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.
3,101
datasets available to search
ShareScore release 0.9.0
Dataset results
3,101 results for “tables”
picnic table
Low poly / game ready picnic table. Texture included : (512 / 1k / 2k / 4k) - Base color - Metalic - Roughness - Roughness and metallic (packed, R = Roughness, G = Metallic) - Normal map (OpenGL) - Normal map (DirectX) Source: Objaverse 1.0 / Sketchfab
Continuum u-v tables for NGC 1333 IRAS 2A (PdBI, 203 GHz), NGC 1333 IRAS 4A (SMA, 335), NGC 1333 IRAS 4B (PdBI, 203), and VLA 1623 (ALMA, 219)
<p>This archive is currently hosted at zenodo.com by Magnus Persson. If <br /> you downloaded it from elsewhere, please send me an <br /> email (magnusp@vilhelm.nu).</p> <p>This data was observed at the IRAM Plateau de Bure Interferometer <br /> (now NOEMA), Atacama Large (sub-)Millimeter Array (ALMA) and <br /> SubMillimter Array (SMA). Any publication arising from this data <br /> should have the appropriate notice that is provided by the <br /> instititue in question (see http://iram.fr, http://almascience.org <br /> or http://sma1.sma.hawaii.edu/).</p> <p>The data is provided as is, however, with this data it is possible <br /> to reproduce the results presented in the paper(s) : "Constraining <br /> the physical structure of the inner few 100 AU scales of <br /> deeply-embedded low-mass protostars.", Authors: M. V. Persson, D. <br /> Harsono, J. J. Tobin, E. F. van Dishoeck, J. K. Jørgensen, N. <br /> Murillo, and S.-P. Lai, journal Astronomy & Astrohpysics</p> <p><br /> This dataset currently contains the continuum subtracted UV-tables, <br /> in UVFITS format written by GILDAS MAPPING for the sources NGC 1333 <br /> IRAS 2A (203 GHz), NGC 1333 IRAS 4A (335), NGC 1333 IRAS 4B (203), <br /> and VLA 1623 (219).</p> <p> </p>
IMPETUS: New Cloudy's radiative tables for accretion onto a galaxy black hole. Calculations II. Table 2.
<p>This is a .ZIP file, which contains the results of Calculations II. The main directory contains sub-directories with ascii files. Each column is properly described in the article.</p>
IMPETUS: New Cloudy's radiative tables for accretion onto a galaxy black hole. Calculations I. Table 2.
<p>This is a .ZIP file, which contains the results of Calculations I. The main directory contains sub-directories with ascii files. Each column is properly described in the article.</p>
IMPETUS: New Cloudy's radiative tables for accretion onto a galaxy black hole. Calculations I-VI. Table 2.
<p>These are gzipped/tar files, which contain the results of Calculations I-VI. The main directories contain sub-directories with ascii files. Each column is properly described in the article. The equilibrium temperature for any configuration can be calculated and plot with the new script at https://doi.org/10.5281/zenodo.4381019.</p>
Figure 2. - Nesting architecture of Xylocopanasalis; Dissected nests of Xylocopanasalis revealing the nest structure inside the bamboo culm and its residents. Measurements of the nest parameters are shown in Table 1. The diameters of the nests (excluding the nest thickness) were measured at the nest entrance, followed by the vestibulum (antechamber) length, cell length, and the inner most cell length, respectively (2a). Cells containing larvae with pollen masses and their feces were collected and weighted (2b).
Figure 2. - Nesting architecture of Xylocopanasalis; Dissected nests of Xylocopanasalis revealing the nest structure inside the bamboo culm and its residents. Measurements of the nest parameters are shown in Table 1. The diameters of the nests (excluding the nest thickness) were measured at the nest entrance, followed by the vestibulum (antechamber) length, cell length, and the inner most cell length, respectively (2a). Cells containing larvae with pollen masses and their feces were collected and weighted (2b).
Research table for visualization of research performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics via different communication channels
<p>A collection of data for (a practice) work during my studies for Bachelor. Since there wasn't much time given the data collection isn't as complete as it could be. Also, all text is in German.</p> <p>Definition of variables for data collection can be found in my finished work "How is reserach performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics made visible via different communication channels; analysis of information of publication on official social media channels and news on offical webside" (in question to be published on Zenodo).</p> <p>Collected data from following official communication channels: Facebook, Twitter, Blogs, Google +, Youtube, Flickr, LinkedIn, Research-Gate, Slideshare, repository and news on websites. For some channels not all data could be collected. Research period from 01.08.2016 to 01.02.2017 (half a year).</p>
MESA model files, scripts, and opacity tables for: 'An Expanded Set of Los Alamos OPLIB Tables in MESA: Type-1 Rosseland-mean Opacities and Solar Models'
<p>MESA model files and plotting scripts, and opacity tables as seen in 'An Expanded Set of Los Alamos OPLIB Tables in MESA: Type-1 Rosseland-mean Opacities and Solar Models'. <br><a href="https://iopscience.iop.org/article/10.3847/1538-4357/ad4355" target="_blank" rel="noopener noreferrer">https://iopscience.iop.org/article/10.3847/1538-4357/ad4355</a><br><br>Models were run using MESA version r22.11.1, with fixes to the bugs documented at https://docs.mesastar.org/en/release-r24.03.1/known_bugs.html#r22-11-1.</p> <p>We use mesasdk-x86_64-linux-22.6.1.tar.gz sdk available at http://user.astro.wisc.edu/~townsend/resource/download/mesasdk<br><br><strong>OPLIB type-1 opacity tables are now available here, in MESA release version r24.08.1+, and at http://aphysics2.lanl.gov/opacity/lanl.</strong><br><br><strong>The splined tables are on a uniform grid whereas the raw tables are not. The splined tables also replaces nan edge values (at high temperatures) using interpolation. Modify the python spline script if you'd like to spline the opacities onto a different size grid.</strong> <br><br>*(In future solar modeling work, we recommend users use 'rmid' (cell centered radius in Rsun) instead of 'radius' (cell edge/face radius in Rsun) as all structural variables are typically defined at the cell center. Look into $MESA_DIR/star/defaults/profile_columns.list and ensure you are always consistently using cell centered or cell-faced variables with each other.)*</p>
tFood: Semantic Table Annotations Benchmark for Food Domain
<p>tFood is a dataset for tabular data to knowledge graph matching. It is derived for the Food domain and has two types of tables. On the one hand, <strong>Horizontal Relational Tables</strong> are where each table represents a collection of entities. On the other hand, <strong>Entity Tables </strong>are where each of which represents a single entity. We supported ground truth data from Wikidata as a target knowledge graph (KG).</p> <p>The supported tasks for semantic table annotations are: </p> <ol> <li>Topic Detection (<strong>TD</strong>) links the entire table to an entity or a class from the target KG.</li> <li>Cell Entity Annotation (<strong>CEA</strong>) maps individual table cells to entities from the target KG.</li> <li>Column Type Annotation (<strong>CTA</strong>) links individual table columns to classes from the target KG.</li> <li>Column Property Annotation (<strong>CPA</strong>) detects the relations between column pairs from the target knowledge graph.</li> </ol> <p>This dataset version will be used during SemTab 2023 - Round 1. So, the ground truth data for the test set is currently hidden. We will add such ground truth after the conclusion of the challenge. </p> <p> </p> <p> </p>
Data for figures and tables in: "Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument"
<p>Supplementary material to DESI's publication 'Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument' to comply with the data management plan.</p>
Supplementary Table 1 - GISAID Accession Numbers of Samples analysed in the first and second waves of SARS-CoV-2 cases in Irish hospitals
<p>The Supplementary Table 1 contains the GISAID accession numbers of samples sequenced in the context of the AIID biobank in the Republic of Ireland during the first and second wave of SARS-CoV-2 cases in hospitals of Dublin.</p>
Code and tables for main figures of Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020
<p>Code and tables to reproduce the main figures (2a,2b,3a,3b,4a,5a) of Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020.</p> <p> </p>
Correspondence table between UNFCCC CRF and EXIOBASE industry sectors
<p>This repository contains a correspondence table (CT) that maps the UNFCCC Common Reporting Format (CRF) to the EXIOBASE v3 industry classification. The CT was compiled for our study on "Estimating the uncertainty of the greenhouse gas emission accounts<br>in Global Multi-Regional Input-Output analysis" submitted to the Journal of Earth System Science Data (ESSD): <a href="https://essd.copernicus.org/preprints/essd-2023-473/">https://essd.copernicus.org/preprints/essd-2023-473/</a></p> <p>In the UNFCCC CRF (2019 revision) emission sources are grouped in <strong>categories</strong> and <strong>classifications</strong>, in a hierarchical order. The highest ranked categories - also called sectors - are 1) Energy, 2) Industrial Processes and Product Use, 3) Agriculture, 4) Land use, land-use change, and forestry (LULUCF), 5) Waste and 6) Other. Those sectors are further broken down into sub-categories, e.g. 1.A.1.a.i. The sub-categories of the sectors Energy, Agriculture and LULUCF are further broken down by the classification. The classification distinguishes different fuel types (in case of emission from "Energy') and animal types (in case of emissions from "Agriculture"). Like the categories, the classification also follows a hierarchical structure.</p> <p>Parties report their emissions to the UNFCCC at different levels of resolution depending on national characteristics and data availability. </p> <p>Here, we provide two tables: </p> <ul> <li><a href="../api/records/10046372/draft/files/correspondence_CRFdetailed_to_EXIOBASE_root.xlsx/content">correspondence_CRFdetailed_to_EXIOBASE_root.xlsx</a>: Lists the correspondences only for the most detailed level (with regard to both category and classfication).</li> <li><a href="../api/records/10046372/draft/files/correspondence_CRFdetailed_to_EXIOBASE_coherent.xlsx/content">correspondence_CRFdetailed_to_EXIOBASE_coherent.xlsx</a>: List the correspondences for all levels (automatically compiled from the 'root' table).</li> </ul> <p><strong>Collaboration in checking, revising and refining the correspondence table is appreciated. Please contact me if you have a revised version so that I can upload it to this repository. </strong></p> <p> </p> <p> </p> <p> </p>
StreamMapper Membership Tables for GD-1 and Pal 5
<p>ECSV: Membership tables for GD-1 and Palomar 5 including the source id, SkyCoord, and samplings from the distribution of the membership likelihood for each star.</p><p>Tex: Membership tables for GD-1 and Palomar 5. Both are made by selecting the stars with >80% membership probability at the 95th-percentile of the membership posterior distribution.</p><p>Details, including the code used to generate these data files and the appropriate citations, can be found at <a href="https://github.com/nstarman/stellar_stream_density_ml_paper">nstarman/stellar_stream_density_ml_paper</a>.</p>
Data: On the role of water table depth, and urban and vegetation cover on groundwater dry period susceptibility
Open the record for dataset details and reuse information.
Source data for: All figures and tables included in NCOMMS-23-03997A
<p>Tools enable animals to exploit and command new resources. However, the neural circuits underpinning tool use and how neural activity varies with an animal's tool proficiency, are only known for humans and some other primates. We use 18F-fluorodeoxyglucose positron emission tomography to image the brain activity of naïve vs trained American crows (<em>Corvus brachyrhynchos</em>) when presented with a task requiring the use of stone tools. As in humans, talent affects the neural circuits activated by crows as they prepare to execute the task. Naïve and less proficient crows use neural circuits associated with sensory- and higher-order processing centers (the mesopallium and nidopallium), while highly proficient individuals increase activity in circuits associated with motor learning and tactile control (hippocampus, tegmentum, nucleus basorostralis, and cerebellum). Greater proficiency is found primarily in adult female crows and may reflect their need to use more cognitively complex strategies, like tool use, to obtain food.</p>
Supplementary Tables S1 - S6
<p>Supplementary Material for publication - Environmental DNA as a tool to reconstruct catch composition for longline fisheries vessels.</p> <p>S1: Brine tanks, species and samples collected per vessel</p> <p>S2: Summary statistics per sequencing run</p> <p>S3: Number of raw reads for non-target taxa and the taxa present in control samples</p> <p>S4: Number of raw reads per target species</p> <p>S5: ASV species assignment with bootstrap values</p> <p>S6: Raw ASV counts per sample</p>
Old Table
Old table for my shortfilm animatic. Table model, which was in the Orthodox churches of the 18th century. Source: Objaverse 1.0 / Sketchfab
low poly victorian table
low poly victorian table 3d modle. 128 by 128 texture, made in photoshop Source: Objaverse 1.0 / Sketchfab
1924.859 Table Fountain
You can copy, modify, and distribute this work, even for commercial purposes, all without asking permission. Learn more about The Cleveland Museum of Art's Open Access initiative: http://www.clevelandart.org/open-access-faqs *Table Fountain*, c. 1320–40. France, Paris, 14th century. Gilt-silver and translucent enamels; overall: 33.8 x 25.4 x 26 cm (13 5/16 x 10 x 10 1/4 in.). The Cleveland Museum of Art, Gift of J. H. Wade 1924.859 Learn more on The Cleveland Museum of Art's Collection Online: https://www.clevelandart.org/art/1924.859 Source: Objaverse 1.0 / Sketchfab
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.