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5,061 results for “access”
Biotea Linked Data for Open Access Full text PubMed Central
<p>this is the dataset from a-b</p>
Accessibility to surgery cares in France
<p>This dataset provides indicators on accessibility to hospitals with surgery cares for french communes. Data have been processed with R and travel time by car with an open source routing engine based on OpenStreetMap : <a href="https://project-osrm.org/">osrm.</a> </p> <p>Raw data are available under the raw folder of this archive and consolided indicators in the output folder. The methodological processing is described in a notebook, in French, available <a href="https://chir-access-methodo-rysebaert-4660a5a1ab53740375460e277db75966f.gitpages.huma-num.fr/">here</a> (and in the readme.html file of this repository). </p>
SMAdd-seq: Probing chromatin accessibility with small molecule DNA intercalation and nanopore sequencing
<p>Studies of in vivo chromatin organization have relied on the accessibility of the underlying DNA to nucleases or methyltransferases, which is limited by their requirement for purified nuclei and enzymatic treatment. Here, we introduce a nanopore-based sequencing technique called Small-Molecule Adduct sequencing (SMAdd-seq), where we profile chromatin accessibility by treating nuclei or intact cells with a small molecule, angelicin. Angelicin reacts with thymine bases in linker DNA not bound to core nucleosomes after UV light exposure, thereby labeling accessible DNA regions. By applying SMAdd-seq in Saccharomyces cerevisiae, we demonstrate that angelicin-modified DNA can be detected by its distinct nanopore current signals. To systematically identify angelicin modifications and analyze chromatin structure, we developed a neural network model, NEural network for mapping MOdifications in nanopore long-reads (NEMO). NEMO accurately called expected nucleosome occupancy patterns near transcription start sites at both bulk and single-molecule levels. We observe heterogeneity in chromatin structure and identify clusters of single-molecule reads with varying configurations at specific yeast loci. Furthermore, SMAdd-seq performs equivalently on purified yeast nuclei and intact cells, indicating the promise of this method for in vivo chromatin labeling on long single molecules to measure native chromatin dynamics and heterogeneity.</p>
IAM_COMPACT_Open_access_models_for_case_study_countries_datasets
<p>This dataset contains the excel files with all required input data to run OSeMOSYS model for Ukraine, CLEWs model for Kenya, Sri Lanka, and Ethiopia, and OnSSET model model for Ethiopia. Model factsheets, their scope and structure as well as preliminary results are documented in <em>D6.7 - Open-access models for case-study countries</em> (<a href="../doi/10.5281/zenodo.13643021">link</a>). The dataset also features zip files that can be run following the instructions on the report for each model. </p> <p>The preliminary versions of each model were created as part of the capacity development activities of <a href="https://iam-compact.eu/">IAM COMPACT</a> Horizon Europe project. </p> <p>The update of models is documented in <em>D6.8 - Open-access models for case-study countries - Update</em> and is supplemented by Version 2 of this dataset.</p>
Oscillatory dynamics of mRNA metabolism and chromatin accessibility in mESCs during the cell cycle
<p>Processed single-cell RNAseq and multiome sequencing--single-nucleus RNAseq and ATACseq for mESCs</p> <table> <tbody> <tr> <td><strong>Filename</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>scrna_deepdycle.h5ad</td> <td>single-cell RNAseq data, has information about unsplcied and spliced levels and the inferred cell cycle phase</td> </tr> <tr> <td>snrna_deepdycle_rep1.h5ad</td> <td>single-nulceus RNAseq data (replicate 1), has information about unsplcied and spliced levels and the inferred cell cycle phase</td> </tr> <tr> <td>snrna_deepdycle_rep2.h5ad</td> <td>single-nulceus RNAseq data (replicate 2), has information about unsplcied and spliced levels and the inferred cell cycle phase</td> </tr> <tr> <td>body_coverage_lif1.tsv.gz</td> <td>single nucleus ATACseq data (replicate 1), counts table of ATACseq peaks mapped to the genes</td> </tr> <tr> <td>body_coverage_lif2.tsv.gz</td> <td>single nucleus ATACseq data (replicate 2), counts table of ATACseq peaks mapped to the genes</td> </tr> <tr> <td>model_predictions.zip</td> <td>gene-wise predictions for gene expression--unspliced and spliced, and mRNA metabolism rates--synthesis, splicing, export, and degradation rates for single-cell and single-nucleus data</td> </tr> </tbody> </table>
Interviews on Current Practices for Describing and Providing Access to UK Public Sector Web Archives
<p>This dataset contains qualitative interview data which investigated current practice for describing and providing access to UK Public Sector Web Archives. Participants included staff responsible for the management and curation of the following web archives:</p><ul><li>UK Web Archive (four of the six Legal Deposit libraries: the British Library, Bodleian Libraries, Cambridge University Library, and the National Library of Scotland)</li><li>UK Government Web Archive (The National Archives)</li><li>UK Parliament Web Archive (Parliamentary Archives)</li><li>NRS Web Archive (National Records of Scotland) and</li><li>PRONI Web Archive (Public Record Office Northern Ireland).</li></ul><p>Available to the public are the University of Dundee (UoD) ethics application for this study, including the research data management plan and information provided to organisations before participating in the study. The report of interview codes and code groups (the 'Codebook') demonstrates the connections made across responses. This is supplemented by a redacted report of quotations by code, organised by code group and document.</p><p>This qualitative interview data, and subsequent analysis, forms the basis of the Masters thesis 'Web Archives for All? Towards Equitable Access to UK Public Sector Web Archives' submitted as part of the MLitt Archives and Records Management at the University of Dundee. </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>
ICT Use and access by individuals and households for Malaysia and Montenegro
<p>Statistics on the use and access of ICT by individuals and households. Statistics published in this report are based on the concepts and guidelines from the Manual for Measuring ICT Access and Use by Households and Individuals, 2020 Edition published by the International Telecommunication Union (ITU). For Malaysia it is published by the Department of Statistics of Malaysia (DOSM). (as attached in email)<br><br>Whereas for Montenegro, the data set is published by Montenegro Statistical Office (Monstat). https://www.monstat.org/eng/page.php?id=1666&pageid=1663<br> </p>
ICT USE AND ACCESS BY INDIVIDUALS AND HOUSEHOLDS SURVEY REPORT
<p>The dataset includes measurements related to median household gross income (MHGI), Internet penetration rates for mobile broadband (IPRMB) and fixed broadband (IPRFB), the use of mobile phones (IUMP) and computers (IUC) by individuals, and ICT skills in the context of e-learning, particularly for users enrolled in formal online courses. These data have been extracted from reports by the Department of Statistics Malaysia and the Ministry of Communication and Digital (KKD) on Internet Penetration</p>
Appendix A - The Implications of Handwritten Text Recognition for Accessing the Past at Scale
<p>List of works identified through a Grounded Theory Method (GTM) of the current and near future implications of Handwritten Text Recognition (HTR) on the historical method and wider information environment. The findings of this data collection are provided in 'The Implications of Handwritten Text Recognition for Accessing the Past at Scale'</p>
Human access constrains optimal foraging and habitat availability in an avian generalist
<p>Animals balance costs of anti-predator behaviors with resource acquisition to minimize hunting and other mortality risks and maximize their physiological condition. This inherent trade-off between forage abundance and quality, and mortality risk is intensified in human-dominated landscapes because fragmentation, habitat loss, and degradation of natural vegetation communities is often coupled with artificially-enhanced vegetation (i.e., food plots) creating high-risk high-reward resource selection decisions. Our goal was to evaluate autumn–winter resource selection trade-offs for an intensively hunted avian generalist. We hypothesized human access was a reliable cue for hunting predation risk and thus predicted resource selection patterns would be spatiotemporally dependent upon levels of access and their perceived risk. Specifically, we evaluated resource selection of local-scale flights between diel periods of 426 mallards (<em>Anas</em> <em>platyrhynchos</em>) relative to wetland type, forage quality, and differing levels of human access across hunting and non-hunting seasons. Mallards selected areas that prohibited human access and generally avoided areas that allowed access diurnally, especially during hunting season. Mallards compensated by selecting for high-energy and greater quality foraging patches on allowable human access areas nocturnally when they were devoid of hunters. Post-season selection across human access gradients did not return to pre-hunting levels immediately, perhaps suggesting a delayed response to reacclimate to non-hunted activities and thus agreeing with the assessment mismatch hypothesis. Last, wetland availability and human access constrained selection for optimal natural forage quality (i.e., seed biomass and forage productivity) diurnally during pre-season and hunting season, respectively; however, mallards were freed from these constraints nocturnally during hunting season and during post-season. Our results suggest risk-avoidance of human accessible (i.e., hunted) areas is a primary driver of resource selection behaviors by mallards and could be a local to landscape-level process influencing distributions, instead of forage abundance and quality, which has long-been assumed by waterfowl conservation planners in North America. Broadly, even an avian generalist, well-adapted to anthropogenic landscapes, avoids areas where hunting and human access is allowed. Future conservation planning and implementation must consider management for recreational access (i.e., people) equally important as foraging habitat management for wintering waterfowl.</p>
Data for: Information accessibility, accounting manipulation, and sustainable development of digital enterprises: Based on double moderating effect model and panel PSM-DID method
<p>A theoretical mechanism was analyzed from the micro perspective of the enterprise to explore how information accessibility moderates the effect of accounting manipulation on the sustainable development of digital enterprises. Using data from 1200 listing digital enterprises in China and the DEA-Malmquist index method, the efficiency value of digital enterprises in 2007–2021 was estimated to represent the index of sustainable development of digital enterprises. The accounting manipulation was detected using the panel PSM-DID method based on the Administrative Measures for the Recognition of High-tech Enterprise's policy. The information accessibility value was estimated based on the MDA method. Empirical studies were conducted using text analysis, the panel PSM-DID method, and the double moderating effect model. The results showed that: (1) Accounting manipulation had a negative impact on the sustainable development of "true" digital enterprises and the "fake" digital enterprises; (2) Information accessibility directly and positively enhanced the technological progress and scale efficiency of digital enterprises, and its moderating effect was heterogeneous, with a significant moderating effect on the "true" digital enterprises and a negative effect on the "fake" ones.</p>
IMAU-FDMv1.2AD total FAC and accessible FAC (1950-2100)
<p>This dataset contains total firn air content and accessible firn air content output from IMAU-FDM v1.2AD for Antarctica on a 27x27 km grid. The dataset is a time series of average annual values and covers the period 1950-2100 under climate change scenarios SSP126, SSP245 and SSP585 from CESM2 dynamically downscaled by RACMO2.3p2. These data are used in a manuscript to be submitted to <strong><em>The Cryosphere</em></strong>.</p>
Graded Incremental Test Data (Cycling, Running, Kayaking, Rowing): an open access dataset
<p><strong>Section 1: Introduction</strong></p> <p> </p> <p>Brief overview of dataset contents:</p> <ul> <li>Current database contains anonymised data collected during exercise testing services performed on male and female participants (cycling, rowing, kayaking and running) provided by the Human Performance Laboratory, School of Medicine, Trinity College Dublin, Dublin 2, Ireland. </li> <li>835 graded incremental exercise test files (285 cycling, 266 rowing / kayaking, 284 running)</li> <li>Description file with each row representing a test file - COLUMNS: file name (AXXX), sport (cycling, running, rowing or kayaking)</li> <li>Anthropometric data of participants by sport (age, gender, height, body mass, BMI, skinfold thickness,% body fat, lean body mass and haematological data; namely, haemoglobin concentration (Hb), haematocrit (Hct), red blood cell (RBC) count and white blood cell (WBC) count )</li> <li>Test data (HR, VO<sub>2</sub> and lactate data) at rest and across a range of exercise intensities</li> <li>Derived physiological indices quantifying each individual’s endurance profile</li> </ul> <p> </p> <p>Following a request from athletes seeking assessment by phone or e-mail the test protocol, risks, benefits and test and medical requirements, were explained verbally or by return e-mail. Subsequently, an appointment for an exercise assessment was arranged following the regulatory reflection period (7 days). Following this regulatory period each participant’s verbal consent was obtained pre-test, for participants under 18 years of age parent / guardian consent was obtained in writing. Ethics approval was obtained from the Faculty of Health Sciences ethics committee and all testing procedures were performed in compliance with Declaration of Helsinki guidelines.</p> <p> </p> <p>All consenting participants were required to attend the laboratory on one occasion in a rested, carbohydrate loaded and well-hydrated state, and for male participants’ clean shaven in the facial region. All participants underwent a pre-test medical examination, including assessment of resting blood pressure, pulmonary function testing and haematological (Coulter Counter Act Diff, Beckmann Coulter, CA,US) review performed by a qualified medical doctor prior to exercise testing. Any person presenting with any cardiac abnormalities, respiratory difficulties, symptoms of cold or influenza, musculoskeletal injury that could impair performance, diabetes, hypertension, metabolic disorders, or any other contra-indicatory symptoms were excluded. In addition, participants completed a medical questionnaire detailing training history, previous personal and family health abnormalities, recent illness or injury, menstrual status for female participants, as well as details of recent travel and current vaccination status, and current medications, supplements and allergies. Barefoot height in metre (Holtain, Crymych, UK), body mass (counter balanced scales) in kilogram (Seca, Hamburg, Germany) and skinfold thickness in millimetre using a Harpenden skinfold caliper (Bath International, West Sussex, UK) were recorded pre-exercise.</p> <p> </p> <p><strong>Section 2: Testing protocols </strong></p> <p> </p> <p><strong>2.1: Cycling</strong></p> <p> </p> <p>A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on an electromagnetically braked cycle ergometer (Lode Excalibur Sport, Groningen, The Netherlands). Participants initially identified a cycling position in which they were most comfortable by adjusting saddle height, saddle fore-aft position relative to the crank axis, saddle to handlebar distance and handlebar height. Participant’s feet were secured to the ergometer using their own cycling shoes with cleats and accompanying pedals. The protocol commenced with a 15-min warm-up at a workload of 120 Watt (W), followed by a 10-min rest. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a workload of 100 or 120 W for female and male participants, respectively, and subsequently increasing by a 20, 30 or 40 W incremental increase every 3-min depending on gender and current competition category. During assessment participants maintained a constant self-selected cadence chosen during their warm-up (permitted window was 5 rev.min<sup>−1 </sup>within a permitted absolute range of 75 to 95 rev.min<sup>−1</sup>) and the test was terminated when a participant was no longer able to maintain a constant cadence.</p> <p> </p> <p>Heart rate (HR) data were recorded continuously by radio-telemetry using a Cosmed HR monitor (Cosmed, Rome, Italy). During the test, blood samples were collected from the middle finger of the right hand at the end of the second minute of each 3-min interval. The fingertip was cleaned to remove any sweat or blood and lanced using a long point sterile lancet (Braun, Melsungen, Germany). The blood sample was collected into a heparinised capillary tube (Brand, Wertheim, Germany) by holding the tube horizontal to the droplet and allowing transfer by capillary action. Subsequently, a 25μL aliquot of whole blood was drawn from the capillary tube using a YSI syringepet (YSI, OH, USA) and added into the chamber of a YSI 1500 Sport lactate analyser<strong> </strong>(YSI, OH, USA) for determination of non-lysed [Lac] in mmol.L<sup>−1</sup>. The lactate analyser was calibrated to the manufacturer’s requirements (± 0.05 mmol.L<sup>−1</sup>) before each test using a standard solution (YSI, OH, USA) of known concentration (5 mmol.L<sup>−1</sup>) and analyser linearity was confirmed using either a 15 or 30 mmol.L<sup>-1</sup> standard solution (YSI, OH, USA).</p> <p> </p> <p>Gas exchange variables including respiration rate (Rf in breaths.min<sup>-1</sup>), minute ventilation (VE in L.min<sup>-1</sup>), oxygen consumption (VO<sub>2 </sub>in L.min<sup>-1</sup> and in mL.kg<sup>-1</sup>.min<sup>-1</sup>) and carbon dioxide production (VCO<sub>2 </sub>in L.min<sup>-1</sup>), were measured on a breath-by-breath basis throughout the test, using a cardiopulmonary exercise testing unit (CPET) and an associated software package (Cosmed<strong>,</strong> Rome, Italy). Participants wore a face mask (Hans Rudolf, KA, USA) which was connected to the CPET unit. The metabolic unit was calibrated prior to each test using ambient air and an alpha certified gas mixture containing 16% O<sub>2</sub>, 5% CO<sub>2</sub> and 79% N<sub>2</sub> (Cosmed, Rome, Italy). Volume calibration was performed using a 3L gas calibration syringe (Cosmed, Rome, Italy). Barometric pressure recorded by the CPET was confirmed by recording barometric pressure using a laboratory grade barometer.</p> <p> </p> <p>Following testing mean HR and mean VO<sub>2</sub> data at rest and during each exercise increment were computed and tabulated over the final minute of each 3-min interval. A graphical plot of [Lac], mean VO<sub>2</sub> and mean HR versus cycling workload was constructed and analysed to quantify physiological endurance indices, see Data Analysis section. Data for VO<sub>2</sub> peak in L.min<sup>-1</sup> (absolute) and in mL.kg<sup>-1</sup>.min<sup>-1</sup> (relative) and VE peak in L.min<sup>-1</sup> were reported as the peak data recorded over any 10 consecutive breaths recorded during the last minute of the final exercise increment.</p> <p> </p> <p><strong>2.2: Running protocol</strong></p> <p> </p> <p>A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a motorised treadmill (Powerjog, Birmingham, UK). The running protocol, performed at a gradient of 0%, commenced with a 15-min warm-up at a velocity (km.h<sup>-1</sup>) which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity. Subsequently, the warm-up was followed by a 10 minute rest / dynamic stretching phase. From a safety perspective during all running GxT participants wore a suspended lightweight safety harness to minimise any potential falls risk. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal running velocity which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity, and subsequently increased by ≥ 1 km.h<sup>-1</sup> every 3-min depending on gender and current competition category. The test was terminated when a participant was no longer able to maintain the imposed treadmill.</p> <p> </p> <p>Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.</p> <p> </p> <p><strong>2.3: Rowing / kayaking protocol</strong></p> <p> </p> <p>A discontinuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a Concept 2C rowing ergometer (Concept, VA, US) in rowers or a Dansprint kayak ergometer (Dansprint, Hvidovre, Denmark) in flat-water kayakers. The protocol commenced with a 15-min low-intensity warm-up at a workload (W) dependent on gender, sport and competition category, followed by a 10-min rest. For rowing the flywheel damping (120, 125 or 130W) was set dependent on gender and competition category. For kayaking the bungee cord tension was adjusted by individual participants to suit their requirements. A discontinuous protocol of 3-min exercise at a targeted load followed by a 1-min rest phase to facilitate stationary earlobe capillary blood sample collection and resetting of ergometer display (Dansprint ergometer) was used. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal load 80 to 120 W for rowing, 50 to 90 W for kayaking and subsequently increased by 20,30 or 40 W every 3-min depending on gender, sport and current competition category. The test was terminated when a participant was no longer able to maintain the targeted workload. </p> <p>Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.</p> <p> </p> <p><strong>3.1: Data analysis</strong></p> <p> </p> <p>Constructed graphical plots (HR, VO<sub>2</sub> and [Lac] versus load / velocity) were analysed to quantify the following; load / velocity at T<sub>Lac</sub>, HR at T<sub>Lac</sub>, [Lac] at T<sub>Lac</sub>, % of VO<sub>2</sub> peak at T<sub>Lac</sub>, % of HRmax at T<sub>Lac</sub>, load / velocity and HR at a nominal [Lac] of 2 mmol.L<sup>-1</sup>, load / velocity, VO<sub>2</sub> and [Lac} at a nominal HR of 160 beats.min<sup>-1</sup>. Load at T<sub>Lac</sub> was determined using segmental regression analysis. Two linear segments were plotted that minimised the squared sum of the residuals between the plotted points and best fit lines. The intersection of these the two linear segments was defined as the relevant breakpoint or threshold, (Raleigh <em>et al. </em>2018<em>. Int J Exerc Sci</em>, <strong>11</strong>, 391-403.</p> <p> </p> <p><strong>4.1: Terms of Use</strong></p> <p> </p> <p>The attached database is provided as a research or educational asset / tool for coach, athlete and exercise science / exercise medicine education and usage only.</p>
Lateral Root Development in Two Tomato Accessions under Salt Stress
<p>The images of growing tomato seedlings were collected using SPIRO setup by Maryam Rahmati-Ishka every 30 minutes. However, as our automated script did not work for quantifying the lateral roots, Magda Julkowska traced the roots manually - for images collected every 60 minutes. </p> <p>The data was collected over 4 experiments, for two tomato genotypes: M248 - S. pimpinellifolium - wild tomato - salt tolerant - maintains the LR emergence under salt stress; and LA1511 - S. lycopersicum - cultivated tomato - salt tolerant - maintains the LR elongation under salt stress. </p>
GISAID Accession IDs
<p>The file contains the GISAID accession IDs used in analysis in manuscript </p> <p>Goliaei, Sama, et al. "Importations of SARS-CoV-2 lineages decline after nonpharmaceutical interventions in phylogeographic analyses." <em>medRxiv</em> (2023): 2023-11.</p>
The Pontifical Bolivarian University and 2030 Agenda: Scientific production, access modalities, and social media impact.
<p><span>The 2030 Agenda and SDGs promote global resilience. Universities play a crucial role in their implementation through research and education. Recent studies analyze SDG-related scientific production, but evaluating the accessibility and social impacts of these results remains lacking. The article aims to analyze the intersection between SDGs, open access, and social impact of science, based on an analysis of PBU academic production in Colombia. A mixed-method approach is employed, combining quantitative and qualitative elements with scientometric techniques and data mining analysis, as well as big data from the perspective of Social Sciences. PBU scientific production analysis reveals increased research activity, with most publications available in open access. Thematic focuses such as health, sustainable development, and energy are highlighted. Thematic diversity reflects a multidisciplinary approach, but there is low production in key areas of sustainable development. Social media attention highlights topics like health, equality, and energy. Open access shows a strong correlation with online attention, emphasizing its importance in amplifying research impact. Although closed research also receives online attention, especially from academics. Greater focus is needed on inclusive publishing strategies and social media dissemination to address global challenges.</span></p>
SFC-A68: A dataset for benchmarking space function and space access element classification methods in entire floors of multi-unit apartment buildings
<p> </p> <p><strong>SFC-A68</strong>: "A dataset for benchmarking space function and space access element classification methods in entire floors of multi-unit apartment buildings"</p> <p><strong>Authors:</strong> "Amir Ziaee, Georg Suter, Laura Keiblinger"</p> <p><strong>Copyright:</strong> "Design Computing Group TU Wien, 2024"</p> <p><strong>Credits:</strong> "Design Computing Group TU Wien"</p> <p><strong>License:</strong> "GNU GENERAL PUBLIC LICENSE Version 3"</p> <p><strong>Version:</strong> "1.0.2"</p> <p><strong>Maintainer:</strong> "Amir Ziaee"</p> <p><strong>Email:</strong> "amir.ziaee@tuwien.ac.at"</p> <p><strong>Acknowledgments:</strong> "The authors gratefully acknowledge support by Grant Austrian Science Fund (FWF): I 5171-N, Laura Keiblinger, and participants in course '259.428-2021S Architectural Morphology' at TU Wien for data collection. "</p> <p><strong>Description:</strong> "The analysis of building models for usable area, building safety, and energy efficiency requires accurate classification data of spaces and related space elements such as doors. To reduce input model preparation effort and errors, automated classification of spaces and related space elements is desirable. We introduce the SFC-A68 dataset, which models entire floors of 275 multi-unit apartment buildings in 13 countries. The SFC-A68 consists of three data representation formats: tabular, graph, and multi-view image datasets that are derived from the same source data. It covere 22 space function and six space access element classes."</p> <p> </p> <p> </p> <p> </p>
Open-SEA-Rice-10: Open Access High-Resolution Maps of Rice Harvested Area and Cropping Intensity in Southeast Asia
<h2>Cite this article</h2> <p>Ginting, F.I., Rudiyanto, R., Fatchurrachman, F., Mohd Shah, R., Che Soh, N., Goh Eng Giap, S., Fiantis, D., Setiawan, B.I., Schiller, S., Davitt, A., Minasny, B. High-resolution maps of rice cropping intensity across Southeast Asia. Scientific Data [12, 1408] (2025). <a href="https://www.nature.com/articles/s41597-025-05722-1">https://doi.org/10.1038/s41597-025-05722-1</a></p> <p> </p> <h2>Data Description</h2> <p>The datasets are high-resolution mapping of rice cropping intensity across Southeast Asia using the integration of Sentinel-1 and Sentinel-2 data</p> <ul> <li>The data file is in “.tif" format</li> <li>Spatial extent: Southeast Asia</li> <li>Pixel size: 10 m</li> <li>Projection information: EPSG: 4326</li> <li>CropType: Paddy rice.</li> <li>Year: Values from 2021</li> <li>Raster class:<br>-1 is single rice cropping area; <br>-2 is double rice cropping area and<br>-3 is triple rice cropping area</li> <li>The data also can be viewed on the GEE App (<a href="https://ee-rudiyanto.projects.earthengine.app/view/open-sea-rice-10">https://ee-rudiyanto.projects.earthengine.app/view/open-sea-rice-10</a>) and the Climate TRACE platform (<a href="https://climatetrace.org/">https://climatetrace.org/</a>) </li> <li>Correspondence to: Rudiyanto (rudiyanto@umt.edu.my) and Budiman Minasny (budiman.minasny@sydney.edu.au)</li> </ul> <p> </p> <p> </p>
Assessing Grid Affordability for Universal Electricity Access in Sub-Saharan Africa
<p>This repository contains all the necessary original data for the publication <em>"Assessing Grid Affordability for Universal Electricity Access in Sub-Saharan Africa."</em> It includes the original documents detailing the tariff structures of 48 SSA countries, as well as population data, the Gini index, and gross national income per capita, which are used to simulate income distribution. Additionally, it provides calculator tools for estimating electricity bills based on the Multi-Tier Framework and assessing grid electricity affordability by comparing simulated income with electricity costs.</p> <p>The related code and result datasets supporting this publication are available through the GitHub public repository: <a href="https://rb.gy/f68tx5" target="_new" rel="noopener">https://rb.gy/f68tx5</a>.</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.