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5,530 results for “informal”
SGS-LTER GIS layer with detailed information on Fences on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
SGS-LTER GIS layer with detailed information on Lakes on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
SGS-LTER GIS layer with detailed information on Landforms on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
SGS-LTER GIS layer with detailed information on Exclosures on Central Plains Experimental Range, Nunn, Colorado, USA 2012
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available
Minirhizotron frame information from Fertilization Experiment, Hog Island, VA, 1992
Minirhizotron data from fertilization experiment. On 36-year old dune ridge on Hog Island. This data file lists sampled frames in each of the minirhizotron tubes. The file also lists the section that each frame is associated with. This file is to be used in conjunction with hog.asc in dataset VCR03094.
Ecore version of the meta-model for information dashboards (v2)
<p>The dashboard metamodel is a M2-model instantiated from Ecore, a M3-model in the four-layer metamodel architecture of OMG. This version includes the addition of a task taxonomy and a goal taxonomy for information visualization.</p>
Process Mining from Information-SeekingConversations
<p>This deposit contains the results from the paper "Process Mining from Information-Seeking Conversations" submitted to WCCI 2020. The results are in .xes format, and ready to be analyzed in a process mining tool. </p>
Supporting information for IUCr survey on raw data archival and reuse in chemical crystallography
<p>Supporting information i.e. questions, responses and raw data, relating to a study into raw data management and availability in small molecule crystallography conducted under the auspices of the International Union of Crystallography Committee on Data.</p> <p>It is now common to deposit structure factors when publishing, which means that the small molecule crystallography community caters very well for routine structures. However this is generally only the case if everything in a raw image is fully and/or properly accounted for and the model is correct or appropriate. So for example, in some cases raw data may no longer be required, while in others it may be necessary to validate or ‘do better’ in the future. Moreover there are increasing pressures from bodies e.g. funders to make the data relating to research outputs Findable, Accessible, Interoperable and Reusable (FAIR). In acknowledgement of this situation and in order to begin addressing it, IUCr Journals now facilitate access to and citation of large raw diffraction datasets in its articles. Therefore it is important for our community understand and define how we manage our raw data in this respect.</p> <p>As Members of the IUCr Committee on Data we see the need to conduct this survey about exploring raw data archival<br> practice and gathering opinions as to if/how raw data could/should be used if it were to be made more widely<br> available.</p>
Artifacts related to "Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"
<p>This archive contains data related to in the following paper:</p> <p>"Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"</p> <p>(published at the ACM MMSys 2020 conference)</p> <p>Copyright (c) 2020, Theresa Enghardt <theresa@tenghardt.net>, Fachgebiet INET - TU Berlin.</p> <p><br> See https://github.com/fg-inet/MMSys2020_Informed-Access-Network-Selection for more information.</p> <p>This data is released under the Creative Commons Attribution 4.0 International license.</p>
Information System for Cycling Navigation Database - Aveiro, Portugal
<p>This data was collected within the scope of a master's thesis in mechanical engineering from University of Aveiro, Portugal. The goal was to develop a information system for cycling navigation for an urban area of the portuguese city of Aveiro. Therefore, data collection was achieved through an instrumented alluminium bicycle equipped with a 1) GNSS Data Logger, 2) wireless heart rate recorder device and 3) video camera. 120 km were covered to collect 8h of video and about 100000 second by second data points, which were analyzed and organized through an 449 link-map built in ArcGIS. Seven different bikeability indicators were built: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emissions hotspots of two pollutants (CO2 and NOx).</p> <p>This dataset is divided into three sections:</p> <ol> <li>Final Attributes - all the collected and treated data of each link, both used in the indicators and in another set for system' network analysis;</li> <li>Attributes Statistics - reveals some statistics of the weighted final atrributes achieved, such as mean, standard error, standard deviation, range, confidence level, among others;</li> <li>Link Type Statistics - reveals the distribution of the different link-types along the map and the respective average speeds recorded. </li> </ol>
Information System for Cycling Navigation for Aveiro, Portugal - Database and ArcGIS Graph
<p>This data was collected within the scope of a master's thesis in mechanical engineering from University of Aveiro, Portugal. The goal was to develop a information system for cycling navigation for an urban area of the portuguese city of Aveiro. Therefore, data collection was achieved through an instrumented alluminium bicycle equipped with a 1) GNSS Data Logger, 2) wireless heart rate recorder device and 3) video camera. 120 km were covered to collect 8h of video and about 100000 second by second data points, which were analyzed and organized through an 449 link-map built in ArcGIS. Seven different bikeability indicators were built: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emissions hotspots of two pollutants (CO2 and NOx).</p> <p>The spreadsheet dataset is divided into three sections:</p> <ol> <li>Final Attributes - all the collected and treated data of each link, both used in the indicators and in another set for system' network analysis;</li> <li>Attributes Statistics - reveals some statistics of the weighted final atrributes achieved, such as mean, standard error, standard deviation, range, confidence level, among others;</li> <li>Link Type Statistics - reveals the distribution of the different link-types along the map and the respective average speeds recorded.</li> </ol> <p>In order to associate the FID numbers with the respective links, the developed ArcGIS graph was also made available. </p>
Supplementary Information for Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS
<p>Supplementary information for<br> Páll, S., Zhmurov, A., Bauer, P., Abraham, M., Lundborg, M., Gray, A., Hess, B, & Lindahl, E.. (2020). Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS. The Journal of Chemical Physics, 2020</p> <p>Contains benchmark methodology description as well as all inputs used in the application performance benchmarks included the paper.</p>
Data from: Zebrafish retinal ganglion cells asymmetrically encode spectral and temporal information across visual space
<p>In vertebrate vision, the tetrachromatic larval zebrafish permits non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during ongoing behaviour. However, despite a perhaps unparalleled understanding of links between zebrafish brain circuits and visual behaviours, comparatively little is known about what their eyes send to the brain via retinal ganglion cells (RGCs). Major gaps in knowledge include any information on spectral coding, and information on potentially critical variations in RGC properties across the retinal surface corresponding with asymmetries in the statistics of natural visual space and behavioural demands. Here, we use in vivo two photon (2P) imaging during hyperspectral visual stimulation as well as photolabeling of RGCs to provide a functional and anatomical census of RGCs in larval zebrafish. We find that RGCs' functional and structural properties differ across the eye and include a notable population of UV-responsive On-sustained RGCs that are only found in the acute zone, likely to support visual prey capture of UV-bright zooplankton. Next, approximately half of RGCs display diverse forms of colour opponency including many that are driven by a pervasive and slow blue-Off system - far in excess of what would be required to satisfy traditional models of colour vision. In addition, most information on spectral contrast was intermixed with temporal information. Taken together, our results suggest that zebrafish RGCs send a diverse and highly regionalised time-colour code to the brain.</p>
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets)
<p>This dataset contains all the runs, pools, plots and analyses to reproduce the results presented in the paper: "Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval ", 2020.</p>
Supplementary materials for Arzi et al 2012: Humans can learn new information during sleep
<p>Supplementary materials for Arzi et al 2012: Humans can learn new information during sleep:</p> <p> </p> <p>Arzi, A., Shedlesky, L., Ben-Shaul, M. <em>et al.</em> Humans can learn new information during sleep. <em>Nat Neurosci</em> <strong>15, </strong>1460–1465 (2012). https://doi.org/10.1038/nn.3193</p>
Supporting information for a rapid gamma-ray flux reduction paper
<p>Supporting data and information needed to reproduce the described in the paper results and conclusions.</p>
Data from: Use of web-based species occurrence information systems by academics and government professionals
<p>Web-based information systems designed to increase access to species occurrence data for use in research and natural resource decision-making have become more prevalent over the past few decades. The effectiveness of these systems depends on their usability and extent of use by their intended audiences. We conducted an online survey of academics and government professionals in the United States to compare their species occurrence data needs and their perceptions and use of web-based species occurrence information systems. Our results indicate that although views and perceptions held by academics and government professionals about the importance, usefulness, and ease of use of these information systems tend to be similar, there were differences in their use of species occurrence data and web-based species occurrence information systems. The baseline information obtained in this study will help inform future directions for improvements in species occurrence information systems.</p>
Figure 18 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 18. Distribution map: Phanerotoma decticauda Zettel, grey circle, incl. holotype.
Figure 17 in New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the 'Bush Blitz' surveys of national reserves
Figure 17. Distribution map: Phanerotoma behriae Zettel, grey circle, incl. holotype.
Data from: Ultraconserved yet informative for species delimitation: UCEs resolve long-standing systematic enigma in Central European bees
Accurate and testable species delimitation hypotheses are essential for measuring, surveying and managing biodiversity. Today, taxonomists often rely on mitochondrial DNA barcoding to complement morphological species delimitations. Although COI barcoding has largely proven successful in assisting identifications for most animal taxa, there are nevertheless numerous cases where mitochondrial barcodes do not necessarily reflect the species history. For instance, what is regarded as one single species can be associated with two distinct DNA barcodes, which can point either to cryptic diversity or to deep within-species mitochondrial divergences with no reproductive isolation. In contrast, two or more species can share barcodes, for instance due to mitochondrial introgression. These intrinsic limitations of mitochondrial DNA barcoding can only be addressed with nuclear genomic markers, which are expensive, labour intensive, poorly repeatable, and often require high-quality DNA. To overcome these limitations, we examined the use of ultraconserved nuclear genetic elements (UCEs) as a quick and robust genomic approach to address such problematic cases of species delimitation. This genomic method was assessed using six different bee species complexes suspected to harbour cryptic diversity, mitochondrial introgression, or mitochondrial paraphyly. The sequencing of UCEs recovered between 686 and 1860 homologous nuclear loci and provided explicit species delimitation hypotheses in all investigated species complexes. These results provide strong evidence for the suitability of UCEs as a fast method for species delimitation even in recently diverged lineages. Furthermore, this study provided the first conclusive evidence for both mitochondrial introgression among distinct species, and mitochondrial paraphyly within a single bee species.
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.