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6,782
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6,782 results for “project”
Warehouse Daily Volume Customer PLANET project
<p>Warehouse Daily Volume Customer\</p>
Microclimate dataset of the SAFE project landscape
<p>Daily projections of mean and maximum temperature and vapour pressure deficit (VPD) across the SAFE landscape in Borneo, Malaysia. Data was used to model the number of yearly life-cycle completions (LCC/year) of the disease vector Aedes Albopictus in order to study the impact of deforestation for oil palm plantation on microclimate-driven vector suitability. Dataset contains stacked raster files with a 50-meter grid cell resolution (n = 145,214 grid cells, equivalent to approximately 363 km2). Microclimate data were projected using LiDAR-derived DEM, CHM and point cloud-derived metrics, combined with microclimatic data from dataloggers, as inputs (see associated doi for more information: Jucker et al (2018)).</p> <p><strong>Date range: </strong>2013-05-01 to 2015-03-01<br> <strong>Latitudinal extent: </strong>4.5000 to 5.0700<br> <strong>Longitudinal extent: </strong>116.7500 to 117.8200</p>
Tharandt_Rain_Gauge_Project
<p>dataset of array measurement campaing 2018/2019</p>
Effectiveness Assessment of E-Ticketing Technology in Construction of Transportation Projects
<p>The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies for overcoming limitations. Therefore, this study aims to (1) Indicate inefficiencies in the conventional paper ticketing framework and identify suitable technology to overcome the inefficiencies. (2) Identify benefits, quantify the reduction in inspection staff and time savings incurred by implementing e-Ticketing technology. (3) Develop a multi-criteria decision-making model for implementation of e-Ticketing platform in the perspective of state DOTs and general contractors. (4) Identify and rank the major limitations in the process of implementing e-Ticketing technology and suggest suitable strategies to overcome them. To achieve the study's objective, review section is followed by a semi-structured interview and survey results. Based on the survey responses collected from 20 state DOTs, the study categorized the critical effectiveness indicators into 3 categories and ranked the operational challenges using the Relative Importance Index. The study analyses the critical effectiveness indicators (CEIs) of e-Ticketing technology and presents a fuzzy index-based decision-making model for evaluating the adoption priorities. A comparison was made between the required number of inspectors prior to and after the implementation of e-Ticketing, and it was found that projects requiring multiple inspectors could reduce their workforce by 25% by implementing e-Ticketing. The study's findings will assist practitioners with an assessment tool to gain insights relating to priority levels in implementing the e-Ticketing technology.</p>
BigWig files for HSC lncRNAs project
<p>BigWig files for HSC lncRNAs project</p>
Throughfall and rain event data, May-July 2014-2016, Hainich, Germany, project AquaDiva
<p>This dataset contains throughfall and gross precipitation data used for the analysis published in Metzger et al. (2017) and Fischer et al. (2023). It gives spatially distributed throughfall evaluated at a rain event scale covering the following periods:</p> <p>May 1 - July 26 2014</p> <p>May 9 - July 28 2015</p> <p>May 24 - August 02 2016</p> <p>The two enclosed files cover the collected throughfall at all sampling points per precipitation event, and the properties of each recorded precipitation event, containing also gross precipitation.</p> <p>The field site, sampling design data collection are described in Metzger et al. (2017) and used in Fischer et al. (2023). The sampling design is given in an associated published dataset Metzger and Hildebrandt (2023). For stemflow measurements on the same site during the same precipitation events, see dataset Metzger and Hildebrandt (2019), cited in Metzger et al. (2019).</p>
VICTRE Simulated Tomosynthesis Projections
<p>The dataset was simulated using the VICTRE<sup>1</sup> pipeline and contains two sets of 259 raw-projections, each from a different phantom. The first set of projections has an equal dose for all projections. The dose of the second set follows data from the Malmö Breast Tomosynthesis Trial<sup>2</sup>. </p> <p> </p> <p>1, Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.” Aldo Badano, Ph. D., Christian G. Graff, Ph. D., Andreu Badal, Ph. D., Diksha Sharma, M. Sc., Rongping Zeng, Ph. D., Frank W. Samuelson, Ph. D., Stephen Glick, Ph. D., and Kyle J. Myers, Ph. D. <em>JAMA Network Open. 2018;1(7):e185474;</em> <a href="https://doi.org/10.1001/jamanetworkopen.2018.5474">doi:10.1001/jamanetworkopen.2018.5474</a>.</p> <p>2, Victor Dahlblom, Magnus Dustler, and Sophia Zackrisson (2019) Mammograms from cancer screening <a href="https://doi.org/10.23698/aida/mbtst-dm">doi:10.23698/aida/mbtst-dm</a></p>
GEOLAB - CLARIFIER project
<p>The existing Critical Infrastructure (CI) of Europe in the water, energy, urban and transport sector is facing major challenges because of pressures such as climate change, extreme weather, geo-hazards, ageing and increased usage, in combination with pivotal changes in the CI to meet long-term societal goals (e.g., energy transition). To address these challenges, scientific research and innovative solutions are needed that can only be achieved by an interdisciplinary, cross-boundary approach and by equipping expert teams with the most advanced suite of physical research infrastructure available. This will allow them to work across spatial scales, explore different theories that describe the pressures and adopt innovative techniques in the development of practical solutions.</p> <p>The GEOLAB Research Infrastructure (RI) consists of 11 unique installations in Europe developed to study subsurface behavior and the interaction of the subsurface with structural CI elements (e.g., a bridge) and the environment. The overarching aim of GEOLAB is to integrate and advance these key national research infrastructures towards a one-stop-shop of excellent physical research infrastructure specifically for performing ground-breaking research and innovation to address the challenges faced by the CI of Europe. During the GEOLAB Transnational Access (TA), users outside the consortium gain access to the GEOLAB installations to perform research and innovation.</p> <p>One of the GEOLAB’S TA projects is the project CLARIFIER. For this project, centrifuge tests were conducted at Deltares, in The Netherlands. The main objectives of the CLARIFIER tests are: (a) to evaluate how well partially decomposed fibrous peat can be modelled in a geotechnical centrifuge and to (ii) understand the failure mechanisms under light weight embankments.</p>
FIG. 3 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 3. — Photos of the exhibition: Purussaurus, the giant crocodile in La Victoria. Photo credits: Vigías del Patrimonio.
Hong Kong Jellyfish Project Participation Survey Outreach and Responses
<p>Compiled Hong Kong Jellyfish Project 2021 translated outreach letters and participation survey questions - This file contains the outreach letters (in English and Traditional Chinese) that were sent to observers who submitted observations to the Hong Kong Jellyfish Project website (www.hkjellyfish.com) and iNaturalist project in 2021. </p> <p>Hong Kong Jellyfish Project 2021 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2021 Participation Survey from the Hong Kong Jellyfish Project. </p> <p>Hong Kong Jellyfish Project 2022 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2022 Participation Survey from the Hong Kong Jellyfish Project.</p> <p> </p>
Khmer Treebank of Asian Language Treebank Project
<p>* Introduction</p> <p>This is the Khmer ALT of the Asian Language Treebank (ALT) Corpus. Please refer to<br> http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html<br> for an introduction of the ALT project.</p> <p>The process of building the Khmer ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into Khmer language.<br> <br> The English Wikinews<br> https://en.wikinews.org/wiki/Main_Page<br> is available under the terms of the Creative Commons Attribution 2.5 License.<br> https://creativecommons.org/licenses/by/2.5/</p> <p>* License</p> <p>Khmer ALT has been developed by NICT and CADT (a.k.a. NIPTICT). The license of Khmer ALT is</p> <p>Academic Research Non-Commercial Limited CC-BY-NC-SA Reference-Type License Agreement Terms and Conditions</p> <p>The use of this material (copyrighted material, data, etc.) is permitted under the conditions similar to the Creative Commons "Attribution-NonCommercial-ShareAlike" License. However, the purpose of use shall not only be "NonCommercial" but must be “for Academic Research and Non-Commercial”.<br> The detailed legal provisions are listed at the end of the document, but the outline is as follows.</p> <p>You are free to:<br> Share — copy and redistribute the material in any medium or format<br> Adapt — remix, transform, and build upon the material<br> The licensor cannot revoke these freedoms as long as you follow the license terms.</p> <p>Under the following terms:<br> Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.<br> Academic Research&Non-Commercial — You may use the material only for academic research purposes and may not use it for commercial purposes.<br> ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.</p> <p>In this Terms and Conditions, academic research purposes are not associated with the interpretation of the Creative Commons License, and shall refer to "the purpose of intellectual creative activities conducted by persons belonging to institutions of higher education and research institutes, etc. in order to develop a better and affluent society through exploration of the truth about nature, humans, society, etc., discovery of new principles and laws, and application of these in a wide range of fields from natural sciences to human and social sciences." Non-commercial means: not for the purpose of any contribution to a for-profit or commercial business. The outcome of research and development activities initially undertaken without the purpose of contributing in any way to a for-profit or commercial business shall not be permitted to be used later to contribute to one.</p> <p>The legal provisions of this license are: the terms of Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) plus the following rider clauses. On that note, the Terms and Conditions of this license are not equal to that of the Creative Commons license—they were inspired by them and share most of the terms and conditions with them, but shall be considered as a different license.</p> <p>Rider Clauses<br> 1. "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License" in the title and preamble shall read "Academic Research Non-Commercial Limited CC-BY-NC-SA Compliant License Agreeement Terms and Conditions".<br> 2. Article 1 c and g shall be deleted.<br> 3. Article 1 k shall be amended as follows:<br> k. "Academic Research Purposes" shall refer to the purpose of intellectual creative activities conducted by persons belonging to institutions of higher education and research institutes, etc. in order to develop a better and affluent society through exploration of the truth about nature, humans, society, etc., discovery of new principles and laws, and application of these in a wide range of fields from natural sciences to human and social sciences, and does not consider contribution to for-profit or commercial businesses as its main or secondary purpose. Activities initially undertaken without the purpose of contributing to a for-profit or commercial business, shall no longer be considered as "academic research purposes" as soon as they decide to contribute to one.<br> 4. Article 3 b.1. shall be replaced by the following:<br> 1. The Adapter's License that You apply must be this License.<br> 5. In all provisions, "NonCommercial" shall read "Academic Research Purposes" and "this Public License" shall read "this License".</p> <p>Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License<br> <https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode></p> <p>* Usage</p> <p>1. Compile the source codes.<br> 2. Run with no option to see the instruction.<br> 3. Follow the instruction to generate the treebank.</p>
Data used in "Anderson et al. 2024. Unexpected sources of uncertainty in projecting habitat shifts for Arctic shorebirds under climate change"
<p>Data used in "Anderson et al. 2023. Unexpected sources of uncertainty in projecting habitat shifts for Arctic shorebirds under climate change". Includes shorebird observations from Environment and Climate Change Canada PRISM dataset, and environmental covariates. See Anderson et al. 2023 methods for more details. Data was funded and collected by Environment and Climate Change Canada.</p>
Micromagnet fabrication - die cut technique - H2020 UWIPOM2 PROJECT
<p>Micromagnet fabrication, die-cut technique</p> <p>https://www.youtube.com/watch?v=hD5jjuUfOrE&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
Wolbachia genomes assembled from insect hosts generated by the DToL project
<p>This dataset represents the assembly of 110 high-quality complete <em>Wolbachia</em> genomes, from 93 insect species, of which 77 were circular. These genomes are named using the schema Xyz_ToLID_§ where Xyz is the first three letters of the insect order of the host, ToLID is the identifier of the host species, and § indicates the supergroup.</p>
Hydraulic Data from pumping tests in the projects STIMTEC and STIMTEC-X
<p>Hydraulic Data from pumping tests, i.e., injection and production, and pressure monitoring in various boreholes drilled in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X</p>
Biome classification influences the projected rate of future biome transitions
<p><strong>Aim. </strong>Biome classification schemes are widely used to map biogeographic patterns of vegetation formations on large spatial scales. Future climate change will influence biome patterns, and vegetation models can be used to assess the susceptibility of biomes to experience transitions. However, biome classification is not unique, and various classification schemes and biome maps exist. Here, we aimed to assess how the choice of biome classification schemes influences current and projected future biome patterns.</p> <p><strong>Location.</strong> Africa, Australia, Tropical Asia</p> <p><strong>Time period.</strong> 2000-2099</p> <p><strong>Major taxa studied.</strong> Tropical vegetation</p> <p><strong>Methods.</strong> We used adaptive dynamic global vegetation model version 2 (aDGVM2) to simulate vegetation in the study region. We classified vegetation into biomes using (1) a classification scheme based on the cover of functional types, (2) a cluster analysis based on the cover of functional types, and (3) a cluster analysis based on trait patterns simulated by the aDGVM2. We compared the resulting biome maps to multiple observation-based biome maps and quantified differences in projected biome changes under the RCP8.5 scenario for the different classification schemes.</p> <p><strong>Results.</strong> As expected, biome patterns were strongly related to the scheme used for biome classification. The highest data-model agreement was derived for a cluster analysis using 21 simulated traits. Traits related to size were most important for classification. Considering all classification schemes, the area projected to undergo biome transitions under climate change varied between 16.5% and 32.1%. Despite this variability, different schemes consistently showed that grassland and savanna areas are most susceptible to climate change, whereas tropical forests and deserts are stable. Our results demonstrate that traits simulated by aDGVM2 are appropriate to delimit biomes.</p> <p><strong>Main conclusions. </strong> Studies projecting biome patterns and transitions under current and future climate should consider applying different biome classification schemes to avoid biases in such projections caused by biome classification schemes.</p>
Cytotoxicity, Mutagenicity and Genotoxicity of Electronic Cigarettes Emission Aerosols Compared to Cigarette Smoke: the REPLICA project
<p>In this work the REPLICA Team replicated part of the work published by Rudd and colleagues in 2020, which aims to establish the aerosol-induced cytotoxicity, mutagenesis and genotoxicity of a pod system e-cigarette aerosol compared to tobacco cigarette smoke. As in the original paper, we performed Neutral Red Test (NRU) for the evaluation of cytotoxicity, AMES test for the evaluation of mutagenesis and In Vitro Micronuclei (IVM) assay for the evaluation of genotoxicity on cells treated with cigarette smoke or e-cigarette aerosol. The results obtained showed high cytotoxicity, mutagenicity and genotoxicity induced by cigarette smoke, but slight or no cytotoxic, mutagenic and genotoxic effects induced by the e-cigarette aerosol. The data obtained support those previously presented by Rudd and colleagues, although we have highlighted some methodological flaws of their work. Overall, we can affirm that the results obtained by Rudd and colleagues have been established and our data also confirm the idea that e-cigarette aerosol is much safer and less harmful than e-cigarette smoking, making it a useful device in smoking harm reduction</p>
Atlas of the Finnish Literature project dataset
<p>This dataset contains data for the project <em>Atlas of the Finnish Literature</em>. The data contains original plain text files containing Finnish literature from the late 19th and early 20th century, TEI/XML-versions of these same files converted by the project, and the same TEI/XML files with named entity recognition and named entity linking data added. In addition, there are JSON-exported, simplified versions of the final data files.</p>
mini-project-1
<p>the data for mini-proj-1</p>
The hg38 genome sequences used in this project
<p>hg38_original.fasta.gz : The original hg38 contig sequences (contigs length < 500kb were excluded ).</p> <p>hg38_sim1.fasta.gz : The simulated heterozygous hg38 genome.</p> <p>hg38_sim2.fasta.gz : The simulated error-included hg38 genome.</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.