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3,101 results for “tables”
Data Extraction table summarizing studies in the scoping review on co-creation of patient education materials
<p>Data extraction table for scoping review on best practices for co-creating patient-facing educational materials</p>
Tables of verbal derivatives in -š- in the Saami languages
<p>The tables present the occurrence of verbs with a suffixal <em>-š- (-šš-)</em> by tabulating the attested derivatives across the Saami languages. Base words are given in their North Saami form by default, including approximate meanings in Finnish or the language used in sources in question. The corresponding entry number of Eliel Lagercranz's Lappischer Wortschatz (1939) is also given when applicable. For more information about sources etc., see the paper to which this is an appendix:</p> <p>Kuokkala, Juha & Koponen, Eino. 2023. On the distribution and history of Saami verbal derivatives in <em>-š-</em>. <em>Journal of Estonian and Finno-Ugric Linguistics </em>14(3). 73–105. <a href="https://doi.org/10.12697/jeful.2023.14.3.03">https://doi.org/10.12697/jeful.2023.14.3.03</a></p>
CoBaHMA domains: supplementary Table and Data
<p>Supplementary Table and Supplementary Data 1 to 4 to the article "<strong>AlphaFold2-guided description of CoBaHMA, a novel family of bacterial domains within the Heavy-Metal Associated superfamily"</strong></p> <p> </p> <p><strong>Supplementary Table 1 </strong>(.xlsx file):</p> <ol> <li><strong>Structural and functional annotations of the large communities of CobaHMA domain proteins.</strong> The number of community sequences matching a given profile (IPR or ECOD) is indicated. The color code corresponds to the following functional categories. For each IPR accession, the type of profile is indicated between brackets (D for domain, F for family, H for superfamily).</li> <li><strong>Structural and functional annotations of small communities.</strong> Only the 20 small communities with at least one new annotation (e.g. not shared with the large communities, in grey and black) are detailed here. For these 20 communities, some annotations are shared with the large communities, corresponding only to P-type (cyan) and HMA (yellow). For a complete view of the annotations of the small communties, see <strong>Supplementary Figure 5</strong>. The number of community sequences matching a given profile (IPR or ECOD) is indicated. For each IPR accession, the type of profile is indicated between brackets (D for domain, F for family, H for superfamily).</li> </ol> <p> </p> <p><strong>Supplementary Data 1 </strong>(.zip file):</p> <p>Multiple sequence alignments (MSA) of the sequences of the most populated communities, build using MAFFT and rendered using EspPript3. The first two lines report the 2D structures of the AF2 model of the representative sequence of the community, and its amino acid sequence. The initial MSA (fasta format) is also provided, together with the coordinates of the 3D structure model (pdb format) and the HCA plot (postcript file) of the representative sequence of the considered community.</p> <p> </p> <p><strong>Supplementary Data 2 </strong>(.zip file):</p> <p>Annotations by communities: Modular organization of the full-length CoBaHMA domain proteins within the 48 large community (Functional annotations are indicated along the sequence by shaded areas. Each functional category of domain is highlighted by the following color code: CoBaHMA (green), HMA_2 (lime), HMA (yellow), P-type (cyan) and Serca (darkblue), ABC (orange), Calcyanin Gly-Zip (red), PAP2 (magenta). Membrane regions as identified by deepTMHMM are indicated by gray areas.</p> <p> </p> <p><strong>Supplementary Data 3 </strong>(.tsv file)</p> <p>Main features of communities (e.g. representative sequence, community size, mean amino acid length, annotations, …).</p> <p> </p> <p><strong>Supplementary Data 4 </strong>(.tsv file)</p> <p>Mean features of sequences possessing CoBaHMA domain(s).</p>
Bibliographic data for the systematic review on tilting table tests of masonry assemblies
<p>This database contains all the bibliographic information about the records found after applying the Search Strategy used for the Systematic Review on Tilting Table Tests of Masonry Assemblies. The search was conducted in Scopus, Web of Science, IEEE Explore, Engineering Village, and Wiley Online Library databases. It was performed on 13/09/2023. The bibliographic data of the records found in the different databases is presented in .ris, .bib, and .csv format.</p>
TempTabQA: Temporal Question Answering for Semi-Structured Tables
<p>This repository contains resources, namely <strong>TempTabQA</strong>, developed for the paper: Gupta, V., Kandoi, P., Vora, M., Zhang, S., He, Y., Reinanda R., Srikumar V., <i>TempTabQA: Temporal Question Answering for Semi-Structured Tables</i>. In: Proceeding of the The 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023.</p><p><strong>TempTabQA</strong> is a dataset which comprises 11,454 question-answer pairs extracted from Wikipedia Infobox tables. These question-answer pairs are annotated by human annotators. We provide two test sets instead of one: the <strong>Head</strong> set with popular frequent domains, and the <strong>Tail</strong> set with rarer domains. </p><p>Files to access the annotation follow the below structure:</p><p>Maindata</p><ul><li>qapairs: split into train, dev, head, and tail sets, in both csv and json formats</li><li>Tables: Wikipedia category and tables metadata in csv, json and html formats</li></ul><p>Carefully read the ```LICENCE``` for non-academic usage.</p><p><i>Note : Wherever required consider the year of 2022 as the build date for the dataset.</i></p><p> </p><p> </p><p> </p>
Annotated Web Tables
<p>Data sets used for experimental evaluation in the related publication:</p> <p><em>Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings<br> International Semantic Web Conference (1) 2017: 260-277</em><br> <em>Vasilis Efthymiou Oktie Hassanzadeh Mariano Rodríguez-Muro Vassilis Christophides</em></p> <p>The gold standard data sets are collections of web tables:</p> <p><strong>T2D</strong> (<strong>v1</strong>) consists of a schema-level gold standard of 1,748 Web tables, manually annotated with class- and property-mappings, as well as an entity-level gold standard of 233 Web tables.</p> <p><strong>Limaye</strong> consists of 400 manually annotated Web tables with entity-, class-, and property-level correspondences, where single cells (not rows) are mapped to entities. The corrected version of this gold standard is adapted to annotate rows with entities, from the annotations of the label column cells.</p> <p><strong>WikipediaGS </strong>is an instance-level gold standard developed from 485K Wikipedia tables, in which links in the label column are used to infer the annotation of a row to a DBpedia entity.</p> <p> </p> <p>Note on license: please refer to the README.txt. Data is derived from Wikipedia and other sources may have different licenses.</p> <p>Wikipedia contents can be shared under the terms of Creative Commons Attribution-ShareAlike License<br> as outlined on Wikipedia: <a href="https://en.wikipedia.org/wiki/Wikipedia:Reusing_Wikipedia_content">https://en.wikipedia.org/wiki/Wikipedia:Reusing_Wikipedia_content</a></p> <p>The correspondences of the T2D Gold standard is provided under the terms of the Apache license. The Web tables are provided according the same terms of use, disclaimer of warranties and limitation of liabilities that apply to the Common Crawl corpus. The DBpedia subset is licensed under the terms of the Creative Commons Attribution-ShareAlike License and the GNU Free Documentation License that applies to DBpedia.<br> Limaye gold standard is downloaded from: <a href="http://websail-fe.cs.northwestern.edu/TabEL/">http://websail-fe.cs.northwestern.edu/TabEL/</a> (download date: August 25, 2016). Please refer to the original website and the following paper for more details and citation information:<br> G. Limaye, S. Sarawagi, and S. Chakrabarti. Annotating and Searching Web Tables Using Entities, Types and Relationships. PVLDB, 3(1):1338–1347, 2010.</p> <p>THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
Debris Flow Carbon Mobilization Table
This file contains the Tongass National Forest Landslide Inventory ID, planimetric area, aboveground carbon amount, and soil carbon amount mobilized by each landslide. Carbon amounts were determined using two aboveground carbon models and a soil carbon model, available at (https://databasin.org/people/brianbuma/). These values were used to estimate the amount of carbon mobilized by debris flow type landslides in SE Alaska, within the Tongass National Forest.
Water table level data from APEX Fen plots, 2005-2006
Water table level data from a soil climate manipulation experiment in an Alaskan rich fen (APEX). APEX Fen is located in the Bonanza Creek LTER outside of Fairbanks, AK. APEX Fen uses a full-factorial water table (flooded or raised- APEXele, lowered or drained- APEXlow, and control treatments- APEXcon, as well as a moisture gradient) by warming manipulation (warmed, unwarmed treatment). Automated water table measurements were collected in each plot using a pressure transducer and a datalogger.
Alaska Peatland Experiment: Biweekly flux data and environmental measurements (soil temperature, soil moisture, seasonal thaw depth, water table depth)
This dataset contains ecosystem respiration data measured biweekly at the Alaska Peatland Experiment (APEX) gradient plots. Five plots encompass the gradient all changing in dominant vegetation type. Plot labels are as follows: BS (Black Spruce), WB (Shrub), TG (Grass), EC (Sedge/forb), Control (Rich fen). Data set also includes environmental data (soil temperature, soil moisture, seasonal thaw depth, water table depth) taken at the same time as each flux.
Yukon River Basin Fire and Permafrost Study: Elevation of soil surface and permafrost table along transects with different fire disturbance regimes (2009-2012)
Two 100 - 200 m transects were established on hilly loess deposits in the Yukon Flats near Boot Lake to monitor annual changes in the permafrost table and thaw settlement under different fire disturbance regimes. One was located in an area that burned around 1925; the other transect was located in a 2009 burn. Both transects were partially affected by a fire in 1967. This dataset includes the elevations of the ground surface, permafrost surface, water table, and surface organic thickness measurements. Note that there was compaction of the organic layer due to human disturbance along the portion of the transect that burned in only 1925. These transects are associated with the burned and unburned silty upland sites detailed in related datasets.
Marsh water table height, logging data from the Railroad site on the Parker River for July-November 2004.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for July-November 2004.
Marsh water table height, logging data from the Railroad site on the Parker River for April-December 2006.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for April - December 2006.
Marsh water table height, logging data from the Typha site on the upper Parker River for June-November 2004
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for June - November 2004.
Marsh water table height, logging data from the Typha site on the upper Parker River for April-December 2006.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - December 2006.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for April-November 2007.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - November 2007.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for April-December 2007.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR, for April - December 2007.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for April-October 2008.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - October 2008.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for September-November 2011.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for September - November 2011.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for March-September 2011.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for March - September 2011.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for October-December 2008.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for October-December 2008.
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.