100+ datasets found
  1. d

    Baromètre Écologie Environnement (ELIPSS 2023)

    • data.sciencespo.fr
    • datacatalogue.cessda.eu
    pdf, tsv, xml, zip
    Updated Mar 5, 2024
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    Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert; Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert (2024). Baromètre Écologie Environnement (ELIPSS 2023) [Dataset]. http://doi.org/10.21410/7E4/OH0RKI
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    xml(705802), tsv(2500830), tsv(1419452), pdf(216192), zip(314408), zip(480006), pdf(804035)Available download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    data.sciencespo
    Authors
    Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert; Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    2023 - 2024
    Area covered
    France
    Description

    Le Baromètre Écologie Environnement (BEE) est une enquête consacrée aux attitudes face au changement climatique et, plus généralement, l’écologie. Elle comporte plusieurs parties s’intéressant à différents aspects du rapport au climat et à l’écologie. Elle comprend notamment une batterie de questions permettant de comprendre dans toutes ses dimensions la perception et la compréhension du changement climatique par les répondants. Une autre série de questions interroge les pratiques individuelles concernant le transport, la consommation. Enfin, l’enquête interroge le soutien à divers mesures politiques et permet d’en comprendre les déterminants. L’objectif est de réaliser cette enquête annuellement, afin de créer un outil longitudinal, permettant de mieux appréhender l’évolution des attitudes face aux changement climatique et leurs déterminants. The survey "Ecology and Environment Barometer" examines attitudes towards climate change and more generally ecology. The questionnaire is divided into several sections covering different aspects of people's relationship with the climate and ecology. In particular, it includes a battery of questions designed to provide a comprehensive understanding of respondents' perception and understanding of climate change. Additionally, the survey explores individual practices in transport and consumption. Also, the survey examines support for various political measures and helps to understand their determinants. It is the first wave of the survey with the objective of conducting it annually in order to develop a longitudinal tool for understanding the evolution of attitudes towards climate change and their underlying factors.

  2. e

    Partial New-Aquitaine: Industrial and territorial ecology (EIT) — Communes —...

    • data.europa.eu
    • data.subak.org
    Updated Oct 4, 2017
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    (2017). Partial New-Aquitaine: Industrial and territorial ecology (EIT) — Communes — Perimeter (surface) [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-jdd-b72d305c-69a0-415f-8676-79be3081a4de
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    Dataset updated
    Oct 4, 2017
    Area covered
    Nouvelle-Aquitaine
    Description

    This dataset contains the municipalities (surface objects), concerned by the industrial and territorial ecology (EIT) procedures of New Aquitaine.

    PLEASE NOTE: this dataset is not exhaustive on the perimeter of New Aquitaine, it concerns the perimeters of the former regions Limousin and Poitou-Charentes.

    Based on a systemic approach, industrial and territorial ecology (EIT) is an operational approach that draws on natural ecosystems to strive for optimal material and energy management: the industrial system can be considered as a particular form of ecosystem.

    Thus, like the functioning of food chains in the natural environment, waste and co-products of one activity can become a resource for another activity. Companies can reuse their production residues (vapours, co-products, exhaust gas, effluents, waste, etc.) between themselves, or with local authorities, and thus limit pollution, the collection of resources, the production of waste and energy consumption.

  3. s

    EcoRegion

    • geo2.scholarsportal.info
    Updated Sep 11, 2012
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    Ontario Geospatial Data Exchange, Ministry of Natural Resources (2012). EcoRegion [Dataset]. http://geo2.scholarsportal.info/proxy.html?http:_giseditor.scholarsportal.info/details/view.html?uri=/NAP/OGDE_ECOREGN.xml&show_as_standalone=true
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    Dataset updated
    Sep 11, 2012
    Dataset authored and provided by
    Ontario Geospatial Data Exchange, Ministry of Natural Resources
    Time period covered
    Jan 1, 2007 - Dec 31, 2012
    Area covered
    Description

    Revision Note: Please note that this dataset has been revised and is available from the Land Information Ontario (LIO) Warehouse.

    Eco Regions are areas of land within which the response of vegetation to the features of landform follows a consistent pattern. An ecoregion (ecological region) is an ecologically and geographically defined area that is smaller than a bioregion, which in turn is smaller than an ecozone.

    Various systems exist to delineate natural regions based on ecological factors. MNR defines ecological units on the basis of bedrock, climate, physiography and corresponding vegetation, creating an Ecological Land Classification (ELC) system.

    The ELC of Ontario was revised by the ELC Working Group in 2000 to better reflect the ELC system originally developed by Angus Hills (1959 and later revisions). This dataset was revised to take account new information and new technology, while maintaining Hills's original concepts. For further information on the rationale for the revisions, refer to Ecoregions of Ontario Modifications to Angus Hills Site Regions and Districts, Revisions and Rationale, Crins and Uhlig 2000 . In 2002, the spatial data was updated using NRVIS drainage polygon data including islands from Great Lakes, St. Lawrence, and Ottawa River, and more detailed shoreline data. NTS mapping was also used to delineate the northern, eastern (Quebec border), and western (Manitoba border) boundaries of the province. In 2006, the shorelins of the Great Lakes, St. Lawrence, and Ottawa River were removed and the effected polygon boundaries were extended out over the water bodies to the extent of the provincial boundary. This modification was undertaken to provide a more generic data layer which is intended to be used as a selection tool, and as a backdrop upon which evolving and multi scalar hydorology layers may be overlain or intersected.

  4. o

    Data from: Global inequality remotely sensed

    • explore.openaire.eu
    • zenodo.org
    Updated Mar 25, 2021
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    M.U. Mirza; Chi Xu; Bas van Bavel; E.H. van Nes; M. Scheffer (2021). Global inequality remotely sensed [Dataset]. http://doi.org/10.5281/zenodo.4635733
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    Dataset updated
    Mar 25, 2021
    Authors
    M.U. Mirza; Chi Xu; Bas van Bavel; E.H. van Nes; M. Scheffer
    Description

    Dataset for the PNAS paper "Global inequality remotely sensed". For code and additional data please visit: https://github.com/muhusmanmirza/PNAS_light_inequality.git Dataset for the PNAS paper "Global inequality remotely sensed". For code and additional data please visit: https://github.com/muhusmanmirza/PNAS_light_inequality.git

  5. Data from: Historical Urban Ecological Data, 1830-1930

    • icpsr.umich.edu
    gis
    Updated Nov 16, 2015
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    Costa, Dora L.; Fogel, Robert W. (2015). Historical Urban Ecological Data, 1830-1930 [Dataset]. http://doi.org/10.3886/ICPSR35617.v1
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    gisAvailable download formats
    Dataset updated
    Nov 16, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Costa, Dora L.; Fogel, Robert W.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/35617/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35617/terms

    Time period covered
    1830 - 1930
    Area covered
    Maryland, Boston, Baltimore, Chicago, Cincinnati, New York (state), Brooklyn, United States, Illinois, New York City
    Dataset funded by
    United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
    Description

    The Historical Urban Ecological (HUE) data project was created for exploring and analyzing the urban health environments of seven major United States cities - Baltimore, Boston, Brooklyn, Chicago, Cincinnati, Manhattan, and Philidelphia - from 1830 through 1930. The data for each city includes ward boundary changes, street networks, and ward-level data on disease, mortality, crime, and other variables reported by municipal departments. The HUE data set was produced for the "Early Indicators of Later Work Levels, Disease and Death" project, funded by the National Institute of Aging. This collection represents the GIS data for each of the seven American cities, and in addition to ward boundary changes and street networks, includes in-street sewer and water sanitation systems coverage. All cities except Cincinnati include sanitation infrastructure data, and for Baltimore only water infrastructure is available. The city of Chicago includes supplemental GIS layers which reflect a reconstruction of two of Homer Hoyt's maps of average land value (1933 dollars) in the City of Chicago for 1873 and 1892. The square mile areas defined by Hoyt using Chicago's system of mile streets have been fit to the HUE street centerlines for Chicago. The Excel data tables include information about deaths in each ward broken down by cause of death, age, race, gender, as well as information about live births and deliveries.

  6. a

    Réseau écologique régional (Ecopaysages)

    • hub.arcgis.com
    • data.centrevaldeloire.fr
    • +3more
    Updated Apr 22, 2015
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    Portail SIG de la Région Centre-Val de Loire (2015). Réseau écologique régional (Ecopaysages) [Dataset]. https://hub.arcgis.com/datasets/223976734481440a95d7c1f1d3c3ccc8
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    Dataset updated
    Apr 22, 2015
    Dataset authored and provided by
    Portail SIG de la Région Centre-Val de Loire
    Area covered
    Description

    Le réseau écologique régional a été réalisé par un bureau d'études au cours de l'année 2009 pour la région Centre-Val de Loire avec l'appui d'un groupe de pilotage élargi à des représentants (Etat, experts naturalistes, associations, ...). L'analyse a été réalisée à travers une analyse SIG menée à partir de la base de données Corine Land Cover 2006. Les restitutions ont un niveau de précision d'environ 1/100 000.Ce jeu de données contient les écopaysages qui ont été définis lors de cette étude.Fiche de métadonnées

  7. d

    Corridors interrégionaux (SRCE)

    • data.gouv.fr
    • data.centrevaldeloire.fr
    • +1more
    csv, json, zip
    Updated Jul 21, 2023
    + more versions
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    Région Centre-Val de Loire (2023). Corridors interrégionaux (SRCE) [Dataset]. https://www.data.gouv.fr/en/datasets/corridors-interregionaux-srce/
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    json, csv, zipAvailable download formats
    Dataset updated
    Jul 21, 2023
    Dataset authored and provided by
    Région Centre-Val de Loire
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Les corridors interrégionaux correspondent aux liaisons écologiques identifiées avec les régions administratives voisines et contribuent à la cohérence de la trame verte et bleue nationale. Echelle de saisie: 1/100.000 ème.

  8. d

    Obstacles écologiques linéaires (SRCE)

    • data.gouv.fr
    • data.centrevaldeloire.fr
    • +2more
    csv, json, zip
    Updated Jul 21, 2023
    + more versions
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    Région Centre-Val de Loire (2023). Obstacles écologiques linéaires (SRCE) [Dataset]. https://www.data.gouv.fr/en/datasets/obstacles-ecologiques-lineaires-srce/
    Explore at:
    json, zip, csvAvailable download formats
    Dataset updated
    Jul 21, 2023
    Dataset authored and provided by
    Région Centre-Val de Loire
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Les éléments fragmentants du territoire régional (autoroutes et routes à 2x2 voies, lignes à grande vitesse).Ils sont classés en 2 catégories : majeurs et secondaires. L'échelle de saisie est celle du 1/100 000 ème.

  9. o

    Data from: Predicting coexistence of plants subject to a...

    • explore.openaire.eu
    Updated Jan 1, 2014
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    B. Haegeman; T. Sari; R. S. Etienne (2014). Predicting coexistence of plants subject to a tolerance-competition trade-off [Dataset]. https://explore.openaire.eu/search/other?orpId=od_1587::53ef50520e6ac5f97c201d74b3da88c5
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    Dataset updated
    Jan 1, 2014
    Authors
    B. Haegeman; T. Sari; R. S. Etienne
    Description

    Ecological trade-offs between species are often invoked to explain species coexistence in ecological communities. However, few mathematical models have been proposed for which coexistence conditions can be characterized explicitly in terms of a trade-off. Here we present a model of a plant community which allows such a characterization. In the model plant species compete for sites where each site has a fixed stress condition. Species differ both in stress tolerance and competitive ability. Stress tolerance is quantified as the fraction of sites with stress conditions low enough to allow establishment. Competitive ability is quantified as the propensity to win the competition for empty sites. We derive the deterministic, discrete-time dynamical system for the species abundances. We prove the conditions under which plant species can coexist in a stable equilibrium. We show that the coexistence conditions can be characterized graphically, clearly illustrating the trade-off between stress tolerance and competitive ability. We compare our model with a recently proposed, continuous-time dynamical system for a tolerance-fecundity trade-off in plant communities, and we show that this model is a special case of the continuous-time version of our model.

  10. d

    Data from: Dataset for Alaska Marine Fish Ecology Catalog

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Oct 28, 2023
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    U.S. Geological Survey (2023). Dataset for Alaska Marine Fish Ecology Catalog [Dataset]. https://catalog.data.gov/dataset/dataset-for-alaska-marine-fish-ecology-catalog
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    Dataset updated
    Oct 28, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Alaska
    Description

    This collection of GIS layers was prepared for the report Alaska Arctic Marine Fish Ecology Catalog (U.S. Geological Survey Scientific Investigations Report 2016–5038). The layers display geographic distribution and sampling locations for Arctic marine fish species in the region of United States sectors of the Chukchi and Beaufort Seas. Certain diadromous species (for example, Pacific salmon, char, and whitefishes) are treated as marine fishes (McDowall, 1987) because much of their life cycle is in marine and brackish environments. This synthesis of information is meant to provide current information and understanding of this fauna and its relative vulnerability to changing Arctic conditions. There are 104 species in the collection - some species have both polygon and point data layers. The report (SIR 2016-5038) also describes for each species its names - species, common, and colloquial; ecological role; physical description/attributes; range (geographic); relative abundance; depth range; habitats and life history; behavior; populations or stocks, reproduction, food and feeding, biological interactions, resilience, traditional and cultural importance, commercial fisheries, potential effects of climate change, areas for future research, cited references, and bibliography. The published report has one map for each species showing the polygon and point data as well as land and relevant administrative boundaries. Although some of the species also have an inland water presence, this report was concerned only with their marine conditions; therefore, the land component (from the original sources) has been clipped and removed. The distribution areas may be greater in extent than that shown in the report map bounding box limits. Distributions of marine fishes are shown in adjacent Arctic seas where reliable data are available. The report can be accessed at: https://doi.org/10.3133/sir20165038 This metadata document describes the collection of species data layers. Each species layer file will have its own metadata with details specific to that layer.

  11. D

    Data from: Classification écologique du territoire québécois

    • donneesquebec.ca
    • ouvert.canada.ca
    fgdb, html, pdf, wms +1
    Updated Nov 21, 2023
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    Ministère des Ressources naturelles et des Forêts (2023). Classification écologique du territoire québécois [Dataset]. https://www.donneesquebec.ca/recherche/dataset/systeme-hierarchique-de-classification-ecologique-du-territoire
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    pdf, wms, fgdb, xlsx, htmlAvailable download formats
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Ministère des Ressources naturelles et des Forêts
    License

    https://www.donneesquebec.ca/fr/licence/#cc-byhttps://www.donneesquebec.ca/fr/licence/#cc-by

    Area covered
    Quebec
    Description

    La classification écologique du territoire québécois consiste en une cartographie et une description d’unités écologiques dans un système à neuf niveaux de perception entre l’échelle continentale et celle du paysage. Elle présente la diversité des écosystèmes terrestres de l’ensemble du Québec en tenant compte à la fois des caractéristiques de la végétation (physionomie, structure et composition) et du milieu physique (relief, géologie, géomorphologie, hydrographie).

    Les neuf niveaux qui la composent sont : la zone et la sous-zone de végétation à l’échelle continentale (1 000 000 km2), le domaine et le sous-domaine bioclimatiques à l’échelle nationale (100 000 km2), la région et la sous-région écologiques à l’échelle régionale (10 000 km2) et l’unité de paysage régional, le district écologique et l’étage de végétation à l’échelle du paysage (100 à 1 000 km2).

  12. GIS dataset of candidate terrestrial ecological restoration areas for the...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). GIS dataset of candidate terrestrial ecological restoration areas for the United States [Dataset]. https://catalog.data.gov/dataset/gis-dataset-of-candidate-terrestrial-ecological-restoration-areas-for-the-united-states
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    United States
    Description

    A vector GIS dataset of candidate areas for terrestrial ecological restoration based on landscape context. The dataset was created using NLCD 2011 (www.mrlc.gov) and morphological spatial pattern analysis (MSPA) (http://forest.jrc.ec.europa.eu/download/software/guidos/mspa/). There are 13 attributes for the polygons in the dataset, including presence and length of roads, candidate area size, size of surround contiguous natural areas, soil productivity, presence and length of road, areas suitable for wetland restoration, and others. This dataset is associated with the following publication: Wickham, J., K. Riiters, P. Vogt, J. Costanza, and A. Neale. An inventory of continental U.S. terrestrial candidate ecological restoration areas based on landscape context. RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 25(6): 894-902, (2017).

  13. C

    Historical green structures - Culture historical value map (CHW)

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Historical green structures - Culture historical value map (CHW) [Dataset]. https://ckan.mobidatalab.eu/dataset/6880-historische-groenstructuren-cultuur-historische-waardenkaart-chw
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    http://publications.europa.eu/resource/authority/file-type/zip, http://publications.europa.eu/resource/authority/file-type/png, http://publications.europa.eu/resource/authority/file-type/wfs_srvc, http://publications.europa.eu/resource/authority/file-type/wms_srvcAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Inventory of historical green structures in the landscape. The green elements and structures are mostly created by human intervention. These are usually created for the sake of functionality, just think of wooded banks, hedges, pilot whale and coppice culture, plantation and reclamation forests and rows of trees. Often these are now considered nature. In addition, there are also green elements that arise from aesthetic/cultural considerations, such as various parks, presbytery gardens, avenues and certain solitary trees (Juliananlinde). Both groups form the living heritage of our province. The green structures are provided with descriptions and photos. The Cultural-Historical Values ​​Map was finalized on September 26, 2006 by GS van Noord-Brabant.

  14. e

    SRCE — Continuities to make functional as a priority — Haute-Normandie

    • data.europa.eu
    Updated Feb 4, 2022
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    (2022). SRCE — Continuities to make functional as a priority — Haute-Normandie [Dataset]. https://data.europa.eu/data/datasets/1360fcaa-187c-4425-9a3e-9fd6562ad17a?locale=en
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    Dataset updated
    Feb 4, 2022
    Area covered
    Normandy, Upper Normandy
    Description

    These data are the spatial representation of the continuity to be made functional as a priority during the implementation of the Upper Normandy TVB. These continuitys associated with regional and interregional issues, issues of major interest, are constituted by the merger: — the large biological entities of the region (the valleys of Seine, Pays de Bray, valley of the Eure, etc.), entities represented on the map of regional and interregional issues, — spaces enabling them to be connected and identified as connections of major regional or interregional interest.

  15. w

    Archive en agro-écologie de BSV (Bulletins de Santé du Végétal)

    • data.wu.ac.at
    • data.gouv.fr
    • +1more
    application/rar, cc +1
    Updated Dec 1, 2016
    + more versions
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    (2016). Archive en agro-écologie de BSV (Bulletins de Santé du Végétal) [Dataset]. https://data.wu.ac.at/schema/www_data_gouv_fr/NTgzZWFjOWFjNzUxZGY2MzIxYzBiYjdl
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    cc(32000000000.0), application/rar(14859638.0), zip(173383543.0)Available download formats
    Dataset updated
    Dec 1, 2016
    Description

    The corpus describes damage of insects and diseases on crops (wheat, wine...). corpus contains 41,000 documents. 17,000 were published from 1960 till 2000 of medium quality about text recognition. Each file contains level of risk about crop from a region of France. Texts are in French

    size of document corpus : 40,899 size of document sample : 37 (from different region of France, with different crops)

    size of the corpus (txt format) in octets: 457 Mb size of the corpus (pdf format) in octets: 37 Gb

    metadata for each file:

    _id: name of the file region: name of a French region (example: Alsace) crops: list of crop names (example: wheat) diseases: list of diseases names (example: oidium) insects: list of insects names (for example: puceron noir) risk: patterns of risk (example : "12% of fields") town: list of cities (example: Dijon) date: date of publication of the document pesticides: list of pesticides (exmple: d.d.t.)

    The database contains : cited areas: 27 cited insects: 389 cited diseases: 279 cited pesticids: 727 cited crops: 122

  16. a

    Zones humides - Corridors écologiques (SRCE)

    • hub.arcgis.com
    • data.centrevaldeloire.fr
    • +3more
    Updated Nov 7, 2017
    + more versions
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    Portail SIG de la Région Centre-Val de Loire (2017). Zones humides - Corridors écologiques (SRCE) [Dataset]. https://hub.arcgis.com/datasets/CRCentre::zones-humides-corridors-%C3%A9cologiques-srce
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    Dataset updated
    Nov 7, 2017
    Dataset authored and provided by
    Portail SIG de la Région Centre-Val de Loire
    Area covered
    Description

    Ce jeu de données liste les différents corridors écologiques potentiels pour la sous-trame milieux humides du SRCE en région Centre-Val de Loire.Ces corridors assurent des connexions entre des réservoirs de biodiversité, offrant aux espèces des conditions favorables à leur déplacement et à l’accomplissement de leur cycle de vie. (article R.317-19 III du code de l’environnement). Deux niveaux d’intervention sont possible dans le cadre du SRCE : les corridors à restaurer et ceux à préserver. Une emprise indicative de 3 km est à prendre en considération de part et d’autre de l’axe du corridor, de manière à bien signifier qu’il s’agit de fuseaux de déplacement imprecis qu’il conviendra d’affiner à partir des connaissances localesau moment de la déclinaison du SRCE. La réglementation autorise que tous les réservoirs de biodiversité ne soient pas forcément reliés par des corridors écologiques (article R.317-19 II du code l’environnement) . Ce cas de figure devrait être limité et concerner principalement des réservoirs de biodiversité au regard :a) de la pertinence de connecter ou de garder l’isolement naturel de ces espaces (en particulier : cas d’isolement pour permettre d’éviter la propagation d’espèces exotiques envahissantes ou d’éventuels problèmes sanitaires posés par la faune sauvage véhiculant des maladies pouvant se transmettre à des espèces domestiques (ex : fièvre porcine) ou même à l’homme (ex : rage)).b) d’enjeu de préservation de certains espaces qui constituent un réseau écologique en « pas japonais » pour les espèces associées (ex : des étangs et lacs, des mares, des tourbières) ou de certains espaces non connectés aujourd’hui mais qui pourront servir demain de « relais » ou de nouveau point du maillage écologique du territoire (face à des changements tels que le changement climatique, l’évolution de l’aire de répartition, les incendies, la disparition de réservoirs via un projet d’aménagement ...).Echelle de saisie: 1/100.000 ème.

  17. a

    Réseau écologique régional (Corridors)

    • hub.arcgis.com
    • data.gouv.fr
    • +1more
    Updated Apr 22, 2015
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    Portail SIG de la Région Centre-Val de Loire (2015). Réseau écologique régional (Corridors) [Dataset]. https://hub.arcgis.com/maps/75d2d489174140108c5d1d4af7a9ea5f
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    Dataset updated
    Apr 22, 2015
    Dataset authored and provided by
    Portail SIG de la Région Centre-Val de Loire
    Area covered
    Description

    Le réseau écologique régional a été réalisé par un bureau d'études au cours de l'année 2009 pour la région Centre-Val de Loire avec l'appui d'un groupe de pilotage élargi à des représentants (Etat, experts naturalistes, associations, ...). L'analyse a été réalisée à travers une analyse SIG menée à partir de la base de données Corine Land Cover 2006. Les restitutions ont un niveau de précision d'environ 1/100 000.Ce jeu de données contient les corridors écologiques qui ont été définis lors de cette étude.Fiche de métadonnées

  18. f

    Data_Sheet_1_Integrating Multiple Data Types to Connect Ecological Theory...

    • figshare.com
    pdf
    Updated Jun 3, 2023
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    Jian D. L. Yen; Zeb Tonkin; Jarod Lyon; Wayne Koster; Adrian Kitchingman; Kasey Stamation; Peter A. Vesk (2023). Data_Sheet_1_Integrating Multiple Data Types to Connect Ecological Theory and Data Among Levels.pdf [Dataset]. http://doi.org/10.3389/fevo.2019.00095.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Jian D. L. Yen; Zeb Tonkin; Jarod Lyon; Wayne Koster; Adrian Kitchingman; Kasey Stamation; Peter A. Vesk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Ecological theories often encompass multiple levels of biological organization, such as genes, individuals, populations, and communities. Despite substantial progress toward ecological theory spanning multiple levels, ecological data rarely are connected in this way. This is unfortunate because different types of ecological data often emerge from the same underlying processes and, therefore, are naturally connected among levels. Here, we describe an approach to integrate data collected at multiple levels (e.g., individuals, populations) in a single statistical analysis. The resulting integrated models make full use of existing data and might strengthen links between statistical ecology and ecological models and theories that span multiple levels of organization. Integrated models are increasingly feasible due to recent advances in computational statistics, which allow fast calculations of multiple likelihoods that depend on complex mechanistic models. We discuss recently developed integrated models and outline a simple application using data on freshwater fishes in south-eastern Australia. Available data on freshwater fishes include population survey data, mark-recapture data, and individual growth trajectories. We use these data to estimate age-specific survival and reproduction from size-structured data, accounting for imperfect detection of individuals. Given that such parameter estimates would be infeasible without an integrated model, we argue that integrated models will strengthen ecological theory by connecting theoretical and mathematical models directly to empirical data. Although integrated models remain conceptually and computationally challenging, integrating ecological data among levels is likely to be an important step toward unifying ecology among levels.

  19. e

    Historical green structures — Culture historical values map (CHW)

    • data.europa.eu
    png, wfs, wms, zip
    Updated Feb 12, 2023
    + more versions
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    (2023). Historical green structures — Culture historical values map (CHW) [Dataset]. https://data.europa.eu/data/datasets/6880-historische-groenstructuren-cultuur-historische-waardenkaart-chw-
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    zip, wms, png, wfsAvailable download formats
    Dataset updated
    Feb 12, 2023
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Inventory of historical green structures in the landscape. The green elements and structures are often created by man’s interventions. These are usually created because of its functionality, such as woodwalls, hedges, gravel and chopping wood culture, plantation and extraction forests and tree rows. These are often considered nature. In addition, there are also green elements that develop aesthetic/cultural considerations, as we know various parks, pastoral gardens, floats and certain solitary trees (Juliananlinde). Both groups are the living heritage of our province. The green structures are provided with descriptions and photographs. The Cultural History Value Card was definitively adopted by GS van Noord-Brabant on 26 September 2006.

  20. d

    The Ecology-Culture Dataset: a resource for investigating cultural variation...

    • datadryad.org
    • search.dataone.org
    • +1more
    zip
    Updated May 21, 2023
    + more versions
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    Alexandra Wormley; Jung Yul Kwon; Michael Barlev; Michael E. W. Varnum (2023). The Ecology-Culture Dataset: a resource for investigating cultural variation (Abbreviated) [Dataset]. http://doi.org/10.5061/dryad.f7m0cfz1x
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    zipAvailable download formats
    Dataset updated
    May 21, 2023
    Dataset provided by
    Dryad
    Authors
    Alexandra Wormley; Jung Yul Kwon; Michael Barlev; Michael E. W. Varnum
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    R files are included to describe data processing and analyses conducted within Wormley, A. S., Kwon, J. Y., Barlev, M., & Varnum, M. E. W. How much cultural variation is explained by ecology?

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Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert; Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert (2024). Baromètre Écologie Environnement (ELIPSS 2023) [Dataset]. http://doi.org/10.21410/7E4/OH0RKI

Baromètre Écologie Environnement (ELIPSS 2023)

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xml(705802), tsv(2500830), tsv(1419452), pdf(216192), zip(314408), zip(480006), pdf(804035)Available download formats
Dataset updated
Mar 5, 2024
Dataset provided by
data.sciencespo
Authors
Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert; Éric Pautard; Nicolas Sauger; Luc Rouban; Maël Ginsburger; Emiliano Grossman; Malo Jan; Luis Sattelmayer; Théodore Tallent; Lucien Thabourey; Simon Audebert
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Time period covered
2023 - 2024
Area covered
France
Description

Le Baromètre Écologie Environnement (BEE) est une enquête consacrée aux attitudes face au changement climatique et, plus généralement, l’écologie. Elle comporte plusieurs parties s’intéressant à différents aspects du rapport au climat et à l’écologie. Elle comprend notamment une batterie de questions permettant de comprendre dans toutes ses dimensions la perception et la compréhension du changement climatique par les répondants. Une autre série de questions interroge les pratiques individuelles concernant le transport, la consommation. Enfin, l’enquête interroge le soutien à divers mesures politiques et permet d’en comprendre les déterminants. L’objectif est de réaliser cette enquête annuellement, afin de créer un outil longitudinal, permettant de mieux appréhender l’évolution des attitudes face aux changement climatique et leurs déterminants. The survey "Ecology and Environment Barometer" examines attitudes towards climate change and more generally ecology. The questionnaire is divided into several sections covering different aspects of people's relationship with the climate and ecology. In particular, it includes a battery of questions designed to provide a comprehensive understanding of respondents' perception and understanding of climate change. Additionally, the survey explores individual practices in transport and consumption. Also, the survey examines support for various political measures and helps to understand their determinants. It is the first wave of the survey with the objective of conducting it annually in order to develop a longitudinal tool for understanding the evolution of attitudes towards climate change and their underlying factors.

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