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3,121 results for “Resources”
Authorship information of open educational resources derived from peer-reviewed scientific literature
<p>This dataset evaluates the authorship of open educational resources available at 5 STEM resource web sites (EcoEd Digital Library, CourseSource, Teaching Issues and Experiments in Ecology, Teach the Earth, and the National Center for Case Study Teaching in Science). Using 20 exercises from each site, it evaluates the proportion of exercises that draw on peer-reviewed scientific studies; of those, it also evaluates the proportion in which any author of the teaching exercise overlaps with any author of a scientific article from which the open educational resource is derived. The overall goal is to evaluate overlap in authorship between scientific publications and associated open educational resources. The first tab shows how the studies were selected and the second tab presents authorship data for each study.</p>
Resources
<p>Resources for the paper 'Generalizing Neural Page Stream Segmentation Methods to Public Datasets: A Reproducibility Study'</p>
Training Data - Effects of seasonality and classifier on the accuracy of grazing resource and land degradation maps in a savanna ecosystem
<p>This csv file contains training data (class and coordinates (latitude and longitude)) used in the classification models presented in the paper - Effects of seasonality and classifier on the accuracy of grazing resource and land degradation maps in a savanna ecosystem</p>
Pelagic Invertebrates LifeDesks (myspecies): Resource (432) DwCA
Open the record for dataset details and reuse information.
The Impact of Regional Resources and Technology Availability on Carbon Dioxide Removal Potential in the United States
Open the record for dataset details and reuse information.
EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE
<p>Master data for EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE</p>
Data from: Development and preliminary evaluation of a genome-wide single-nucleotide polymorphisms resource generated by RAD-seq for the small yellow croaker (Larimichthys polyactis)
Recent advances in high-throughput sequencing technologies have offered the possibility to generate genome-wide sequence data to delineate previously unidentified genetic structure, obtain more accurate estimates of demographic parameters, and to evaluate potential adaptive divergence. Here, we identified 27 556 single-nucleotide polymorphisms for the small yellow croaker (Larimichthys polyactis) using restriction-site-associated DNA (RAD) sequencing of 24 individuals from two populations. Significant sources of genetic variation was identified, with an average nucleotide diversity (π) of 0.00105 ± 0.000425 across individuals and long-term effective population size was thus estimated to range between 26 172 and 261 716. According to the results, no differentiation between the two populations was detected based on the SNP dataset of top quality score per contig or neutral loci. However, the two analyzed populations were highly differentiated based on SNP dataset of both top FST value per contig and the outlier SNPs. Moreover, local adaptation was highlighted by an FST-based outlier tests implemented in LOSITAN and a total of 538 potentially locally selected SNPs were identified. BLAST2GO annotation of contigs containing the outlier SNPs yielded hits for 37 (66%) of 56 significant BLASTX matches. Candidate genes for local adaptation constituted a wide array of biological functions, including cellular response to oxidative stress, actin filament binding, ion transmembrane transport and synapse assembly. The generated SNP resources in the present study provided a valuable tool for future population genetics and genomics studies of L. polyactis.
Data from: DNA barcoding of invasive plants in China: a resource for identifying invasive plants
Invasive plants have aroused attention globally for causing ecological damage and having a negative impact on the economy and human health. However, it can be extremely challenging to rapidly and accurately identify invasive plants based on morphology because they are an assemblage of many different families and many plant materials lack sufficient diagnostic characteristics during border inspections. It is therefore urgent to evaluate candidate loci and build a reliable genetic library to prevent invasive plants from entering China. In this study, five common single markers (ITS, ITS2, matK, rbcL and trnH-psbA) were evaluated using 634 species (including 469 invasive plant species in China, 10 new records to China, 16 potentially invasive plant species around the world but not introduced into China yet and 139 plant species native to China) based on three different methods. Our results indicated that ITS2 displayed largest intra- and interspecific divergence (1.72% and 91.46%). Based on NJ tree method, ITS2, ITS, matK, rbcL and trnH-psbA provided 76.84%, 76.5%, 63.21%, 52.86% and 50.68% discrimination rates, respectively. The combination of ITS+matK performed best and provided 91.03% discriminatory power, followed by ITS2+matK (85.78%). For identifying unknown individuals, ITS+matK had 100% correct identification rate based on our database, followed by ITS/ITS2 (both 93.33%) and ITS2+matK (91.67%). Thus, we propose ITS/ITS2+matK as the most suitable barcode for invasive plants in China. This study also demonstrated that DNA barcoding is an efficient tool for identifying invasive species.
Data from: Effects of diet on resource utilization by a model human gut microbiota containing Bacteroides cellulosilyticus WH2, a symbiont with an extensive glycobiome
The human gut microbiota is an important metabolic organ. However, little is known about how its individual species interact, establish dominant positions, and respond to changes in environmental factors such as diet. In the current study, gnotobiotic mice colonized with a simplified model microbiota composed of 12 sequenced human gut bacterial species were fed oscillating diets of disparate composition. Rapid, reproducible and reversible changes in community structure were observed. Time series microbial RNA-Seq analyses revealed staggered functional responses to diet shifts throughout the community that were heavily focused on carbohydrate and amino acid metabolism. High-resolution shotgun metaproteomics confirmed many of these responses at a protein level. One member, Bacteroides cellulosilyticus WH2, proved exceptionally fit regardless of diet. Its genome encoded more carbohydrate active enzymes than any known Bacteroidetes. Transcriptional profiling indicated that B. cellulosilyticus WH2 is an adaptive forager that tailors its versatile carbohydrate utilization strategy to available dietary polysaccharides, with a strong emphasis on plant-derived xylans abundant in dietary staples like cereal grains. Two highly expressed, diet-specific polysaccharide utilization loci (PULs) in B. cellulosilyticus WH2 were identified, one with characteristics of xylan utilization systems. Introduction of a B. cellulosilyticus WH2 library comprising 26,750 isogenic transposon mutants into gnotobiotic mice along with other model community members confirmed that these loci represent critical diet-specific fitness determinants. The specific carbohydrates that trigger overexpression of these two loci and many of the organism's 111 other predicted PULs were identified by RNA-Seq during in vitro growth on 31 distinct carbohydrate substrates, allowing us to better interpret in vivo RNA-Seq and proteomics data. These results offer insight into how gut microbes adapt to dietary perturbations, both at a community level and from the perspective of a well-adapted symbiont with exceptional saccharolytic capabilities, and illustrate the value of studying defined models of the human gut microbiota.
Fig. 1 in Food resource partitioning in a fish community of the central Amazon floodplain
Fig. 1. Localization of the lago do Rei and detail of the study site in the northern part.
Project-NN-Pytorch-scripts Datasets and Resources
<p>=== General ===</p> <p>This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts.</p> <p>All the data released with a CC BY-SA 4.0 lincense https://creativecommons.org/licenses/by-sa/4.0/, unless it is specified in the corresponding data package. </p> <p>Note:</p> <ol> <li>Data derived from ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>Data derived from ASVspoof 2021 DF <a href="https://doi.org/10.5281/zenodo.4835107">10.5281/zenodo.4835107</a>, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>Data derived from ASVspoof 2021 LA <a href="https://doi.org/10.5281/zenodo.4817650">10.5281/zenodo.4817650</a>, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/;</li> <li>ESPNet samples were partially produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. </li> <li>ESPNet samples were partially produced based on the LibriTTS database, LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech", Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu, arXiv, 2019 https://www.openslr.org/60/. It is released with CC BY 4.0 https://creativecommons.org/licenses/by/4.0</li> </ol> <p>That's all</p> <p> </p>
Dataset of the Distress Screening Scale for the article: Emotional distress, coping, and social support: A network analysis of risk and resources in persons with cancer
<p>Dataset of the Distress Screening System comprises 52 items that relate to six psycho-social domains of human functioning: depression, anxiety, social support, coping efficacy, satisfaction with care, and functional status</p>
Food Resource Database (FREDA) – all you can eat from past to today
<p>The <strong>F</strong>ood <strong>Re</strong>source <strong>Da</strong>tabase (FREDA) is created in the frame of the PhD project of Susanne Krüger.</p> <p>The data collected in FREDA comprise information on edibility, abundance and seasonality of edible resources that occur in natural environments. These resources include plants, mushrooms, invertebrates, such as insects or land snails, as well as small (<10 kg) and large vertebrates (>10 kg).</p> <p>Based on such records it is possible to analyse and quantify food resources in different aspects, such as an analysis of the changing availability of resources in time and space. The availability of resources is considered taking not only natural aspects into account but also the different levels of cultural capacities necessary for the utilization. Cultural capacities of different hominin groups regarding the exploitation of different resources change considerably through time, for example with respect to the use of fire or hunting techniques.</p> <p>The information stored in this database are most detailed with respect to edibility, nutrition, abundance and seasonal availability of resources.</p>
Metadane dla Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey
<p>Metadata for Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey</p>
Finding Small Proofs for Description Logic Entailments: Theory and Practice - LPAR20 - Resources
<p><strong>experiments-LPAR-2020 </strong>contains all datasets and scripts used in the experiments described in the paper, and a README file with instructions on how to rerun the experiments.</p>
(Copernicus - WEkEO Hackathon 22 – 23 JUNE 2023 ) Digital Cartography Simulation of Essential ocean variables (EOV) (educational support resource in space oceanography)
<p>Description of idea : The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985),</strong></p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014).</strong></p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation).</p> <p>We see on the same simulation scale several other spatial and temporal scale, for example the simulation of SST of several years with a large gap between the years, also the simulation of the displacement of surface currents with the variations of the SST, in other words the document can be used in pedagogy.</p> <p> </p> <p>Bibliographic reference:<br> -Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</p> <p> </p> <p> </p>
Visualization of the Multidimensional Volumetric Data-base by Video - Mapping Technology in field of Operational Oceanography (Algerian basin) (zooplankton expressed as carbon in sea water - mass concentration of chllorophyl a in sea water,Wekeo Data ) During 2022 year : (educational support resource in space oceanography)
<p>The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985)</strong>,</p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014)</strong>.</p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation)</p> <p> </p> <p><strong>Bibliographic reference:</strong><br> <strong>-Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</strong></p> <p> </p>
Supplementary data for "Resource-efficient photonic quantum computation with high-dimensional cluster states"
<p>Supplementary data for the paper "Resource-efficient photonic quantum computation with high-dimensional cluster states" by Ohad Lib and Yaron Bromberg.</p>
Giving Resources to lOw-income Children to Enhance RecoverY
ClinicalTrials.gov study NCT06560229. IPD Sharing: NO. Countries: 1. Publications: 0.
Retrospective Assessment of AE-Related Healthcare Resource Utilization and Costs of Immune Checkpoint Inhibitor and Targeted Therapy for Adjuvant Treatment of Melanoma
ClinicalTrials.gov study NCT05874817. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.