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172 results for “state of research”
Improving anxiety research novel approach to reveal trait anxiety through summary measures of multiple states - raw count data set - RNAseq
<p>Raw count data of the RNAseq analysis of a project and manuscript under the title "Improving anxiety research novel approach to reveal trait anxiety through summary measures of multiple states". The header of the table includes the subject identifiers except the first column "genes". The latter column includes all assessed gene identifiers.</p>
Research data supporting "Observation of a Topological Edge State Stabilized by Dissipation"
<div> <p>This repository contains the data presented in the manuscript titled "Observation of a Topological Edge State Stabilized by Dissipation" by H. Wetter et al., Phys. Rev. Lett. 131, 083801 (2023). The files contain the final data sets relevant to reproduce all plots shown in the paper. Data types are CSV, TIF, SVG, TXT, PNG. No licensed software is required for opening and reading the files.</p> </div>
Desk research of 107 case studies on state-of-the-art of cultural tourism interventions
<p>The aim of Work Package 3 of the SmartCulTour project (<a href="http://www.smartcultour.eu">www.smartcultour.eu</a>) is to provide a state-of-the-art overview of cultural tourism interventions implemented in European cities and regions, thereby identifying best practices and the impacts and success conditions of cultural tourism interventions. To this end, the consortium identified 107 interesting cultural tourism interventions throughout Europe, with a <strong>geographical coverage</strong> of: Belgium (9), Italy (8), The Netherlands (8), Serbia (7), Romania (6), Croatia (5), Hungary (4), Portugal (4), Spain (4), United Kingdom (4), Finland (3), France (3), Sweden (3), Other countries (24), Multiple countries (15). The "Overview and taxonomy of 107 interventions" lists every intervention that was studied, as well as their respective classification given, based on the description and objective of the intervention. Within this table, a value of "1" is its primary categorization, with a value of "2" assigned to a secondary taxonomy. Each intervention can have multiple purposes and therefore belong to different categories.The taxonomy of cultural tourism interventions is further described in "State of the art of cultural tourism interventions" (DOI: 10.5281/zenodo.5270321).</p> <p>The 107 cultural tourism interventions were analyzed via desk research only during the period September 2020-January 2021, based on available secondary data and following a standardized <strong>data collection form</strong>. This form is included here as "Internal data collection form used for analysis". The forms collect data on:</p> <ul> <li>Context and background information;</li> <li>The 'reason why' of the intervention;</li> <li>The intervention;</li> <li>Resources and tools necessary to design and implement the interventions;</li> <li>Impacts (expected, perceived and measured);</li> <li>(Perceived) success conditions and limiting factors.</li> </ul> <p>The zip-file "Internal forms of 107 interventions" contains all 107 completed data collection forms.</p> <p> </p>
Map of ecological sites and ecological states for pastures 1, 4, 14, and 15 on the Chihuahuan Desert Rangeland Research Center, New Mexico
This data package includes an ArcMap geodatabase for the Chihuahuan Desert Rangeland Research Center (CDRRC) pastures 1, 4, 14, and 15: one polygon feature class, one point feature class, associated attribute tables and metadata. The spatial data, CDRRC1_4_14_15_StateMap_v1.gdb.zip, represents the ecological sites and states on Pastures 1, 4, 14 and 15 on the Chihuahuan Desert Rangeland Research Center, and includes field traverse data. CDRRC1_4_14_15_StateMapMetadata.pdf and TraversePointsMetadata.pdf contain the geospatial metadata provided by ArcMap. CDRRC1_4_14_15_StateMap_v1.csv is the attribute table associated with the state map’s polygon feature class, and TraversePoints.xlsx is the attribute table associated with the traverse points feature class and includes a sheet containing detailed attribute metadata.
Highlights from 10+ years of lichenological research in Great Smoky Mountains National Park: celebrating the United States National Park Service Centennial
<p>Great Smoky Mountains National Park is renowned as one of the most biologically diverse tracts of land in North America and is the most visited national park in the United States. The park comprises ∼830 square miles, epitomizes eastern temperate hardwood forests of North America, and serves as a refuge for nearly 20,000 documented species from microbes to plants and mammals. Lichens comprise one particularly diverse group of organisms in the park. In this study, we review data from our 11 years of lichenological research in Great Smoky Mountains National Park. Based on approximately 6,000 new field collections generated, the park checklist now includes 920 species, a 129% increase over estimates made two decades ago. Nearly a quarter of the lichens reported in the park are known from only a single occurence whereas only 7% of the lichens are known from 20 or more occurences. An assessment of commonness/rarity for all 920 species indicates that nearly half of the park's lichens should be considered to be infrequent, rare, or exceptionally rare. We assessed the distributions of all 920 species and found that 54 are endemic to the southeastern United States, 30 are endemic to the southern Appalachians, and eight occur nowhere else than within the confines of the national park. We discuss biogeographical affinities of the park's lichen biota as a whole, delimiting six regional "floristic" connections. Our 11 years of research have resulted in the discovery of several species presumed to be extinct or near-extinct. We make one new combination (<em><strong>Fuscopannaria frullaniae</strong></em>) and describe five species as new to science, each commemorating National Park Service staff instrumental to the completion of the study: <em><strong>Heterodermia langdoniana</strong></em>, <em><strong>Lecanora darlingiae</strong></em>, <em><strong>Lecanora sachsiana</strong></em>, <em><strong>Leprocaulon nicholsiae,</strong></em> and <em><strong>Pertusaria superiana</strong></em>.</p>
MongoDB database dump for the analysis of the current sustainability state of research software
<p>This data set is the MongoDB dump (bson files) of the data created and analyzed with the rsps framework. In the first step, a research subject is assigned to the research software repositories. Afterwards, the current sustainability state is evaluated. The data set comprises the following six bson files:</p> <p><strong>repositories: </strong>metadata, received from the GitHub REST API, for repositories containing the search terms "doi+10" or "doi+10+in:readme", additional information are the request date, the contained search term, and the repository hosting service, in this case for all repositories "github". For repositories the Readme files are available.</p> <p><strong>publications:</strong> metadata of publications, published on arXiv and ACM, that contain the search term "github.com".</p> <p><strong>rs_repositories:</strong> research software candidates containing a DOI or that are referenced by the publications contained in the publications data set.</p> <p><strong>rs_artifacts: </strong>research software artifacts that are referenced in the harvested GitHub repositories by a DOI and the harvested publications.</p> <p><strong>publication_subjects:</strong> All Science Journal Classification (ASJC) of Scopus combined with the Scopus source list and Scopus book title list (https://www.scopus.com/home.uri)</p> <p><strong>arxiv_subjects:</strong> arXiv taxonomy complemented with the ASJC research subject.</p> <p> </p>
Literature Search from SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks
<p>SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks (<a title="SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks" href="../doi/10.5281/zenodo.10066374">https://zenodo.org/doi/10.5281/zenodo.10066374</a>) included a State-of-the-Art on existing literature and recommendations related to research career frameworks (RCFs) and focusing on recruitment and working conditions for researchers, career development and progression for researchers, and interinstitutional (between academic institutions), intersectoral (across sectors), and international (across countries) mobility.</p> <p>The literature review data for is available as:</p> <ul> <li>an online library on Zotero - <a href="https://www.zotero.org/groups/5436703/secure_project_library/library">https://www.zotero.org/groups/5436703/secure_project_library/library</a></li> <li>Microsoft Excel files (xlsx) and</li> <li>CSV (comma-separated values) files.</li> </ul> <p>The selected literature is separated into the following headings:</p> <ul> <li>Career Development and Progression for Researchers</li> <li>Interinstitutional, Intersectoral, and International Mobility</li> <li>Recruitment and Employment Conditions for Researchers</li> <li>Research Career Frameworks</li> </ul>
Рис. 2. ПяΑеницы (Geometridae) Ботчинского заповеΑника: A — Ourapteryx maculicaudaria, самка; B — Charissa remmi, самка; C — Charissa creperaria, самка; D — Macaria wauaria, самец. ШкаΛа поΑ бабочками — 10 мм. Figs 2. Geometrid moths (Geometridae) of the Botchinsky Reserve: A — Ourapteryx maculicaudaria, female; B — Charissa remmi, female; C — Charissa creperaria, female; D — Macaria wauaria, male. The scale under the moths — 10 mm in Fauna of the geometrid moths (Lepidoptera, Geometridae) of the eastern Sikhote-Alin in the area of the Botchinsky State Nature Reserve I: History of research and subfamilies Archiearinae, Ennominae, Desmobathrinae, and Geometrinae
Рис. 2. ПяΑеницы (Geometridae) Ботчинского заповеΑника: A — Ourapteryx maculicaudaria, самка; B — Charissa remmi, самка; C — Charissa creperaria, самка; D — Macaria wauaria, самец. ШкаΛа поΑ бабочками — 10 мм. Figs 2. Geometrid moths (Geometridae) of the Botchinsky Reserve: A — Ourapteryx maculicaudaria, female; B — Charissa remmi, female; C — Charissa creperaria, female; D — Macaria wauaria, male. The scale under the moths — 10 mm
Рис. 1. Пункты сбора материаΛов в районе Ботчинского заповеΑника. Пункты сбора обозначены красными кружками, наибоΛее крупный из которых соответствует основному месту сбора — корΑону «ТепΛый КΛюч». Номера пунктов сбора соответствуют номерам в тексте при их описании. БΛизко распоΛоженные пункты сборов показаны оΑним симвоΛом Fig. 1. Points of collection of materials in the area of the Botchinsky Nature Reserve. Collection points are marked with red circles, the largest of which corresponds to the main collection point — the cordon "Teply Klyuch". The collection point numbers correspond to the numbers in the text when they are described. Closely located collection points are shown with one symbol in Fauna of the geometrid moths (Lepidoptera, Geometridae) of the eastern Sikhote-Alin in the area of the Botchinsky State Nature Reserve I: History of research and subfamilies Archiearinae, Ennominae, Desmobathrinae, and Geometrinae
Рис. 1. Пункты сбора материаΛов в районе Ботчинского заповеΑника. Пункты сбора обозначены красными кружками, наибоΛее крупный из которых соответствует основному месту сбора — корΑону «ТепΛый КΛюч». Номера пунктов сбора соответствуют номерам в тексте при их описании. БΛизко распоΛоженные пункты сборов показаны оΑним симвоΛом Fig. 1. Points of collection of materials in the area of the Botchinsky Nature Reserve. Collection points are marked with red circles, the largest of which corresponds to the main collection point — the cordon "Teply Klyuch". The collection point numbers correspond to the numbers in the text when they are described. Closely located collection points are shown with one symbol
Replication package for "Evolution of statistical analysis in empirical software engineering research: Current state and steps forward"
<p>This is the replication package for the analysis done in the paper "Evolution of statistical analysis in empirical software engineering research: Current state and steps forward" (DOI: <a href="https://doi.org/10.1016/j.jss.2019.07.002">https://doi.org/10.1016/j.jss.2019.07.002</a>, preprint: <a href="https://arxiv.org/abs/1706.00933">https://arxiv.org/abs/1706.00933</a>).</p> <p>The package includes CSV files with data on statistical usage extracted from 5 journals in SE (EMSE, IST, JSS, TOSEM, TSE). The data was extracted from papers between 2001 - 2015. The package also contains forms, scripts and figures (generated using the scripts) used in the paper.</p> <p>The extraction tool mentioned in the paper is available in dockerhub via: <a href="https://hub.docker.com/r/robertfeldt/sept">https://hub.docker.com/r/robertfeldt/sept</a></p>
Linked collectors and determiners for: South Dakota State University, The Severin-McDaniel Insect Research Collection.
Natural history specimen data linked to collectors and determiners held within, "South Dakota State University, The Severin-McDaniel Insect Research Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/20bc0626-ebd6-4949-bf04-b80d960a6961">https://bionomia.net/dataset/20bc0626-ebd6-4949-bf04-b80d960a6961</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/20bc0626-ebd6-4949-bf04-b80d960a6961">https://gbif.org/dataset/20bc0626-ebd6-4949-bf04-b80d960a6961</a>. Formatted as a Frictionless Data package.
Structure of the complete review matrix developed in the context of the "Reviewing Computational Thinking in Compulsory Education: State of Play and Practices from the Field" research study
<p>This is the structure of the complete review matrix used to analyse in-depth <strong>98 selected publications from between 2016 and 2021 </strong>in the context of the "<a href="https://publications.jrc.ec.europa.eu/repository/handle/JRC128347">Reviewing Computational Thinking in Compulsory Education: State of Play and</a> <a href="https://publications.jrc.ec.europa.eu/repository/handle/JRC128347"> Practices from the Field</a>" research study. The <a href="https://computhink2study.eu/">study </a>was designed, funded, and followed by the European Commission’s Joint Research Centre (JRC) to investigate <strong>how Computational Thinking (CT) is currently positioned within compulsory school education in Europe’s various Member States, as well as outside the EU</strong>. The study was carried out from April to December 2021 by the Institute for Educational Technology of the Italian National Research Council (CNR-ITD), together with European Schoolnet (EUN) and Vilnius University (VU).</p>
Highlights from 10+ years of lichenological research in Great Smoky Mountains National Park: celebrating the United States National Park Service Centennial
Open the record for dataset details and reuse information.
Idealista Real State property research
<p>Property price research in Oviedo Asturias, carried out with Selenium and Python</p>
Figure 2. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 2. - Time line of the tasks in UNICORN-project
Figure 1. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 1. - Links and interactions between the work packages
Companion documents of the article entitled "State of the art of research towards sustainable power electronics" from the workgroup CEPPS, research group SEEDS, CNRS, France.
<p>These documents accompany the article "State of the art of research towards sustainable power electronics", produced by members of the CEPPS working group, part of the SEEDS research group. These documents include: a list of keywords for bibliographic queries; a list of articles extracted; a list of journals, conferences and key players in the field; and a review of indicators.</p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Interviews from field research in Rio de Janeiro State - Brazil
Open the record for dataset details and reuse information.
Data from: A virtual near-peer mentorship research program focused on healthcare disparities in the United States of America
Open the record for dataset details and reuse information.
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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.