Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
46
datasets available to search
ShareScore release 0.9.0
Dataset results
46 results for “fieldworks”
The distribution data of sandhill crane in Asia during non-breeding period from our fieldwork
<p>This data is the wintering distribution data of sandhill cranes collected by our research team in the fieldwork. The data has been used to publish an article in Peerj.</p>
Supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK.
<p>This dataset represents the supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK.</p> <p>Appendix A - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in 3D PDF format.<br> Appendix B - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in 3D PDF format.<br> Appendix C - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in .obj format.<br> Appendix D - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in .obj format.<br> Appendix E - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix F - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix G - This appendix represents the analytical conditions and geochronology data of the studied samples.</p>
Yamdena Fieldworks project
<p>This is a lexicon and a collection of annotated texts in Yamdena (ISO 639-1 code jmd), a language of Tanimbar Island in Indonesia. It contains translated and annotated texts and sentences from works by Petrus Drabbe (early 1900s), the Yayasan Pemberdayaan Masyarakat Desa (late 1990s and early 2000s) and from elicitation by Eline Visser (2022).</p> <p>The file can be read in Fieldworks language explorr (FLEx), software by SIL International. See https://software.sil.org/fieldworks/.</p>
Data from: Patterns of parental care in Neotropical glassfrogs: fieldwork alters hypotheses of sex-role evolution
Open the record for dataset details and reuse information.
Spatial Informatics Group (SIG)_Ethiopia - DEMO ONLY - informing fieldwork for NFI
This project was created to re-asess forest and forest change over the subplots of the old NFI sampling units.
Kruger National Park medium to large mammal species herd sizes & distances to the road - fieldwork data
<p>The dataset consists of systematically recorded presences, from a vehicle, of medium to large mammal species within the Kruger National Park. There is 401 tar and 369 dirt road points within the dataset. Each dataset point has data on species presence, estimated proximity of the animals to the road and herd sizes. Each point also has the following data: estimated cloud cover percentage, surface wetness, rain, co-ordinates, vegetation biome (savanna), road surface, distance to the nearest natural water source and the total number of vehicles passing that point within a 10 minute period.</p>
Hyperspectral data of sediment samples collected from Vigo fieldwork Sept. 2023
<h2>Abstract</h2> <p>Raw hyperspectral data of 9 sediment samples in HDF5 file format. The samples were collected by UPORTO and IGME from Vigo Campaign fieldwork in Sept. 2023 but they were scanned at Ecotone lab in Trondheim by Ecotone UHI in February 2024. The data was scanned for both dry and wet sediments.</p> <p>This depositry contains data generated within the European S34 project. The data are in raw form and have not been further processed. Processed data are published in other depositories.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Hyperspectral data of sediment samples collected from Vigo fieldwork Sept. 2023</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Raw hyperspectral data of 9 sediment samples. The samples were collected by UPORTO and IGME from Vigo Campaign fieldwork in Sept. 2023 but they were scanned at Ecotone lab in Trondheim with Ecotone UHI in February 2024. The data was scanned for both dry and wet sediments.</p> <p>This depositry contains data generated within the European S34 project. The data are in raw form and have not been further processed. Processed data are published in other depositories.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Raw hyperspectral data, sediments, sand, mineral resource</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p><a href="https://doi.org/10.5281/zenodo.13381973">https://doi.org/10.5281/zenodo.13381973</a></p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Mineral resources</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>16.02.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Fromat</p> </td> <td> <p>HDF5</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>2 mm (with UHI about 2 m away)</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>3035</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>no</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>no</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Ecotone As</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>Ecotone As</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Ecotone As, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Kruger National Park medium to large mammal species herd sizes & distances to the road - fieldwork data
Open the record for dataset details and reuse information.
Urbane Feldforschung: Urban Fieldwork: Quba-Lezgi
<p>The recordings enclosed were conducted by William-Philip Hesse with Lezgian native speaker and informant Elvin Ahmadov from Azerbaijan in partial fulfillment of the requirements of the course "Urbane Feldforschung" at the University of Cologne, which was under the instruction of Dr. Frank Seifart, at the Institute of Linguistics during the Winter term 2019/2020.</p> <p>This repository contains:</p> <ol> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_40_words_of_Swadesh_list_in_Kuba_Lezgic</strong><strong>:</strong><strong> </strong>40 ASJP words, as a shortened excerpt of the Swadesh-list providing an exemplary basic vocabulary of the language <ul> <li>.eaf</li> <li>_final_cut.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_children_poem_in_Kuba_Lezgic</strong><strong>:</strong> short, traditional children poem about the relation between apricots and friendship with morphological segmentation and glossing <ul> <li>.eaf</li> <li>.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_song_in_Kuba_Lezgic</strong><strong>:</strong> traditional folk song with transliteration and translation <ul> <li>.eaf</li> <li>.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>Documentation: </strong>elaboration and metadata<strong> </strong>about this elicitation project as well as the informant <ul> <li><strong>William-Philip_Hesse_Feldforschung_Uni_Köln_2019_Ethno-Soziolinguistische_Beschreibung_von_Quba_Lesgisch_und_dessen_Sprechern.pdf</strong>: An introductory PDF document with identification of the language and sociolinguistic information. </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_Feldforschung_Uni_Köln_2019_separate_Beschreibung_der_Ergebnisse_der_Ellizitationssession.pdf</strong>: separate description and evaluation of theellicitation sessions’s results, together with the informant</li> <li><strong>Personenmetadaten - Elvin Ahmadov - W.P.Hesse_und_E.Ahmadov_Quba_Lezgi.txt</strong>: Information about the informant (filled out by him)</li> <li><strong>Projektmetadaten - W.P.Hesse_und_E.Ahmadov_Quba_Lezgi.txt</strong>: Information abot the project and its’ purpose</li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_Projektinformationsblatt und Einverständniserklärung signiert.jpg</strong>: Informant's signed declaration of consent and the project information providedto him prior to the conduction </li> </ul> </li> </ol> <p> </p>
Urban Fieldwork in Cologne 2019
<p>Dieses Teilprojekt des Projekts „Urbane Feldforschung in Köln 2019“ befasst sich mit der koreanischen Sprache in Köln, beziehungsweise mit einem koreanischen Sprecher in Köln. Die Audiodateien enthalten eine annotierte Wortliste, sowie eine Elizitation zu den Sprechstufen des Koreanischen.</p>
Figurations of Digital Practice, Craft, and Agency in Two Mediterranean Fieldwork Projects
<p>Supplementary materials for the paper <em>Figurations of Digital Practice, Craft, and Agency in Two Mediterranean Fieldwork Projects</em>, published in Open Archaeology.</p>
Praomys delectorum capture-mark-recapture dataset from fieldwork on the Ukaguru Mountains, Tanzania.
<p><i>Praomys delectorum</i> occurs abundantly in both disturbed and intact forests in the Ukaguru Mountains within the Eastern Arc Mountains (EAM), Morogoro, Tanzania. While previous studies have reported that anthropogenic disturbance such as grazing, wood cutting and harvesting has a positive effect on the population density of <i>P. delectorum</i>, the impact of habitat disturbance on its demographic traits is still unknown. We performed a capture-mark-recapture study in both disturbed and intact forest from June 2018 to February 2020 in order to investigate the effects of habitat disturbance on abundance as well as two demographic traits: survival and maturation of <i>P. delectorum </i>in the Ukaguru Mountains. We found no variation in abundance or maturation between intact and disturbed forests, but habitat type did affect survival. However, this effect was sex-dependent since female survival was higher in disturbed forests while male survival remained similar across the two forest types potentially due to differences in predation pressure or food availability between the two habitats. Continuous demographic monitoring of <i>P. delectorum</i> in EAM is necessary given that the increasing human population surrounding the landscape is leading to higher deforestation rates, and expansion of the pine plantation in the forest reserve.</p>
Ethnographic fieldwork and its implications from the perspective of sexual studies
Open the record for dataset details and reuse information.
Data from Tenerife fieldwork into the succession of the El Chinyero lava flow (2024)
Open the record for dataset details and reuse information.
Lay Fieldworker Led School Health Program for Rural Primary Schools
ClinicalTrials.gov study NCT03423615. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Praomys delectorum capture-mark-recapture dataset from fieldwork on the Ukaguru Mountains, Tanzania.
Open the record for dataset details and reuse information.
Building Capacity of OT Students to Address Children's Mental Health During Fieldwork (OTFW)
ClinicalTrials.gov study NCT03170102. IPD Sharing: NO. Countries: 0. Publications: 0.
Fieldwork on right to repair
<p>This dataset contains the primary data collected for our Right to Repair (R2R) research project (25 interview transcripts as .docx files) as well as a sample of the codebook used for analysis (one file in .XLS format). It is aproximately 520Kb in size. Fieldwork spanned from September 2021 to November 2023. The dataset consists of 25 semi-structured interview transcripts categorized as follows: 15 with repair activists and campaigners, 5 with technicians affiliated with manufacturers, 2 with industry representatives, and 3 with civil servants involved in R2R legislation. All participants were recruited using the research team’s professional and personal networks, enhanced by snowball sampling that drew on the networks of the interviewees. All participants have been de-identified using pseudonyms. However, due to the nature of the interviews, full anonymisation was not possible, as some contextual information could still make re-identification theoretically feasible. Consent forms and any identifying keys are stored securely and separately from the dataset, in line with GDPR requirements. The dataset was analysed and coded using an abductive and interpretive approach, combining theoretical concepts with themes emerging directly from the interviews. Coding and constant comparison were carried out iteratively throughout the project, supported by NVivo software. Data analysis was informed by a non-systematic reading of secondary materials (such as websites, news articles, and media coverage), which are not included in this repository. All participants provided informed consent, and the study was approved by the Universidade de Vigo Ethics Committee.</p>
Fieldwork photographic collection. Andrea Vacha PHD Thesis
<p>Complete collection of semi-structured interviews collected during fieldwork for the PhD thesis in Modern and Contemporary History at ISCTE-Iul.</p> <p>+</p> <p>Photografic collection of the fieldwork (namely museums and memorials of gaza Kingdom, Mozambique). </p>
Water p-ROOF - data collected during fieldwork
<p><strong><em>Water p-ROOF</em> </strong>is a project developed from the merger of two proposals funded by the Planetary Wellbeing action 2020 of the Universitat Pompeu Fabra:</p> <p>Title: <em>Rain-fed cultivation - Innovative techniques to phenotype drought resistant crops for a sustainable agricultural management in drylands </em> - PI: D’Agostini Francesca.</p> <p>Title: <em>The Multifunctional Rooftop Garden of Dipòsit de las Aigües Building</em> - PI: Lancelotti Carla</p> <p>Years of performance: 2021-2022</p> <p>Place: Universitat Pompeu Fabra (Barcelona), Campus de la Ciutadella, Mercé Rodoreda building</p> <p>Description: </p> <p>The original project (<em>Rain-fed cultivation - Innovative techniques to phenotype drought resistant crops for a sustainable agricultural management in drylands </em> - PI: D’Agostini Francesca) funded by the call was directed at developing one experimental cultivation in the ICRISAT research centre (Patancheru, India). The experimental cultivations had the objective of building a modern database of crop samples, grown in a controlled environment, to use as comparison for the reconstruction of long-term agricultural systems in drylands. In the face of the COVID-2019 emergency, the project underwent modifications, not so much in the objectives but in the technical development of the research. Not being able to travel to India, the Planetary Wellbeing board authorised the joining of my project with that of Carla Lancelotti (“<em>The Multifunctional Rooftop Garden of Dipòsit de las Aigües Building</em>”) with the aim of building an experimental station on the roof of the Merce Rodoreda building (Campus de la Ciutadella-UPF), where we carried out the same planned research on a reduced, but significant number of samples. Moreover, having saved on transport, I had the opportunity to carry out two experimental cultivations instead of one, increasing the number of species and environmental seasons tested. The new project, merged with that of Carla Lancelotti, was entitled “Water p-ROOF”.</p> <p><br> For each experiment, the activity consisted of three main phases: 1. the preparation of the facility (1 month); 2. the experimental cultivation (6 to 9 months depending on the species and season) consisting of sowing, weekly irrigation and lysimeter weighing, plant care and dataset elaboration; 3. the harvesting, drying and storage of the samples (3 months). The first experimental cultivation of sorghum (<em>Sorghum bicolor</em>) and pearl millet (<em>Pennisetum glaucum</em>) landraces has been set on the rooftop of Merce Rodoreda building during summer 2021 (from 15th June to 26th November 2021). In this season, three landraces with five replications of each species were grown in two watering treatments in lysimeters (tot. 60), plus 12 pearl millet plants sown in an experimental sandy soil planter without irrigation. The second experimental cultivation involved two species of wheat (<em>Triticum aestivum</em> and <em>Triticum monococcum</em>) during winter 2021-2022 (from 26th November 2021 to 15th July 2022). In this case, 3 landraces with 3 replications were grown for each species in 4 water treatments (tot. 60) in lysimeters. In both seasons transpiration rates of the plants grown in lysimeters have been registered.</p> <p><strong>Contents available in this repository:</strong></p> <p>File DataSUMMER2021: <em>Dataset</em><em> </em><em>- </em>Excel<em> </em>file that includes the weighing, the watering and the harvesting data of the winter experiment carried out from from 15th June to 26th November 2021</p> <p>File DataWINTER2021-2022: <em>Dataset</em><em> - </em>Excel<em> </em>file that includes the weighing, the watering and the harvesting data of the winter experiment carried out from 26th November 2021 to 15th July 2022</p> <p>File SUMMER 2021 EXPERIMENT: <em>PDF Summary </em><em>- </em>Summary of the samples collected for summer experiment carried out from from 15th June to 26th November 2021and and metadata.</p> <p>File WINTER 2022 EXPERIMENT: <em>PDF Summary </em><em>- </em>Summary of the samples collected of the winter experiment carried out from from 26th November 2021 to 15th July 2022 and metadata</p> <p> </p> <p>We would like to thank the CASEs research group and in particular to Alessandra Varalli, Garcia-Tuset Nuria, Biagetti Stefano, Dias-Ortega Daniela, Jiménez-Arteaga Carolina, Madella Marco, Marin-García Guillermo, Parque-Pérez Oscar, Roda-Gilabert Xavier, Ruiz-Giralt Abel, Ruiz-Pérez Javier and Santiago-Marrero Carlos for the substantial help with the management of the fieldwork.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.