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476
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ShareScore release 0.9.0
Dataset results
476 results for “footprints”
Regulation of nucleosome architecture and factor binding revealed by nuclease footprinting of the ESC genome
GEO Series GSE68400. Mus musculus. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Third-party reanalysis.
Mutant NPM1 marginally impacts ribosome footprint in acute myeloid leukemia cells
GEO Series GSE251919. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing; Other.
PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII [RIP-seq footprint]
GEO Series GSE197279. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Evidence of an Increased Pathogenic Footprint in the Lingual Microbiome of Untreated HIV Infected Patients
GEO Series GSE38908. Homo sapiens; Bacteria. 21 samples. Type: Expression profiling by array.
Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications
GEO Series GSE132219. Homo sapiens. 206 samples. Type: Expression profiling by array; Genome variation profiling by SNP array; Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing.
Ribosomal footprinting of MDA_Ctrl and MDA_Glu overexpression cell lines
GEO Series GSE77347. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Identification of genes essential for Moraxella catarrhalis growth under iron-limiting conditions using Genomic Array Footprinting (GAF)
GEO Series GSE41546. Moraxella catarrhalis BBH18. 24 samples. Type: Genome variation profiling by genome tiling array; Other.
LMX1B missense-perturbation of regulatory element footprints disrupt postnatal serotonergic forebrain axon arborization [ATAC-seq]
GEO Series GSE283962. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
SARS-CoV-2 viral RNA disseminates to hamster toes and associates with localized IFN-I production: mechanistic footprints of an abortive COVID-19 infection in pandemic-associated pernio
GEO Series GSE232226. Mesocricetus auratus; Homo sapiens. 38 samples. Type: Expression profiling by high throughput sequencing.
Tissue-specific transcription footprinting using RNA PolII DamID (RAPID) in C. elegans
GEO Series GSE157418. Caenorhabditis elegans. 28 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
High-resolution CTCF footprinting reveals impact of chromatin state on cohesin extrusion [RCMC]
GEO Series GSE285012. Mus musculus. 6 samples. Type: Other.
Genome-wide reduction in chromatin accessibility and unique transcription factor footprints in endothelial cells and fibroblasts in scleroderma skin
GEO Series GSE163199. Homo sapiens. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Demonstration of CUT&RUN motif footprint analysis using key blood progenitor transcription factors
GEO Series GSE136251. Homo sapiens. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Cell-free DNA comprises an in vivo, genome-wide nucleosome footprint that informs its tissue(s)-of-origin
GEO Series GSE71378. Homo sapiens. 60 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
LNCap cell nucleosome footprint elicits novel noncanonical GATA2 pioneer model
GEO Series GSE148935. Homo sapiens. 44 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
RELATIONSHIP BETWEEN NUTRIENT PROFILES, CARBON, AND WATER FOOTPRINT OF HOSPITAL MENUS
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SM Footprint Study - ERL
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China's first sub-meter building footprints derived by deep learning (part 2 of 2).
<h1><strong>Download</strong></h1> <p>Due to Zenodo's file size limitations, we are releasing <strong>different parts</strong> of CBF and GBD in <strong>different versions</strong>. See the below for specific information:</p> <p><strong>1. China's first sub-meter building footprints (CBF) derived by deep learning:</strong></p> <ul> <li>part1: version12 (v12), City 1 to 210, <a href="https://doi.org/10.5281/zenodo.10473278">https://doi.org/10.5281/zenodo.10473278</a></li> <li>part2: version13 (v13), City 211 to 356, <a href="https://doi.org/10.5281/zenodo.10475803">https://doi.org/10.5281/zenodo.10475803 <strong>(current version)</strong></a></li> </ul> <p> <strong>Building attributes:</strong></p> <ul> <li>id: Index number of the current building.</li> <li>year: Year of construction retrieved from GISA.</li> <li>height_mean: The average height of the building (computed from the pixels within the building footprint) obtained from CNBH (meters).</li> <li>height_max: Maximum height of the building (based on the highest pixel value within the building footprint) obtained from CNBH (meters).</li> <li>height_min: Minimum height of the building (based on the lowest pixel value within the building footprint) obtained from CNBH (meters).</li> <li>miniDist: Shortest straight-line distance to another building.</li> <li>dist_id: Index number of the building with the shortest straight-line distance to the current building.</li> <li>area: Area of the current building (square meters).</li> <li>perimeter: Perimeter of the current building (meters).</li> <li>inurban_19: A value of 1 indicates that the building was situated in an urban area in 1990, while a value of 0 signifies that it was located in a rural area in 1990. This determination is made using GUB data.</li> <li>inurban_1: A value of 1 indicates that the building was situated in an urban area in 1995, while a value of 0 signifies that it was located in a rural area in 1995. This determination is made using GUB data.</li> <li>inurban_20: A value of 1 indicates that the building was situated in an urban area in 2000, while a value of 0 signifies that it was located in a rural area in 2000. This determination is made using GUB data.</li> <li>inurban_2: A value of 1 indicates that the building was situated in an urban area in 2005, while a value of 0 signifies that it was located in a rural area in 2005. This determination is made using GUB data.</li> <li>inurban_3: A value of 1 indicates that the building was situated in an urban area in 2010, while a value of 0 signifies that it was located in a rural area in 2010. This determination is made using GUB data.</li> <li>inurban_4: A value of 1 indicates that the building was situated in an urban area in 2015, while a value of 0 signifies that it was located in a rural area in 2015. This determination is made using GUB data.</li> <li>inurban_5: A value of 1 indicates that the building was situated in an urban area in 2020, while a value of 0 signifies that it was located in a rural area in 2020. This determination is made using GUB data.</li> </ul> <p> </p> <p><strong>2. Global Building Dataset (GBD):</strong></p> <p>This dataset comprises approximately 800,000 images(512*512) with diverse architectural styles worldwide. It can be served as training and test samples for building extraction in different regions globally. In order to enhance usability, we did not break the continuity of the image and published it in 1024*1024 size.</p> <table> <tbody> <tr> <td>Version</td> <td>description</td> <td>link</td> </tr> <tr> <td>v1</td> <td>All labels. Images of Africa, Australia, and South America.</td> <td><a href="../records/10043352">https://zenodo.org/records/10043352</a></td> </tr> <tr> <td>v2</td> <td>image of Asia (part 1 to 30 of 53).</td> <td><a href="../records/10456238">https://zenodo.org/records/10456238</a></td> </tr> <tr> <td>v3</td> <td>image of Asia (part 31 to 53 of 53).</td> <td><a href="../records/10457368">https://zenodo.org/records/10457368</a></td> </tr> <tr> <td>v4</td> <td>image of Europe (part 1 to 21 of 58).</td> <td><a href="../records/10458273">https://zenodo.org/records/10458273</a></td> </tr> <tr> <td>v5</td> <td>image of Europe (part 21 to 42 of 58).</td> <td><a href="../records/10460868">https://zenodo.org/records/10460868</a></td> </tr> <tr> <td>v6</td> <td>image of Europe (part 43 to 58 of 58).</td> <td><a href="../records/10462506">https://zenodo.org/records/10462506</a></td> </tr> <tr> <td>v7</td> <td>image of North America (part 1 to 20 of 93).</td> <td><a href="../records/10463385">https://zenodo.org/records/10463385</a></td> </tr> <tr> <td>v8</td> <td>image of North America (part 21 to 40 of 93).</td> <td><a href="../records/10465076">https://zenodo.org/records/10465076</a></td> </tr> <tr> <td>v9</td> <td>image of North America (part 41 to 60 of 93).</td> <td><a href="../records/10466569">https://zenodo.org/records/10466569</a></td> </tr> <tr> <td>v10</td> <td>image of North America (part 61 to 80 of 93).</td> <td><a href="../records/10467291">https://zenodo.org/records/10467291</a></td> </tr> <tr> <td>v11</td> <td>image of North America (part 81 to 93 of 93).</td> <td><a href="../records/10471557">https://zenodo.org/records/10471557</a></td> </tr> </tbody> </table> <p> </p>
Mapping roadless areas in regions with contrasting human footprint
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Footprints - Rhynchosaur
# SHCMS:G.12872 **Rhynchosaur footprints** Fine-grained sandstone slab preserving the footprints of a Triassic rhynchosaur. Found at Grinshill, Shropshire. Age: approx 225 million years. Length 25cm Width 12.5cm Depth 1.5cm. Imaged using an Artec spider scanner and processed using Artec studio 12. If you like this model or any others we produce we'd love to hear from you and how you've used them. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.