The data included in this publication include visitor characteristics, attitudes towards the wilderness experience, and use patterns for wilderness visitors to the Bob Marshall Wilderness Complex (BMWC) in 1982. Visitors were asked to provide contact information for a mail-back survey. Questions included that of age, education, types of groups, club memberships, attitudes such as satisfaction with wilderness experience, as well as use pattern questions such as method of travel, length of stay, and activities engaged in during trip. Over 700 responses were obtained. In part, the data were collected to replicate a 1970 study in the same area. The format of the surveys and data was informed by the earlier study for later trend anaylsisThe study of visitors to the BMWC was conducted to inform planning and management for outdoor recreational use in the BMWC. This study also partly replicated a study done in the same area in 1970, which allowed for the development of trends in the visitor characteristics, attitudes, and use patterns.

These surveys are part of Waka Kotahi's commitment to delivering Road to Zero 2020-30, New Zealand's road safety strategy.Each survey details the results of responses provided by New Zealanders to a broad range of questions focused on specific road safety topics, including attitudes to enforcement, speed, vehicle safety, impaired driving, distraction, driver fatigue and personal safety.This 17MB download contains the survey results and resources divided by year for the years 2020, 2021 & 2022.In 2020, we surveyed over 3,000 respondents in two separate questionnaire streams.In 2021, we surveyed over 1,600 respondents using CATI (computer assisted telephone interviewing).In 2022, we surveyed 3,330 people in two separate questionnaire streams. The research fieldwork was carried out between 14 July – 16 September 2022.File contents for each year:Questionnaire (docx): survey questionsTechnical report (docx): technical report with the methodology and other background information of the studyData (sav): weighted SPSS data file that can be used to conduct bespoke analysis. You will require a statistical software programme such as SPSS, Q or similar.Data dictionary (xlsx): data dictionary to assist the use of the SPSS fileData tables (xlsx): Excel cross-tabulations which are more commonly used by most research users. Report (pdf): report prepared by Waka Kotahi and Kantar Public based on the survey results.Data reuse caveatsAs per license. Additionally, we have used weightings in the data. The weightings are built into the SPSS raw data, and the tabulated excel document.Data quality statementSee the technical report file included in the zip download.Data quality caveatsThere are differences in data collection methodology over the years. Before 2020, the Ministry of Transport conducted surveys face-to-face. In 2020, the survey changed to using CATI (computer assisted telephone interviewing) due to COVID-19.

Patua-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units. - Locations of geothermal wells. - Locations of 40Ar/39Ar and tephra samples. Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata and faults. also includes a list of stratigraphic units, locations of geothermal wells, and locations of 40Ar/39Ar and tephra samples.

Abstract copyright UK Data Service and data collection copyright owner.

This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme.

This project integrated social, economic, hydrological and biodiversity studies in an interdisciplinary approach to assess the impacts of converting land to Miscanthus grass and short-rotation coppice (SRC) willows. The approach adopted was the Sustainability Appraisal Framework, more commonly used in land-use planning. Two contrasting farming systems were focussed on: the arable-dominated East Midlands; and grassland-dominated South West England. The multi-disciplinary team of researchers studied social acceptability of introducing SRC willows and Miscanthus grass in these areas, in addition to water-use studies, GIS-based suitability mapping, farm and regional economics studies and biodiversity impacts. Data generated include a public attitudes survey, measures of focal indicator taxa, GIS visualisations and hydrological measurements.

The analysis of public attitudes was based upon a public questionnaire survey, focus group meetings with community groups, insights from stakeholder meetings, and interviews with key industry and local government officers. In total the views of over 550 people contribute to the findings. The questionnaire survey sought to ascertain the general level of knowledge and approval of various renewable energy sources, understanding of the term biomass, and specific knowledge of Miscanthus and SRC. Photographs of the crops were used as a visual aid and to gather views on the acceptability of introducing Miscanthus and SRC into the local landscape setting. GIS-based computer generated real-time landscape models, and other computer generated static images were produced and used alongside photographs in more in-depth interviews and focus groups.

Ecology, hydrology and GIS data from this study are available at the Environmental Information Data Centre of the Centre for Ecology and Hydrology.

Further information for this study may be found through the ESRC Research Catalogue webpage: Social, Economic and Environmental Implications of Increasing Rural Land Use under Energy Crops.

description: Salt Wells-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Locations of 40Ar/39Ar samples.; abstract: Salt Wells-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Locations of 40Ar/39Ar samples.

A public participatory GIS -survey dataset detailing public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland.

Neal Hot Springs-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Three cross-sections. - Locations of production, injection, and exploration wells. - Locations of 40Ar/39Ar samples. - Location of XRF geochemical samples. - 3D model constructed with EarthVision using geologic map data, cross-sections, drill-hole data, and geophysics (model not in the ESRI geodatabase). Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. May require ArcGIS to open.

This data set maps and describes the geology of the Pinto Mountain 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses parts of the northeastern Hexie Mountains, central Pinto Mountains, and central Pinto Basin. The quadrangle is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic and (or) Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Hexie and Pinto Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, a cover of Miocene sedimentary deposits and basalt overlie the erosion surface. Quaternary and (or) Tertiary lacustrine deposits crop out in the center of Pinto Basin and interfinger laterally with sandstone, conglomerate, and debris flows originating in the Pinto and Hexie Mountains. A sequence of at least three Quaternary pediments is planed into the north piedmonts of the Hexie and Eagle Mountains, each in turn overlain by successively younger residual and alluvial, surficial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Pinto and Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults along the range fronts facing Pinto Basin. In and around the Pinto Mountain quadrangle, faults of the north-northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and some of the faults may offset Pliocene and (or) Pleistocene deposits that accumulated on the oldest pediment. Faults of this system appear to be overlain by Pleistocene deposits that accumulated on younger pediments. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The Pinto Mountain database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database comprises eight coverages: (1) a geologic layer showing the distribution of geologic contacts and units; (2) a structural layer showing the distribution of faults (arcs) and fault ornamentation data (points); (3) a layer showing the distribution of dikes (arcs); structural point data layers showing (4) bedding attitudes, (5) foliation attitudes, (6) lineations, (7) minor fold axes; and (8) cartographic map elements, including unit label leaders and geologic unit annotation. The dataset also includes a scanned topographic base at a scale of 1:24,000. Within the database coverages, geologic contacts , faults, and dikes are represented as lines (arcs and routes), geologic units as areas (polygons and regions), and site-specific data as points. Polygon, region, arc, route, and point attribute tables uniquely identify each geologic datum and link it to descriptive tables that provide more detailed geologic information. The digital database is accompanied by two derivative maps: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base and (2) a PostScript graphic-file containing the geologic map on a 1:24,000 topographic base. Each of these map products is accompanied by a marginal explanation consisting of a Description of Map Units (DMU), a Correlation of Map Units (CMU), and a key to point and line symbols. The database is further accompanied by three document files: (1) a readme that lists the contents of the database and describes how to access it, (2) a pamphlet file that describes the geology of the quadrangle, and (3) this metadata file.