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Dataset results
24 results for “Landscape Survey”
GraspOS landscape survey on Reforming Research Assessment
<p><span>This dataset is related to GraspOS Deliverable D2.1 "OS-aware RRA approaches landscape report" (<a title="https://zenodo.org/records/11098095" href="../records/11098095" target="_blank" rel="noreferrer noopener">https://zenodo.org/records/11098095</a>), Annex 1. GraspOS landscape survey on Reforming Research Assessment.</span></p>
GraspOS landscape survey for pilots
<p>This dataset is related to GraspOS Deliverable D2.1 "OS-aware RRA approaches landscape report" (<a title="https://zenodo.org/records/11098095" href="../records/11098095" target="_blank" rel="noreferrer noopener">https://zenodo.org/records/11098095</a>), Annex 4. The questionnaire for GraspOS landscape survey for pilots.</p>
NI4OS-Europe landscaping survey results
<p>The dataset includes 575 complete responses collected in the NI4OS-Europe landscaping survey between 21 October and 10 December 2019. The survey was run in the following countries: Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia.<br> The activity was coordinated in collaboration with the four regional EOSC projects (EOSC- Pillar, EOSC-Nordic, EOSC Synergy, ExPaNDS) and its results were used by the EOSC Landscape Working Group.</p> <p>The starting point for developing the survey was the questionnaire designed by the EOSC-Pillar project team, but Policy Mapping Survey by Regional Cooperation Council, EUA’s Open Access Survey and the FAIRsFAIR Policy and Practice Survey 2019 were also used. Some of the questions that were included had to be rephrased to adapt to regional stakeholders’ needs. NI4OS-Europe work package leaders suggested additional questions, some of which were included in the survey. The file NI4OS-Europe_survey_questions.ods contains all the questions from the survey mapped according to topics. For each question it is indicated whether it was adopted from an existing survey or was suggested by a NI4OS work package.</p> <p>Five questionnaires were defined – one for each stakeholder group identified by the NI4OS-Europe partners based on their role in the research ecosystem: FUND (research funders and policymakers), CREATE (universities, research institutes, etc.), SUPPORT (libraries, repositories, research infrastructures, etc.), CONSUME (organizations using research results in their work, e.g. SMEs) and FACILITATE (individuals and organizations involved in promoting the principles of open science). There were 82 questions in all questionnaires.</p> <p>LimeSurvey was used to collect responses. As some questions appeared across multiple surveys, the five questionnaires were merged into one survey with forking paths: after answering the preliminary questions, a respondent was redirected to the appropriate questionnaire.</p> <p>The survey collected 575 complete responses from 482 distinct entities in 15 countries. The incomplete responses have been removed from the dataset.</p> <p>****Dataset contents****<br> NI4OS-Europe_survey-results_2019_completed.ods, data file, survey responses, OpenDocument Spreadsheet (.ods) file generated in Apache OpenOffice Calc<br> NI4OS-Europe_survey_questions.ods, survey questions, OpenDocument Spreadsheet (.ods) file generated in Apache OpenOffice Calc<br> NI4OS-Europe_survey-questions.pdf, survey questions exported as a PDF file from LimeSurvey<br> NI4OS-Europe_survey-README.txt<br> The dataset was used to create visualizations on the NI4OS website: https://ni4os.eu/survey-results/<br> ****Dataset license****<br> The dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), <a href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</a></p>
Research data repository survey data (European Research Data Landscape study)
<p>Anonymised data of the research data repository survey for the European Research Data Landscape study.</p>
Data from the Swiss Open Data Repository Landscape survey
<p>This file collection is part of the ORD Landscape and Cost Analysis Project (DOI: 10.5281/zenodo.2643460), a study jointly commissioned by the SNSF and swissuniversities in 2018.</p> <p>Please cite this data collection as:<br> von der Heyde, M. (2019). Data from the Swiss Open Data Repository Landscape survey. Retrieved from https://doi.org/10.5281/zenodo.2643487</p> <p>Further information is given in the corresponding data paper:<br> von der Heyde, M. (2019). Open Data Landscape: Repository Usage of the Swiss Research Community: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643430</p> <p> </p> <p><strong>Contact</strong></p> <p>Swiss National Science Foundation (SNSF)</p> <p>Open Research Data Group</p> <p>E-mail: <a href="mailto:ord@snf.ch">ord@snf.ch</a></p> <p> </p> <p>swissuniversities</p> <p>Program "Scientific Information"</p> <p>Gabi Schneider</p> <p>E-Mail: <a href="mailto:isci@swissuniversities.ch">isci@swissuniversities.ch</a></p>
Survey of aesthetic quality of landscapes in Spain
<p>Survey carried out in Spain with 412 people for a research study for the evaluation of landscapes for an AI tool.</p>
Researcher survey data (European Research Data Landscape study)
<p>Anonymised researcher survey data from the European Research Data Landscape study.</p>
FIG. 1. A in A recent bat survey reveals Bukit Barisan Selatan Landscape as a chiropteran diversity hotspot in Sumatra
FIG. 1. A — The location of Bukit Barisan Selatan Landscape (marked as the black star) in Southeast Asia; B — Map of 12 study sites in Bukit Barisan Selatan Landscape. Filled circles: forested sites; filled squares: polyculture coffee plantations; filled diamonds: monoculture coffee plantations; open triangle: cave site. The shaded area refers to the territory of Bukit Barisan Selatan National Park. 1 — Sukabanjar Forest; 2 — Sukaraja Forest; 3 — Way Canguk Forest; 4 — Kuyung Arang Village; 5 — Lombok Village; 6 — Pemerihan Village; 7 — Sukabanjar Village; 8 — Sukaraja Village; 9 — Sumber Rejo Village; 10 — Sidodadi Village; 11 — Sumberjaya Village; 12 — Sridadi Cave
Data from: A 454 survey reveals the community composition and core microbiome of the common bed bug (Cimex lectularius) across an urban landscape
Elucidating the spatial dynamic and core constituents of the microbial communities found in association with arthropod hosts is of crucial importance for insects that may vector human or agricultural pathogens. The hematophagous Cimex lectularius (Hemiptera: Cimicidae), known as the human bed bug, has made a recent resurgence in North America, as well as worldwide, potentially owing to increased travel, climate change and resistance to insecticides. A comprehensive survey of the bed bug microbiome has not been performed to date, nor has an assessment of the spatial dynamics of its microbiome. Here we present a survey of internal and external bed bug microbial communities by amplifying the V4–V6 hypervariable region of the 16S rDNA gene region followed by 454 Titanium sequencing using 31 individuals from eight distinct collection locations obtained from residences in Cincinnati, OH. Across all samples, 97% of the microbial community is made up of two dominant OTUs, previously identified as the α-proteobacterium Wolbachia and an unnamed γ-proteobacterium from the Enterobacteriaceae. Microbial communities varied among host locations for measures of community diversity and exhibited structure according to collection location. This broad survey represents the most in-depth assessment, to date, of the microbes that associate with bed bugs.
Figure 5 in Landscape-scale surveys reveal patterns of floral visitation by species of Scarabaeidae (Coleoptera) in the Kruger National Park, South Africa
Figure 5. Adult of Pedinorrhina trivittata (Schaum) on flowers of Peltophorum africanum Sonder (Kruger National Park, South Africa).
Figure 4 in Landscape-scale surveys reveal patterns of floral visitation by species of Scarabaeidae (Coleoptera) in the Kruger National Park, South Africa
Figure 4. Adult of Leucocelis amethystina (MacLeay) on flowers of Grewia bicolor Jussieu (Kruger National Park, South Africa).
Figure 2 in Landscape-scale surveys reveal patterns of floral visitation by species of Scarabaeidae (Coleoptera) in the Kruger National Park, South Africa
Figure 2. Adult of Amazula suavis (Burmeister) on flowers of Terminalia sericea Burchell (Kruger National Park, South Africa).
Figure 3 in Landscape-scale surveys reveal patterns of floral visitation by species of Scarabaeidae (Coleoptera) in the Kruger National Park, South Africa
Figure 3. Adult of Rhabdotis albinigra Burmeister on flowers and foliage of Terminalia prunioides Lawson (Kruger National Park, South Africa).
Figure 1 in Landscape-scale surveys reveal patterns of floral visitation by species of Scarabaeidae (Coleoptera) in the Kruger National Park, South Africa
Figure 1. Map of the Kruger National Park showing specific locations where floral visitors of Terminalia prunioides Lawson and Terminalia sericea Burchell were sampled.
A Survey on Automated Driving System Testing: Landscapes and Trends [Supplementary material]
<p>This is a supplementary material for our paper <a href="https://arxiv.org/abs/2206.05961">"A Survey on Automated Driving System Testing: Landscapes and Trends"</a>.</p>
Forest survey data of a landscape in Pine Mountain
<p>This dataset provides the planar coordinates, height and the diameter at breast height (DBH) of trees with DBH >= 1 cm within a landscape of 400 m by 1000 m (made up of one-thousand 20 m by 20 m plots) in the Beijing Pine Mountain National Nature Reserve (40°30'50'' N, 115°49'12'' E), which was carried out in 2014.</p>
Optimising bat bioacoustic surveys in human-modified neotropical landscapes
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Forest survey data of a landscape in Pine Mountain
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Data from: A 454 survey reveals the community composition and core microbiome of the common bed bug (Cimex lectularius) across an urban landscape
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Lake landscape survey (WI): Wisconsin DNR, 2000
The Wisconsin Lake Landscape (LKLS) Survey included 121 lakes sampled during the summer of 2000. The purpose of the survey was to compare relationships between landuse/land cover (LULC) quantified at different spatial extents and trophic status (TP, N, DOC, chlorophyll, etc) among seepage, headwater and drainage lakes (of shallow and deep depths) in three contrasting regions of Wisconsin (agricultural-dominated SE; forested NC and mixed WE). Lakes were sampled in mid-summer by boat/canoe or floatplane. Samples for chlorophyll and chemical analyses were collected through the epilimnion with an integrated tube sampler. Except for DOC, most of which was analyzed by the Institute for Ecosystem Studies (IES), chemical analyses were done by the Wisconsin State Laboratory of Hygiene.
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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.
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.