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4,669 results for “Environment;”

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zenodo36/100

Dataset for Paul et al., "Trace metals in coastal marine sediments: Natural and anthropogenic sources, correlation matrices, and proxy potentials", Science of The Total Environment (STOTEN-175789, 2024)

<p>The datafile (.xlsx format) contains the solid phase data for all study sites presented in the associated STOTEN publication <a href="https://doi.org/10.1016/j.scitotenv.2024.175789" target="_blank" rel="noopener">(10.1016/j.scitotenv.2024.175789)</a></p> <ol> <li>specifics on the ICP-MS and ICP-OES analysis</li> <li>solid-phase data (Pb, Cd, Cu, Zn, Sb, Sn, Ni, As, Tl, V, Mo, U, Re, TOC, S, Fe, Mn, and Al)</li> <li>coefficient of variation test results (as a basis for evaluating the applicability of data normalizations to the data; i.e. calculation of Enrichment Factors, cf. method section of the original publication)</li> </ol> <p>Please note that the title of the paper and the publication number has changed upon final publication. The Excel file description still refers to the original manuscript number and title "Trace metals in coastal marine sediments: anthropogenic sources, correlation patterns, and proxy potentials".</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Comparison of State-of-the-Art Reactive Auto-Scaler in 3 Different Environments

<p>We investigate the hypothesis &quot;The scaling behavior of a standard, reactive, CPU utilization-rule-based auto-scaler depends on the environment&quot;. Hence, we implement such an auto-scaler for scaling a CPU-intensive application as a benchmark in three different environments: (i) a private Cloud, (ii) AWS EC2 and (iii) IaaS cloud of the Distributed ASCI Supercomputer 4 (DAS-4).</p>

opencc-by-4.0Feb 2018View details →
zenodo36/100

CATCH-EyoU: Representation of the EU and Youth Active EU Citizenship in the Media Environment: Collected Media: UK

<p>The dataset consists of 348 online news stories from two UK online newspapers (Daily Mail and Evening Standard) during four specific periods of time<strong> </strong>[Period 1: May 7th &ndash; May 21th 2014 / Period 2: September 16th &ndash; September 30th 2014 / Period 3:&nbsp; May 7th &ndash; May 21th 2015&nbsp; / Period 4: September 16th &ndash; September 30th 2015].</p> <p>&nbsp;</p> <p>The aim of the generated dataset is to identify within the UK media products selected the presence or absence of EU values and identities, for example regarding euro-skeptical and/or pro EU arguments, and their relation to young people.</p> <p>&nbsp;</p> <p>The dataset builds on existing media discourse analyses of European issues and young people in the UK media by highlighting contemporary media-based conceptualizations of Europe and young people from both a news and cultural perspective, in the context of a political and social climate where European identity is deeply contested, and where the global migration effects of regional conflicts have also challenged understandings of and claims to European citizenship.&nbsp;</p>

opencc-by-nc-4.0Mar 2018View details →
zenodo36/100

Adaptive Computer Vision-Based 2D Tracking of Workers in Complex Environments

<p>Data set used for testing the efficiency of a vision-based tracking method&nbsp;on tracking construction workers.&nbsp;</p>

opencc-by-4.0Dec 2017View details →
zenodo36/100

Dataset for "Using Adaptive Immersive Environments to Stimulate Emotional Expression and Connection in Dementia Care: Insights from User Perspectives towards SENSE-GARDEN"

<p>This dataset contains all qualitative interview data recorded from early stage research on an adaptive, immersive, multi-sensory intervention that is being developed for&nbsp;people living with dementia (SENSE-GARDEN).&nbsp;52 semi-structured&nbsp;interviews were conducted with people living with mild cognitive impairment, informal caregivers, and professional caregivers across Belgium, Norway, Portugal, and Romania. The aim of these interviews was to collect initial user responses towards SENSE-GARDEN.&nbsp;</p> <p>The pdf file &quot;Registration Sheet and Interview Questions&quot; lists the questions that were asked during the interviews. The excel file &quot;Interview Data with Thematic Analysis&quot; contains all raw interview data with ideas, notes, and codes made during thematic analysis. The first three sheets in the file correspond to the user type (Person with mild cognitive impairment/Informal Caregiver/Professional Caregiver). The fourth sheet, &quot;Overall themes&quot;, gives an overview of each theme, subtheme, and relevant quotes belonging to these themes.&nbsp;</p> <p>This research was conducted as part of a larger project. The SENSE-GARDEN project (AAL/Call2016/054-b/2017, implementation period June 2017 - May 2020) is funded by AAL Programme,&nbsp;co-funded by the European Commission and National Funding Authorities of Norway, Belgium, Romania, and Portugal.&nbsp;</p>

opencc-by-4.0May 2018View details →
zenodo36/100

VoiceHome-2 corpus : A corpus dedicated to distant-microphone speech processing in domestic environments

<p><strong>Purpose: </strong></p> <p>This corpus includes reverberated, noisy speech signals spoken by 12 native French talkers in 4 houses (3 rooms per house) and recorded by an 8-microphone device at various angles and distances and in various noise conditions.</p> <p>This corpus stands apart from other corpora in the field by the number of rooms and homes considered by the diversity of acoustic conditions recorded and by the facts that it is publicly available at no cost.</p> <p><strong>Other materials:</strong></p> <ul> <li>Article : N. Bertin, E. Camberlein, R. Lebarbenchon, E. Vincent, S. Sivasankaran, I. Illina and F. Bimbot: <a href="https://hal.inria.fr/hal-01923108"><strong>VoiceHome-2, an extended corpus for multichannel speech processing in real homes</strong></a>, <em>Speech Communication</em>, Elsevier : North-Holland, 2019, 106, pp.68-78. <a href="https://dx.doi.org/10.1016/j.specom.2018.11.002">&lang;10.1016/j.specom.2018.11.002&rang;</a>.</li> <li>Code baseline to reproduce article&#39;s results: <ul> <li><a href="https://hal.inria.fr/hal-02963528">Localization and speech enhancement</a></li> <li><a href="https://doi.org/10.5281/zenodo.4079314">Acoustic models</a> and <a href="https://hal.inria.fr/hal-02963802">recognition scripts</a> for automatic speech recognition</li> </ul> </li> <li>Related software to execute the baseline: <ul> <li><a href="https://gitlab.inria.fr/bass-db/mbss_locate">MBSS Locate (v2.0)</a></li> <li><a href="https://gitlab.inria.fr/bass-db/fasst">FASST</a></li> </ul> </li> </ul> <p><strong>Documentation:</strong></p> <p>The corpus documentation is both available into the archive and hereafter by clicking on voiceHome-2_corpus_v1.0_documentation.pdf .</p> <p><strong>Terms of use</strong></p> <p>You may exploit the corpus for a non-commercial scientific purpose provided you mention it in any written work or software you derive from its use. Within a published article, paper or report, the corpus must appear in the bibliographical references.</p> <p><strong>Speaker records diffusion consent</strong></p> <p>All participants have given an informed and signed consent about public diffusion of recorded sentences.</p> <p><strong>Contact:</strong></p> <p>nancy [dot] bertin [at] irisa [dot] fr</p>

opencc-by-nc-sa-4.0May 2018View details →
zenodo36/100

Development of a specific PCR to detect thiocyanate-oxidizing Thioalkalivibrio strains in their environment

<p>Data repository for my thesis named &#39;Development of a specific PCR to detect thiocyanate-oxidizing <em>Thioalkalivibrio</em> strains in their environment&#39; at the University of Amsterdam. The folder consists of 2 subfolders, namely&nbsp;the alignment, in both AA and NA forms, of the TcDH-sequences of the 10 Thioalkalivibrio strains, shown in <em>Figure 21</em>&nbsp;(1) and&nbsp;the alignment of the TcDH-sequences and names of the organisms used while making the phylogenetic tree of <em>Figure 2</em> (2).</p>

opencc-by-4.0Jun 2018View details →
zenodo36/100

voiceHome corpus: A corpus dedicated to distant-microphone speech processing in domestic environments

<p><strong>Purpose: </strong></p> <p>This corpus includes reverberated, noisy speech signals spoken by native French talkers in a lounge and recorded by an 8-microphone device at various angles and distances and in various noise conditions.</p> <p>Room impulse responses and noise-only signals recorded in various real rooms and homes and baseline speaker localization and enhancement software are also provided.</p> <p>This corpus stands apart from other corpora in the field by the number of rooms and homes considered and by the fact that it is publicly available at no cost.</p> <p>&nbsp;</p> <p><strong>Other materials:</strong></p> <ul> <li>Article: N. Bertin, E. Camberlein, E. Vincent, R. Lebarbenchon, S. Peillon, E. Lamand&eacute;, S. Sivasankaran, F. Bimbot, I. Illina, A. Tom, S. Fleury and E. Jamet: <a href="https://hal.inria.fr/hal-01343060"><strong>A French corpus for distant-microphone speech processing in real homes</strong></a>, Interspeech2016, Sep 2016, San Francisco, United States, 2016.</li> <li>Related software to reproduce article&#39;s results: <ul> <li><a href="https://gitlab.inria.fr/bass-db/mbss_locate">Multi-Channel BSS Locate (v1.3)</a></li> <li><a href="https://gitlab.inria.fr/bass-db/fasst">FASST (v2.2.1)</a></li> </ul> </li> </ul> <p><strong>Documentation (in french):</strong></p> <p>The corpus documentation is both available into the archive and hereafter by clicking on voiceHome_corpus_french_documentation_v1.2.pdf .</p> <p><strong>Terms of use</strong></p> <p>You may exploit the corpus for a non-commercial scientific purpose provided you mention it in any written work or software you derive from its use. Within a published article, paper or report, the corpus must appear in the bibliographical references.</p> <p><strong>Speaker records diffusion consent</strong></p> <p>All participants have given an informed and signed consent about public diffusion of recorded sentences.</p> <p><strong>New corpus version available : voiceHome-2 corpus</strong></p> <p>A new version of the corpus is available : <a href="https://doi.org/10.5281/zenodo.1252143"><strong>voiceHome-2 corpus web page</strong></a></p> <p>&nbsp;</p>

opencc-by-nc-sa-4.0Jul 2018View details →
zenodo36/100

Associated raw data to the publication: An accurate and efficient camera-based indoor positioning approach for intralogistic environments (MHCL 2015)

<p>This is a test data set for marker-based augmented reality algorithms used to locate ground conveyors in an industrial environment. It was recorded in the testing area of the chair fml at TUM to develop and evaluate algorithms for locating forklift trucks in the publication &quot;An accurate and efficient camera-based indoor positioning approach for intralogistic environments&quot; at MHCL 2015 conference (see https://mediatum.ub.tum.de/1286589 and http://www.fml.mw.tum.de/fml/images/Publikationen/MHCL_2015_jung_submitted.pdf). Originally these files were recorded and used as uncompressed 8-bit grayscale bitmaps. The images were losslessly compressed to png files in order to reduce the test set file size (by approx. factor 3.5)</p>

opencc-by-nc-sa-4.0Aug 2018View details →
zenodo36/100

Global Marine Environment Dataset (GMED)

<p>The Global Marine Environment Datasets (GMED) is a compilation of publicly available climatic, biological and geophysical environmental layers featuring present, past and future environmental conditions. GMED covers the widest available range of environmental layers from a variety of sources and depths from the surface to the deepest part of the ocean. It has a uniform spatial extent, high-resolution land mask (to eliminate land areas in the marine regions), and high spatial resolution (5 arc-minute, c. 9.2 km near equator). The free online availability of GMED enables rapid map overlay of species of interest (e.g. endangered or invasive) against different environmental conditions of the past, present and the future, and expedites mapping distribution ranges of species using popular SDM algorithms.&nbsp;This archive features a snapshot of GMED dataset in 2018 as a single archive which is associated with the Earth Systems Data Science Manuscript.</p>

opencc-by-nc-4.0Dec 2017View details →
zenodo36/100

Table with results of differential gene expression analysis in the controlled environment for fin tissues.

<p>Differences between transcriptomes of three Cottus fish lineages were assessed under controlled, laboratory conditions. Two tissues were investigated: fins and livers. Present table shows results of the differential gene expression analysis performed on fin tissues of Cottus fish. Base-mean, Log-2-fold change. standard error, statistics and associated p-values and FDR-corrected p-values are given for every contrast possible in our experimental design.</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Table with results of differential gene expression analysis in the controlled environment for liver tissues.

<p>Differences between transcriptomes of three Cottus fish lineages were assessed under controlled, laboratory conditions. Two tissues were investigated: fins and livers. Present table shows results of the differential gene expression analysis performed on liver tissues of Cottus fish. Base-mean, Log-2-fold change. standard error, statistics and associated p-values and FDR-corrected p-values are given for every contrast possible in our experimental design.</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Raw Experimental Data for work presented in 'Optimally diverse communication channels in disordered environments with tuned randomness'

<p>This is the raw experimental data for the work presented in &#39;Optimally diverse communication channels in disordered environments with tuned randomness&#39;, published in Nature Electronics.</p> <p>&nbsp;</p> <p><a href="https://doi.org/10.1038/s41928-018-0190-1">https://doi.org/10.1038/s41928-018-0190-1</a>&nbsp;</p> <p>&nbsp;</p> <p>See the README file&nbsp;for an explanation of the data.</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

SINS database - Node 1 - Daily activities in a home environment recorded using a Acoustic Sensor Network

<p>The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br> <br> To obtain more information on the database please visit <a href="https://kuleuvenadvise.github.io/SINS_database/">this website</a>&nbsp;and read the published paper.<br> <strong>Please read to license file (available in this repository) before using the database.</strong><br> <br> When using this database you should <strong>cite the following paper</strong>:<br> Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32&ndash;36, November 2017.</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Biographische Informationssysteme (DPBs, Digital Knowledge Databases, Virtual Research Environments)

<p>The table is an overview of database and online systems to manage/publish prosopographical and biographical data.&nbsp;</p>

openmit-licenseMar 2019View details →
zenodo36/100

Replication Kit for the Paper "Alternative Interaction Methods for VR Environments with Leap Motion" submitted to UIST 2019

<p>This file contains the replication kit for the paper &quot;Alternative Interaction Methods for VR Environments with Leap Motion&quot; submitted to the &quot;32nd ACM User Interface Software and Technology Symposium (UIST 2019)&quot;. It consists of the Virtual Reality implemented for the case study of the paper as well as all introductory material for participants, measurements, and analysis scripts.</p>

opencc-by-4.0Apr 2019View details →
zenodo36/100

Data from: Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments? in Ecological Applicatios (2019)

<p>Species occurrence (0/1) and environmental data from research article &quot;Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments?&quot; in Ecological Applications (2019).&nbsp;</p> <p>Please see more details in the readme-file and the original article.&nbsp;</p>

opencc-by-4.0Apr 2019View details →
zenodo36/100

Sequencing data: Fungi, fire and insects: Protea infructescences as reservoirs for fungal biodiversity in fire-prone environments

<p>This is the dataset for a submitted manuscript entitled &quot;Fungi, fire and insects: <em>Protea</em> infructescences as reservoirs for fungal biodiversity in fire-prone environments&quot;.</p> <p>The upload contains all forward and reverse paired end .fastq files. The files are already demultiplexed. The metadata.xlsx file contains sample information, gps coordinates, etc.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

Supplement (interactive Excel reporting tool) to MAGIC Deliverable 5.6 'Report on Narratives behind Directives Protecting the Environment'

<p>Interactive Excel data sheets for four case studies&nbsp;(the Netherlands, France, Spain and European Union) illustrating&nbsp;the consequences of full and partial internalization of agricultural production (based on current levels of import and export) for biodiversity loss. These interactive Excel reporting tools&nbsp;are a supplement to:&nbsp;</p> <p>De Olde&nbsp;EM, Ripoll Bosch&nbsp;R, Kok&nbsp;A, De Boer&nbsp;IJM, Giampietro&nbsp;M and Guimaraes Pereira&nbsp;A (2019).&nbsp;Report on Narratives behind Directives Protecting the Environment (Revision).&nbsp; MAGIC (H2020&ndash;GA 689669) Project Deliverable 5.6. First version 30&nbsp;November 2018,&nbsp;revision&nbsp;30 June&nbsp;2019. Available online:&nbsp;<a href="https://magic-nexus.eu/documents/d56-report-narratives-behind-directives-protecting-environment">https://magic-nexus.eu/documents/d56-report-narratives-behind-directives-protecting-environment</a>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

Crown morphology in Norway spruce (Picea abies [Karst.] L.) as adaptation to mountainous environments is associated with single nucleotide polymorphisms (SNPs) in genes regulating seasonal growth rhythm

Trees growing at high altitude or latitude have to be adapted, amongst others, to the lower temperatures, a shorter vegetation period, heavier snow load and frost desiccation. Association between molecular genetic markers and climatic variables may provide evidence for the genetic control of climatic adaptation. With increasing genomic resources, several genes with importance to climatic adaptation are identified over a wide range of tree species. Commonly, circadian clock genes are linked to the adaptation to lower temperatures and especially to a shortened vegetation period, as they are regulating metabolic and phenological processes in the day-night shift and seasonal change. Potentially adaptive "candidate" genes associated with latitudinal and elevational gradients were identified in several Picea spp. Before molecular markers became available to study climatic adaptation, phenotypic traits measured in natural populations and/or common garden studies were used to search for their association with climate variables. In Norway spruce, the crown architecture is the most noticeable trait associated with altitude and the related environment. The mountainous narrow-crowned morphotype is characterised by superior resistance to snow breakage in regions with heavy snow fall. In total, the crown shape was assessed in 765 individual trees from mountainous regions in the Thuringian Forest, the Ore Mountains (Saxony) and Harz Mountains (Lower-Saxony/Saxony-Anhalt), and they were genotyped at 44 single nucleotide polymorphisms (SNPs) in 24 adaptive trait related candidate genes. Six SNPs in three genes, APETALA 2-like 3 (AP2L3), GIGANTEA (GI), and mitochondrial transcription termination factor (mTERF) were associated with variation in crown shape. GI has previously been identified in angiosperms and gymnosperms to be associated with temperature and growth cessation. Our results showed that crown morphology in Norway spruce is associated with genetic markers which are putatively involved in the complex process of genetic adaptation to climatic conditions at high altitudes.

opencc-zeroSep 2019View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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