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300 results for “Urban area”
Data from: Home range and core area characteristics of urban and rural coyotes and red foxes in southern Wisconsin
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Data from: Concrete survivors: The herpetofauna of an urban green area over 100 years of increasing urbanization
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Community attachment as a factor in the subjective well-being of older adults in urban and rural areas: A case study in Tokyo, Osaka, and Shikoku region in Japan
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Seasonal distribution and fencing effect for water deer and wild boar in an urban forest fringe area
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Data from: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area
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Data from: Not all mammalian small carnivores are equal: A global review of the research effort in urban areas
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Data and code from: The impact of light-rail stations on income sorting in US urban areas
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A STP-HSI index method for urban built-up area extraction based on multi-source remote sensing data
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Socio-economic status and non-native species drive bird ecosystem service provision in urban areas
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Central Arizona - Phoenix Urban LTER site, station Maricopa County, AZ (FIPS 4013), study of county area in units of squareKilometers on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains county area measurements in squareKilometers units and were aggregated to a yearly timescale.
Central Arizona - Phoenix Urban LTER site, station Pinal County, AZ (FIPS 4021), study of county area in units of squareKilometers on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains county area measurements in squareKilometers units and were aggregated to a yearly timescale.
Urban storm runoff study conducted in the central Arizona-Phoenix area: study site locations
Flood is the other major disturbance on which CAP LTER will focus. In collaboration with the USGS, we have begun a study to examine the transport of materials from urban patches to waterways during the intense, localized storms that characterize this region. Their existing data, plus new studies initiated in summer 1998, will form the basis for comparison of urban, suburban, and desert catchments in terms of their yields of nutrients, organic carbon, and metals.
Scorpions in urban environments in the Central Arizona-Phoenix area: site locations
Determination of what degree of human modification influences the frequency of scorpion stings by looking at the number of scorpion stings in different zip code areas of the Phoenix metropolitan area. Results from this study may be useful in making recommendations on land development so scorpion stings are minimal.
Effects of urban horticulture on insect pollinator community structure in the central Arizona-Phoenix area
Insects that pollinate flowering plants are often considered "keystone species," animals that play extremely important roles in ecosystem functioning such that their absence would have more widespread and far-reaching effects than their abundance alone would indicate. For example, the absence of pollinating insects would translate to a severe reduction in plant reproduction, which would in turn affect not only the plants but also seed-eating animals, herbivorous animals, predators of the herbivores, and so on in a trophic cascade. Such a scenario would impact not only wildlife but also human populations because insects pollinate the majority of human food-plants. While the importance of these relationships is acknowledged, surprisingly, little is known about how insect pollinator communities are affected by environmental changes, such as global climate change or urban development. There has recently been a call for research on insect pollinator communities, citing a pressing need to obtain baseline information in the face of probable future environmental changes. The Sonoran Desert has one of the most diverse insect communities in the world (particularly for members of the Order Hymenoptera [bees, wasps, and ants], which perform the lion's share of pollination duties for both native and crop plants). This community may be threatened from the presence of the exotic honeybee and from habitat alteration in the form of urban development. We propose to conduct a pilot study to examine how the pollinator community differs under different forms of urban land use in the Phoenix metropolitan area. We have three research questions: (1) How does the ratio of native species to the exotic honeybee differ among natural desert, urban desert remnants, and residential areas that also have flowering plants? (2) How does insect pollinator community structure (richness and abundance) differ among natural desert, urban desert remnants, and residential areas? and (3) How does insect poll
Urban forest classification of the central Arizona-Phoenix area from a Landiscor image, year 1997
The dataset is the result of applying parameters developed for the object-oriented classification of high resolution, true-color aerial photography (Walker and Briggs in press). The source image used is the true-color Landiscor aerial photography (3 m) collected over Phoenix in the spring of 1997.
Urban storm runoff study conducted in the central Arizona-Phoenix area: period June 1998
Flood is the other major disturbance on which CAP LTER will focus. In collaboration with the USGS, we have begun a study to examine the transport of materials from urban patches to waterways during the intense, localized storms that characterize this region. Their existing data, plus new studies initiated in summer 1998, will form the basis for comparison of urban, suburban, and desert catchments in terms of their yields of nutrients, organic carbon, and metals.
Scorpion stings in urban environments in the central Arizona-Phoenix area: 1996-1997
Determination of what degree of human modification influences the frequency of scorpion stings by looking at the number of scorpion stings in different zip code areas of the Phoenix metropolitan area. Results from this study may be useful in making recommendations on land development so scorpion stings are minimal.
Institutional drivers of urban growth in the central Arizona-Phoenix area
The Institutional Drivers of Growth in Phoenix is currently ongoing. The purpose of the project is to understand how the complex mix of institutions, federal, state, and local, influence the pattern of growth in Phoenix. This year we focused on state trust land, specifically changing state trust land policy in Arizona and the west in general. We are approaching the state trust land sub-project by conducting qualitative research of policy archival documents. The assessment of state trust land referenda included a text and factor analysis of the policy dimensions. Additionally, the Institutional Drivers project has just begun to work in concert with �Socioecological Gradients and Land-Use Fragmentation: A Cross-Site Comparative Analysis.� The Institutional Drivers that we�ve gathered include annexation data, as well as preliminary assessment of growth management policy. In the American West, vast stocks of federally and state managed land and a relatively long history of self-governance and direct democracy unite to form heated public debates about use, management, and values. We investigate the nexus of these two threads of American politics, direct democracy and public land policies, through a qualitative study of ballot propositions on state trust land over the last century. A database of state trust land propositions was developed with forty-two propositions from fourteen states with over 90% from the West. Using word count as ideological placements we identified twenty-nine topics in the propositions. Text and principle component analysis reduced these to four dimensions of debate: 1) resource use procedures, 2) use of the fund, 3) management, and 4) investment. Additionally, we identified one issue that is receding in importance, resource extraction, while conservation and development concerns are emerging as new priorities. This study uses analysis of the policy language of ballot propositions to understand the political debates over state trust land over the p
Crowd and community sourcing to update authoritative LULC data in urban areas
<p>The French National Mapping Agency (Institut National de l'Information Géographique et Forestière - IGN) is responsible for producing and maintaining the spatial data sets for all of France. At the same time, they must satisfy the needs of different stakeholders who are responsible for decisions at multiple levels from local to national. IGN produces many different maps including detailed road networks and land cover/land use maps over time. The information contained in these maps is crucial for many of the decisions made about urban planning, resource management and landscape restoration as well as other environmental issues in France. Recently, IGN has started the process of creating a high-resolution land use land cover (LULC) maps, aimed at developing smart and accurate monitoring services of LULC over time. To help update and validate the French LULC database, citizens and interested stakeholders can contribute using the <a href="https://paysages.ign.fr/">Paysages</a> mobile and web applications. This approach presents an opportunity to evaluate the integration of citizens in the IGN process of updating and validating LULC data.</p> <p><strong>Dataset 1: Change detection validation 2019</strong></p> <p>This dataset contains web-based validations of changes detected by time series (2016 – 2019) analysis of Sentinel-2 satellite imagery. Validation was conducted using two high resolution orthophotos from respectively 2016 and 2019 as reference data. Two tools have been used: <a href="https://paysages.ign.fr/">Paysages</a> web application and <a href="https://laco-wiki.net/">LACO-Wiki</a>. Both tools used the same validation design: blind validation and the same options. For each detected change, contributors are asked to validate if there is a change and if it is the case then to choose a LU or LC class from a pre-defined list of classes.</p> <p>The dataset has the following characteristics:</p> <ul> <li>Time period of the change detection: 2016-2019.</li> <li>Time period of data collection: February 2019-December 2019</li> <li>Total number of contributors: 105</li> <li>Number of validated changes: 1048; each change was validated by between 1 to 6 contributors.</li> <li>Region of interest: Toulouse and surrounding areas</li> </ul> <p>Associated files: 1- Change validation locations.png, 1-Change validation 2019 – Attributes.csv, 1-Change validation 2019.csv, 1-Change validation 2019.geoJSON</p> <p>This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="http://www.ign.fr/">IGN-France</a>, and <a href="https://www.geoville.com/">GeoVille</a>.</p> <p><strong>Dataset 2: Land use classification 2019</strong></p> <p>The aim of this data collection campaign was to improve the LU classification of authoritative LULC data (<a href="https://geoservices.ign.fr/documentation/diffusion/telechargement-donnees-libres.html#ocs-ge">OCS-GE 2016</a> ©IGN) for built-up area. Using the Paysages web platform, contributors are asked to choose a land use value among a list of pre-defined values for each location. </p> <p>The dataset has the following characteristics:</p> <ul> <li>Time period of data collection: August 2019</li> <li>Types of contributors: Surveyors from the production department of IGN</li> <li>Total number of contributors: 5</li> <li>Total number of observations: 2711</li> <li><a href="https://geoservices.ign.fr/ressources_documentaires/Espace_documentaire/BASES_VECTORIELLES/OCS_GE/DC_OCS_GE_1-1.pdf">Data specifications of the OCS-GE</a> ©IGN</li> <li>Region of interest: Toulouse and surrounding areas</li> </ul> <p>Associated files: 2- LU classification points.png, 2-LU classification 2019 – Attributes.csv, 2-LU classification 2019.csv, 2-LU classification 2019.geoJSON</p> <p>This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="http://www.ign.fr/">IGN-France</a> and the <a href="https://iiasa.ac.at/">International Institute for Applied Systems Analysis</a>.</p> <p><strong>Dataset 3: In-situ validation 2018</strong></p> <p>The aim of this data collection campaign was to collect in-situ (ground-based) information, using the Paysages mobile application, to update authoritative LULC data. Contributors visit pre-determined locations, take photographs, of the point location and in the four cardinal directions away from the point and answer a few questions with respect with the task. Two tasks were defined: </p> <ul> <li>Classify the point by choosing a LU class between three classes: industrial (US2), commercial (US3) or residential (US5).</li> <li>Validate changes detected by the LandSense Change Detection Service: for each new detected change, the contributor was requested to validate the change and choose a LU and LC class from a pre-defined list of classes.</li> </ul> <p>The dataset has the following characteristics </p> <ul> <li>Time period of data collection: June 2018 – October 2018</li> <li>Types of contributors: students from the School of Agricultural and Life Sciences and citizens</li> <li>Total number of contributors: 26</li> <li>Total number of observations: 281</li> <li>Total number of photos: 421</li> <li>Region of interest: Toulouse and surrounding areas</li> </ul> <p>Associated files: 3- Insitu locations.png, 3- Insitu validation 2018 – Attributes.csv, 3- Insitu validation 2018.csv, 3- Insitu validation 2018.geoJSON</p> <p>This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="http://www.ign.fr/">IGN-France</a>.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.</p>
FIGURE 4 in Description of larva and pupa of Phylloicus cressae Prather 2003 (Trichoptera Calamoceratidae) from a montane forest stream in the peri-urban area of Caracas Venezuela
FIGURE 4: Phylloicus cressae, larva; right thoracic legs I, II, III, posterior. 4A, foreleg; 4B, midleg; 4C, hind leg. Legs chaetotaxy: Coxa: 1 = posterior, dorsal, 3 = anterior, dorsal, proximal, 4 = anterior, dorsal, distal, 5 = anterior, median, 6 = anterior, median. Trochanter: 1 = posterior, median, 2 = posterior, ventral, distal. Femur: 1 = dorsal, median, 2 = dorsal, distal, 3 = posterior, distal, 4 = posterior, ventral, 5 = anterior, ventral, proximal, 6 = anterior, distal. Tibia: 2 = posterior, median, distal, 3 = posterior, dorsal, distal. Tarsus: 1 = posterior, ventral, distal, 2 = dorsal, distal, 3 = dorsal, distal.
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.