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412 results for “September”
Exact structure match queries against BindingDB between September 2004 and August 2012
<p>Exact structure match queries against BindingDB between September 2004 and August 2012</p> <p>The queries were generated by users of the BindingDB web interface between September 2004 and mid-August of 2012. Structures were sketched using Marvin.</p> <p>If you use this data set, please cite:</p> <p> Liu T, Lin Y, Wen X, Jorissen RN, Gilson MK.<br> BindingDB: a web-accessible database of experimentally determined<br> protein-ligand binding affinities.<br> Nucleic Acids Res. 2007 Jan;35(Database issue):D198-201.<br> doi: 10.1093/nar/gkl999<br> Epub 2006 Dec 1<br> PMID: 17145705<br> PMCID: PMC1751547<br> https://doi.org/10.1093%2Fnar%2Fgkl999</p> <p>The included files are:</p> <p>README<br> ------</p> <p>A text file with more details about the data sets and their provenance.</p> <p>exact.dat.zstd<br> --------------</p> <p>The processed data set with 3,414,228 queries, one query per line. The file is compressed using Zstandard. The queries are a combination of CXSMILES, non-standard SMILES, and non-SMILES strings.</p> <p>BindingDB_exact.dat<br> -------------------</p> <p>A cleaned-up subset with 119,883 entries, one entry per line. Each entry has two columns, separated by a tab. The first column is the (possibly cleaned-up) CXSMILES from the source data, the second is the number of times the CXSMILES occurs in the source data. Each CXSMILES is present only once in the data set.</p> <p>NOTE: the CXSMILES have not be canonicalized. Canonicalization using RDKit 2021.09.4 results in 94,362 unique queries, but causes the extended CXSMILES annotations to disappear.</p> <p>bindingdb_cleanup.py<br> --------------------</p> <p>The Python program used to convert exact.dat.zstd to BindingDB_exact.dat.</p> <p>History<br> =======</p> <p>15 August 2012<br> --------------</p> <p>Contribution to the SQC.</p> <p>Tiqing Lui</p> <p>18 Aug 2012<br> -----------</p> <p>Initial import into the SQC</p> <p>Andrew Dalke</p> <p>28 Aug 2022<br> -----------</p> <p>Ported bindingdb_cleanup.py to Python 3.</p> <p>Added cleanup methods to add brackets to "(O-)", "C@@", "nH", and "NH" when appropriate.</p> <p>Simplified bindingdb_cleanup.py by dropping support for tools other than RKit.</p> <p>Updated for distribution on Zenodo.</p> <p>Andrew Dalke</p> <p> </p>
LPL17 - September 2022
<p>Measurements of LPL17 (Isla de Tabarca) in September 2022</p> <p>Alicante</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL17">info</a></p>
LPL14 - September 2022
<p>Measurements of LPL14 (Ilha das Flores) in September 2022</p> <p>Flores</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL14">info</a></p>
SG - September 2022
<p>Measurements of SG (Global) in September 2022</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
LPL5 - September 2022
<p>Measurements of LPL5 (Tejeda) in September 2022</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL4 - September 2022
<p>Measurements of LPL4 (Ilha do Corvo) in September 2022</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>
LPL8 - September 2022
<p>Measurements of LPL8 (Timanfaya NP) in September 2022</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL1 - September 2022
<p>Measurements of LPL1 (Teide NP) in September 2022</p> <p>Tenerife</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
Databases and information systems for research output: digital humanities outlook (DARIAH Bibliographical Data Working Group, September, 30th 2022)
<p>The video recording of the workshop "Databases and information systems for research output: digital humanities outlook" organized by DARIAH Bibliographical Data Working Group.</p>
Data for continuous and discrete measurements of carbonate parameters in a productive coastal region in the Northwestern Pacific (36°09'13.5''N, 129°24'04.9''E) from January to September in 2019 and from March to December in 2020
<p><span>Photosynthetic organisms shift the dynamics of surface pCO<sub>2</sub> driven by the sea surface temperature change (thermodynamic driver) by assimilating C from seawater. Here we measured net C uptake </span><span>in a macroalgal habitat</span> <span>of coastal Korea for two years (2019–2020) and found that the macroalgal habitat</span> <span>contributed </span><span>5.8 g</span><span> C m</span><sup><span>-</span><span>2</span></sup><span> month</span><sup><span>-</span><span>1</span></sup><span> of </span><span>the net C uptake during the growing period (the cooling period, September</span><span>-</span><span>May). This massive C uptake changed the thermodynamics-driven seasonal dynamics such that the air</span><span>-</span><span>sea equilibrium of </span><span>pCO<sub>2</sub></span><span> was pushed into disequilibrium. T</span><span>he </span><span>surface </span><span>pCO<sub>2</sub></span><span> dynamics during the cooling period were </span><span>mostly influenced by the seasonal decrease in temperature and the proliferation of macroalgae, while the dynamics </span><span>during the warming period </span><span>(the stagnant period, </span><span>June</span><span>-</span><span>August) </span><span>closely followed that predicted based solely on the change in sea surface temperature only </span><span>(thermodynamic driver)</span><span>.</span><span> In contrast to the phytoplankton-dominated offshore waters (where phytoplankton populations are large in spring and summer), the impact of coastal water macroalgae on surface </span><span>pCO<sub>2</sub></span><span> dynamics was most pronounced during the cooling period, when the magnitude of </span><span>pCO<sub>2</sub></span><span> change was as much as twice that resulting from temperature change. Our study shows that</span><span> t</span><span>he distinctive features of the macroalgal habitat—in particular the seasonal temperature extremes (~18°C difference), the </span><span>active macroalgal metabolism,</span><span> and anthropogenic </span><span>nutrient</span><span> inputs—collectively influenced</span><span> the seasonal decoupling of seawater and air </span><span>pCO<sub>2</sub></span><span> dynamics</span><span>.</span></p>
The database of housing cooperatives in Poland and the Czech Republic as of September 2023
<p>The database of housing cooperatives was prepared as part of the <a href="https://ibs.org.pl/en/research/enbloc-enabling-energy-transition-in-postsocialist-housing-cooperatives/">ENBLOC</a> project based on REGON and National Register Court data through the rejestr.io portal and the Czech Statistical Office. The database includes information about housing cooperatives’ names, locations, and size ranges as of September 2023. The data can serve as a valuable source of knowledge about housing cooperatives for housing researchers and cooperative members, banks, and other entities.</p>
Salinity, temperature and oxygen distribution at Bornholm (IDEAL), Gdansk (P1) and Gotland (BY15) Deeps from September 2020 to September 2023
<p><span>Salinity, temperature and oxygen distribution at Bornholm (IDEAL), Gdansk (P1) and Gotland (BY15) Deeps from September 2020 to September 2023. </span>Data were collected in-situ using a Sea-Bird Scientific SBE 911 Plus CTD profiler. <span>Data were collected within the SONATA BIS project nr UMO-2019/34/E/ST10/00217 called IDEAL funded by National Science Center (NCN).</span></p>
Full Data Set of 16814 tweets from 17 different Twitter accounts of Catalonian Public Servants and Delegates collected between August 19 2013 and September 17 2017 in both original language and translated into Spanish later codified under para-diplomacy or nation branding macro-categories. Includes results for each year.
<p>Full Data Set of 16814 tweets from 17 different Twitter accounts of Catalonian Public Servants and Delegates collected between August 19 2013 and September 17 2017 in both original language and translated into Spanish later codified under para-diplomacy or nation branding macro-categories. Includes results for each year out of a significant sample of 1638 tweets.</p>
Achille Mbembe keynote @ Strategic Narratives of Technology and Africa conference, September 2, 2017
<p>Achille Mbembe is a Research Professor in history and politics at the Wits Institute for Social and Economic Research (WISER), University of the Witwatersrand, Johannesburg, South Africa. He is the author of many books on history, politics and critical theory. His work has been translated in various languages, including English, German, Dutch, Spanish, Portuguese and Italian. His latest book, Politiques de l'inimitié, was published in 2016.</p> <p>Strategic Narratives of Technology and Africa was a conference hosted by the Critical Technical Practice laboratory at the <a href="http://www.m-iti.org">Madeira Interactive Technologies Institute</a> in Funchal, Portugal.</p> <p>"The conference brings scholars, technologists, and cultural producers together on the island of Madeira: a European territory off the coast of Africa, a historical site of mutual entanglement between the Atlantic continents, and a point of departure for European expansion. Here we’ll strategize ways to revisit, reframe, and recode the future of technology on and for both continents.</p> <p>What can African theorists, technologists, and cultural producers do to generate alternatives to the influx of neocolonial narratives of tech entrepreneurship? What are key epistemologies and ways of being which are endemic in Africa that should be offered to the world through new systems and processes? How can an African information economy avoid the dynamics of the resource curse, where connectivity is extractive and exercised upon African citizens rather than by and through them? What can Western technologists do differently, and what are the spaces for collaboration?</p> <p>This conference aims to reinvestigate these relationships and more in order to engender dialog between African and Western audiences and participants, who should leave Madeira equipped with new strategies and new collaborative partnerships."</p> <p> </p>
FeRh on I16 2019 September
<p>Datasets collected during beamtime MM21966-1 (I16)</p>
Commonfare videos on YouTube data (until September 30, 2019)
<p>Views of the PIE News project 16 videos in the "COMMONFARE videos" YouTube channel to September 30, 2019.</p>
TESS-SEPTEMBER-2019
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). September 2019</p>
Scanned Seismograms for September 1973 - Santiago, Chile seismic station
<p>Seismograms recorded by the SANTIAGO seismic station in September 1973.</p> <p>The sensor was a Teledyne Geotech S13 and the recorder a Geotech Helicorder RV01B.</p> <p>The scan was made thanks to the collaboration of the Servicio de Información y Bibliotecas (SISIB) of the Universidad de Chile.</p> <p> </p>
Hourly foF2 Data at Zhongshan Station for March, June, September, and December 2014
<p><span>This dataset contains hourly values of the critical frequency of the F2 layer (foF2), measured at Zhongshan Station, Antarctica, during the solar maximum year of 2014. The measurements cover four key months: March, June, September, and December.<br>The ionospheric data are obtained from long-term observations of the digisonde DPS-4 measurements at Zhongshan, Antarctica. The ionosondes provide ionograms via transmitting radio pulses with frequency coverage of 1.0–30 MHZ and receiving echoes reflected by various layers of the ionosphere. The ionospheric F-region critical frequencies (foF2) are calculated after processing ionograms. The time resolution of the ionosonde data used is 1 h.<br>The raw digisonde DPS-4 data at Zhongshan Station can be requested through the Data-sharing Platform of Polar Science (http://www.chinare.org.cn), which is maintained by the Polar Research Institute of China and the Chinese National Antarctic & Arctic Data Center.<br></span></p>
LPL12 - September 2024
<p>Measurements of LPL12 (Ilhas Desertas) in September 2024</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL12">info</a></p>
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)
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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.