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.
8,020
datasets available to search
ShareScore release 0.9.0
Dataset results
8,020 results for “pilot”
Pilot 1 Model-based decision support for testing drought-related adaptation strategies in the Aa of Weerijs river basin, the Netherlands: Hydrological model description, input data sources and model results
<p>This dataset contains: the report with the description of the model structure, the input data sources and the spatial locations within the catchment for which surface and groundwater results data are provided.</p>
Immune-mediated hematological disease in dogs is associated with alterations of the fecal microbiota: a pilot study
<div> <h3>Background</h3> <p>The dog is the most popular companion animal and is a valuable large animal model for several human diseases. Canine immune-mediated hematological diseases, including immune-mediated hemolytic anemia (IMHA) and immune thrombocytopenia (ITP), share many features in common with autoimmune hematological diseases of humans. The gut microbiome has been linked to systemic illness, but few studies have evaluated its association with immune-mediated hematological disease. To address this knowledge gap, 16S rRNA gene sequencing was used to profile the fecal microbiota of dogs with spontaneous IMHA and ITP at presentation and following successful treatment. In total, 21 affected and 13 healthy control dogs were included in the study.</p> <h3>Results</h3> <p>IMHA/ITP is associated with remodeling of fecal microbiota, marked by decreased relative abundance of the spirochete <em>Treponema</em> spp., increased relative abundance of the pathobionts <em>Clostridium septicum</em> and <em>Escherichia coli</em>, and increased overall microbial diversity. Logistic regression analysis demonstrated that <em>Treponema</em> spp. were associated with decreased risk of IMHA/ITP (odds ratio [OR] 0.24–0.34), while Ruminococcaceae UCG-009 and Christensenellaceae R-7 group were associated with increased risk of disease (OR =&thinsp;6.84 [95% CI 2–32.74] and 8.36 [95% CI 1.85–71.88] respectively).</p> <h3>Conclusions</h3> <p>This study demonstrates an association of immune-mediated hematological diseases in dogs with fecal dysbiosis, and points to specific bacterial genera as biomarkers of disease. Microbes identified as positive or negative risk factors for IMHA/ITP represent an area for future research as potential targets for new diagnostic assays and/or therapeutic applications.</p> </div>
Data from: Pilot-scale H2S and swine odor removal system using commercially available biochar
<p>This is digital research data corresponding to a published manuscript in "Pilot-scale H2S and swine odor removal system using commercially available biochar" Agronomy 2021, 11, 1611. Dataset may be assessed via the included link at the Dryad data repository.</p> <p>Although biochars made in laboratory seem to remove H<sub>2</sub>S and odorous compounds effectively, very few studies are available for commercial biochars. This study evaluated the efficacy of a commercial biochar (CBC) for removing H<sub>2</sub>S and odorous volatile organic compounds (VOCs).</p>
Repository of camera trap data recorded during three pilot studies of the Amsterdamse Waterleidingduinen
<p>Three camera trap data packages (https://camtrap-dp.tdwg.org/) of data collected as part of pilot studies carried out in the Amsterdamse Waterleidingduinen. The pilots were aimed at determining how different types of camera deployment (e.g. regular vs. wide lens, various heights, inside/outside exclosures) might influence species detections, and how to deploy autonomous wildlife monitoring networks. Two pilots were conducted in herbivore exclosures and mainly detected European rabbits (Oryctolagus cuniculus) and red fox (Vulpes vulpes). The third pilot was conducted outside exclosures, with the European fallow deer (Dama dama) being most prevalent. Across all three pilots, a total of 47,597 images were annotated using the Agouti platform. All annotations were verified and quality-checked by a human expert. A total of 2,779 observations of 20 different species (including humans) were observed using 11 wildlife cameras during 2021–2023. The raw image files (excluding humans), image metadata, deployment metadata and observations from each pilot are shared using the Camtrap DP open standard and the extended data publishing capabilities of GBIF to increase the findability, accessibility, interoperability, and reusability of this data. The data are freely available and can be used for developing artificial intelligence (AI) algorithms that automatically detect and identify species from wildlife camera images.</p> <p><a name="_Hlk161305518"></a>The repository contains a data package in <a href="https://camtrap-dp.tdwg.org/">Camtrap DP format </a> for each of the three pilots. Camtrap DP is an open standard for the exchange and archiving of camera trap data using a standardized data structure. Each data package consists of the following resources:</p> <p>· <strong>datapackage.json:</strong> Contains metadata about the data package and camera trap project from which the data originates. Describes taxonomic, temporal, and spatial extent.</p> <p>· <strong>deployments.csv:</strong> Table of individual camera trap deployments, detailing exact location and times active of each camera deployment.</p> <p>· <strong>media.csv: </strong>Table detailing every image in the data package. Lists the filenames and paths of images within the data package.</p> <p>· <strong>observations.csv:</strong> Table of observations of species (or lack thereof) derived from the images.</p> <p>· <strong>e</strong><strong>vents.csv: </strong>Table linking observation events to media.</p> <p>· <strong>media folder:</strong> Folder containing a subfolder for each deployment, which contains the raw images from that deployment.</p> <p>Some additional notes, specific to these datasets:</p> <p>· The deployment table contains “deployment tags”, which specify extra information about the deployment, formatted as key:value pairs, separated by pipes (‘|’). Of particular interest for these datasets are the tags that state lens angle, specify habitat type and identify paired cameras (e.g. to assess differences in species detections between cameras with regular and wide lens, respectively).</p> <p>· In all three pilots, most observations are linked to sequences of images recorded within 120 seconds of each other. Hence, observations in these datasets are generally linked to an “event” (i.e. a sequence of images) rather than to an individual media file. We have added an events table to more easily link observation events and the media items that make up that event. This is an extension of the camera trap DP standard.</p> <p>· All annotations were verified and checked by a human expert, even in cases where an observation is listed as being made by an AI algorithm.</p> <p>· Whether or not an image is included in the data package is indicated by the ‘filePublic’ column in the media table. All raw images are included except for those where humans were detected. Images in which humans were detected have a ‘filePublic’ value of FALSE. Although the current location of these files within the Agouti platform (<a href="https://www.agouti.eu/">https://www.agouti.eu/</a>) is recorded in the ‘filePath’ column, these files cannot be accessed. The ‘fileName’ of these filles is the original filename they possessed when uploaded to Agouti.</p> <p>· Where ‘filePublic’ is TRUE, the `filePath` given is relative to the root of the data package (e.g. ‘media/<deployment>’) and the `fileName` of the file is the current name of the file within the data package (‘<mediaID>.JPG’). </p> <p>More details about individual metadata fields in the Camtrap DP format can be found on <a href="https://camtrap-dp.tdwg.org/">https://camtrap-dp.tdwg.org/</a>.</p> <p> </p> <p> </p>
Data for the project 'Feasibility and Effectiveness of a Personalized Home-Based Motor-Cognitive Training Program in Community-Dwelling Older Adults: a Pragmatic Pilot Randomized Controlled Trial'
<p>Data for the project 'Feasibility and Effectiveness of a Personalized Home-Based Motor-Cognitive Training Program in Community-Dwelling Older Adults: a Pragmatic Pilot Randomized Controlled Trial' including four complete datasets with all variables collected in this project and a corresponding README file ('README-File_Data_Feasibility and Effectiveness of a Personalized Home-Based Motor-Cognitive Training Program in Community-Dwelling Older Adults: a Pragmatic Pilot Randomized Controlled Trial.txt'). The latter provides (1) general information, (2) sharing and access information, (3) data and file overview, (4) methodological information, and (5) data-specific information.</p>
Data related to feedstock supply, logistics and engineering work for Pilot 5 (Biosolvents) in WaysTUP! project
<p><span>The objectives of this dataset were to describe the feedstock supply, logistics and engineering work carried out for PILOT 5. A description of the design, construction and final start-up of the pilot is also included. </span><span>PILOT 5 is located in Athens (Greece). Feedstock material is source-separated biowaste provided by the Municipality of Vari-Voula-Vouliagmeni under the supervision of SUST. The necessary logistics for continuous and stable feedstock supply were arranged by SUST and verified by NTUA. </span><span>PILOT 5 is a pre-existing installation developed in the framework of the LIFE WASTE2BIO project (LIFE11 ENV/GR/000949 and</span><span> is installed in the premises of NTUA</span><span>. For the purposes of the WaysTUP!, this prototype plant was upgraded in order to meet the project’s needs. </span><span>It includes a dehydration unit, a bioconversion unit and a distillation unit for the recovery of the produced ethanol. The working volume of the bioreactors is 400L and up to</span><span> </span><span>80kg/d dried biowaste could be treated depending on the selected operational parameters. </span></p>
Data related to the conduction of WACs in each Pilot of the project WaysTUP!
<p><span>The objective of this dataset is to report on the development of a representative methodology for the conduction of Waste Analysis Campaigns (WACs) of all different types of urban biowaste that will be used as feedstocks for the biobased products within WaysTUP!. These include: meat waste, fish waste, coffee waste, source separated biowaste, used cooking oils, coffee oil from spent coffee grounds, cellulosic rejections of MSWTP, nappies, carton and paper rejections of MSW, sewage sludge, olive oil mill waste and sawdust. T</span><span>he methodology for setting up a WAC is proposed suggesting strict sampling plans, sampling procedures and preservation times in order to ensure that the outcomes of the samplings are representative. This dataset also includes a common protocol for laboratory analysis for the detailed physicochemical characterization of urban biowaste according to the needs and specifications of each pilot plant and feedstock. T</span><span>he laboratory protocol includes the methods of typical analyses that must be performed according to the type (solid, oil etc.) of samples. Guidelines for the uniform representation of results are also included indicating that t</span><span>he sampling records must also accompany the characterization reports.</span></p>
FIGURE 7 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 7. Participants' deliverables two months after the PaleoBlitz.
Mg(OH)2 Recovery from Real Bitterns: a Proof of Concept at Pilot Scale
<p>Water, energy, and minerals are fundamental pillars for the future of humankind. Sustainable and renewable productive processes and resources are the only possibility to face the continuously growing global population and high living standards requirements. The present work introduces a proof of concept for the pilot scale production of magnesium hydroxide, Mg(OH)<sub>2</sub>, from waste saltworks bitterns located in the district of Trapani, Italy. Mg(OH)<sub>2</sub> was produced by adopting a proprietary “Magnesium Crystals Granulometry Controlled Reactor”, Mg-CGCR. The influence of several parameters was investigated on Mg(OH)<sub>2</sub> suspensions and powders characteristics: (i) the bittern flow rate, (ii) alkaline sodium hydroxide, NaOH, concentrations solutions (adopted as the precipitant agent) and (iii) the final suspension pH value (stoichiometric or OH<sup>-</sup> excess amounts). A Mg<sup>2+</sup> recovery >99 % can be achieved thanks to the adoption of a product recycling strategy in the reactor. Furthermore, highly pure Mg(OH)<sub>2</sub> powders, addressed by cationic purity, were synthesized. Results demonstrate the possibility of producing highly pure Mg(OH)<sub>2</sub> products from waste-concentrated saline solutions, thus turning waste into valuable compounds.</p>
WP2 T2.4 MEDIA T07 Live pilot 2 raw files, Cyclocross Soudal Leuven
<p>Two zip files - Directive and Omnidirectional. Inside the first one there is a proxy file of the TV broadcast of the filmed cyclocross men’s elite race. The zip file Omni has the 4 cameras and their respective raw files, that would require further editing to create a product in the form of a simulated live cyclocross experience, using either the ImmersiaTV plug-in or Cinegy Live.</p>
Making Sense Barcelona Noise Pilot Datasets
<p><strong>Raw Datasets From the Making Sense Barcelona Noise Pilot captured by the community using the Smart Citizen Kit 1.5</strong></p> <p> </p> <p>Data archived from the Smart Citizen Plaform:</p> <p><a href="https://smartcitizen.me/kits/4294">https://smartcitizen.me/kits/4294</a> <a href="https://smartcitizen.me/kits/4293">https://smartcitizen.me/kits/4293</a> <a href="https://smartcitizen.me/kits/4282">https://smartcitizen.me/kits/4282</a> <a href="https://smartcitizen.me/kits/4283">https://smartcitizen.me/kits/4283</a> <a href="https://smartcitizen.me/kits/4271">https://smartcitizen.me/kits/4271</a> <a href="https://smartcitizen.me/kits/4307">https://smartcitizen.me/kits/4307</a> <a href="https://smartcitizen.me/kits/4309">https://smartcitizen.me/kits/4309</a> <a href="https://smartcitizen.me/kits/4308">https://smartcitizen.me/kits/4308</a> <a href="https://smartcitizen.me/kits/4301">https://smartcitizen.me/kits/4301</a> <a href="https://smartcitizen.me/kits/4302">https://smartcitizen.me/kits/4302</a> <a href="https://smartcitizen.me/kits/4262">https://smartcitizen.me/kits/4262</a> <a href="https://smartcitizen.me/kits/4265">https://smartcitizen.me/kits/4265</a> <a href="https://smartcitizen.me/kits/4281">https://smartcitizen.me/kits/4281</a> <a href="https://smartcitizen.me/kits/4280">https://smartcitizen.me/kits/4280</a> <a href="https://smartcitizen.me/kits/4267">https://smartcitizen.me/kits/4267</a> <a href="https://smartcitizen.me/kits/4300">https://smartcitizen.me/kits/4300</a> <a href="https://smartcitizen.me/kits/4299">https://smartcitizen.me/kits/4299</a> <a href="https://smartcitizen.me/kits/4296">https://smartcitizen.me/kits/4296</a> <a href="https://smartcitizen.me/kits/4295">https://smartcitizen.me/kits/4295</a> <a href="https://smartcitizen.me/kits/4297">https://smartcitizen.me/kits/4297</a> <a href="https://smartcitizen.me/kits/4298">https://smartcitizen.me/kits/4298</a> <a href="https://smartcitizen.me/kits/4468">https://smartcitizen.me/kits/4468</a> <a href="https://smartcitizen.me/kits/4470">https://smartcitizen.me/kits/4470</a></p> <p>You can also explore the data using the Smart Citizen API:</p> <p><a href="https://developer.smartcitizen.me/">https://developer.smartcitizen.me/</a></p>
LIGHT dataset sample for solar smart home pilot - 201801
<p>LIGHT dataset sample is provided for a month (2018/01). It consists of Generation (energy/kWh - 15min intervals) for photovoltaic array and battery storage, household power consumption (power/kW - 1min intervals) and photovoltaic array power (power/kW - 1min intervals).</p>
Pilot data ALWOP.404
<p>These are the pilot data from two pilot studies and accompanying graphs for the ALW grant proposal ALWOP.404. The data (*.mat) can be opened in matlab, and is structured in a matalab struct.</p> <p>Pilot of in vitro VO<sub>2 </sub>experiments of a small bundle of mouse muscle fibres during a positive work-loop, before and after inactivation of x-bridge cycling (using blebbistatin) The file contains a trial description, the bundle volume and the time histories of the VO2, muscle length, muscle stimulation, timestamps, force and a description of the units.</p> <p>Pilot of in vivo VO<sub>2</sub> experiments of mice walking up a treadmill. The file contains the mass of the mouse, the time histories of VO2, VCO2, belt speed, belt inclination, timestamps and a description of the units.</p> <p> </p> <p> </p>
CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Pilot Questionnaires
<p>Abstract</p> <p>This final working dataset is a cleaned version of raw data from our pilot study. The cleaning procedure involved (1) removing participants who left the survey on first pages of the questionnaire; (2) removing participants with clearly unreliable responses (i.e. choosing the same response option through the questionnaire); (3) removing participants who indicated age under 14 or over 30.</p> <p>The data set integrates the data resulting from 1390 Catch-EyoU Pilot Questionnaires submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia.</p> <p>The purpose of creating this cross-national data set is to test and compare the quality of items and scales across countries. Given the nature of items and scales a comparable data base does not exist elsewhere.</p> <p>The data can be reused by researchers who want to run more in-depth analyses of the items and scales as well as to a limited extent for substantive analyses.</p> <p>File specifics</p> <p>Technical variables refer to participants’ unique identification code (ID), country of data collection (Country), cohort (Cohort; younger versus older), age group computed based on participants’ age (Agegroup_computed), type of assessment (Assess; paper versus online), and questionnaire version (Version; items were ordered differently between versions A and B). Please note that the cohort variable does not strictly refer to participants’ actual age, but it indicates whether he or she completed the questionnaire intended for adolescents (younger) or young adults (older).</p> <p>Data file is in a proprietary format (SPSS .sav format) but it can be opened through “R”, a free software environment for statistical computing and graphics, using different “R” libraries (such as “foreign”).</p>
WP2 T2.4 MEDIA T12 Live pilot 3, MNM radio studio, visual radio pilot
<p> Live pilot 3, MNM radio studio, visual radio pilot</p> <p>3 files:<br> mnm-360-1.mp4: host of the show view<br> mnm-360-2.mp4: total view of the studio<br> mnm-360-3.mp4: dashboard of the host<br> </p> <p> </p>
Pilot 3 multimedia contents
<p>This dataset includes the multimedia resources linked to the venue involved in pilot 3 that may be used to create stories to be told to the participants in the experiments. They are the multimedia assets appearing in the narratives, for instance to illustrate questions or descriptions.</p> <p>The intended resources include text, images, video and audio clips, animations, 3D shapes, AR contents, external links, and any other formats. The multimedia resources will use the most common formats (gif, jpeg, png, avi, mpg, mp4, doc, txt, odt,…), so integration and reuse difficulties are not foreseen. Transcoding may be used wherever necessary.</p> <p>Descriptive metadata containing semantic characterizations for every resource will rely on MPEG-7 standard vocabularies as far as possible.</p> <p>Original data provided by the museum will be reused to build the stories. In addition to the resources provided by the venue itself, some other material will be linked from open online sites like Wikipedia, Wikimedia, etc. It is foreseen to include short clips (always respecting copyright laws and up to 30 seconds long) from Greek music, ancient to traditional and modern, as well as world music.</p>
Pilot 3 interview transcripts
<p>This dataset provides the user responses to the interviews that will be performed during the evaluation phase of the project and will be designed around the unified theory of user’s acceptance of technology.</p> <p>A simple Dublin core set of metadata will be used to describe the dataset.</p> <p>It will be created during the pilot 3 tests in order to understand how users accept and perceive the concept. No reuse of additional information is foreseen, as this information cannot be enhanced by any external contribution.</p> <p>The information volume that will be stored is quite small, several Kbytes for each participant at the most, yielding up to a few Mbytes per experimentation session.</p> <p>The dataset could be used by any interested researchers. It is expected that the dataset can contribute to an understanding of the users’ acceptance of the CROSSCULT technology and to an article based on this study. It will also inform the evaluation framework.</p>
Pilot 1 user tracking and observations
<p>This dataset will contain all the data collected from observation and tracking location of the users participating in the experiments using the CROSSCULT Pilot 1app. It will include information about the users’ interaction with the NG collection information.</p> <p>The dataset will comprise anonymised information about the users who will participate in the NG visits, using the CROSSCULT app. Additionally, for users who give their permission, information can be automatically extracted/retrieved from their devices location. User agreement must be obtained before tracking and processing data about the user.</p> <p>The dataset generated from the observation will provide information on user behaviour. The exact make-up of the fields included in this dataset will be determined as part of the work carried out within CROSSCULT.</p>
Pilot 1 multimedia images
<p>This dataset will contain the multimedia resources, images provided by the venue in pilot 1 that will be used to create stories to be presented to the users.</p> <p>The dataset will include zoomable images or just simple static thumbnails and jpegs. The data will use the most well-known formats regarding multimedia resources. The IIIF and MPEG-7 standards will be used to describe the relevant details of the involved files, describing their technical characteristics and the more appropriate descriptions of their contents.</p>
Pilot 2 interview transcripts
<p>This dataset provides the user responses to the interviews that will be performed during the evaluation phase of the project and will be designed around the unified theory of user’s acceptance of technology.</p> <p>A simple Dublin core set of metadata will be used to describe the dataset.</p> <p>It will be created during the pilot 2 tests in order to understand how users accept and perceive the concept. No reuse of additional information is foreseen, as this information cannot be enhanced by any external contribution.</p> <p>The information volume that will be stored is quite small, several Kbytes for each participant at most, yielding up to a few Mbytes per experimentation session.</p> <p>The dataset could be used by any interested researchers. It is expected that the dataset can contribute to an understanding of the users’ acceptance of the CROSSCULT technology and to an article based on this study. It will also inform the evaluation framework.</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.