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354 results for “data access”
Data for: Urban form and its impacts on air pollution and access to green space: A global analysis of 462 cities
Open the record for dataset details and reuse information.
Fig. 1 in Data publication and dissemination of interactive keys under the open access model
Fig. 1. Th e ZooKeys model for data publication and dissemination of interactive keys.
Data of "A network-ready random-access qubits memory"
<p>Data published in "<em>A network-ready random-access qubits memory</em>"</p> <p><em>npj Quantum Information</em></p>
Data for Predictors of young people's access to and utilization of sexual and reproductive health services (SRHS) in Enugu State, Nigeria
<p>Data of a manuscript titled "Predictors of young people’s use of sexual and reproductive health services in Nigeria: a mixed-method approach" submitted to BMC Public Health</p>
RNA Ensembles From Solvent Accessibility Data: Application to the SAM-I Riboswitch Aptamer Domain
<p>SASA-derived ensembles of the -SAM and +SAM states of the SAM-responsive riboswitch.</p>
Samples and data accessibility in research biobanks
<p>This dataset contains answers at a questionnaire relative to modes of sample and data accessibility in research Biobanks</p>
COINatlantic Data Accessibility Organisational Self Assessment Tool: CODATA Webinar
<p>Presentation, recordings and the <em>Data Accessibility Benchmark Organisational Self-Assessment Tool</em>, which was the subject of a CODATA webinar given on 18 and 19 January 2016. The presenter was Andrew Sherin, Director of the Atlantic Coastal Zone Information Steering Committee Secretariat.</p>
Biotea Linked Data for Open Access Full text PubMed Central
<p>this is the dataset from a-b</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>
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>
Data for preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging "
<p>Numerical data used in latest version of preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging ", https://www.researchsquare.com/article/rs-121292/v1</p>
Data from: Size matters: when resource accessibility by ecosystem engineering elicits wood-boring beetle demographic responses
<p>This data was used to investigate how the age and size of beaver disturbances act as predictors for primary wood-boring beetle abundance and species richness around beaver-altered habitat patches. To do so, we sampled beetles around 16 beaver-disturbed and unaltered watercourses within the Kouchibouguac National Park (Canada) and modeled beetle demographical responses to site conditions and their physical characteristics, distance from the watercourse, deadwood biomass, and the geographical location of the sites.</p>
Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed (Release 2)
<p>Environmental and AIS data collected during the second phase of EUMR TNA experiments using the CMRE LOON testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)</p> <p>Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p>SVP1 data missing for June 17-18 (2021) and July 5-7 (2021).</p> <p><br> Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for:<br> i) June 9-11 - 2021</p> <p>AIS recorded data not available after June 11, 2021</p> <p>For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description", Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001</p>
Source data for "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"
<p>Source data used in a manuscript "Non-Telecentric two-photon microscopy for 3D random access mesoscale 2 imaging"</p> <p> </p> <p> </p> <p> </p>
Adiabatic and diabatic signatures of ocean temperature variability - ACCESS-CM2 processing/plotting code and processed data
<p>Contains processed data and processing/plotting code for the figures in the article:</p> <p>Holmes, R.M., Sohail, T. and Zika, J.D. (2022): Adiabatic and diabatic signatures of ocean temperature variability, Journal of Climate, <a href="https://doi.org/10.1175/JCLI-D-21-0695.1">https://doi.org/10.1175/JCLI-D-21-0695.1</a></p> <p>For more information please see the published article, as well as the github repository where the code is described in more detail: <a href="https://github.com/rmholmes/CM2_HCvar/tree/JCLI-D-21-0695">https://github.com/rmholmes/CM2_HCvar/tree/JCLI-D-21-0695</a></p>
Modelling and Enforcing Access Control Requirements for Smart Contracts - Data Set
<p>This data set contains all artifacts for the master thesis of Jan-Philipp Töberg at the Karlsruher Institute of Technology. This includes the Eclipse project for the metamodel and the generator, the extension of the Slither framework and the use case instances employed during the evaluation. Additionally, extensive instructions regarding the installation and usage are provided.</p>
TRINITY open access data repository data set 2 by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
TRINITY open access data repository by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
Data supporting "Stems Matter: Xylem Physiological Limits Are an Accessible and Critical Improvement to Models of Plant Gas Exchange in Deep Time"
<p>Model outputs from from <em>Paleo</em>-BGC and <em>Paleo</em>-BGC+. Code detailing data structure and allowing reproduction of analysis can be found at github.com/wjmatthaeus</p>
Data accessibility for conservation implications of genetic structure in the narrowest endemic quillwort from the Eastern Amazon
<p>The quillwort <em>Isoetes cangae</em> is a critically endangered species occurring in a single lake in Serra dos Carajás, Eastern Amazon. Low genetic diversity and small effective population sizes (N<sub>e</sub>) is expected for narrow endemic species (NES). Here, we evaluated genetic diversity, population structure, and N<sub>e</sub> of <em>I. cangae </em>to provide information for conservation programs. Conservation biology studies centered in a single‐species show some limitations but they are still useful considering the limited time and resources available for the protection of species at risk of extinction. Our analyses were based on 55 individuals collected from the Amendoim lake and 35,638 neutral SNPs. Our results indicated a single panmictic population, moderate levels of genetic diversity, and effective population size (N<sub>e</sub>) in the order of thousands, contrasting the expected for NES. Negative FIS values were also found, suggesting that <em>I. cangae</em> is not under risk of inbreeding depression. Our findings imply that <em>I. cangae </em>contains enough genetic diversity to ensure evolutionary potential, all individuals should be treated as one demographic unit.</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.