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.
3,081
datasets available to search
ShareScore release 0.9.0
Dataset results
3,081 results for “array”
Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-20
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-20, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8486.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the both the X and Y polarizations.</p>
Chang'e 5 RF recording at 8471.2 MHz with Allen Telescope Array on 2020-12-20
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-20, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8471.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the both the X and Y polarizations.</p>
Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8486.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The Y polarization can be found in "<a href="https://zenodo.org/record/4405177">Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)</a>".</p>
Chang'e 5 RF recording at 8471.2 MHz with Allen Telescope Array on 2020-12-19 (X polarization)
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8471.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The Y polarization can be found in "<a href="https://zenodo.org/record/4395190">Chang'e 5 RF recording at 8471.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)</a>".</p>
Chang'e 5 RF recording at 8471.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8471.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The X polarization can be found in "<a href="https://zenodo.org/record/4393318">Chang'e 5 RF recording at 8471.2 MHz with Allen Telescope Array on 2020-12-19 (X polarization)</a>".</p>
Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (X polarization)
<p>This dataset contains a recording of X-band telemetry signals from the Chinese lunar sample retrieve mission Chang'e 5 done on 2020-12-19, after the Earth flyby, in a direct trajectory to the Sun-Earth L1 Lagrange point. The recording was done at Allen Telescope Array using antenna 2h in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2h was connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 30.72 Msps and a GNU Radio flowgraph was used to channelize four frequencies from the spacecraft (8463.7, 8471.2, 8478.6 and 8486.2 MHz), using an IQ sample rate of 480 ksps for each channel. Only the 8471.2 MHz and 8486.2 MHz channels contains signals from the spacecraft.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 32-bit floats in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted 16-bit integers and <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the IQ data for the channel at 8486.2 MHz, in SigMF format. Each polarization is in a different file. The original metadata headers are also provided. This dataset contains the X polarization. The Y polarization can be found in "<a href="https://zenodo.org/record/4405179">Chang'e 5 RF recording at 8486.2 MHz with Allen Telescope Array on 2020-12-19 (Y polarization)</a>".</p>
Data from: Development of Diversity Arrays Technology markers as a tool for rapid genomic assessment in Nile tilapia, Oreochromis niloticus
The development of genomic markers is described for Nile tilapia, Oreochromis niloticus, using the Diversity Arrays Technology (DArT) genotype-by-sequencing platform. A total of 13 215 single nucleotide polymorphism (SNP) markers and 12 490 silicoDArT (dominant) markers were identified from broodstock of two selective breeding programs [Genetically Improved Farmed Tilapia (GIFT) strain from Malaysia and the Abbassa strain from Egypt]. Over 10 000 SNPs were polymorphic in either strain, and 2985 and 3087 showed strain-specific polymorphisms for the GIFT and Abbassa strains respectively. We demonstrate the potential utility of these markers for rapid genomic screening and use in breeding programs.
Data from: High-throughput molecular identification of fish eggs using multiplex suspension bead arrays
The location and abundance of fish eggs provide information concerning the timing and location of spawning activities and can provide fishery-independent estimates of spawning biomass. However, the full value of egg and larval surveys is severely restricted because many species' eggs and larvae are morphologically similar, making species-level identification difficult. Recent efforts have shown that nearly all species of fish may be identified by mitochondrial DNA (mtDNA) sequences (e.g., via "DNA barcoding"). By taking advantage of a DNA barcode database, we have developed oligonucleotide probes for 23 marine fish species that produce pelagic eggs commonly found in California waters. Probes were coupled to fluorescent microspheres to create a suspension bead array. Biotin-labeled primers were used to amplify the mitochondrial cytochrome oxidase subunit I (COI) and 16S ribosomal rRNA genes from individual fish eggs. The amplicons were then hybridized to the bead array and after addition of a reporter fluorophore, samples were analyzed by flow cytometry with Luminex 100 instrumentation. Probes specifically targeted eggs that are abundant and/or from morphologically indistinguishable species pairs. Results showed the 33 different probes designed for this study accurately identified all samples when PCR was successful. Suspension bead arrays have a number of benefits over other methods of molecular identification; these arrays permit high multiplexing, simple addition of new probes, high throughput, and lower cost than DNA sequencing. The increasing availability of DNA barcode data for numerous fish faunas worldwide suggests bead arrays could be developed and widely used for fish egg, larval and tissue identifications.
Data from: Transatlantic secondary contact in Atlantic salmon, comparing microsatellites, a SNP array, and Restriction Associated DNA sequencing for the resolution of complex spatial structure
Identification of discrete and unique assemblages of individuals or populations is central to the management of exploited species. Advances in population genomics provide new opportunities for re-evaluating existing conservation units but comparisons among approaches remain rare. We compare the utility of RAD-seq, a single nucleotide polymorphism (SNP) array and a microsatellite panel to resolve spatial structuring under a scenario of possible trans-Atlantic secondary contact in a threatened Atlantic Salmon, Salmo salar, population in southern Newfoundland. Bayesian clustering indentified two large groups subdividing the existing conservation unit and multivariate analyses indicated significant similarity in spatial structuring among the three data sets. mtDNA alleles diagnostic for European ancestry displayed increased frequency in southeastern Newfoundland and were correlated with spatial structure in all marker types. Evidence consistent with introgression among these two groups was present in both SNP data sets but not the microsatellite data. Asymmetry in the degree of introgression was also apparent in SNP data sets with evidence of gene flow towards the east or European type. This work highlights the utility of RAD-seq based approaches for the resolution of complex spatial patterns, resolves a region of trans-Atlantic secondary contact in Atlantic Salmon in Newfoundland and demonstrates the utility of multiple marker comparisons in identifying dynamics of introgression.
Data from: SNP-array reveals genome wide patterns of geographical and potential adaptive divergence across the natural range of Atlantic salmon (Salmo salar)
Atlantic salmon (Salmo salar) is one of the most extensively studied fish species in the world due to its significance in aquaculture, fisheries and ongoing conservation efforts to protect declining populations. Yet, limited genomic resources have hampered our understanding of genetic architecture in the species and the genetic basis of adaptation to the wide range of natural and artificial environments it occupies. In this paper, we describe the development of a medium density Atlantic salmon SNP-array based on Expressed Sequence Tags (ESTs) and genomic sequencing. The array was used in the most extensive assessment of population genetic structure performed to date in this species. A total of 6176 informative SNPs were successfully genotyped in 38 anadromous and freshwater wild populations distributed across the species natural range. Principal component analysis clearly differentiated European and North American populations, and within Europe, three major regional genetic groups were identified for the first time in a single analysis. We assessed the potential for the array to disentangle neutral and putative adaptive divergence of SNP allele frequencies across populations and among regional groups. In Europe, secondary contact zones were identified between major clusters where endogenous and exogenous barriers could be associated, rendering the interpretation of environmental influence on potentially adaptive divergence equivocal. A small number of markers highly divergent in allele frequencies (outliers) were observed between (multiple) freshwater and anadromous populations, between northern and southern latitudes, and when comparing Baltic populations to all others. We also discuss the potential future applications of the SNP-array for conservation, management and aquaculture.
Data from: Discovery of 20,000 RAD–SNPs and development of a 52-SNP array for monitoring river otters
Many North American river otter (Lontra canadensis) populations are threatened or recovering but are difficult to study because they occur at low densities, it is difficult to visually identify individuals, and they inhabit aquatic environments that accelerate degradation of biological samples. Single nucleotide polymorphisms (SNPs) can improve our ability to monitor demographic and genetic parameters of difficult to study species. We used restriction site associated DNA (RAD) sequencing to discover 20,772 SNPs present in Montana, USA, river otter populations, including 14,512 loci that were also variable in at least one other population range-wide. After applying careful filtering criteria meant to minimize ascertainment bias and identify high quality, highly heterozygous (H o = 0.2–0.50) SNPs, we developed and tested 52 independent SNP qPCR genotyping assays, including 41 that performed well with diluted DNA. The 41 loci provided high power for population assignment tests with only 1 misassignment (1.6 %) between closely neighboring populations. Our SNPs showed high power to differentiate individuals and assign them to population of origin, as well as strong concordance of genotypes from high and diluted concentrations of DNA, and between original RAD and the SNP qPCR array.
Cup Mark Array - Algarve, Portugal
This rectangular array of cup marks was seen on the surface of the outcrop that the five tombs in the Necropole da Carrasqueira are cut into. There are 12 visible cup marks but there may have originally been perhaps 6 to 8 more as a section of the rock surface next to the array has spalled away. The indented edges of the spalled area indicate the probabable positions and extent of now erased cup marks. There are five rock-cut tombs on this outcrop, of Visigoth age (C5-6th). Two other separate and much larger cup marks were found on other parts of the outcrop. Source: Objaverse 1.0 / Sketchfab
Microphone Comparison Array Validation Dataset
<p>Data generated as part of research to determine an appropriate method to make audio recordings suitable for use in comparing the perceptual characteristics imparted by microphones. Data comprise audio files, listening test interfaces and MATLAB code.</p> <p><strong>References</strong></p> <p>BBC SNN (2015): A.Pearce. T.Brookes, M.Dewhirst, "Timbral differences between microphones", BBC Sound Now & Next Technology Fair, London, UK, 19-20 May 2015</p> <p>AES139 (2015): A.Pearce. T.Brookes, M.Dewhirst, "Validation of experimental methods to record stimuli for microphone comparisons", Audio Eng.Soc. 139th Convention, New York, USA, 29 Oct - 1 Nov 2015</p>
Self-assembly of ordered graphene nanodot arrays
<p>Raw data associated with the publication "Self-assembly of ordered graphene nanodot arrays" published in Nature Communications under the DOI: 10.1038/s41467-017-00042-4</p> <p>Abstract: The ability to fabricate nanoscale domains of uniform size in two-dimensional (2D) materials could potentially enable new applications in nanoelectronics and the development of innovative metamaterials. However, achieving even minimal control over the growth of 2D lateral heterostructures at such extreme dimensions has proven exceptionally challenging. Here we show the spontaneous formation of ordered arrays of graphene nano-domains (dots), epitaxially embedded in a 2D boron-carbon-nitrogen alloy. These dots exhibit a strikingly uniform size of 1.6nm ± 0.2nm and strong ordering, and the array periodicity can be tuned by adjusting the growth conditions. We explain this behaviour with a model incorporating dot-boundary energy, a moiré-modulated substrate interaction, and long-range repulsion between dots. This new 2D material, which theory predicts to be an ordered composite of uniform-size semiconducting graphene quantum dots laterally integrated within a larger-bandgap matrix, holds promise for novel electronic and optoelectronic properties, with a variety of potential device applications.</p>
Data for PASP paper: Optimal photometry of point sources: Joint source flux and background determination on array detectors - from theory to practical implementation
<p>High-resolution figures for paper "Optimal photometry of point sources: Joint source flux and background determination on array detectors - from theory to practical implementation", accepted for publication in The Publications of the Astronomical Society of the Pacific (PASP).</p>
Online appendix to State of the CArt: Evaluating Covering Array generators at scale
<p>This dataset includes the input models, figures, and resulting output of all CA generation tools evaluated in the context of the article "State of the CArt: Evaluating Covering Array generators at scale".</p><p>The file `models.tar.gz` includes the 295 input parameter models in four different dialects (ACTS, CTWedge/pMEDICI, PICT, and CASA).</p><p>The file `figures.zip` contains the underlying data of the figures included in the article and the resulting figures (as well as a number of additional visualizations that were not used in the published work).</p><p>The files beginning with `evaluation` contain the output, timing, and error messages produced by each of the competing tools, in one folder per strength (named after a timestamp in ascending order of strength).<br>In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]<br>where "toolname" is identical to the current folder,<br>"model_filename" is the exact name of the model file (including suffix),<br>"strength" is the combinatorial strength of the resulting CA (between 2 and 5),<br>"iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),<br>"suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV).</p><p>All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.</p><p>CASAConverterCLI.jar is a standalone Java program that converts CTWedge models to CASA models. It accepts the path to a CTWedge model and the strength as its parameters.</p><p>ct-eval-framework.tar.bz2 contains the evaluation framework itself. It can be used to replicate our results and evaluate your own CA generator. Setup instructions are provided in the README.md file wihtin the archive.</p><p>wca-gcc-11-fix.patch is a patch that enables the compilation of WCA under newer versions of GCC.</p>
ComplexEye - a multi lens array microscope for High-Throughput embedded immune cell migration analysis
<p>This dataset contains raw high-resolution movies of migrating neutrophils, which were recorded using the ComplexEye, an array microscope with 16 independent aberration-corrected glass lenses spaced at the pitch of a 96-well plate. Please see the manuscript "ComplexEye - a multi lens array microscope for High-Throughput embedded immune cell migration analysis" for more information.</p><p>The movies can be assigned to the following figures in the manuscript:</p><ul><li>96-well_plate_movies_n=1_complexeye.zip: Figure 3a</li><li>96-well_plate_movies_n=1_leica.zip: Figure 3a</li><li>384-well_plate_movies_n=1_complexeye.zip: Figure 3b</li><li>384-well_plate_movies_n=16_complexeye.zip: Figure 3c</li><li>R01.zip - R17.zip: Figure 4 and 5</li></ul>
Observation of Electrical Alignment Signatures in An Isolated Thunderstorm by Dual-Polarized Phased Array Weather Radar and the Relationship with Intracloud Lightning Flash Rate
<div> <p>The data of the Dual-polarized Phased Array Weather Radar (DP-PAWR), from 2019-08-20 16:10:15 to16:41:04 on August 20, 2019. </p> <p> </p> </div>
Cup Mark Array - Algarve, Portugal
This rectangular array of cup marks was seen on the surface of the outcrop that the five tombs in the Necropole da Carrasqueira are cut into. There are 12 visible cup marks but there may have originally been perhaps 6 to 8 more as a section of the rock surface next to the array has spalled away. The indented edges of the spalled area indicate the probabable positions and extent of now erased cup marks. There are five rock-cut tombs on this outcrop, of Visigoth age (C5-6th). Two other separate and much larger cup marks were found on other parts of the outcrop. Source: Objaverse 1.0 / Sketchfab
Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior: resources and main figure data
<p><strong>Summary:</strong></p> <p>Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits. </p> <p><strong>Files included: </strong></p> <ul> <li>Vu, M-A. et al. (2023) - Key Resources Table.xlsx -- key resources used in this study</li> <li>README_figure_data_and_analysis.txt --a description of the organization of the files within this repository</li> <li>README_preprocessing_code.txt -- details about the preprocessing pipeline (including registration and localization pipelines) and annotation of the preprocessed data structure</li> <li>preprocessing_code.zip -- contains all the preprocessing code</li> <li>Fig01.zip -- preprocessed data and analysis code for main Figure 1</li> <li>Fig03.zip -- preprocessed data and analysis code for main Figure 3</li> <li>Fig04.zip -- preprocessed data and analysis code for main Figure 4</li> <li>Fig05.zip -- preprocessed data and analysis code for main Figure 5</li> <li>Fig06.zip -- preprocessed data and analysis code for main Figure 6</li> <li>Fig07.zip -- preprocessed data and analysis code for main Figure 7</li> <li>SuppFig01.zip -- preprocessed data and analysis code for supplemental Figure 1</li> <li>SuppFig02.zip -- preprocessed data and analysis code for supplemental Figure 2</li> <li>SuppFig03.zip -- preprocessed data and analysis code for supplemental Figure 3</li> <li>SuppFig04.zip -- preprocessed data and analysis code for supplemental Figure 4</li> <li>SuppFig05.zip -- preprocessed data and analysis code for supplemental Figure 5</li> <li>SuppFig06.zip -- preprocessed data and analysis code for supplemental Figure 6</li> <li>SuppFig07.zip -- preprocessed data and analysis code for supplemental Figure 7</li> </ul> <p>Each .zip file contains a folder corresponding to a figure. Within each figure folder will be a folder corresponding to the letter (e.g., A, B, C) of the panel within the figure. In addition to the panel folders, when applicable, there may also be a folder containing general-use functions or scripts, or interim results .mat files, that are called by the scripts within the subfolders. In each subfolder there will be 3 things:</p> <ol> <li>a folder of preprocessed data (see README_preprocessing_code.txt)</li> <li>a folder of the analysis scripts that analyzed the preprocessed data and generated the figure</li> <li>a README text file detailing the contents of both folders and the analysis workflow.</li> </ol> <p> </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.