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3,121 results for “Resources”
Assessing the Persistence and Mobility of Organic Substances to Protect Freshwater Resources
<p>Supporting Information from Assessing the Persistence and Mobility of Organic Substances to Protect Freshwater Resources</p>
Plot attribute table of the Kunbaja online resource
<p>Plot attribute table of the QGIS database of the Kunbaja online resource model as dataset in the .xlsx file format</p>
SE-PEF: a Resource for Personalized Expert Finding
<p>The problem of personalization in Information Retrieval has been under study for a long time. A well know issue related to this task is the lack of publicly available datasets that can support a comparative evaluation of personalised search systems. To contribute in this respect, this paper introduces SE-PEF (StackExchange - Personalized Expert Finding), a resource useful for designing and evaluating personalized models related to the task of Expert Finding (EF).<br>The contributed dataset includes more than 250k queries and 565k answers from 3,306 experts, which are annotated with a rich set of features modeling the social interactions among the users of a popular cQA platform.<br>The results of the preliminary experiments conducted show the appropriateness of SE-PEF to evaluate and to train effective EF models.</p> <p>If you use this dataset, please also cite the following:</p> <p>```</p> <p>@inproceedings{<br> 10.1145/3624918.3625335,<br> author = {Kasela, Pranav and Pasi, Gabriella and Perego, Raffaele},<br> title = {SE-PEF: a Resource for Personalized Expert Finding},<br> year = {2023},<br> isbn = {9798400704086},<br> publisher = {Association for Computing Machinery},<br> address = {New York, NY, USA},<br> url = {https://doi.org/10.1145/3624918.3625335},<br> doi = {10.1145/3624918.3625335},<br> booktitle = {Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region},<br> pages = {288–309},<br> numpages = {22},<br> series = {SIGIR-AP '23}<br>}</p> <p>```</p>
Protecting the resource: an assessment of mitigation methods used to protect large trees from African elephant impact in a savanna system
<p>African elephants (<em>Loxodonta africana</em>) can alter the structural components of savanna ecosystems, often through the reduction of the large tree (>5 m height) cover component. Elephant impact can be amplified in small, protected areas, or areas where water is readily available to elephants. One management option is to protect large trees directly using applied mitigation methods to limit elephant impact. In this paper, we assessed and compared the effectiveness and logistical requirements of four mitigation methods that have been applied to protect large trees from elephant impact in South Africa's Greater Kruger National Park - namely African honeybees (<em>Apis mellifera scutellata</em>) in beehives; creosote oil in glass jars, concrete pyramids arranged in circles around trees, as well as wire-netting the trees' main stems. For each method, elephant impact levels and tree mortality rates were measured over a 2–5-year period depending on the method in use. Sample sizes ranged from 43 to 59 trees per mitigation method, with a comparable control, which was a tree of the same species and morphological dimensions but lacking any mitigation application. Beehives were the most effective method at reducing tree loss, significantly reducing tree mortality from 34% (6.8%/year) in control trees to only 10% (2%/year) over the five-year experimental period. However, beehives were the most expensive method to apply to a tree, although this cost can be compensated through honey sales. Concrete pyramids reduced tree loss when the combined pyramid radius was >1.5 m in length, whilst wire-netting was effective against bark-stripping by elephants but was still vulnerable to heavier forms of impact such as uprooting and stem snapping. Creosote jars did not prevent elephants from impacting treated trees. Our results provide managers with a toolkit for protecting large trees against elephant impact, commenting on both the efficacy and the logistical constraints for each method.</p>
The Genomic Reference Resource for African Cattle: genome sequences and high-density array variants.
<p><em>The diversity in genome resources is fundamental to designing genomic strategies for local breed improvement and utilisation. These resources also support gene discovery and enhance our understanding of the mechanisms of resilience with applications beyond local breeds. We report here the genome sequences of 573 samples (198 new genomes) and high-density (HD) array genotyping of 1,082 samples (537 new samples) from indigenous African cattle populations. The new sequences have an average genome coverage of ~30X, three times higher than the average (~10X) of the over 300 sequences already in the public domain. Following variant quality checks, we identified approximately 32.4 million sequence variants and 661,943 HD autosomal variants mapped to the Bos taurus reference genome (ARS-UCD1.2). The new datasets were generated as part of the Centre for Tropical Livestock Genetic and Health (CTLGH) Genomic Reference Resource for African Cattle (GRRFAC) initiative, which aspires to facilitate the generation of this livestock resource. We hope this resource will be utilised by the global scientific community and breeders for sustainable global livestock improvement.</em></p>
Data from: genetic resources of macroalgae: development of an efficient method using microsatellite markers in non-model organisms
<p><span>Red and brown seaweeds are species with high ecological and economic importance. Here we report the feasibility of cost-effective molecular marker development in 6 species from different clades. Microsatellites markers of two brown seaweed species <em>Alaria esculenta</em>, <em>Pylaiella littoralis</em>, and of four red seaweed species <em>Calliblepharis jubata</em>, <em>Gracilaria gracilis</em>, <em>Gracilaria dura </em>and <em>Palmaria palmata</em> were identified and characterized using genomic sequences of Double-Digest Restriction site Associated DNA (ddRAD). A total of 64,623,186 reads were generated from two runs of multiplexed Illumina Miseq sequencing for which 30,636 reads containing microsatellites and 15,443 microsatellite loci with primers pairs were found. Five hundred seventy-six primers pairs were selected for amplification trials and levels of polymorphism. From the 338 that gave a positive amplification, 142 primers pairs were polymorphic. For genetic analyses two or three populations per species from 13 different geographic locations were used. A total of 28 usable polymorphic markers for <em>A. esculenta</em>, 18 for <em>P. littoralis</em>, 11 for <em>C. jubata</em>, 14 for <em>G. gracilis</em>, 21 for <em>G. dura </em>and 13 for <em>P. palmata </em>were developed. The overall number of alleles per locus ranged from 2 to 22. These 105 new microsatellite markers will be useful for further studies of population genetics, breeding programs and conservation genetics of these species. Compared with traditional approaches, our study yielded thousands of microsatellite loci in a short tim</span><span>e with affordable costs in six different species. This study based on ddRAD-sequencing for the development of microsatellite markers provides preliminary data u</span><span>sing a few individuals from two distinct populations on the genetic structure and reproduction mode of a non-model species as shown </span>with the detection of clonality for the two red algae, <em>C. jubata </em>and <em>G. dura</em> and the detection of highly genetically divergent populations corresponding probably to different cryptic species under the name of<em> P. littoralis</em>.</p>
Resource selection by New York City deer reveals the effective interface between wildlife, zoonotic hazards, and humans
<p class="MsoNormal"><span>Although the role of host movement in shaping infectious disease dynamics is widely acknowledged, methodological separation between animal movement and disease ecology has prevented researchers from leveraging empirical insights from movement data to advance landscape scale understanding of infectious disease risk. To address this knowledge gap, we examine how movement behavior and resource utilization by white-tailed deer (<em>Odocoileus virginianus</em>) determines blacklegged tick (<em>Ixodes scapularis</em>) distribution, which depend on deer for dispersal in a highly fragmented New York City borough. Multi-scale hierarchical resource selection analysis and movement modeling provide insight into how deer's movements contribute to the risk landscape for human exposure to the Lyme disease vector–<em>I. scapularis</em>. We find deer select highly vegetated and accessible residential properties which support blacklegged tick survival. We conclude the distribution of tick-borne disease risk results from individual resource selection by deer across spatial scales in response to habitat fragmentation and anthropogenic disturbances.</span></p>
Dataset for the paper: Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning
<p>Data generated from the experiments for the paper "Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning"</p>
Zymoseptoria tritici pangenome resources
<p>This repository is a collection of reference-quality genomes available for the fungal wheat pathogen Zymoseptoria tritici.</p>
Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake
<p class="MsoNormal">Theory predicts that genetic erosion in small, isolated populations of endangered species can be assessed using estimates of neutral genetic variation reflecting long-term impacts of genetic drift, yet this widely used approach has been questioned in the genomics era. Here we leverage a chromosome-level assembly and whole genome resequencing data (N=110 individuals) from an endangered rattlesnake (<em>Sistrurus catenatus</em>) to evaluate the relationship between genome-wide neutral and functional diversity over long- and short-term timescales. As predicted for populations at long-term equilibrium, we found a positive correlation between population-level estimates of neutral genetic diversity (π) and the mean number of highly detrimental loss-of-function mutations, and a negative relationship between neutral genetic diversity and an estimate of genetic load. In contrast, we found only a weak, non-significant positive correlation between levels of neutral and adaptive variation. Additional analyses using estimates of drift at more recent time scales (> 100 generations) show expected correlations between both measures of genetic load, but a lack of a significant correlation with levels of adaptive variation. Individual-based demographic metrics that capture drift impacts over recent time scales confirm these results. Broadly, our results confirm that estimates of diversity and demography based on neutral genetic variation provide an accurate measure of a key component of genetic erosion – genetic load – in populations of a threatened vertebrate. Our findings also provide nuance to the neutral-functional diversity controversy by demonstrating that neutral genetic diversity is useful in predicting some, but not all, components of functional genetic diversity.</p>
Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
<p>If you use this resource please cite</p> <p> </p> <pre>@inproceedings{stranisci2023wikibio, title={WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events}, author={Stranisci, Marco Antonio and Damiano, Rossana and Mensa, Enrico and Patti, Viviana and Radicioni, Daniele and Caselli, Tommaso and others}, booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, volume={1}, pages={12370--12384}, year={2023}, organization={Association for Computational Linguistics} }</pre>
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify CpG site-phenotype associations
<p>MIMOSA DNA methylation prediction models, set up for MWAS. To run MWAS with this resource, see the tutorial here: <a href="https://github.com/ChongWuLab/MIMOSA">https://github.com/ChongWuLab/MIMOSA</a></p>
CLARA Knowledge Graph of licensed educational resources (using RDF-star, Standard reification, Singleton properties, or Named graphs)
<p><strong>CLARA</strong><br>This deposit is part of the <a href="https://project.inria.fr/clara/">CLARA project</a>. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.</p> <p>The present deposit contains the RDF files created using an RDF mapping (<a href="https://rml.io/">RML</a>) and a mapper (<a href="https://github.com/morph-kgc/morph-kgc">Morph-KGC</a>). It also contains the files JSON used as input. The corresponding pipeline can be found on <a href="https://gitlab.univ-nantes.fr/clara/pipeline">Gitlab</a>. The data used in that pipeline originate from <a href="https://www.x5gon.org/">X5GON</a>, a European project aiming to generate and gather open educational resources.</p> <p><strong>Knowledge graph content</strong><br>The present Knowledge Graph contains information about 45K Educational Resources (ERs) and 135K subjects (extracted from DBpedia).<br>That information contains </p> <ul> <li>the author,</li> <li>its title and description</li> <li>the license,</li> <li>a URL to the resource itself,</li> <li>the language of the ER,</li> <li>its mimetype,</li> <li>and finally which subject it talks about, and to what extent.</li> </ul> <p><br>That extent is given by two scores: a PageRank score and a Cosinus score.</p> <p>A particularity of the knowledge graph is its heavy use of RDF reification, across large multi-valued properties.<br>Thus four versions of the knowledge graph exist, using Standard reification, Singleton property, Named graphs, and RDF-star.</p> <p>The Knowledge Graph also contains <a href="https://databus.dbpedia.org/dbpedia/generic/categories">categories</a> originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.</p> <p>The KG.zip files contain five types of files:</p> <ul> <li><strong>Authors_[</strong>X<strong>].nt</strong> - Those contain the authors' nodes, their type, and name.</li> <li><strong>ER_[</strong>X<strong>].nt/nq/ttl</strong> - Those contain the ERs and their information using the respective RDF reification model.</li> <li><strong>categories_skos_[</strong>X<strong>].ttl</strong> - Those contain the hierarchy of DBpedia categories.</li> <li><strong>categories_labels.ttl </strong>- This file contains additional information about the categories.</li> <li><strong>categories_article.ttl</strong> - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.</li> </ul> <p> </p> <p><strong>JSON content</strong></p> <p>The original dataset was cut into multiple JSON files in order to make its processing easier. DBpedia categories were extracted as RDF and aren't present in the JSON files.<br><br>There are two types of files in the input-json.zip file:</p> <ul> <li><strong>authors_[</strong>X<strong>].json</strong> - Which lists the authors names</li> <li><strong>ER_[</strong>X<strong>].json</strong> - Which lists the ERs and their related information.<br>That information contains: <ul> <li>their <em>title.</em></li> <li>their <em>description.</em></li> <li>their <em>language</em> (and <em>language_detected</em>, only the first one is used in the pipeline here).</li> <li>their <em>license.</em></li> <li>their <em>mimetype.</em></li> <li>the <em>authors.</em></li> <li>the <em>date</em> of creation of the resource.</li> <li>a <em>url</em> linking to the resource itself.</li> <li>the subjects (named <em>concepts</em>) associated with the resource. With the corresponding scores.</li> </ul> </li> </ul> <p> </p> <p>If you do use this dataset, you can cite the corresponding paper:</p> <ul> <li>Kieffer, M., Fakih, G. & Serrano-Alvarado, P. (2023). Evaluating Reification with Multi-valued Properties in a Knowledge Graph of Licensed Educational Resources. Semantics, Leipzig, Germany.</li> </ul>
Resource for teaching human genetics at the college level to combat harmful misconceptions
<p><span>How we teach human genetics matters for social equity. The biology curriculum appears to be a crucial locus of intervention for either reinforcing or undermining students' racial essentialist views. The Mendelian genetic models dominating textbooks, particularly in combination with racially inflected language sometimes used when teaching about monogenic disorders, can increase middle and high school students' racial essentialism and opposition to policies to increase equity. These findings are of particular concern given the increasing spread of racist misinformation online and misappropriation of human genomics research by white supremacists, who take advantage of low levels of genetics literacy in the general public. Encouragingly, however, teaching updated information about the geographic distribution of human genetic variation and the complex, multifactorial basis of most human traits, reduces students' endorsement of racial essentialism. The genetics curriculum is therefore a key tool in combating misinformation and scientific racism. Here, we describe a framework and example teaching materials for teaching students key concepts in genetics, human evolutionary history, and human phenotypic variation at the undergraduate level. This framework can be flexibly applied in biology and anthropology classes and adjusted based on time availability. Our goal is to provide college instructors with varying levels of expertise with a set of evidence-informed tools for teaching human genetics to combat scientific racism, including an evolving set of instructional resources, as well as learning goals and pedagogical approaches instructors can apply when teaching genetics. Additionally, we hope to generate conversation about integrating modern genetics into the undergraduate curriculum, in light of recent findings about the risks and opportunities associated with teaching genetics.</span></p>
Multiplier Event 7 (E7) : Citizen Science for Librarians: open access resources from a teaching/learning perspective
<p>Event: Piliečių mokslas bibliotekininkams: atvirosios prieigos ištekliai mokymo(si) perspektyvoje (Citizen Science for Librarians: open access resources from a<br>teaching/learning perspective)<br>Date: 24.05.2024<br>Language: Lithuanian<br>Target group: Lithuanian academic and public library staff</p> <p>LIBOCS Multiplier Event number 7 </p> <p>Objectives of the event:<br>1. present the open access collection of resources on citizen science (PR6A1)<br>2. to present Citizen Science toolkit for Librarians (PR6A2) and its potential or use in<br>teaching and learning<br>3. to demonstrate all the project results on Zenodo platform</p> <p><strong>Project acronym</strong>: LibOCS<br><strong>Full project title</strong>: University libraries strengthening the academia-society connection through citizen science in the Baltics</p> <p>This project is funded under the Erasmus+ KA2 Strategic Partnerships program. Project Number: 2021-1-EE01-KA220-HED-000031125</p>
Pilot Evaluation of AboutFace: Novel Peer Education Resource for Veterans
ClinicalTrials.gov study NCT02486692. IPD Sharing: NO. Countries: 1. Publications: 3.
Intermountain Stewardship in Community Outpatient Settings-Resources & Engagement-Pediatrics
ClinicalTrials.gov study NCT07334795. IPD Sharing: NO. Countries: 0. Publications: 0.
3D-Transition: Challenges and Resources of Children and Their Families During the Transition From Preschool to School
ClinicalTrials.gov study NCT04873518. IPD Sharing: YES. Countries: 1. Publications: 3.
Strengths to Grow - Preteen: An Online Parenting Resource
ClinicalTrials.gov study NCT05582057. IPD Sharing: NO. Countries: 1. Publications: 6.
Telemedicine Strategy With Home Treatment Save Resources
ClinicalTrials.gov study NCT02214017. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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.