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13,117 results for “Maps”
datset of "Networks and genes modulated by posterior hypothalamic stimulation in patients with aggressive behaviours: Analysis of probabilistic mapping, normative connectomics, and atlas-derived transcriptomics of the largest international multi-centre dataset"
<p>This dataset accompanies the manuscript:<br> "Networks and genes modulated by posterior hypothalamic stimulation in patients with aggressive behaviours: Analysis of probabilistic mapping, normative connectomics, and atlas-derived transcriptomics of the largest international multi-centre dataset."<br> DOI: (https://doi.org/10.1101/2022.10.29.22281666)</p> <p>by</p> <p>Flavia Venetucci Gouveia1,2,3*†,Jürgen Germann4,5†, Gavin JB Elias4,5, Alexandre Boutet4,6, Aaron Loh4,5, Adriana Lucia Lopez Rios7,8, Cristina V Torres Diaz9, William Omar Contreras Lopez10,11, Raquel CR Martinez3,12, Erich T Fonoff13, Juan C Benedetti-Isaac14, Peter Giacobbe 2,15,16, Pablo M Arango Pava17, Han Yan5,18, George M Ibrahim5, 18,19,20, Nir Lipsman2,5,15, Andres M Lozano4,5, Clement Hamani2,5,15*</p> <p>1. Neuroscience and Mental Health, Hospital for Sick Children Research Institute; Toronto, Canada <br> 2. Sunnybrook Research Institute; Toronto, Canada<br> 3. Division of Neuroscience, Sírio-Libanês Hospital; São Paulo, Brazil<br> 4. Division of Neurosurgery, Department of Surgery, University Health Network, Toronto, Canada<br> 5. Division of Neurosurgery, Department of Surgery, University of Toronto; Toronto, Canada<br> 6. Joint Department of Medical Imaging, University of Toronto; Toronto, Canada<br> 7. Department of Functional and Stereotactic Neurosurgery, University Hospital San Vicente Fundación,<br> Medellín, Colombia<br> 8. Department of Functional and Stereotactic Neurosurgery, San Vicente Fundación, Rionegro, Colombia<br> 9. Department of Neurosurgery, University Hospital La Princesa; Madrid, Spain<br> 10. Nemod Research Group, Universidad Autónoma de Bucaramanga; Bucaramanga, Colombia<br> 11. Division of Functional Neurosurgery, Department of Neurosurgery, FOSCAL Clinic; Bucaramanga,<br> Colombia<br> 12. LIM 23, Institute of Psychiatry, School of Medicine, University of São Paulo; São Paulo, Brazil<br> 13. Department of Neurology, Integrated Clinic of Neuroscience, School of Medicine, University of São Paulo;<br> São Paulo, Brazil.<br> 14. Stereotactic and Functional Neurosurgery Division of the International Misericordia Clinic; Barranquilla,<br> Colombia<br> 15. Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre; Toronto, Canada<br> 16. Department of Psychiatry, University of Toronto; Toronto, Canada<br> 17. Servicio de Neuocirugia Funcional y Esterotaxia, Clinica Comuneros Bucaramanga, Clinica Desa y Clinica<br> Dime Neurocardiovascular de Cali; Clinica Nueva del Lago, Bogota, Colombia.<br> 18. Division of Neurosurgery, The Hospital for Sick Children; Toronto, Canada<br> 19. Institute of Biomedical Engineering, University of Toronto; Toronto, Canada<br> 20. Institute of Medical Science, University of Toronto; Toronto, Canada<br> † Flavia Venetucci Gouveia and Jürgen Germann contributed equally to this work and share first authorship.</p> <p>* Corresponding Author: Dr. Flavia Venetucci Gouveia. Neuroscience and Mental Health, Hospital for Sick Children Research Institute. 686, Bay Street, Toronto, ON, M5G 0A4, Canada. flavia.venetuccigouveia@sickkids.ca<br> * Corresponding Author: Dr. Clement Hamani. Sunnybrook Research Institute. 2075 Bayview Ave, S126. Toronto, ON, M4N3M5, Canada. clement.hamani@sunnybrook.ca</p> <p>It contains a zip folder ("estimated_binary_Volume_of_Tissue_Activated.zip") with one file (in nii.gz format) per patient estimating the Volume of Activated Tissue for that patient (the estimated 'reach' of the active DBS stimulation) and a demographics file.<br> The case numbers are identical to Table 1 in the manuscript.</p>
Data from: Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast
<p>This directory contains data used in the paper "Classification and mapping of low-statured 'shrubland' cover types in<br> post-agricultural landscapes of the US Northeast" published in the journal International Journal of Remote Sensing. No data was collected specifically for this study; instead, we made use of publicly available LiDAR data and LANDSAT imagery.</p>
ES-PT, Extended Sensors, Complex manoeuvres: HD maps
<p>Use Case Category: <strong>Extended Sensors</strong><br> User Story: <strong>Complex manoeuvres in cross-border settings: HD Maps</strong><br> Location: Spain-Portugal (ES-PT) cross-border corridor</p> <p>According to 3GPP TS 22.186 R16, Extended Sensors “enable the exchange of raw or processed data gathered through local sensors or live video data among vehicles, RSUs, devices of pedestrians and V2X application servers. The vehicles can enhance the perception of their environment beyond what their own sensors can detect and have a more holistic view of the local situation”.</p> <p>Scenario 3: <strong>HD maps</strong>:</p> <p>This use case focusses in the capability of automated vehicles and road-side infrastructure to detect changes in the road and the HD-Map used for driving, and in sending these changes to the ITS-Centre in order to centralise and broadcast this information to the other approaching vehicles.</p> <p>Lasers, cameras and traffic radars information can be fused with D-GPS and HD-Maps data, in order to determine changes in the stored information. This information can be measured in terms of length of the event, changes in road description (number of lanes, width of the lanes), dangerousness of the situation, etc.</p> <p>Finally, obtained data is shared with the ITS-Centre in order to be stored and shared with other vehicles, ensuring the information reaches all the relevant vehicles.</p>
A map showing the locations of instruments used during the Convective Storm Initiation Project (CSIP) pilot
The CSIP pilot project was conducted in July 2004 centred around the Chilbolton radar facility where there is a 25 metre radar dish with two of the most sophisticated meteorological radars in the world. The pilot project utilised many of the instruments and facilities from the NCAS Universities' Facility for Atmospheric Measurement (UFAM) including a Cessna aircraft, wind profiler, Doppler lidar, sodar and automatic weather stations and scientists from the universities of Aberystwyth, Leeds, Reading, Salford, Essex, Bath and UMIST as well also from the Met Office.
Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia). Companion data to article "Executable Map Paper (EMaP) for archaeological LiDAR"
<p>Archaeological LiDAR data, Kostanjevica na Krasu (Slovenia) is a supplement to the article "Executable Map Paper (EMaP) for archaeological LiDAR". In the future we also intend to publish an archaeological interpretation of the same data (current working title: "An Archaeological Interpretation of Airborne LiDAR Data. Case study from Kostanjevica na Krasu (Slovenia)").</p> <p>All relevant para- and metadata are available in the listed publications.</p> <p>The deposited data are intended for use in a GIS system and consist of:</p> <p>0.5m DFM (GeoTIFF with TFW)</p> <p>Sky view visualisation of the same DFM (GeoTIFF)</p> <p>Archaeological features - points ( Shape file)</p> <p>Archaeological features - lines (Shape file)</p>
A proteome-wide map of chaperone-assisted protein refolding in a cytosol-like milieu
<p>The journey by which proteins navigate their energy landscapes to their native structures is complex, involving (and sometimes requiring) many cellular factors and processes operating in partnership with a given polypeptide chain's intrinsic energy landscape. The cytosolic environment and its complement of chaperones play critical roles in granting many proteins safe passage to their native states; however, it is challenging to interrogate the folding process for large numbers of proteins in a complex background with most biophysical techniques. Hence, most chaperone-assisted protein refolding studies are conducted in defined buffers on single purified clients. Here, we develop a limited-proteolysis mass spectrometry approach paired within an isotope-labeling strategy to globally monitor the structures of refolding <em>E</em>. <em>coli</em> proteins in the cytosolic medium and with the chaperones, GroEL/ES (Hsp60) and DnaK/DnaJ/GrpE (Hsp70/40). GroEL can refold the majority (85%) of the <em>E</em>. <em>coli</em> proteins for which we have data, and is particularly important for restoring acidic proteins and proteins with high molecular weight, trends that come to light because our assay measures the structural outcome of the refolding process itself, rather than binding or aggregation. For the most part, DnaK and GroEL refold a similar set of proteins, supporting the view that despite their vastly different structures, these two chaperones both unfold misfolded states, as one mechanism in common. Finally, we identify a cohort of proteins that are intransigent to being refolded with either chaperone. The data support a model in which chaperone-nonrefolders may fold most efficiently cotranslationally, and then remain kinetically trapped in their native conformations.</p>
USGS EdMap 2022 Swales Mountain Map
<p>The dataset attached includes all the field notes taken while mapping the Swales Mountain area for a 2021-2022 USGS EdMap funded project. This dataset is compatible with an updated geologic map of Swales Mountain, NV (7.5’ quadrangle at 1:5,000 scale). Swales Mountain hosts a shallow to mid-crustal Eocene magmatic system. The goal of this project was to remap the various subvolcanic and plutonic igneous units in greater detail. The seven different units which range from rhyolite to andesite. The newly presented information from the Swales Mountain geologic map can aid in better understanding the evolution of modern and ancient arc magmatic systems alike.</p>
Data from: Bedrock geological map predictions for Phanerozoic fossil occurrences
<p>This is the supplementary data repository of the <em>Paleobiology</em> paper titled <em>Bedrock Geological Map Predictions for Phanerozoic Fossil Occurrences</em>. Geographically-explicit, taxonomically resolved fossil occurrences are necessary for reconstructing macroevolutionary patterns and for testing a wide range of hypotheses in the Earth and life sciences. Heterogeneity in the spatial and temporal distribution of fossil occurrences in the Paleobiology Database (PBDB) is attributable to several different factors, including turnover among biological communities, socioeconomic disparities in the intensity of paleontological research, and geological controls on the distribution and fossil yield of sedimentary deposits. Here we use the intersection of global geologic map data from Macrostrat and fossil collections in the PBDB to assess the extent to which the potentially fossil-bearing, surface-expressed sedimentary record has yielded fossil occurrences. We find a significant and moderately strong positive correlation between geologic map area and the number of fossil occurrences. This correlation is consistent regardless of map unit age and binning protocol, except at period level; the Neogene and Quaternary have non-marine map units covering large areas and yielding fewer occurrences than expected. The sedimentary record of North America and Europe yields significantly more fossil occurrences per sedimentary area than similarly-aged deposits in most of the rest of the world. However, geographic differences in area and age of sedimentary deposits lead to regionally different expectations for fossil occurrences. Using the sampling of surface-expressed sedimentary units in North America and Europe as a predictor for what might be recoverable from the surface-expressed sedimentary deposits of other regions, we find that the rest of the globe is approximately 45% as well sampled in the PBDB. Using age and area of bedrock and sampling in North America and Europe as a basis for prediction, we estimate that over 639 thousand occurrences from outside of these regions would need to be added to the PBDB to achieve global geological parity in sampling. In general, new terrestrial fossil occurrences are expected to have the greatest impact on macroevolutionary patterns. </p>
Annual maps of swidden agriculture landscape derived from MODIS vegetation index in northern Laos during 2001-2020
<p>This document (Word) is a brief introduction about the resultant maps of swidden agricultural landscape in northern Laos during 2001-2020 derived from the MODIS13Q1 Normalized Difference Vegetation Index (NDVI) time-series products using a threshold method. For more information about the dataset, one can refer to the paper entitled “Swidden agriculture landscape mapping using MODIS vegetation index time series and its spatio-temporal dynamics in northern Laos” published in Remote Sensing. The format of this dataset (swidden agriculture landscape) is raster (.tif) with an attribute value of 1. It has a spatial resolution of 250m×250m and covers eleven provinces (including Bokeo, Borikhamxay, Huaphanh, Luangnamtha, Luangprabang, Oudomxay, Phongsaly, Vientiane, Xayaboury, Xaysomboon and Xieng-khuang) and one prefecture (Vientiane, Figure 1). The geographic projection is WGS_1984_UTM_Zone_48N.</p>
FIG. 84. Distribution maps, A. mariae species group. A. A. incurva. B. A in Revision Of The Nearctic Species Of The Genus Amiota Loew (Diptera: Drosophilidae)
FIG. 84. Distribution maps, A. mariae species group. A. A. incurva. B. A. mariae Máca. C. A. texas.
FIG. 87. Distribution maps, A. avipes species group. A. A. avipes. B. A. biacuminis. C. A in Revision Of The Nearctic Species Of The Genus Amiota Loew (Diptera: Drosophilidae)
FIG. 87. Distribution maps, A. avipes species group. A. A. avipes. B. A. biacuminis. C. A. forceps.
63k Maps of Kumaun and British Garhwal of 1867 to 1879
<p>The Gurkhas of Nepal expanded their territory and conquered the areas of Kumaun and Garhwal in the 1790s, and ruled these territories with an iron fist. The Hon. East India Company eyed these Northern territories as potential trade routes leading to Tibet and China, and in 1814 war broke out between the EIC and Nepal. The 1816 Treaty of Segowlee concluded the war between the East India Company and Nepal. Article 5 defined the Kali River as the Western border of Nepal, ceding to the British the territories of Kumaon and Garhwal lying West of the river. Immediately following the conclusion of the war, the Survey of India surveyors were able to enter these territories to begin the difficult task of mapping this mountainous area. The first topographically surveyed maps at a scale of 1 inch per mile were issued in 1867, but it wasn’t until 1879 that the topographical survey was completed and the last of the set of 38 maps were issued. </p> <p>The present collection includes 29 of the 38 original maps in this series, showing parts of the Indo-Tibet and Indo-Nepal borders and multiple Himalayan peaks. Hill shading is used to display the shapes of the hills and valleys, since in these early days of mountain mapping the more modern system of contour mapping was not yet available.</p>
Supplementary Figures -B Cell Epitopes Mapping of the Vibrio cholera Toxins A, B, and P and an ELISA assay
<p>Figure S1- List of <em>Vibrio cholerae</em> [toxin A (P01555), B (P01556), and P (P29485)] synthetic peptides and position in the cellulose membrane of Spot synthesis.</p> <p>Figure S2- Purification of the peptide B (Vc/TxB-11) by HPLC using an XBridge BEH C18 (2.7 μ, 5 cm x 4.6 mm) column coupled to a Water HPLC system at a flow rate of 1.2 ml min<sup>-1 </sup>using mobile phases A [0.05% formic acid in water (18 MΩ × cm)] and B [(0.05% formic acid in ACN (acetonitrile acid)] (v/v) in water. Detection at 200-300 nm using a diode array.</p> <p>Figure S3- Mass spectrometry. The peptide B (Vc/TxB-11) was solubilized in deionized water to a final concentration of 10 µg/ml and then added formic acid to a final concentration of 0.1%. The mass spectrometer used was the Water UPLC model Acquity-I Class. The samples were electronically injected by the equipment at 1 µl/min. The range used for ion detection ranged from 1000-11500 m/z.</p>
Mapping trait versus species turnover reveals spatiotemporal variation in functional redundancy and network robustness in a plant‐pollinator community
<p>1. Functional overlap among species (redundancy) is considered important in shaping competitive and mutualistic interactions that determine how communities respond to environmental change. Most studies view functional redundancy as static, yet traits within species – which ultimately shape functional redundancy – can vary over seasonal or spatial gradients. We therefore have limited understanding of how trait turnover within and between species could lead to changes in functional redundancy or how loss of traits could differentially impact mutualistic interactions depending on where and when the interactions occur in space and time.</p> <p>2. Using an Arctic bumblebee community as a case study, and 1,277 individual measures from 14 species over three annual seasons, we quantified how inter- and intraspecific body-size turnover compared to species turnover with elevation and over the season. Coupling every individual and their trait with a plant visitation, we investigated how grouping individuals by a morphological trait or by species identity altered our assessment of network structure and how this differed in space and time. Finally, we tested how the sensitivity of the network in space and time differed when simulating extinction of nodes representing either morphological trait similarity or traditional species groups. This allowed us to explore the degree to which trait-based groups increase or decrease interaction redundancy relative to species-based nodes.</p> <p>3. We found that i) groups of taxonomically and morphologically similar bees turn over in space and time independently from each other, with trait turnover being larger over the season; ii) networks composed of nodes representing species versus morphologically similar bees were structured differently; and iii) simulated loss of bee trait groups caused faster coextinction of bumblebee species and flowering plants than when bee taxonomic groups were lost. Crucially, the magnitude of these effects varied in space and time, highlighting the importance of considering spatiotemporal context when studying the relative importance of taxonomic and trait contributions to interaction network architecture.</p> <p>4. Our finding that functional redundancy varies spatiotemporally demonstrates how considering the traits of individuals within networks is needed to understand the impacts of environmental variation and extinction on ecosystem functioning and resilience.</p>
Maps of predicted carbon dioxide and methane fluxes from waterbodies in the Yukon-Kuskokwim Delta, Alaska
<p>In the Arctic, waterbodies are abundant, and rapid thaw of permafrost is destabilizing the carbon cycle and changing hydrology. It is particularly important to quantify and accurately scale aquatic carbon emissions in arctic ecosystems. Recently available high-resolution remote sensing datasets capture the physical characteristics of arctic landscapes at unprecedented spatial resolution. We demonstrate how machine learning models can capitalize on these spatial datasets to greatly improve accuracy when scaling waterbody CO<sub>2</sub> and CH<sub>4</sub> fluxes across the Yukon-Kuskokwim (YK) Delta of south-west AK. These datasets include carbon dioxide and methane dissolved concentrations and diffusive fluxes from a research watershed in the central YK Delta. </p>
Landcover map for the central region of the Yukon-Kuskokwim Delta, Alaska
<p>Climate change is causing an intensification in tundra fires across the Arctic, including the unprecedented 2015 fires in the Yukon-Kuskokwim (YK) Delta. The YK Delta contains extensive surface waters (∼33% cover) and significant quantities of organic carbon, much of which is stored in vulnerable permafrost. Inland aquatic ecosystems act as hot-spots for landscape CO<sub>2</sub> and CH<sub>4</sub> emissions and likely represent a significant component of the Arctic carbon balance, yet aquatic fluxes of CO<sub>2</sub> and CH<sub>4</sub> are also some of the most uncertain. We measured dissolved CH<sub>4 </sub>and CO<sub>2</sub> concentrations (n = 364), in surface waters from different types of waterbodies during summers from 2016 to 2019. We used Sentinel-2 multispectral imagery to classify landcover types and area burned in contributing watersheds. We develop a model using machine learning to assess how waterbody properties (size, shape, and landscape properties), environmental conditions (O<sub>2</sub>, temperature), and surface water chemistry (dissolved organic carbon composition, nutrient concentrations) help predict in situ observations of CH<sub>4 </sub>and CO<sub>2</sub> concentrations across deltaic waterbodies. CO<sub>2</sub> concentrations were negatively related to waterbody size and positively related to waterbody edge effects. CH<sub>4</sub> concentrations were primarily related to organic matter quantity and composition. Waterbodies in burned watersheds appeared to be less carbon limited and had longer soil water residence times than in unburned watersheds. Our results illustrate the importance of small lakes for regional carbon emissions and demonstrate the need for a mechanistic understanding of the drivers of greenhouse gasses in small waterbodies.</p>
Describing and mapping of the main existing structures and systematic initiatives and academic activities for surveillance in the EU for zoonoses (transboundary, emerging and re-emerging) in domestic animals and wildlife
<p>These annexes refer to a report which describes and maps the main existing structures and systematic initiatives and academic activities for surveillance in the EU for transboundary, emerging and re-emerging zoonoses in domestic animals, wildlife, and the environment, developed by the different sectors, namely human, domestic animal, wildlife and environmental, under One Health approach. This is essential to provide scientific and technical advice and improve future schemes of surveillance. A questionnaire was compiled by MSs and the information collected was complemented by literature reviews about (i) the main existing structures and systematic initiatives or activities, and (ii) academic activities for surveillance in the EU for zoonoses in domestic animals and wildlife. The annexes to the report are as follows:</p> <p>Annex 1. Questionnaire survey on official zoonotic disease surveillance activities in the EU and neighbouring countries.</p> <p>- Sheet 1: PART 1 – Surveillance. This part explores the general organization of the surveillance plan</p> <p>- Sheet 2: PART 2 – Pathogens. This part aims to identify target pathogen and species and methods for surveillance</p> <p>Annex 2. Characteristic of surveillance plans.</p> <p>- Sheet “Pathogens”, where not primary but also a wide range of hosts are summarized.</p> <p>- Sheet “active/passive surveillance” by country</p> <p>- Sheet “origin of funding” (the proportion and number) of surveillance plans</p> <p>Annex 3. More detailed distribution of active and passive surveillance planaccording to countries and pathogen is presented in this Annex.</p> <p>Annex 4. Standardized data model (to extract key information to characterize the surveillance systems in the literature review on systematic surveillance. The data model was divided into two parts:</p> <p>- Sheet 1: PART 1 – Surveillance system (explores the general organization)</p> <p>- Sheet 2: PART 2 – Pathogens (identifies the target pathogen, species, and methods)</p> <p>Annex 5. Standardized data model used during the literature review to extract key information to characterize the surveillance performed by the academia</p>
Clusters of interactions common between the Parkinson's disease map and the Ageing map
<p>This set of files was generated using the script demonstrating the use of MINERVA Net repository.</p> <p>The script is available under:</p> <p><a href="https://gitlab.lcsb.uni.lu/minerva/api-scripts/-/blob/master/R/API-minervanet.R">https://gitlab.lcsb.uni.lu/minerva/api-scripts/-/blob/master/R/API-minervanet.R</a></p> <p>The diagrams should be opened with the CellDesigner software (<a href="https://www.celldesigner.org/">https://www.celldesigner.org/</a>).</p>
Sentinel-1 InSAR LOS velocity map over the Bay Area (Descending track 42, 2015-2022)
<p>Sentinel-1 InSAR LOS velocity map over the Bay Area</p> <p>(Descending track 42, 2015-2022)</p> <p>Please cite the following paper If you find the data useful: </p> <p><strong>Li, Y.</strong>, Bürgmann, R., & Taira, T. (2023). Spatiotemporal variations of surface deformation, shallow creep rate, and slip partitioning between the San Andreas and southern Calaveras Fault. <em>Journal of Geophysical Research: Solid Earth</em>, 128, e2022JB025363. <a href="https://doi.org/10.1029/2022JB025363">https://doi.org/10.1029/2022JB025363</a></p>
Data from "Molecular Mapping of DR Tau's Protoplanetary Disk, Envelope, Outflow, and Large-Scale Spiral Arm"
<p>Data associated with Huang et al., 2023, "Molecular Mapping of DR Tau's Protoplanetary Disk, Envelope, Outflow, and Large-Scale Spiral Arm," ApJ, 943, 107</p> <p>The raw data can be obtained by requesting data from program W20BE (PI: J. Huang) from the NOEMA archive. </p> <p><strong>Images</strong></p> <p>images.tar: FITS files of image cubes and moment maps as shown in Figs. 2, 3, 5, 9, and 10 (see also finalimagingscript.py)</p> <p><strong>Spectra</strong></p> <p>spectra.tar: ASCII files of spectra shown in Figs. 1 and 9 (see also finalimagingscript.py) </p> <p><strong>Measurement sets (CASA format)</strong></p> <p>drtau_LINENAME_corrected.ms.tar: Measurement set for a given line, corresponding to drtau_LINENAME_selfcal-contsub.uvt in lines_contsub_uvt.tar </p> <p>drtau_ui_cont_corrected.ms.tar: Continuum measurement set corresponding to the UI baseband, generated from w20be-ui-cont-selfcal.uvt in continuum_uvt.tar </p> <p><strong>UV tables (GILDAS format)</strong></p> <p>LR_uvt.tar: Pipeline-calibrated UV tables of low-resolution data (see w20be-tables-LR.clic)</p> <p>HR_uvt.tar: Pipeline-calibrated UV tables of high-resolution data (see w20be-tables-HR.clic)</p> <p>continuum_uvt.tar: Self-calibrated, spectrally averaged continuum UV tables generated from LR_uvt.tar</p> <p>lines_contsub_uvt.tar: Self-calibrated, continuum-subtracted line UV tables generated from the UV tables in HR_uvt.tar</p> <p><strong>Scripts</strong></p> <p>w20be-tables-LR.clic: CLIC script used to output UV tables of low-resolution data from the pipeline-calibrated data (output contained in LR_uvt.tar)</p> <p>w20be-tables-HR.clic: CLIC script used to output UV tables of high-resolution data from the pipeline-calibrated data (output contained in HR_uvt.tar)</p> <p>uvfitstoms.py: Script to export uvfits files to measurement sets and to correct the metadata in the measurement sets </p> <p>finalimagingscript.py: CASA script used to generate imaging products in images.tar and spectra in spectra.tar </p> <p><strong>Other:</strong></p> <p>calib.tar: Files output by NOEMA pipeline </p> <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.