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3,696 results for “Reference”
MCR LTER: Reference: Fish Taxonomy, Trophic Groups and Morphometry
These reference data document the maximum length, length to weight conversion parameters, trophic status, and items consumed for fish species observed in the Annual Fish Survey Time-series core data set (knb-lter-mcr.6). With knb-lter-mcr.6, these data enable the investigation of temporal trends in the biomass of taxa as well as the abundance and biomass of different trophic groups. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2019). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Reference: Satellite Remote Sensing: Landsat ETM from 2001 to 2010
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data collected between 2001 and 2010 over the island of Moorea and Tahiti. These are reference data, from the USGS EROS archive, not data generated by MCR LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat ETM+ scene 20010429-LE70540722001119EDC00, LPGS_11.2.1, USGS, Sioux Falls, 04/29/2001.
MCR LTER: Reference: Satellite Remote Sensing: Landsat 7 in 1999 and 2000
This LTER Remote Sensing spatial raster dataset consists of Landsat 7 Thematic Mapper image data collected in 1999 and 2000 over the island of Moorea and Tahiti. These are reference data, from the USGS EROS archive, not data generated by MCR LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2001, Landsat ETM+ scene RNL71054072_07220000426, Unspecified processing, USGS, Sioux Falls, 04/26/2000. NASA Landsat Program, 2003, Landsat ETM+ scene L7054072_19990830, Ortho product, USGS, Sioux Falls, 08/30/1999.
MCR LTER: Reference: Satellite Remote Sensing: Landsat MSS in 1979
This LTER Remote Sensing spatial raster dataset consists of Landsat Multi-Spectral Scanner (MSS) image data collected in 1979 over the island of Moorea and Tahiti. These are reference data, from the USGS EROS archive, not data generated by MCR LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2010, Landsat MSS scene L3057072_07219790206_MTL, LPGS_11.2.1, USGS, Sioux Falls, 1979-02-06.
PIE LTER measurements of the two tallest Phragmites australis stems per five meter interval along transects at the Argilla Rd. salt marsh restoration site (Ipswich, MA) and Rough Meadows reference marsh (Rowley, MA – Stackyard Road area).
The file contains measurements of the two tallest Phragmites australis stems per five meter interval along transects at the Argilla Rd. salt marsh restoration site (Ipswich, MA) and Rough Meadows reference marsh (Rowley, MA – Stackyard Road area). The culvert feeding Argilla Marsh was enlarged in late November 1998, thus data from 1999 onward is considered as representing a hydrologically restored marsh. A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem.
PIE LTER plant species percent cover in quadrats along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts.
Plant species percent cover in quadrats along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts. A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem.
PIE LTER geographic information regarding vegetation transects set up at the Argilla Rd. Salt marsh restoration site in Ipswich and a reference marsh (Rough Meadows) in Rowley, Massachusetts.
A description of the vegetation transects set up at the Argilla Rd. Salt marsh restoration site in Ipswich, MA and a reference marsh (Rough Meadows) in Rowley, MA.
PIE LTER plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts.
Plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area). A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem..
Birds observed in newly hayed and adjacent reference salt marsh sites in Rowley, MA, August through September 2000 and August 2001, PIE LTER.
Birds observed in newly hayed marsh and adjacent reference marsh sites near Stackyard Rd. and Patmos Rd, Rowley, Massachusetts. August through September 2000 and August 2001.
Biomass and shoot densities of marsh grasses at hayed and reference sites for samples collected in June and early July 2000
Biomass and shoot densities of dominant marsh grasses at hayed and reference sites for samples collected in June and early July 2000 at hayed and reference marsh sites near Stackyard Rd. and Patmos Rd, Rowley, Massachusetts
End of growing season percent cover and biomass data for hayed vs reference sites, Rowley, MA, PIE LTER
End of growing season percent cover and biomass data of marsh vegetation in hayed and reference marsh sites near Stackyard Rd. and Patmos Rd, Rowley, Massachusetts.
PIE LTER study of marsh vegetation percent cover and biomass at the end of the growing season at Greenwood Creek, Ipswich, MA effluent enrichment and Clubhead Creek, Rowley, MA reference sites
End of growing season vegetation percent cover and biomass data for effluent enrichment vs. reference marsh sites. Nutrient enrichment comes from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich. The marsh around Clubhead Creek, Rowley, MA was used as a reference.
Brainport, Highway pilot, detection car reference laps
<p><strong>Scenario description</strong>:</p> <p>The detection car drives around the track in manual mode, at an average speed close to laps for detections, but with all detections systems disabled.</p> <p><strong>Session description</strong>:</p> <p>25 laps with VW Tiguan on Automotive Campus Test Track</p> <p><strong>Datasets descriptions</strong>:</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system</p> <p>Dataset Description This dataset contains the ADAS command in the vehicle</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles</p> <p>Dataset Description This dataset contains information about all the detected anomalies on the road</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service</p> <p>Dataset Description This dataset contains images of the detected anomalies</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle</p> <p>Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with absolute coordinates</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with relative coordinates</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle</p> <p>Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services</p> <p>Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle.</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle</p> <p>Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o temperature and battery state of the vehicles</p> <p><strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p>
Reference data to the low-wavenumber Raman spectral database of pharamceutical excipients
<p>Supplementary LF-785 and FT-Raman data of all the excipient samples included in the database. More information available in the following paper: <a href="https://doi.org/10.1016/j.vibspec.2020.103021">https://doi.org/10.1016/j.vibspec.2020.103021</a></p> <p>This version also contains all spectra in the .spc file format.</p>
mGEMS Enterococcus faecalis reference dataset
<p>This dataset contains the <em>E. faecalis</em> sequences (all available assemblies from the NCBI as of 2 February 2020 which could be assigned to a multilocus sequence type), their multilocus sequence types inferred with the mlst software (v2.18.1) using the MLST scheme described in <a href="https://doi.org/10.1128/JCM.02596-05">10.1128/JCM.02596-05</a>, and accession numbers used in the mGEMS publication as the reference dataset.</p>
Reference dataset to check the Python package for the calculation of the OLR-based MJO index (OMI)
<p>The Python package (<a href="https://doi.org/10.5281/zenodo.3613752">10.5281/zenodo.3613752</a>) for the calculation of the OLR-based MJO (OMI) index comes with integration tests, with which the users can check the calculation results.</p> <p>However, in order to run some of these tests, input and reference datasets are needed. Specifically, a dataset of Outgoing Longwave Radiation (OLR) described by Liebmann and Smith (1996) is needed as the input and OMI values described by Kiladis et al. (2014) are needed as the reference.</p> <p>These files are provided by this upload and can be downloaded either as .tar.gz or as .zip file.</p> <p>Whereas exactly the files provided here are needed for the tests, updated versions of these datasets can be found on the websites of NOAA: <a href="https://psl.noaa.gov/data/gridded/data.interp_OLR.html">https://psl.noaa.gov/data/gridded/data.interp_OLR.html</a> and <a href="https://www.esrl.noaa.gov/psd/mjo/mjoindex/">https://www.esrl.noaa.gov/psd/mjo/mjoindex/</a>.</p>
Data for Bovine breed-specific augmented reference graphs facilitate accurate sequence read mapping and unbiased variant discovery
<p><strong>Description of the datasets</strong></p> <p>Data are organized as folders and compressed with tar.gz.</p> <p>There are two compressed data folder: <strong>data </strong>which used for cattle genome graphs experiment and <strong>data_human</strong> which we used for human genome graphs experiment. </p> <p><strong>Cattle genome graphs experiments</strong></p> <p>First you need to unzip the file using command <em>tar -xvzf data.tar.gz</em>. After unzipping, the data folder is organized as follows:</p> <ul> <li>Utilities: contain bovine ARS-UCD 1.2 fasta reference with the accompanying index.</li> <li>Bin: contain the softwares used in the paper (vg, liftover, vcf2diploid)</li> <li>Part1: data for analysis in variant prioritization section, further subdivided into: <ul> <li>vcf_sim: variant files from four animal in each breed used to simulate reads</li> <li>reads_sim: simulated short reads used for read mapping</li> <li>vcf_freq: variants augmented to graphs filtered based on allele frequency</li> </ul> </li> <li>Part2: data used for analysis in the section of graph mapping with breeds-filtered variants, further subdivided into: <ul> <li>vcf_breed: variant files used to graphs construction.</li> </ul> </li> <li>Part3: data used for analysis in the section of consensus genome, further subdivided into: <ul> <li>read_sims: simulated reads as in the part1, but the coordinates are liftovered to the new consensus genomes.</li> <li>reference: contain the original reference and consensus references.</li> <li>vcf_consensus: contain major allele variants to construct consensus genomes.</li> </ul> </li> <li>Part4: data analysis in the section of whole genome graph construction and variant genotyping. <ul> <li>vcf_construct: variants from chromosome 1-29 from 82 Brown Swiss used to construct BSW whole genome graph.</li> <li>BSW_graph: whole genome Brown Swiss graph with the three accompanying indexes (xg,gcsa, and gbwt).</li> </ul> </li> </ul> <p><strong>Human genome graphs experiments</strong></p> <p>First you need to unzip the <em>data_human</em> file using command <em>tar -xvzf data</em><em>_hum.tar.gz</em>. After unzipping, the data folder is organized as follows:</p> <ul> <li>reference: the g1k_v37 reference used as a graph backbone</li> <li>vcf_sim: variant files from four individuals in each population used to simulate reads</li> <li>reads_sim: simulated short reads used for read mapping</li> <li>vcf_freq: variants augmented to graphs filtered based on allele frequency</li> </ul>
PR2_V9, a SSU V9 rDNA reference database with functional annotations.
<p>The present data set provides a tab separated text file compressed in a gzip archive. The file includes 63,401 18S V9 rDNA reference sequences for 44,084 unique eukaryotic taxa and 9,759 16S V9 rDNA references sequences for 9,661 unique prokaryotic taxa. It includes the following fields : sequence = nucleic acid sequence of reference; lineage = taxonomic path of the reference sequence; refs = original accession numbers corresponding to the reference sequence; name = reference sequence identifier; taxogroup = high-taxonomic level assignation of the reference sequence. The file also includes six categories of functional annotations: (1) chloroplast: yes, presence of permanent chloroplast; no, absence of permanent chloroplast ; NA, undetermined. (2) symbiont (small partner): parasite, the species is a parasite; commensal, the species is a commensal; mutualist, the species is a mutualist symbiont, most often a microalgal taxon involved in photosymbiosis; no the species is not involved in a symbiosis as small partner; NA, undetermined. (3) symbiont (host): photo, the host species relies on a mutualistic microalgal photosymbiont to survive (obligatory photosymbiosis); photo_falc, same as photo, but facultative relationship; photo_klep, the host species maintains chloroplasts from microalgal prey(s) to survive; photo_klep_falc, same as photo_klep, but facultative; Nfix, the host species must interact with a mutualistic symbiont providing N2 fixation to survive; Nfix_falc, same as Nfix, but facultative; no, the species is not involved in any mutualistic symbioses; NA, undetermined. (4) silicification; yes, the species has a silicified skeleton; no, it does not; NA, undetermined. (5) calcification; yes, the species has a calcified skeleton; no, it does not; NA, undetermined. (6) strontification; yes, the species has a skeleton made of strontium; no, it does not; NA, undetermined.</p>
The ECHAM/MESSy idealized (EMIL) model set-up: data of reference simulations
<p>This data set contains the data from simulations performed with the ECHAM/MESSy IdeaLized (EMIL) dry dynamical core model, as presented in the GMD(D) publication by Garny et al., available under doi https://doi.org/10.5194/gmd-2019-330. For details, please refer to the enclosed data description file.</p>
ZymoBIOMICS reference genomes
<p>All these reference genomes were independently sequenced by Zymo Research Corporation (Irvine, CA, USA). More information about the mock communities can be found at:</p> <p>- ZymoBIOMICS™Microbial Community Standard (Catalog No. D6300): https://bit.ly/3gDUHC9</p> <p>- ZymoBIOMICS™Microbial Community Standard II (Log Distribution) (Catalog No. D6310): https://bit.ly/2ZRjlbs</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.