Hydrologic landscape regions (HLRs) in the United States were delineated by using geographic information system (GIS) tools and statistical methods including principal components and cluster analyses. The GIS and statistical analyses were applied to land-surface form, geologic texture (permeability of the soil and bedrock), and climate variables that describe the physical and climatic setting of 43,931 small (roughly 200 square kilometers) watersheds in the United States. The analyses then grouped the watersheds into 20 noncontiguous regions (the HLRs) on the basis of similarities in land-surface form, geologic texture, and climate characteristics. This hydrologic landscape regions dataset contains for each of the 43,931 watersheds the (1) watershed identification number, (2) land-surface form, geologic texture, and climate characteristics for each watershed, and (3) hydrologic landscape region number for each watershed.

R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:

Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?

Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

In the landscape plan, all protected areas and assets present in a municipality are identified. While the municipal plan for the territory and the landscape deals essentially with settlement development, the landscape plan mainly refers to open landscapes. Natural soil is protected for landscape reasons, for the protection of health, for the environmental balance, for the protection of natural ecosystems as well as for agricultural production. Landscape planning defines, delimits and regulates the categories of use of natural and agricultural surfaces for the purposes referred to in the previous paragraph. The main destination categories pursuant to Article 13 of the L.P. 9/2018 are: • agricultural green; • forest; • meadow and tree-lined pasture; • pasture and alpine green; • rocky area and glacier; • water. Contents of the landscape plan The provincial law Territory and landscape n. 9/2018 introduces various categories of protection. While large protected areas such as the Stelvio National Park and natural parks are protected by special decrees, protection constraints are introduced for the remaining areas by means of specific landscape plans. Article 11 of the law defines the categories of protection for assets of particular landscape value which may be subject to restrictions by resolution of the Provincial Government with inclusion in the landscape plan. These are natural monuments, ensembles, protected landscape sites, protected biotopes, villas, parks and gardens, landscape protection and landscape conservation areas and panoramic beauties, as well as those viewpoints or belvederes. The landscape plan also introduces protection provisions of a general nature and specific municipal regulations. In the administrative practice of the Province of Bolzano, the constraints are not imposed by individual resolutions, but by placing a series of areas and objects under protection through the landscape plan of each municipality. Article 11 L.P. 9/2018 defines landscape assets of particular landscape value. Furthermore, certain areas or assets are subject to protection by law, i.e. without a specific deed. These are the following territories or properties, listed in article 12 of the L.P. 9/2018:• the territories bordering the lakes included in a depth range of 300 meters from the shoreline also for the territories elevated on the lakes;• the rivers, streams, watercourses registered in the lists provided for by the consolidated text of the provisions of the law on water and electrical systems, approved with royal decree 11 December 1933, n. 1775, and subsequent modifications, and the relative banks or foot of the embankments for a strip of 150 meters each;• the mountains for the part exceeding 1600 meters above sea level;• the glaciers and glacial cirques;• the National Park and the Parks provincial nature reserves as well as nature reserves; • territories covered by forests and woods, even if traversed or damaged by fire, and those subject to reforestation restrictions; • wetlands included in the list established by the decree of the President of the Republic of 13 March 1976 , n. 448, and subsequent modifications; • the areas of archaeological interest.

This data table contains the processed data for the LacI genotype-phenotype landscape, a quantitative measurement of the phenotype for approximately 60,000 variants of the E. coli LacI protein. The table includes, for example, the DNA barcode sequencing counts and the estimated fitness for each variant across 24 different chemical environments. It also includes the estimated dose-response curves for each variant under induction with IPTG.

This dataset consists of summary data for potential landscape sources of per- and poly-fluoroalkyl substances (PFAS). These summary items include facilities from the Environmental Protection Agency (EPA) PFAS Analytics Tools, which were pulled from its Enforcement and Compliance History Online (ECHO), areas affected by fires (burned and urban burned areas) from Monitoring Trends in Burn Severity (MTBS), and landcover data from National Land Cover Dataset (NLCD) and Coastal Change Analysis Portal (C-CAP) around sites sampled as part of a National PFAS Tapwater Reconnaissance. These data are presented as a comma separated file, which includes summaries for all variables listed within a 5-kilometer buffer around each site, with an additional summary of burn areas within a 50-kilometer buffer. The purpose of this effort is to identify and quantify PFAS in drinking water sources at the point-of-use across the United States (US) and these data will be used to identify potential landscape-scale drivers of PFAS contamination in US tapwater (TW).

Analysis of the spatial differentiation and scale effects of the three-dimensional architectural landscape in the main urban area of Xi'an Date Submitted: 2021-07-02

The National Aggregates of Geospatial Data Collection: Population, Landscape, And Climate Estimates, Version 4 (PLACE IV) provides measures of population (head counts) and land area (square kilometers) as totals and by urban and rural designation, within multiple biophysical themes for 248 statistical areas (countries and other territories recognized by the United Nations (UN)), UN geographic regions and subregions, and World Bank economic classifications. It improves upon previous versions by providing these estimates at both the national level, and where possible, at subnational administrative level 1 for the years 2000, 2005, 2010, 2015, and 2020, and by 5-year and broad age groups for the year 2010.

Comprehensive dataset of 1,165 Landscape designers in Pennsylvania, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Landscape character types are distinct homogenous landscapes sharing broadly similar combinations of physical and human elements, geology, soil, vegetation, settlement pattern, etc. Landscape character areas are single unique geographical areas of a particular landscape character type.

Database created for identifying mixed agriculture landscape in the framework of workpackage 3, task 3.3 Mapping mixed landscapes in Europe using existing data (top-down approach) of the MIXED project (Multi-actor and transdisciplinary development of efficient and resilient MIXED farming and agroforestry-systems)

This database is presented and used in deliverable 3.3 Identifying the potential for expansion of mixed farming in European regions.

This data record contains

• the final database used for delivererable 3.3 (databaseD3.3.csv)
• a description of the data in the database (datadescription.xlsx)
• the shapfiles to create maps from the database (map.xxx)

Note that the data description files mentions the source of the raw data. Please consult the deliverable to understand how the data was processed and how the map was created.

This dataset consists of stock (area) data for Biodiversity Action Plan (BAP) Broad Habitats across Great Britain in 1978. Data are presented as areas of Broad (or Priority) Habitats within a set of 256 1km squares across Great Britain. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.

Activity landscape modeling is a powerful method for the quantitative analysis of structure–activity relationships. This cheminformatics area is in continuous growth, and several quantitative and visual approaches are constantly being developed. However, these approaches often fall into disuse due to their limited access. Herein, we present Activity Landscape Plotter as the first freely available web-based tool to automatically analyze structure–activity relationships of compound data sets. Based on the concept of activity landscape modeling, the online service performs pairwise structure and activity relationships from an input data set supplied by the user. For visual analysis, Activity Landscape Plotter generates Structure–Activity Similarity and Dual-Activity Difference maps. The user can interactively navigate through the maps and export all the pairwise structure–activity information as comma delimited files. Activity Landscape Plotter is freely accessible at https://unam-shiny-difacquim.shinyapps.io/ActLSmaps/.

This dataset consists of stock (area) data for landscape features across Great Britain in 1990. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 506 1km squares across Great Britain. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.

The National Aggregates of Geospatial Data Collection: Population, Landscape, And Climate Estimates, Version 3 (PLACE III) data set contains estimates of national-level aggregations in urban, rural, and total designations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, for 232 statistical areas (countries and other UN recognized territories). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

This dataset references directly NatureScot's Open Data Hub, the data is not hosted in Stirling's platform and, therefore, will be updated as soon as NatureScot releases any updates.Symbology for the layers published as per NatureScot.https://opendata.nature.scot/The project highlights what it is that gives familiar areas their distinctiveness and identity; suggests what might attract people to explore new areas; and should help instill a desire to ensure that the diversity of Scotland's landscapes is not diminished. It is about place at the broad scale.

Adaptation to contrasting environments across a heterogeneous landscape favors the formation of ecotypes by promoting ecological divergence. Patterns of fitness variation in the field can show whether natural selection drives local adaptation and ecotype formation. However, to demonstrate a link between ecological divergence and speciation, local adaptation must have consequences for reproductive isolation. Using contrasting ecotypes of an Australian wildflower, Senecio lautus in common garden experiments, hybridization experiments, and reciprocal transplants, we assessed how the environment shapes patterns of adaptation and the consequences of adaptive divergence for reproductive isolation. Local adaptation was strong between ecotypes, but weaker between populations of the same ecotype. F1 hybrids exhibited heterosis, but crosses involving one native parent performed better than those with two foreign parents. In a common garden experiment, F2 hybrids exhibited reduced fitness compared...

The “Soil Landscapes of Canada (SLC) Version 3.2” dataset series provides a set of geo-referenced soil areas (polygons) that are linked to attribute data found in the associated Component Table (CMP), Component Rating Table (CRT), Soil Names Table (SNT), Soil Layer Table (SLT), Landscape Segmentation Table (LST), Landform Extent Table (LET), Landform Definition Table and Ecological Framework Table (EFT). Together, these datasets describe the spatial distribution of soils and associated landscapes for the agricultural areas of Canada. However, some provinces (Alberta, Nova Scotia, and Prince Edward Island) contain CMP, SNT and SLT data for the entire province (that is, beyond the agricultural areas). This version is complemented by the previous SLC version 2.2, which covers the entire country.

The spatial context of invasions is increasingly recognized as important for the success and efficiency of management actions. This information can be key for managing invasive grasses that threaten native ecosystems. We calculated landscape metrics and circuit-based centrality for invasive grasses using a source input raster of weighted-average annual herbaceous cover from 2016-2018 (Maestas et al. 2020, 30 meter resolution) in the Great Basin, USA. This shapefile data product includes the summarized landscape metrics and connectivity metrics for 15 kilometer grid cells (n = 2408) across the Great Basin, USA. Metrics for each grid cell include: mean patch area (area_mn), class area (ca), number of patches (np), largest patch index (lpi), mean Euclidean nearest neighbor distance (enn_mn), mean patch contiguity (cntg_mn), aggregation index (ai), and centrality (cntrlty). We also calculated dominant abundance class (dm_bnd_) for comparison with these metric values.

Bidirectional spectral reflectance factors of landscape elements (litter, scrubs and grasses, leaves) measured by the Spectron SE590 spectroradiometer.

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