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6,766 results for “project”
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 11
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 49
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 09
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 07
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 03
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 51
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 50
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 02
<p>These data were collected from robot controller during solar tanks welding operation.</p>
Raw LFP data from Gothard Lab multisensory processing project
<p>Data set contains LFPs collected from two adult male rhesus macaques (foz and blu). There are 41 total sessions. Data were collected with a 16-channel linear electrode array that was acutely lowered into the amygdala and surrounding tissue.</p>
Examining ray and skate diversity in the Irish Sea using DNA barcodes: Research project data
<p>All of the supplementary material to accompany the 4th year research project 'Examining ray and skate diversity in the Irish Sea using DNA barcodes'. Data includes <em>Cytochrome c oxidase I</em> (COI) sequences generated in this project from <em>Raja </em>specimens, agarose gel electrophoresis images of DNA samples, DNA concentrations of DNA extractions from <em>Raja </em>specimens as well the accession numbers of sequences sourced from GenBank that were used to construct a maximum likelihood tree. </p>
DNA inoculation project supporting files
<p>This archive contains the metagnome co-assembly of all samples and the co-assembly of the</p>
Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union
<p>Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.</p>
The GIS database of Woodnat project for the inventory and monitoring of walnut plantation in Italy and Spain
<p>The database contains 95 selected walnut plantations monitored with the financings of the H2020 WOODnat project in Italy and Spain and georeferenced in WGS84 reference system (EPSG 4326). For each plantation, stationary, cultural and climatic data are available; on a sample of 30 trees for each plot data of growth, wood quality and sanitary conditions are available. These data can be exploited to assess potential wood volume obtainable and quality of raw material, and to identify the weaknesses and errors, strengths and opportunities of the experiences conducted to plan future plantings with greater awareness.</p>
3D Point Cloud of a railway slope - MOMIT (Multi-scale observation and monitoring of railway infrastructure threats) EU project - H2020-EU.3.4.8.3. - Grant agreement ID: 777630
<p>3D point cloud of a railway trench in Lavancia-Épercy (France). The 3D point cloud has been generated from pictures obtained by means of a UAV (DJI Matrice 600 Pro) and processed using Agisoft Metashape. The 3D point cloud is composed of 110,356,682<strong> </strong> million points containing XYZ and RGB information.</p> <p>The original file is in .bin format and is compressed in zip format.</p> <p> </p>
MMORS Final Year Project: Supplementary Materials
<p>The two files uploaded here are data sets obtained from a final year project completed at Cardiff University, School of Mathematics. For more information regarding this project and the data sets, please see the corresponding GitHub Repository. < <a href="https://github.com/shapperzsm/final-project">https://github.com/shapperzsm/final-project</a> ></p> <p>- The `main.db' file contains results obtained from a large Iterated Prisoner's Dilemma experiment focusing on the probability of defection for varying game-ending probabilities. </p> <p>- The `main.csv' file was created from the database. It contains the game-ending probabilities at which playing `defector' was no longer a rational action.</p>
Fig. 1 in A DNA barcode-based survey of terrestrial arthropods in the Society Islands of French Polynesia: host diversity within the SymbioCode Project
Fig. 1. Distributions of the elevations at which specimens were collected on each island. Figure'1.'!
A VTA to basal amygdala dopamine projection contributes to signal salient somatosensory events during fear learning
<p>This dataset represents the raw data that gave rise to the study by Tang et al., J. Neuroscience 2020 (DOI: 10.1523/JNEUROSCI.1796-19.2020). Please refer to the original publication regarding experimental design and methodological details of data acquisition and analysis. Below we supply information on the provided metadata files (which, in turn, refer to individual raw data files), and essential details on the specific data formats.</p> <ol> <li>raw data is organized in the datasets related to the Figs. 1H-L, 1M, 3B-C, 2, 4G-H, 5D-E, 5H-I of the paper (Tang et al., 2020);</li> <li>the metadata for each individual dataset, which lists individual data filenames from the respective dataset, are stored in separate “.csv” files, one per each dataset. Field separator: comma;</li> <li>individual metadata files for each dataset are described in the master metadata file “metadata_master.csv”. Field separator: comma;</li> <li>widefield fluorescent images of single coronal slices containing VTA (Fig. 1H-M) were converted from the proprietary format of Olympus slide scanning microscope into composite TIFF format readable by FIJI/ImageJ (<a href="https://fiji.sc/">https://fiji.sc/</a> or <a href="https://imagej.net/Fiji/Downloads">https://imagej.net/Fiji/Downloads</a>). Image stacks covering the injection area of CTB into BA are provided in single multi-plane TIFF files, one per animal. Unless specified in the metadata file, the information on pixel resolution is embedded inside the individual image files as TIFF metadata. Attribution of fluorescent probes to the color channels is given in the corresponding metadata files; AP positions refer to Franklin KB, Paxinos G (2016) The mouse brain in stereotaxic coordinates, Ed 4. San Diego: Elsevier/Academic;</li> <li>confocal fluorescent image stacks acquired from single coronal slices containing VTA (Fig. 3B-C) are provided in the original format “.lsm” written by a confocal software Zen (Carl Zeiss). Besides the original Zen software, this format can be readily imported into FIJI/ImageJ using built-in converters “LSM…” or “Bio-Formats”. All the metadata containing imaging parameters is embedded in this format and can be accessed from FIJI/ImageJ after importing the stack. Attribution of fluorescent probes to the color channels is given in the corresponding “.csv” metadata file; AP positions refer to Franklin and Paxinos (2016);</li> <li>video recordings of animal behavior are provided as “.wmv” files, unmodified from the original version created by the acquisition software VideoFreeze (MedAssociates Inc). Video stream parameters: wmv3 codec, color space yuv420p, 320x240 pixels, bitrate 300 kb/s, 30 fps;</li> <li>timing patterns of the sound (CS) and of the footshock (US) applications during each day of fear conditioning protocol are provided in the respective “.csv” files: “day1_CS_timing.csv”, “day2_CS_timing.csv”, “day2_US_timing.csv”, “day3_CS_timing.csv”. The timestamps in these files are expressed in seconds relative to the start of the VideoFreeze video recordings (see p. 4 above). These patterns are in common for all the video recordings done on respective training days in every data subset (Figs. 2, 4-5);</li> <li>extracellular optrode recording data (Fig. 2) were converted from the original proprietary “.mcd” format of the MC_Rack software (Multichannel Systems) into the open HDF5 format “.h5” using the Multi Channel DataManager software (Multichannel Systems). We provide both the continuous recording data acquired during behavior sessions on days 1-3 of the fear learning protocol, as well as recordings of light-evoked spiking acquired during the opto-tagging sessions on each experimental day. In the latter, each of 8-10 consequently recorded data files contains individual triggered sweeps (from -50 to +50 ms), each centered around a single laser pulse (t=0 ms);</li> <li>the raw unfiltered electrode data is stored as a 32-bit integer matrix 16xN (16 - number of electrodes, N - number of sampling points @ 40 kHz) in the container Data->Recording_0->AnalogStream->Stream_1->ChannelData of the HDF5 files. Conversion factor to the units of volts for the raw values is 1.25e-6. Correspondence of the rows of the data matrix to the electrodes “E1”-“E16” is indexed by the string array Data->Recording_0->AnalogStream->Stream_1->I_Label. The electrodes were physically arranged into four tetrodes in following groups: E1-E4, E5-E8, E9-E12, E13-E16;</li> <li>timestamps for the continuous recordings, or for each of the triggered sweeps in case of opto-tagging, are stored in the 2D floating point array Data->Recording_0->AnalogStream->Stream_1->ChannelDataTimeStamps; the timestamp values are in microseconds;</li> <li>the timing of CS and US stimuli produced by the VideoFreeze software (see p. 5 above) was sampled as input digital triggers by the amplifier for extracellular recordings for precise synchronization between the optrode- and video recordings. These signals are stored as single bit changes in the 32-bits integer N-samples array Data->Recording_0->AnalogStream->Stream_0->ChannelData of the corresponding HDF5 files.</li> </ol>
MarTREC Project Datasets for Effect of Permeability Variation of Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi
<p>The existence of Yazoo clay soil in Mississippi frequently causes distress to the pavement and cause deformation at the slopes in highways and levees, which are a critical component in Maritime and multimodal transportation infrastructure. Each year, fixing the pavement requires a significant maintenance budget of MDOT. Also, the infiltration of the rainwater in the highway and levee slopes leads to landslides, which require millions of maintenance dollars each year. Due to the shrinkage and swelling behavior of the Yazoo clay, the hydraulic conductivity varies over the different seasons and has higher vertical permeability during the dry season. With high vertical permeability, the rainwater can easily percolate in the pavement subgrade and slopes, which accelerates the failure. The current study investigates the change in unsaturated vertical and horizontal permeability and its effect on the maritime and multimodal infrastructures, especially on the pavement and slopes of highway embankment and levees. The attached datasets include the laboratory test and finite element modeling findings.</p>
Rt-Cloud Sample Project 'AmygActivation' DICOM Data
<p>This upload contains the same data as published in <a href="https://doi.org/10.5281/zenodo.3677090">our previous zenodo dataset upload</a>. Unlike our previous upload, this version contains data after transferring the DICOMs directly from the Siemens Skyra 3T to our Linux machine (as done in real-time experiments). The purpose of this separate upload is to serve as sample data for our <a href="https://github.com/brainiak/rt-cloud">real-time cloud software</a>, for a <a href="https://github.com/amennen/amygActivation">specific sample project</a>. The brain data are contributed by author S.A.N. and are authorized for non-anonymized distribution.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 22
<p>These data were collected from robot controller during solar tanks welding operation.</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.