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5,023 results for “landing”
Data and code from: Breakdown in seasonal dynamics of subtropical ant communities with land-cover change
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Data from: Acrobatic squirrels learn to leap and land on tree branches without falling
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Response of Lake Baikal periphyton to nutrient enrichment at 10 sites across a land use gradient: Results from a nutrient diffusing substrata (NDS) experiment
This data set contains results of a study on the response of benthic algae to experimental nutrient enrichment in the nearshore of Lake Baikal, Russia. Nutrient diffusing substrata (NDS) were deployed at 10 sites across a land-use gradient (from town to forested) during August to September of 2015 . Four NDS treatments were used at each site: 'control', 'added phosphorus', 'added nitrogen' and 'added nitrogen and phosphorus'. NDS tiles were left in the lake for 32-33 days. After retrieval, benthic chlorophyll a levels from all sites were analyzed as an index of periphyton biomass (data in file periphyton_chl_a.csv). Taxonomic identification of algae was done at 4 of the 10 sites (2 developed, 2 undeveloped); cell counts are presented in file 'periphyton_abundance.csv'; biovolumes were determined for the most common taxa and are presented in file 'periphyton_biovolume.csv'.
American Residential Macrosystems - Presence/absence of plant species within land use groups in residential yards in six major metropolitan areas in the United States, 2017-2018
"This dataset includes presence/absence of plant species recorded in residential yards and nearby natural and interstitial areas (i.e.unmanaged vegetation areas in the residential/wildland interface) in six cities across the U.S. Baltimore, MD, Boston, MA, Los Angeles, CA, Miami, FL, Minneapolis-St. Paul, MN, and Phoenix, AZ. Yards were grouped in 4 categories based on fertilizer input frequency, landscaping style and their impact on hydrology: high-input lawns, low-input lawns, wildlife-certified yards and yards with low impact on hydrology (or rain gardens)."
Eight Mile Lake Research Watershed, Thaw Gradient Extended sites: Physical data from land cover classes from an upland watershed undergoing permafrost thaw.
This data set contains meausrements of soil properties (depth to permafrost and depth of organc matter) from sites throughout the wathershed within certain land cover types identified by an unsupervised landcover classification. The purpose was to see how land cover classes differed in soil properties and if we could detect diffences in classes undergoing permafrost thaw that results in thermokarst.
Eight Mile Lake Research Watershed, Thaw Gradient Extended sites: Vegetation data from land cover classes from an upland watershed undergoing permafrost thaw.
This data set contains meausrements ofpercent of ground cover (vegetation, water, bare soil) from sites throughout the wathershed within certain land cover types identified by an unsupervised landcover classification. The purpose was to see how land cover classes differed in soil properties and if we could detect diffences in classes undergoing permafrost thaw that results in thermokarst.
Hedonic Modeling Data for Land Use Regulations and Water Quality in Buncombe County, N.C.
The State of North Carolina's Water Supply Watershed Protection Act of 1989 required local governments to adopt land use measures selected watersheds to protect the water supply emanating from those watersheds. We examine vacant land prices in and around the Ivy River watershed of Buncombe County, NC, at the time such regulation took effect in 1998. Our results suggest that costs of watershed development restrictions are borne primarily by those vacant land owners in the watershed for whom the development restrictions make land subdivision infeasible. We find benefits accruing to land owners on the public water supply or who are adjacent to creeks.
The effects of land-use history and the contemporary landscape on non-native plant invasion at local and regional scales in the French Broad Watersheds, 2007
Determining what factors explain the distribution of non-native invasive plants that can spread in forest-dominated landscapes could advance understanding of the invasion process and identify forest areas most susceptible to invasion. The researchers conducted roadside surveys to determine the presence and abundance of 15 non-native plant species known to invade forests in western North Carolina, USA. Prior to sampling, the researchers identified 15 non-native invasive plant species that were of concern in the study region. Generalized linear models were used to examine how contemporary and historic land use, landscape context, and topography influenced presence and abundance of the species at local and regional scales.
Land Change Trajectories across Four Watersheds in the Upper Little Tennessee River Basin
These data were collected to reconstruct spatially explicit land use/land cover change trajectories that were temporally consistent and at very high accuracies for a selection of watersheds in Macon County, NC: Cartoogechaye, Coweeta, Skeenah and Watauga. Buildings (points) and roads (lines) were digitized from historic maps and aerial photographs and aligned where necessary for temporal consistency. Land cover was simultaneously classified across all years for each 25x25m pixel (1/16 ha) in order to maximize temporal consistency.
Hubbard Brook National Land Cover Dataset 1992
The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-state image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous states. Thus, the reliability of the data is greatest at the state or multi-State level. The statistical accuracy of the data is known only for the region. Important Caution Advisory With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made remembering that the NLCD represents conditions in the early 1990s. The New Hampshire portion of the NLCD was created as part of land cover mapping activities for Federal Region I that includes the States of Connecticut, Maine, Vermont, Rhode Island, New Hampshire, and Massachusetts. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (USEPA) to produce a consistent, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Land Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Water Resources Divisions), USEPA, the U.S. Forest Service, and the
Community Land Model version 4.5 (CLM4.5) simulations of water, energy, and carbon fluxes for Saddle vegetation communities, 2008 - 2013
Single point simulations of CLM4.5 that include (1) forcing data that were input to the model and subsequent (2) model output for simulations that approximate conditions in fellfield, dry meadow, moist meadow, wet meadow, and snowbed vegetation communities. Forcing data were generated with observed atmospheric conditions from Tvan, Saddle precipitation, and incoming shortwave radiation measured from the AmeriFlux tower site (US-NR1) from 2008-2013. Wintertime precipitation inputs were modified to approximate average snow depth for each vegetation community observed across the Saddle grid. Land models, like CLM, provide a cohesive framework to investigate biogeophysical and biogeochemical effects of environmental change on ecosystem processes. We used CLM4.5 to investigate if a global-scale model can represent local-scale patterns of water, energy, and carbon fluxes in a heterogeneous mountain environment. Specifically, we were interested in generating testable projections of potential ecosystem responses to climate change. Model output includes half-hourly data on fluxes of energy, water, and carbon, as well as vegetation carbon stocks and edaphic conditions. We also conducted sensitivity analyses to look at ecosystem responses to modifications intended to extend growing season length by decreasing snow albedo and warming air temperatures (black sand and M-A warm, respectively). Information on the variables, units, and data are included as attributed in the network Common Data Form (NetCDF) files for this dataset. For users unfamiliar with using NetCDF files, we have included R scripts that write (forcing data) and read (model output) .nc files include in this data archive. More information about NetCDF files is available at http://www.unidata.ucar.edu/software/netcdf/docs/index.html.
SGS-LTER GIS layer with detailed information on Public Land Survey 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
Land Cover for VCR/LTER Watersheds 1988
This dataset summarizes land cover for each of 65 small watersheds along the Virginia portion of the Atlantic Coast of the Delmarva Peninsula. Watersheds were delineated by Bruce Hayden and John Porter from USGS 1:24,000 scale quadrangle maps and extend down to the 5 ft (1.524) contour. Land cover data comes from the NOAA C-CAP dataset from 1988. To develop this dataset, the watersheds were digitized as ARC/INFO coverages and overlayed with the CCAP data (converted to ARC/INFO polygons from its native ERDAS raster format). The resulting polygon areas were then tabulated using SAS to generate this data file.
UBL000049244 - Brabandts recht dat is generale costumen vanden lande ende hertoghdomme van Brabandt midtsgaders van het hertoghdom van Limborgh stede ende lande van Mechelen met verscheyde ordonnantien reglementen statuten, ende manieren van procederen
<p>Titel: <em>Brabandts recht dat is generale costumen vanden lande ende hertoghdomme van Brabandt midtsgaders van het hertoghdom van Limborgh stede ende lande van Mechelen met verscheyde ordonnantien reglementen statuten, ende manieren van procederen</em></p> <p>Publisher: Michiel Knobbaert</p> <p>Place: Antwerpen</p> <p>Year:1682</p> <p>Used version: The copy we used for the transcriptions is held at the UBLeiden and digitised by the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: <a href="https://books.google.nl/books?vid=KBNL:UBL000049244&redir_esc=y">https://books.google.nl/books?vid=KBNL:UBL000049244&redir_esc=y</a></p> <p>(Main) Language: Dutch</p> <p>Province: Brabant, Limburg en Mechelen</p> <p>Font:Roman.</p> <p>Model used: Dutch_Romantype_Print (public model in Transkribus)</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p><br> </p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p>
UBL000049242 - Brabandts recht dat is generale costumen vanden lande ende hertoghdomme van Brabandt midtsgaders van het hertoghdom van Limborgh stede ende lande van Mechelen met verscheyde ordonnantien reglementen statuten, ende manieren van procederen
<p>Titel: <em>Brabandts recht dat is generale costumen vanden lande ende hertoghdomme van Brabandt midtsgaders van het hertoghdom van Limborgh stede ende lande van Mechelen met verscheyde ordonnantien reglementen statuten, ende manieren van procederen</em></p> <p>Publisher: Michiel Knobbaert</p> <p>Place: Antwerpen</p> <p>Year:1682</p> <p>Used version: The copy we used for the transcriptions is held at the UBLeiden and digitised by the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: <a href="https://books.google.nl/books?vid=KBNL:UBL000049244&redir_esc=y">https://books.google.nl/books?vid=KBNL:UBL000049244&redir_esc=y</a></p> <p>(Main) Language: Dutch</p> <p>Province: Brabant, Limburg en Mechelen</p> <p>Font:Roman.</p> <p>Model used: Dutch_Romantype_Print (public model in Transkribus)</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p><br> </p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p>
KBNL03000194313 - Ordonnantie ende lyste van den grooten Brabandtschen zwygenden land-tol, geleyde- en peerd-gelt, over de steden, vryheden, dorpen, heerlijckheden en plaatsen, gelegen in Brabandt ressort van desen Staat. Gemaeckt en gedresseert na de oude voorgaende ordonnantien en lijsten, daer op de selve tot nogh toe is ontfangen en gerevideert den 20. Augusti 1716., waer na een yeder des aengaende hem sal hebben te reguleren
<p>Titel: <em> </em><em>Ordonnantie ende lyste van den grooten Brabandtschen zwygenden land-tol, geleyde- en peerd-gelt, over de steden, vryheden, dorpen, heerlijckheden en plaatsen, gelegen in Brabandt ressort van desen Staat. Gemaeckt en gedresseert na de oude voorgaende ordonnantien en lijsten, daer op de selve tot nogh toe is ontfangen en gerevideert den 20. Augusti 1716., waer na een yeder des aengaende hem sal hebben te reguleren</em></p> <p>Publisher: Paulus Scheltus</p> <p>Place: ‘s-Gravenhage/ Den Haag</p> <p>Year: 1716</p> <p>Used version: The copy we used for the transcriptions is held at the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: https://books.google.nl/books?id=_YxbAAAAcAAJ</p> <p>(Main) Language: Nederlands.</p> <p>Province: Brabant</p> <p>Font: Roman.</p> <p>Model used: Dutch_Romantype_Print</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Regional Land Use mapping code and dataset for Early and Middle Neolithic Ireland (3750-3600 cal BC and 3600-3400 cal BC, respectively)
<p>Dataset and mapping code associated with an example of regional land use mapping for prehistoric Ireland, produced for Fig 5 of paper by S. Harrison et al. '<em>Development and testing of scenarios for implementing Holocene LULC in Earth System Model Experiments'</em> submitted for publication to Geoscientific Model Development. Data points derive from <sup>14</sup>C dated archaeological sites and distributions of settlements and monuments that have been assigned to each archaeological period following the dataset published in McLaughlin et al. (2016).</p>
UBL000049212 - Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten (volume 3)
<p>Titel: <em> </em><em>Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten</em><em> </em><em>(volume </em><em>3</em><em>)</em><em> </em></p> <p>Publisher: Jacob van Poolsum</p> <p>Place: Utrecht</p> <p>Year: 1729</p> <p>Used version: The copy we used for the transcriptions is held at Utrecht University Library and digitised by the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: http://objects.library.uu.nl/reader/index.php?obj=1874-204938&amp;lan=nl</p> <p>(Main) Language: Dutch.</p> <p>Province: Utrecht</p> <p>Font: Roman.</p> <p>Model used: Dutch_Romantype_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
UBL000049211 - Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten (volume 2)
<p>Titel: <em> </em><em>Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten</em><em> </em><em>(volume 2)</em><em> </em></p> <p>Publisher: Jacob van Poolsum</p> <p>Place: Utrecht</p> <p>Year: 1729</p> <p>Used version: The copy we used for the transcriptions is held at Utrecht University Library .</p> <p>Link digitised version of the book: http://objects.library.uu.nl/reader/index.php?obj=1874-204934&amp;lan=nl</p> <p>(Main) Language: Dutch.</p> <p>Province: Utrecht</p> <p>Font: Roman.</p> <p>Model used: Dutch_Romantype_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
UBL000049210 - Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten (volume 1)
<p>Titel: <em> </em><em>Groot placaatboek vervattende alle de placaten, ordonnantien en edicten, der edele mogende heeren Staten 's Lands van Utrecht, mitsgaders van de ed. groot achtb. heeren borgemeesteren en Vroedschap der stad Utrecht, tot het jaar 1728 ingesloten</em><em> </em><em>(volume 1)</em><em> </em></p> <p>Publisher: Jacob van Poolsum</p> <p>Place: Utrecht</p> <p>Year: 1729</p> <p>Used version: The copy we used for the transcriptions is held at Utrecht University Library and digitised by the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: http://objects.library.uu.nl/reader/index.php?obj=1874-204923&amp;lan=nl</p> <p>(Main) Language: Dutch.</p> <p>Province: Utrecht</p> <p>Font: Roman.</p> <p>Model used: Dutch_Romantype_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
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.