cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15324497
title: Demining Research Community Seeded Field: High-Resolution RGB, Thermal IR, and Multispectral Orthomosaics

description: Motivation & Field Design

The Demining Research Community’s seeded test field in Pawnee, Oklahoma, comprises 150 diverse explosive remnants of war (ERW) buried at systematically varied depths. Operated in partnership with the OSU Global Consortium for Explosive Hazard Mitigation, this site provides a well-characterized benchmark for the humanitarian mine-action community—enabling rigorous testing and comparison of remote-sensing methods and instruments for landmine and UXO detection.

Dataset Overview

This release includes fifteen orthomosaic datasets spanning three sensor modalities—visible (RGB), thermal infrared (TIR), and multispectral—collected over the seeded fields. All missions flew at 12 m altitude in grid patterns with 80 % frontlap and 75 % sidelap to maximize coverage and uniform ground-sampling distance (GSD).





RGB Imagery






Platforms: Autel EVO II Dual (RGB) and DJI Mavic 3E (wide-angle RGB)




GSD: 0.21 cm/pixel




Surveys: Six flights at intervals from immediate post-burial to one year




Flight Planning: Native Autel/DJI controller software





Thermal Infrared (TIR) Imagery






Platform: Autel EVO II Dual (TIR)




GSD: 0.37 cm/pixel




Surveys: Five flights covering pre-burial through one-year post-burial





Multispectral Imagery






Sensor: Parrot Sequoia (Green, Red, Red-Edge, NIR) mounted on DJI Phantom 3 Pro




GSD: 1.17 cm/pixel




Survey: Single mission at one year post-burial, flown via UgCS




All raw imagery were processed in Pix4D Mapper (2025) using:





3D Maps template for RGB




Thermal Camera template for TIR




Ag Multispectral template for Sequoia



Processed orthomosaics were imported into QGIS, georeferenced using six Trimble GNSS ground control points (linear transformation), and clipped to the study-area polygon to yield clean, rectangular outputs.

 

Orthomosaic Catalog








ID



Field



Sensor & Band



Timing (post burial of items)





3-1



Field 1



EVO II Dual RGB



0 days (pre-burial)





3-2



Field 1



EVO II Dual RGB



3 months





19-1



Field 2



Mavic 3E RGB



0 days





19-2



Field 2



Mavic 3E RGB



1 year





34-1



Field 3



Mavic 3E RGB 



0 days (pre-burial)





34-2



Field 3



Mavic 3E RGB



0 days





4-1



Field 1



EVO II Dual TIR 



0 days (pre-burial)





4-2



Field 1



EVO II Dual TIR



1 hour





4-3



Field 1



EVO II Dual TIR



3 months





18-1



Field 2



EVO II Dual TIR



1 year





18-2



Field 2



EVO II Dual TIR



1 year





30-1



Field 2



Sequoia RED



1 year





30-2



Field 2



Sequoia RED-EDGE



1 year





30-3



Field 2



Sequoia NIR



1 year





30-4



Field 2



Sequoia GREEN



1 year






 

Usage & CitationWhen using these orthomosaics, please cite the foundational field design paper:

Baur, J., Steinberg, G., Frucci, J., & Brinkley, A. (2023). An accessible seeded field for humanitarian mine action research. The Journal of Conventional Weapons Destruction, 27(3), 2.
DOI: 10.5281/zenodo.15324498
title: Demining Research Community Seeded Field: High-Resolution RGB, Thermal IR, and Multispectral Orthomosaics

description: Motivation & Field Design

The Demining Research Community’s seeded test field in Pawnee, Oklahoma, comprises 150 diverse explosive remnants of war (ERW) buried at systematically varied depths. Operated in partnership with the OSU Global Consortium for Explosive Hazard Mitigation, this site provides a well-characterized benchmark for the humanitarian mine-action community—enabling rigorous testing and comparison of remote-sensing methods and instruments for landmine and UXO detection.

Dataset Overview

This release includes fifteen orthomosaic datasets spanning three sensor modalities—visible (RGB), thermal infrared (TIR), and multispectral—collected over the seeded fields. All missions flew at 12 m altitude in grid patterns with 80 % frontlap and 75 % sidelap to maximize coverage and uniform ground-sampling distance (GSD).





RGB Imagery






Platforms: Autel EVO II Dual (RGB) and DJI Mavic 3E (wide-angle RGB)




GSD: 0.21 cm/pixel




Surveys: Six flights at intervals from immediate post-burial to one year




Flight Planning: Native Autel/DJI controller software





Thermal Infrared (TIR) Imagery






Platform: Autel EVO II Dual (TIR)




GSD: 0.37 cm/pixel




Surveys: Five flights covering pre-burial through one-year post-burial





Multispectral Imagery






Sensor: Parrot Sequoia (Green, Red, Red-Edge, NIR) mounted on DJI Phantom 3 Pro




GSD: 1.17 cm/pixel




Survey: Single mission at one year post-burial, flown via UgCS




All raw imagery were processed in Pix4D Mapper (2025) using:





3D Maps template for RGB




Thermal Camera template for TIR




Ag Multispectral template for Sequoia



Processed orthomosaics were imported into QGIS, georeferenced using six Trimble GNSS ground control points (linear transformation), and clipped to the study-area polygon to yield clean, rectangular outputs.

 

Orthomosaic Catalog








ID



Field



Sensor & Band



Timing (post burial of items)





3-1



Field 1



EVO II Dual RGB



0 days (pre-burial)





3-2



Field 1



EVO II Dual RGB



3 months





19-1



Field 2



Mavic 3E RGB



0 days





19-2



Field 2



Mavic 3E RGB



1 year





34-1



Field 3



Mavic 3E RGB 



0 days (pre-burial)





34-2



Field 3



Mavic 3E RGB



0 days





4-1



Field 1



EVO II Dual TIR 



0 days (pre-burial)





4-2



Field 1



EVO II Dual TIR



1 hour





4-3



Field 1



EVO II Dual TIR



3 months





18-1



Field 2



EVO II Dual TIR



1 year





18-2



Field 2



EVO II Dual TIR



1 year





30-1



Field 2



Sequoia RED



1 year





30-2



Field 2



Sequoia RED-EDGE



1 year





30-3



Field 2



Sequoia NIR



1 year





30-4



Field 2



Sequoia GREEN



1 year






 

Usage & CitationWhen using these orthomosaics, please cite the foundational field design paper:

Baur, J., Steinberg, G., Frucci, J., & Brinkley, A. (2023). An accessible seeded field for humanitarian mine action research. The Journal of Conventional Weapons Destruction, 27(3), 2.
DOI: 10.5281/zenodo.8323244
title: Orthomosaic of the Demining Research Community's seeded minefield

description: This orthomosaic was processed using Pix4Dmapper and georeferened in QGIS using ground control point coordinates collected with the Trimble- Geo7x. The seeded field consists of 150 diverse explosive remnants of war buried at systematic varying depths located in Pawnee, Oklahoma. The purpose of this field is to serve as a resource and benchmark to the humanitarian mine community, allowing researchers to thoroughly test methods and instruments for landmine and UXO detection. The field is operated by the Demining Research Community and the OSU Global Consortium for Explosive Hazard Mitigation.
DOI: 10.15468/dl.nvcumd
title: Occurrence Download

description: A dataset containing 53927 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cherleria L."
 ]
}

 The dataset includes 53927 records from 549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011719-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2vh-4kx-ds8
title: Zygodontomys J. A. Allen, 1897

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cw-nrn-gkg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1tv-5ct-wza
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dxt-3tc-eyj
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.26050/wdcc/hgr
title: Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau

description: Project: Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau - This project investigates how intelligent sponge city technologies can mitigate urban heat islands (UHI) in the Qinghai-Tibet Plateau. It aims to develop scalable models for climate-resilient urban planning in high-altitude regions through a series of targeted experiments.
Supported by grant LJ200080773 ('Intelligent Urban Rainwater Collection Module System Application'), this project develops a machine learning framework for urban heat island (UHI) prediction in sponge cities. The framework integrates thermal infrared remote sensing and meteorological data to jointly analyze UHI intensity and rainwater storage capacity, supporting ecological runoff management and heat mitigation strategies.
Summary: This experiment contains 30-meter resolution near-surface air temperature datasets for four glacier regions (Guliya, Aru, Naimona’nyi, Dunde) on the Qinghai-Tibet Plateau, derived by integrating in situ measurements (automatic weather stations and loggers; January-November 2019) with Landsat 8/9 thermal infrared data. The datasets, spanning elevations of 4,947–6,078 m and temperatures from −42°C to +16°C, address data gaps through masked nearest-neighbor interpolation and Kriging (for clustered outliers ≥5), with spatial smoothing to minimize observational noise. Validation against ground measurements employs Root Mean Square Error (RMSE) of °C and standard deviation (SD) of °C metrics, visualized via Temperature_Error graphs. The glaciers-representing diverse climatic zones-include Guliya (ice cap, westerlies-dominated), Aru (valley glacier), Naimona’nyi (Himalayan slopes), and Dunde (Qilian Mountains, transitional climate). Supported by elevation data from the Topographic Data of Qinghai-Tibet Plateau (2021) and temperature data from the GATP Dataset (doi:10.26050/WDCC/GATP). These spatially interpolated temperature distributions serve as a reference for assessing cryospheric and climate models in high-altitude regions.
DOI: 10.3535/22g-64b-1dj
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qz0-e1s-4b6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3t4-89t-frv
title: Lacertidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/alw-jb9-b6y
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fck-bjk-ryj
title: Oryzomys Baird, 1857

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/07c-7y4-1hs
title: Cervus elaphus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ga2-kpj-90x
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0q0-5wt-l1e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cvd-ty8-xem
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.zbdw9h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastromyzon monticola)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022561-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/r0c-zqx-x47
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtf-dzl-10g
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wac-me9-w5n
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hzz-694-m5q
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/szr-m5y-fgq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mfw-8kq-2st
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r0n-5gh-r1h
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0kn-cln-a5x
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3dr-6pb-z11
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/73f-90a-h6q
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j0q-spm-nje
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tad-dyk-79e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lwl-cl1-d1k
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zsz-aht-9t6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9xm-932-254
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ftf-tkd-e35
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yke-h3k-ttm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/109-3z3-v9l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vj3-nrw-j3p
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbl-2mn-bc4
title: †Prolagus Pomel, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qgv-d6e-8lz
title: Pseudopus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gnp-c4c-1a8
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fw7-cqc-xxa
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ktp-pwb-rv4
title: Myrichthys

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/29q-ap4-x3a
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/qrua5w
title: Low water overwintering bird counts 1999-2009 Stour and Orwell Estuaries

description: The population of waterbirds wintering in the Stour and Orwell Estuaries Special Protection Area is assessed as part of a programme by Harwich Haven Authority to conserve the Haven and its environment. Low water overwintering bird counts have been completed by Wilder Ecology, SWT Trading Ltd on behalf of Harwich Haven Authority. They have taken place annually from 1999/2000 to 2015/2016, then three-yearly until 2018/2019. Since 2021/2022, monitoring has continued annually.
DOI: 10.82144/1b3b1c70
title: Cetaceans sightings by boat since 2010

description: In the Black Sea the cetaceans are represented by three species, Phocoena phocoena relicta, Tursiops truncatus ponticus and Delphinus delphis ponticus.

The main threat and cause of decline for the Black Sea dolphins are the fishing nets, so-called bycatches.

For protection of the dolphin populations from Romanian Black Sea area in conformity with the objectives of the „National Action Plan for Conservation of Dolphins” and „Agreement on the Conservation of Cetaceans of the Black Sea, Mediterranean Sea and contiguous Atlantic 
Area”, with finance from European Union true the Sectorial Operational Programme – Environment, NGO "Mare Nostrum” started a series of activities in partnership with National Institute for Marine Research and Development „Grigore Antipa” Constanta, Danube Delta Biosphere Reserve Authority, National Agency for Fishing and Aquaculture, Natural Science Museum Complex „Dolphinarium” Constanta, Border Police Inspectorate of Constanta County. Among these activities the cetacean sightings  were collected either within dedicated ship-based or opportunistic surveys.  The data recorded between 2010 and 2020 are reported. Along the years the data were collected in the frame of the inhouse monitoring program, projects and private funding.
DOI: 10.82144/10e3d5b9
title: Cetaceans sightings from shore since 2010

description: In the Black Sea the cetaceans are represented by three species, Phocoena phocoena relicta, Tursiops truncatus ponticus and Delphinus delphis ponticus.

The main threat and cause of decline for the Black Sea dolphins are the 
fishing nets, so-called bycatches.
For protection of the dolphin populations from Romanian Black Sea area in conformity with the objectives of the "National Action Plan for Conservation of Dolphins" and "Agreement on the Conservation of Cetaceans of the Black Sea, Mediterranean Sea and contiguous Atlantic 
Area", with finance from European Union true the Sectorial Operational Programme – Environment, NGO "Mare Nostrum” started a series of activities in partnership with National Institute for Marine Research and Development "Grigore Antipa” Constanta, Danube Delta Biosphere Reserve Authority, National Agency for Fishing and Aquaculture, Natural Science Museum Complex "Dolphinarium” Constanta, Border Police Inspectorate of Constanta County. The data were collected mainly opportunistic and shared through the National Monitoring Network that we coordinate.
DOI: 10.82144/3d3bbf99
title: CIRCE Marine mammals off Spain 2001-2012

description: This dataset was collected during CIRCE's research survey on cetaceans with 
visual effort between 2001-2012.
DOI: 10.82144/a6722440
title: Short-beaked common dolphin in the northern Adriatic Sea 2010-2011

description: This dataset represents a female short-beaked common dolphin (<i>Delphinus delphis</i>) recorded in the northern Adriatic Sea, a region where the species has become extremely rare. The animal was sighted repeatedly in the two locations shown. It was initially sighted with a calf, at the 1st location, in the port of Monfalcone (northern Adriatic Sea). The two dolphins were repeatedly sighted there between June 2010 and January 2011, in an area of 1.2 km2. In February 2011, the calf disappeared, while the adult was subsequently repeatedly sighted between Monfalcone and the city of Trieste until September 2011, when it disappeared as well. A comparison with a catalog of 171 naturally marked short-beaked common dolphins from the Inner Ionian Sea Archipelago, Greece, revealed that the adult was encountered there in August 2008. If moving in a straight line, the animal would have traveled a minimum of 1000 km between the two sites. This is the longest documented movement for any individual of this species, worldwide.
DOI: 10.15468/dl.m5bkhp
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptinus bicinctus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081857-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/67y9-hk33
title: CHEWING MUSCLE DATASET

description: The efficiency of the mastication process in humansis closely linked to various physiological and psychological conditions.Inadequate chewing or inefficient muscle activation patternsin the muscles of mastication can serve as early indicatorsof potential health issues. Early detection of such inefficienciesenables healthcare professionals to identify underlying causes orsignals of other diseases. In this research, we explore a novelapplication of AI to analyze muscle efficiency during chewing,leveraging machine learning techniques to detect inefficiencies.With prior consent, we collected electromyography (EMG) datafrom 11 healthy subjects, four of whom had dental ailments thataffected their chewing efficiency. Rather than labeling all theirmasticatory muscles as inefficient, we focused on analyzing specificsignal properties to determine which muscles were impactedby inefficiencies. For this purpose, we developed and trained fourseparate classifier models, each corresponding to a specific muscleinvolved in mastication. Each model generates predictions regardingmuscle efficiency, and the results are further interpretedby identifying the top three contributing factors influencingthose predictions. These insights allow us to provide suggestionsregarding potential causes of chewing inefficiency. Our approachachieved a maximum classification accuracy of 95.23 in detectingmuscle efficiency, demonstrating the effectiveness of machinelearning in this domain. This research marks a significant steptoward using AI to support early diagnosis and personalizedtreatment for chewing-related issues.
DOI: 10.15468/dl.wllzqm
title: Occurrence Download

description: A dataset containing 393023272 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 393023272 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004746-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tyvpr
title: Occurrence Download

description: A dataset containing 52647 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dilleniaceae",
 "Year 1900-1990"
 ]
}

 The dataset includes 52647 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0406242-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.