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8,020 results for “pilot”
Soil Organic Carbon Content estimations over the Lithuanian pilot area (2021)
<p>In the context of the EU-funded project DIONE (No. 870378), Soil Organic Carbon Content (SOC) estimations have been released as outputs of novel machine learning algorithms which combined the point measurements (i.e. soil properties detected by the Soil Scanning Systems) with temporal EO multispectral imagery and other ancillary variables, enabling end-users, and for the DIONE case, the national paying agency of Lithuania (National Paying Agency - NPA) to mine meaningful information about overall soil health and the effects applied agricultural practices at a parcel level.</p> <p>The dataset is delivered in a shapefile format (DIONE_SOC_estimations_LT_2021.shp - EPSG:3346) containing the SOC content (SOC %) labeled as SOC.</p>
GraspOS landscape survey for pilots
<p>This dataset is related to GraspOS Deliverable D2.1 "OS-aware RRA approaches landscape report" (<a title="https://zenodo.org/records/11098095" href="../records/11098095" target="_blank" rel="noreferrer noopener">https://zenodo.org/records/11098095</a>), Annex 4. The questionnaire for GraspOS landscape survey for pilots.</p>
Raw Data of Pilot Plant Runs for CONSENS Project (Case Study 1)
<p>In case study one of the CONSENS project, two aromatic substances were coupled by a lithiation reaction, which is a prominent example in pharmaceutical industry. The two aromatic reactants (Aniline and <em>o</em>-FNB) were mixed with Lithium-base (LiHMDS) in a continuous modular plant to produce the desired product (Li-NDPA) and a salt (LiF). The salt precipitates which leads to the formation of particles. The feed streams were subject to variation to drive the plant to its optimum. </p> <p>The uploaded data comprises the results from four days during continuous plant operation time. Each day is denoted from day 1-4 and represents the dates 2017-09-26, 2017-09-28, 2017-10-10, 2017-10-17.</p> <p>In the following the contents of the files are explained.</p> <p><strong>NIR_data_AQ15_raw.zip: </strong>Contains Bruker binary files (0-Files) of NIR spectrometer at AQ15 (Location is located subsequently to NMR spectrometer)</p> <p><strong>NMR_spectra_raw.zip: </strong>Contains Spinsolve files (Binarys of FID and Spectrum, DX-Files) of NMR spectrometer. The use of DX-files files is not recommended.</p> <p><strong>PCS_data_csv.zip</strong>: Contains csv-files of the process control system (PCS) including data of mass flow controlers (*_Bilanz.csv), filling level (*_FillLe.csv), pressures (*_pres), temperatures (*_Temp), position of valves (*_Valves). Relevant labels are: BP13 = LiHMDS storage tank, BP12 = aniline storage tank, BP12 = <em>o</em>-FNB storage tank, CM003 and CM004 = tubular reactors, T0041 and T005 = Temperature at reactor exits, P009 and P003 = Pressure at reactor inlets, P006 = Pressure at reactor exits.</p> <p><strong>housing_data_NMR.csv</strong>: Contrains data of NMR enclosure of all four days. Each columns from left to right represent timestamps, bypass pressure (bar), bypass temperature (°C), Gasalarm (logical), bypass actual flowrate (g min<sup>-1</sup>), bypass flowrate setpoint (g min<sup>-1</sup>), bypass density (kg m<sup>3</sup>)</p> <p><strong>matlab_variables_explanation.xlsx</strong>: Explanation of variables used in matlab structure "data_validation_run".</p> <p><strong>data_validation_run.mat</strong>: Matlab structure containing most relevant process data including NMR results, NIR results, housing data of NMR, and process control system data.</p>
Dataset _ Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond
<p>This is the dataset used for the publication of the journal article title<em> “</em><strong>Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond”. </strong>In this dataset there is all the information collected in the experimentation process.</p>
Dataset _ Seasonal variation of biogas upgrading coupled with digestate treatment in an outdoors pilot scale algal-bacterial photobioreactor
<p>This is the dataset used for the publication of the journal article title<em> “</em><strong>Seasonal variation of biogas upgrading coupled with digestate treatment in an outdoors pilot scale algal-bacterial photobioreactor</strong><strong>”. </strong>In this dataset there is all the information collected in the experimentation process.</p>
PAsCAL WP6 Pilot 3 Autonomous Bus Line Datasets (Passengers and Co-Road Users)
<p>These two datasets were collected within the context of the PAsCAL research project between September 2021 and March 2022 on the campus of the UAM University in Madrid, Spain. Subject of the pilot was a Level 4 autonomous bus shuttle, which is to date one of the only shuttles in Europe to run in open traffic. Due to this and the fact that only a steward is on-board of the vehicle in case of incidences or passenger support, two surveys were designed:</p> <ol> <li>Survey for Shuttle Users: Passengers experienced the ride on the autonomous shuttle within the context of the multi-modal trip, connecting them to an interurban train station and an interurban (long-distance) bus station on the other side. Purpose of the survey was to capture the participant's overall acceptance and attitude towards the vehicle after using it and comparing it directly to available traditional modes of transport.</li> <li>Survey for Shuttle Co-Road Users: Since the shuttle is operating in open traffic, co-road users were also stopped randomly and asked to complete the survey to map the acceptance of the autonomous shared and public vehicle they were sharing the road with. This included not just car drivers, but also pedestrians and cyclists on-site.</li> </ol> <p>In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.</p>
PAsCAL WP6 Pilot 1 High-Capacity Bus Operations
<p>This dataset was collected within the context of the PAsCAL research project between June 2021 and September 2021 at the E-Bus Competence Centre premises in Livange, Luxembourg. Subject of the pilot was a Wizard of Oz experiment, which consisted of a modified high-capacity bus vehicle to simulate a Level-5 automated vehicle to the passengers, although the bus was operated and driven by a human driver, which was not visible to the participants.</p> <p>The participants experienced several malfunctions of the bus and were offered a Human-Machine-Interface (HMI), which connected them to a traffic control centre for troubleshooting. The purpose of the pilot was to evaluate whether available HMIs are able to bridge the gap to human driver support to passengers. Some of the participants were blind or partially sighted to also observe the adequacy of the solution on vulnerable travellers.</p> <p>In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.</p>
Iran Deposit Refund System Pilot Project for Beverage Containers - 2024 - 2025
The dataset is the result of the first-ever deposit refund system (DRS) pilot project conducted in Iran, including the accurate daily intake of containers by the Reverse Vending Machine in the project, the number of existing and new users and the number of fulfilled recycling cycle (session) per day. The pilot was performed in Iran University of Science and Technology central campus in Tehran for total 12 months and evaluated the effectiveness of different incentive mechanisms for beverage container recycling. The study compared three approaches using in-house labeling of the single use beverage containers and a barcode-tracking system: reward-based recycling, voluntary recycling, and deposit-based recycling. Results demonstrated that the deposit-based system significantly outperformed other methods.
BSNE aeolian dust collector sample weights from the three ConMod Pilot study locations at Jornada Basin LTER, 2008-2016
This data package contains measurements of dust collected by BSNE collectors for the Connectivity Modifier (ConMod) Pilot study plots from 2008-2016 on the Jornada Experimental Range. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 plots. The plots are 8 x 8 meters and have an 8 x 8 buffer zone on both sides of the plot (up and down). There are four BSNE (aeolian dust collector) stands for each plot, 2 in each of the 2 buffer zones (8 collectors per plot). Each stand contains 2 BSNE collectors at a 30cm height with the collection opening at 10cm x 2 cm wide x 5 cm height. These BSNE collectors are in a fixed position pointing into the direction of the prevailing wind, which corresponds to the plot alignment. The collectors in the upwind buffer are facing away from the plot and the collectors in the downwind buffer are facing into the plot. Upwind BSNEs collect the amount of dust entering the plot, and the downwind BSNEs collect the amount of dust moving off the plot. These collectors estimate the effectiveness of the plot surface in obstructing wind blown dust. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.
Microbial soil data from KBS pilot rainout shelter experiment 2019
Growing season drought can be devastating to crop yields. Soil microbial communities have the potential to buffer yield loss under drought through increasing plant drought tolerance and soil water retention. Microbial inoculation on agricultural fields has been shown to increase plant growth, but few studies have examined the impact of microbial inoculation on plant and soil microbial drought tolerance. We conducted a rainout shelter experiment and subsequent greenhouse experiment to explore three objectives. First, we evaluated the performance of a large rainout shelter design for studying drought in agricultural fields. Second, we tested how crop (corn vs. soybean) and microbial inoculation alter the response of soil microbial composition, diversity, and biomass to drought. Third, we tested whether field inoculation treatments and drought exposure altered microbial communities in ways that promote plant drought tolerance in future generations. In our field experiment, the effects of drought on soil bacterial composition depended on crop type, while drought decreased bacterial diversity in corn plots and drought decreased microbial biomass carbon in soybean plots. Microbial inoculation did not alter overall microbial community composition, plant growth or drought tolerance, despite our efforts to address common barriers to inoculation success. Still, a history of inoculation affected growth of future plant generations in the greenhouse. Our study demonstrates the importance of plant species in shaping microbial community responses to drought and the importance of legacy effects of microbial inoculation.
Bids Pilot Project
Open the record for dataset details and reuse information.
Differences in Chemo-signaling Compound-Evoked Brain Activity in Male and Female Young Adults: A Pilot Study in the Role of Sexual Dimorphism in Olfactory Chemo-Signaling
Open the record for dataset details and reuse information.
VR-Together Pilot 1: 3D Animated Character Meshes
<p>This dataset contains the 3D Animated Characters as used for the Pilot 1 experience of the VR-Together project. The animated characters come as a set of FBX files with associated diffuse and normal maps. </p>
VR-Together Pilot 3: 3D Character Models and Animation Data
<p>VR-Together Pilot 3 Character and Animation Dataset.</p> <p>This dataset contains the 3D characters and animations as used in <a href="https://vrtogether.eu/about-vr-together/pilots/pilot3/">Pilot 3 of the VR-Together project</a>. It contains the 4 characters of the associated experience and their post-processed motion capture animation data in the FBX format, as well as the texture data in the PNG format. </p> <p>The data contained in this dataset was prepared for the Unity game engine, but should be usable in other content creation systems without issue. </p> <p>VR-Together has been funded by the European Commission as part of the H2020 program, under the grant agreement 762111.</p>
Deliverable D-IA.2.2.OH-Harmony-Cap.2.1: Completed Pilot Survey
<p>This is a public deliverable of One Health EJP Joint Research Project,<strong><em> </em></strong><strong><em>Integrative Action-2.2,</em></strong> <strong>OH-HARMONY-CAP: </strong>One Health Harmonisation of Protocols for the Detection of Foodborne Pathogens and AMR Determinants. <a href="https://onehealthejp.eu/jip-oh-harmony-cap/"><strong>https://onehealthejp.eu/jip-oh-harmony-cap/</strong></a></p> <p>The purpose is to develop an integrated One Health map (OHLabCap ) of the levels of system capability/capacity/interoperability for each of the EU MS that is repeatable and sustainable. The first step is to develop of a pilot survey, targeting NRLs and the primary diagnostic services (primary sector). The pilot survey covers: 1. six priority bacteria and ten priority parasites have been chosen, as model organisms, together with the antimicrobial resistance (AMR) testing of <em>Salmonella</em> and <em>Campylobacter</em>. 2. 63 questions incorporating capability, capacity, and interoperability</p>
Data and materials from: "Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation"
<p>This repository contains materials and data used and described in:</p> <p><strong>Sanchez-Lopez, R., Fereczkowski, M., Santurette, S., Dau, T., Neher, T. (2021). Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation. <em>Audiol. Res.</em> 11, no. 1: 10-21. <a href="https://doi.org/10.3390/audiolres11010002 ">https://doi.org/10.3390/audiolres11010002 </a></strong></p> <p> </p> <p><strong>Abstract</strong></p> <p><strong>Background</strong> - The clinical characterization of hearing deficits for hearing-aid fitting purposes is typically based on the pure-tone audiogram only. In a previous study, a group of hearing-impaired listeners completed a comprehensive test battery designed to tap into different dimensions of hearing abilities. A data-driven analysis of the data yielded four clinically relevant patient subpopulations or “auditory profiles”. The purpose of the current study was to propose and pilot-test profile-based hearing-aid settings to explore their potential for providing more targeted hearing-aid treatment.<br> <strong>Methods </strong>- Four candidate hearing-aid settings were developed and evaluated by a subset of the participants tested previously. The evaluation consisted of multi-comparison preference ratings carried out in realistic sound scenarios.<br> <strong>Results </strong>- Listeners belonging to the different auditory profiles showed different patterns of preference for the tested hearing-aid settings that were largely consistent with the expectations.<br> <strong>Conclusion</strong> - The results of this pilot evaluation support further investigations into stratified, profile-based hearing-aid fitting with wearable hearing aids.</p> <p>Please cite this article when using the data</p> <p> </p> <p><strong>Description of the files:</strong></p> <ul> <li><strong>APBHAF_Audiofiles.zip: </strong>Audio files used in the SenseLabOnline environment. Each folder corresponds to one participant.</li> <li><strong>APBHAF_MUSHA.xlsx: </strong>Raw Data of the MUSHA experiment.</li> <li><strong>APBHAF_MUSHA_Analysis.R: </strong>R code for the data analysis.</li> <li><strong>MUS_SoundScenes.mat</strong>: Mat file with a structure 1x9 MUS with the raw acoustic signals before processing with the hearing-aid simulator. <ul> <li>CurrentMixture: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right.</li> <li>CurrentAnchor: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right. The Anchor is -6 dB SNR.</li> <li>SampleLabel: Either "Kantine", "Traffic" or "Quiet"</li> <li>ConditionLabel: Either "Cond1", "Cond2" or "Cond3"</li> <li>fsmix: sampling frequency. For all signals must be 32000Hz</li> </ul> </li> <li><strong>MUSHA_Instruction: </strong>Instructions used for explaining the task and the environment.</li> </ul> <p>* The participant IDs in each of the files has been assigned randomly to ensure the anonymization of the data. The pseudo-anonymized data might be shared under request by direct correspondence with the authors.</p>
OpenAIRE FP7 Post-Grant Pilot - Survey of Beneficiaries
<p>The OpenAIRE FP7 Post-grant OA Pilot was launched by the European Commission (EC) for the period May 30<sup>th</sup>, 2015 to April 30<sup>th</sup>, 2017 in the context of the OpenAIRE2020 project.</p> <p>The survey of the Pilot's beneficiaries was comprised of 21 multiple choice and open text questions. It was distributed to the 547 recipients of pilot funding by email and received a total of 322 responses (59% response rate). </p> <p>The results were analysed by Research Consulting, on behalf of the OpenAIRE consortium.</p>
1000 Soils Pilot Dataset, version 8, May 2025
<p>This record hosts data generated by the 1000 Soils Pilot. Data will be updated as more become available. Please see the most recent data upload for current data.</p> <p>A beta visualization tool is available for some data types at https://shinyproxy.emsl.pnnl.gov/app/1000soils. Please submit any suggestions or comments through the 'contact' tab. We are actively working to improve visualizations and value all feedback.</p> <p>Data completed include:</p> <ul> <li>Geochemistry, texture, respiration, and enzyme activities</li> <li>FTICR-MS organic matter chemistry</li> <li>Microbial biomass C and N</li> <li>TOC/TDN of water-extractable OM</li> <li>X-ray computed tomography (derived metrics available here, raw data available upon request)</li> <li>Metagenomes; a variety of data formats are available upon request</li> <li>Soil hydraulic properties</li> </ul> <p>Data in progress:</p> <ul> <li>LC-MS/MS in development, timeline TBD, inquire for status</li> </ul> <p>1000S_processed_BGC_summary.csv contains all available biogeochemical data; microbial biomass C and N; and TOC/TDN of water-extractable OM; and </p> <p>1000S_Tomography.xslx contains a summary of data generated via X-ray computed tomography.</p> <p>icr_v2_corems2.csv contains FTICR-MS data processed by CoreMS version 2. These data are merged by formula across instrument runs to enable cross-sample comparisons. Technical replicates are merged by retaining peaks present in 2 out of 3 replicates.</p> <p>1000Soils_Metadata_Site_Mastersheet_v1.csv contains site information.</p> <p>Soil Hydraulics_corrected_02042025.xlsx contains soil hydraulics information.</p> <p>Readme File_v4.xlsx is the readme file.</p> <p>Please contact the MONet project (monet.emsl@pnnl.gov) or Emily Graham (emily.graham@pnnl.gov) with questions.</p> <p>The following file and all raw data are available upon request:</p> <p>icr_by_mass_for_single_sample_analysis_only.csv contains FTICR-MS data processed by CoreMS and is intended for usage in the calculation of biochemical transformations within samples only. These data are not acceptable for cross-sample comparison of masses because they are from multiple instrument runs.</p> <p>For more information, please see: https://www.emsl.pnnl.gov/monet and https://sc-data.emsl.pnnl.gov/monet</p> <p>Acknowledgment: </p> <p>Soil data were provided by the Molecular Observation Network (MONet) at the Environmental Molecular Sciences Laboratory (<a href="https://ror.org/04rc0xn13" rel="noreferrer">https://ror.org/04rc0xn13</a>), a DOE Office of Science user facility sponsored by the Biological and Environmental Research program under Contract No. DE-AC05-76RL01830. The work (proposal: 10.46936/10.25585/60008970) conducted by the U.S. Department of Energy, Joint Genome Institute (<a href="https://ror.org/04xm1d337" rel="noreferrer">https://ror.org/04xm1d337</a>), a DOE Office of Science user facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231. </p> <p>The Molecular Observation Network (MONet) database is an open, FAIR, and publicly available compilation of the molecular and microstructural properties of soil. Data in the MONet open science database can be found at <a href="https://www.emsl.pnnl.gov/monet">https://sc-data.emsl.pnnl.gov/</a>.</p>
Pilot Radiation under Surveillance, Veluwe, Netherlands
<p>Research on the effect of transmitter radiation intensity and frequency on bird and bat behavior around a transmitter mast in the Vierhouten forest on the National park the Veluwe in The Netherlands done in 2022 and 2023. This research has tested a protocol and taken a first step toward monitoring effects of radiation on nature in the Veluwe. To ensure the health of nature, the research will have to be continued. To this end, the data from this study are made available. Environmental radiation measurement data, bird behavior and bat counts.</p>
Small Group and Survey Datasets: "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study"
<p>These datasets accompany the paper "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study" by Chad Curtis PhD and Kaytlin Gomez.</p> <p>The first dataset consists of free responses from n=12 students researchers during a Small Group Metacognitive Practice (SGMP) intervention conducted during the 2023 INBRE Summer Undergraduate Research Fellowship (iSURF) at Nevada State University. The files include:</p> <ul> <li><strong>transcription.docx</strong>: Transcriptions of both individual (n=12) and small group (n=4) responses from the SGMP session.</li> <li><strong>codingR1.xlsx</strong>: Codings used for the thematic analysis, as coded by the primary investigator.</li> <li><strong>codingR2.xlsx: </strong>Codings used for the thematic analysis, as coded by the co-author.</li> <li><strong>KrippendorffAlpha.xlsx</strong>: Inter-coder reliability calculations using Krippendorff's alpha.</li> </ul> <p>The survey data was collected from n=11 participants at the end of the summer research program. The files include:</p> <ul> <li><strong>surveyData.csv</strong>: Anonymized responses to survey questions regarding the SGMP intervention.</li> </ul> <p>This study was approved by the Nevada State University Review Board (Protocol #2305-0346). All procedures in the study were conducted in accordance with approved protocols. Written informed consent was obtained from the subjects for their anonymized information to be published with the article.</p>
ScienceDex guides
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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.