (Oliv.) P.J.H.Hurter",
 "TaxonKey is Vachellia karroo (Hayne) Banfi & Galasso",
 "TaxonKey is Vachellia borleae (Burtt Davy) Kyal. & Boatwr.",
 "TaxonKey is Vachellia sieberiana (DC.) Kyal. & Boatwr.",
 "TaxonKey is Vachellia robusta (Burch.) Kyal. & Boatwr.",
 "TaxonKey is Vachellia nilotica (L.) P.J.H.Hurter & Mabb.",
 "TaxonKey is Vachellia erioloba (E.Mey.) P.J.H.Hurter",
 "TaxonKey is Senegalia erubescens (Welw. ex Oliv.) Kyal. & Boatwr.",
 "TaxonKey is Senegalia burkei (Benth.) Kyal. & Boatwr.",
 "TaxonKey is Vachellia tortilis (Forssk.) Galasso & Banfi",
 "TaxonKey is Vachellia grandicornuta (Gerstner) Seigler & Ebinger",
 "TaxonKey is Vachellia exuvialis (Verd.) Kyal. & Boatwr.",
 "TaxonKey is Terminalia sericea Burch. ex DC.",
 "TaxonKey is Combretum molle R.Br. ex G.Don",
 "TaxonKey is 698502",
 "TaxonKey is Combretum hereroense Schinz",
 "TaxonKey is Combretum apiculatum Sond."
 ]
}

 The dataset includes 38486 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003643-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyzgrp
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles grabhamii",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17988285
title: PCB-IND: Photovoltaic PCB Defect Dataset for YOLO, VOC, and COCO Formats

description: The PCB-IND dataset contains 4789 industrial PCB images annotated for 8 defect types: mouse_bite, missing_copper, scratch, spurious_copper, copper_burr, stain, short, and open. Images are split into train (3833 images), val (478 images), and test (478 images) sets. The dataset is provided in YOLO, VOC, and COCO formats for deep learning applications in defect detection. Each image is 300x300 pixels. The dataset is licensed under CC BY 4.0.
DOI: 10.5281/zenodo.18000850
title: PCB-IND: Photovoltaic PCB Defect Dataset for YOLO, VOC, and COCO Formats

description: The PCB-IND dataset contains 4789 industrial PCB images annotated for 8 defect types: mouse_bite, missing_copper, scratch, spurious_copper, copper_burr, stain, short, and open. Images are split into train (3833 images), val (478 images), and test (478 images) sets. The dataset is provided in YOLO, VOC, and COCO formats for deep learning applications in defect detection. Each image is 300x300 pixels. The dataset is licensed under CC BY 4.0.
DOI: 10.15468/dl.4zpgt5
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles hancocki",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pqpmj
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles hyrcanus",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 138 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fctjdd
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles labranchiae",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 232 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061589-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18000829
title: L'Itinerarium di Federico II di Svevia (1228-1229) - XML
title: Narratio qualiter imperator Federicus reacquisivit regnum sibi rebellatum quando accessit ad acquirendum Ierusalem et sepulcrum Cristi

description: TEI-XML edition of the Itinerarium of Frederick II of Hohenstaufen (1228–1229), that is, of the Narratio qualiter imperator Federicus reacquisivit regnum sibi rebellatum quando accessit ad acquirendum Ierusalem et sepulcrum Christi.Digital edition available at: https://aracne.atcult.it/exist/apps/aracne/sites/ara14/index.html
DOI: 10.5281/zenodo.18000830
title: L'Itinerarium di Federico II di Svevia (1228-1229) - XML
title: Narratio qualiter imperator Federicus reacquisivit regnum sibi rebellatum quando accessit ad acquirendum Ierusalem et sepulcrum Cristi

description: TEI-XML edition of the Itinerarium of Frederick II of Hohenstaufen (1228–1229), that is, of the Narratio qualiter imperator Federicus reacquisivit regnum sibi rebellatum quando accessit ad acquirendum Ierusalem et sepulcrum Christi.Digital edition available at: https://aracne.atcult.it/exist/apps/aracne/sites/ara14/index.html
DOI: 10.15468/dl.7es3g8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles litoralis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061590-251120083545085/datasets/export for details.
DOI: 10.15468/dl.56yzr8
title: Occurrence Download

description: A dataset containing 599151 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LACM Vertebrate Collection"
 ]
}

 The dataset includes 599151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7uuhs
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Toona sinensis"
 ]
}

 The dataset includes 766 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061591-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc7ncg
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles maculipalpis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061592-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18000808
title: GCN-ID: A Benchmark Dataset for Great Crested Newt Re-Identification Using AI Foundation Models

description: Great crested newts (Triturus cristatus) are a long-lived species of Class Amphibia and are protected by wildlife legislation across Europe. A key bioindicator of the health of the environment, great crested newts (GCN) have experienced significant population declines. Individual GCNs can be differentiated based on their unique orange-yellow underbelly markings with black blotching patternisation, but manually identification is time-consuming and requires domain knowledge. We collect and publicly release a comprehensive dataset of images (n = 1232) and videos (n = 1233) of GCNs(n=206different individuals) that can be used to develop AI models to aid in the autonomous identification of individuals of this species. Our data set comes with bounding boxes, segmentation masks, and multiple query-database splitting strategies. In addition, we propose two novel splitting methods that can be used to estimate performance inflation in the context of animal re-identification by: i) exploiting different biases in re-identification models; and ii) retrieving outlier samples with maximal difference in capture conditions. Using such splits, we show that the performance of State-of-the-Art (SoTA) foundation models for animal re-identification drops significantly (up to 36 percentage points for top-1 accuracy) when compared with random test splits. Nonetheless, we obtain a top-1 accuracy of 63% (top-5 of 83%) for the MegaDescriptor and a top-1 accuracy of 73% (top-5 of 93%) for the MiewID using the hardest bias-exploiting split with minimal data processing. This benchmarking exercise offers awareness of the effects of biases on accuracy estimation, but also encouraging baselines for future research on GCN re-identification based on AI foundation models.
DOI: 10.5281/zenodo.18000809
title: GCN-ID: A Benchmark Dataset for Great Crested Newt Re-Identification Using AI Foundation Models

description: Great crested newts (Triturus cristatus) are a long-lived species of Class Amphibia and are protected by wildlife legislation across Europe. A key bioindicator of the health of the environment, great crested newts (GCN) have experienced significant population declines. Individual GCNs can be differentiated based on their unique orange-yellow underbelly markings with black blotching patternisation, but manually identification is time-consuming and requires domain knowledge. We collect and publicly release a comprehensive dataset of images (n = 1232) and videos (n = 1233) of GCNs(n=206different individuals) that can be used to develop AI models to aid in the autonomous identification of individuals of this species. Our data set comes with bounding boxes, segmentation masks, and multiple query-database splitting strategies. In addition, we propose two novel splitting methods that can be used to estimate performance inflation in the context of animal re-identification by: i) exploiting different biases in re-identification models; and ii) retrieving outlier samples with maximal difference in capture conditions. Using such splits, we show that the performance of State-of-the-Art (SoTA) foundation models for animal re-identification drops significantly (up to 36 percentage points for top-1 accuracy) when compared with random test splits. Nonetheless, we obtain a top-1 accuracy of 63% (top-5 of 83%) for the MegaDescriptor and a top-1 accuracy of 73% (top-5 of 93%) for the MiewID using the hardest bias-exploiting split with minimal data processing. This benchmarking exercise offers awareness of the effects of biases on accuracy estimation, but also encouraging baselines for future research on GCN re-identification based on AI foundation models.
DOI: 10.15468/dl.w9rycc
title: Occurrence Download

description: A dataset containing 2164455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 39.085278",
 "DecimalLatitude is less than or equal to 44.085278",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 2164455 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061581-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17699547
title: Drag (Savonius) wind turbine - various performance results

description: The following data set is a short compilation of various drag wind turbine, also known as Savonius turbines, parameters. 15 sources were consulted for this data, for a total of 147 observations and 9 variables. The collected variables are:



The actual (as given) maximum dynamic moment coefficient.

The actual (as given) near static dynamic moment coefficient.

The actual (as given) static moment coefficient.

The projected (extrapolated) ideal static moment coefficient.

The actual (as given) final tip-speed-ratio.

The projected (extrapolated) final tip-speed-ratio.

The given coefficient of power.

The given optimal tip-speed-ratio.


Some of the observations may lack some of the above variables, in which case, they are denoted with NA. Caution is needed when dealing with the extrapolated data as graphical extraction was used to obtain this data and is thus subject to discretization. The data set also includes additional information relative to the observation itself, including:



The source it came from.

The section and/or source test it came from.

Whether the observation corresponds to a lone drag turbine or configued drag turbine, where:



Lone turbines consists of drag turbine that are exposed to an unmodified air flow and whos performance is primarly derived from its design alone.

Configured turbines consist of drag turbines who's exposed air flow is modified through equipments (e.g.: baffles, shrouds) or arrangements (e.g.:arrays).




This data set should only serve as a fundation for light reviews of drag (Savonius) wind turbines due to the limited numbers of sources, some of which are unpublished.
DOI: 10.5281/zenodo.17699548
title: Drag (Savonius) wind turbine - various performance results

description: The following data set is a short compilation of various drag wind turbine, also known as Savonius turbines, parameters. 15 sources were consulted for this data, for a total of 147 observations and 9 variables. The collected variables are:



The actual (as given) maximum dynamic moment coefficient.

The actual (as given) near static dynamic moment coefficient.

The actual (as given) static moment coefficient.

The projected (extrapolated) ideal static moment coefficient.

The actual (as given) final tip-speed-ratio.

The projected (extrapolated) final tip-speed-ratio.

The given coefficient of power.

The given optimal tip-speed-ratio.


Some of the observations may lack some of the above variables, in which case, they are denoted with NA. Caution is needed when dealing with the extrapolated data as graphical extraction was used to obtain this data and is thus subject to discretization. The data set also includes additional information relative to the observation itself, including:



The source it came from.

The section and/or source test it came from.

Whether the observation corresponds to a lone drag turbine or configued drag turbine, where:



Lone turbines consists of drag turbine that are exposed to an unmodified air flow and whos performance is primarly derived from its design alone.

Configured turbines consist of drag turbines who's exposed air flow is modified through equipments (e.g.: baffles, shrouds) or arrangements (e.g.:arrays).




This data set should only serve as a fundation for light reviews of drag (Savonius) wind turbines due to the limited numbers of sources, some of which are unpublished.
DOI: 10.15468/dl.pkcw4k
title: Occurrence Download

description: A dataset containing 1648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles maculipennis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 1648 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061593-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17990379
title: DEEP FARM : OLIVE use case Dataset

description:  

This document provides a structured description of the datasets collected within the scope of the project. The aim is to ensure transparency, reproducibility, and proper understanding of the data by the users:

The datasets support research activities related to environmental monitoring and image-based analysis and consist of three main data types:



(i) weather sensor data,

(ii) drone-based imagery, and


Overview of Data Types

Weather Sensor Data

The weather and soil-related data used in this study were obtained from an Agricultural Sensor Station (FilizPro), an IoT-based monitoring system designed for field-levelenvironmental observation. The station provides continuous measurements of key parameters such as soil temperature and soil moisture, as well as weather-related indicators relevant to irrigation management, disease and frost risk assessment, and spraying time optimization.The technical brochure of the sensor station, detailing the device specifications and measured variables, is provided in the same folder for reference (agricultural-sensor-station pdf file).



Format: CSV

File location: Sensor_Data_raw

Temporal resolution: hourly

Coordinate information: 38.45235156772274, 27.198033270322433

The raw sensor files are provided without modification.


Drone Imagery

Aerial images were captured using an unmanned aerial vehicle (UAV) to support field-level observation and analysis. The drone used for image acquisition was the DJI Mavic 3M, manufactured by DJI Enterprise.The technical brochure and user manual of the UAV are provided in the same folder for reference (DJI_Mavic_3M_User_Manual_EN).A total of 11 field visits were conducted at the pilot farm for drone image acquisition. The dates of the visits are listed below:• 25 July 2024• 04 September 2024• 17 April 2025• 18 April 2025• 08 May 2025• 15 May 2025

• 29 May 2025• 16 July 2025• 11 September 2025• 25 September 2025• 12 November 2025



Format: JPG / PNG/TIF/PDF

File location: Drone_Images

Image resolution: [e.g., 4000 × 3000 pixels]


Intended Use & Scope of ReuseThe datasets are intended for research, analysis, and model development within the scope of the project.

Acknowledgment:This dataset was collected by the team at YASAR University as part of the Deep Farm Erasmus+ project.



Access to the dataset is restricted. Interested users may request access via Zenodo for research or educational purposes.