There are 189 spatial coverages corresponding to 89 records. 3 coverages concerns the whole Earth.
{
"6":{"id_local":"FR-18008901306731-2015-03-01","title_for_url":"Modern-Land-Snails-from-the-Jura-Mountains","title":"Modern Land Snails from the Jura Mountains"},
"16":{"id_local":"FR-18008901306731-2015-03-08","title_for_url":"Grassland-vegetation-monitoring-in-the-French","title":"Grassland vegetation monitoring in the French Jura Mountains"},
"18":{"id_local":"FR-18008901306731-2015-03-08-02","title_for_url":"Jurassic-Karst","title":"Jurassic Karst"},
"29":{"id_local":"FR-18008901306731-2015-07-02-21","title_for_url":"Mesures-urbaines-de-la-temperature-dans","title":"Mesures urbaines de la temp\u00e9rature dans l\u2019agglom\u00e9ration du Grand Dijon (MUSTARDijon)"},
"30":{"id_local":"FR-18008901306731-2015-07-02-22","title_for_url":"Climate-simulations-at-a-kilometer-scale-over-the","title":"Climate simulations at a kilometer scale over the Mont-Blanc"},
"31":{"id_local":"FR-18008901306731-2015-07-06","title_for_url":"Night-road-side-counts-FDC25","title":"Night road-side counts FDC25"},
"33":{"id_local":"FR-18008901306731-2015-08-06","title_for_url":"HydraVitis-high-spatial-resolution-hourly-near","title":"HydraVitis high spatial resolution hourly near ground air temperature data set, collected in a Burgundy (France) vineyard from 2014"},
"34":{"id_local":"FR-18008901306731-2015-08-06-20","title_for_url":"MicromAsia-small-mammal-surveys-in-Western-China","title":"MicromAsia: small mammal surveys in Western China and Kyrgyztan"},
"39":{"id_local":"FR-18008901306731-2016-01-25","title_for_url":"Temperature-under-canopy","title":"Temperature under canopy "},
"40":{"id_local":"FR-18008901306731-2016-02-01","title_for_url":"Microma-1979-2000","title":"Microma 1979-2000"},
"44":{"id_local":"FR-18008901306731-2016-02-15-20","title_for_url":"Diet-of-the-Barn-Owl-and-variations-of-small","title":"Diet of the Barn Owl and variations of small mammal population relative densities"},
"46":{"id_local":"FR-18008901306731-2016-03-11","title_for_url":"Red-kite-monitoring","title":"Red kite monitoring"},
"47":{"id_local":"FR-18008901306731-2016-03-15","title_for_url":"Censuses-of-the-Network-Rodents-Predators-and-the","title":"Censuses of the Network Rodents Predators and the Environment"},
"49":{"id_local":"FR-18008901306731-2016-03-23","title_for_url":"Zones-humides-basse-vallee-de-l-Ain","title":"Zones humides basse vall\u00e9e de l'Ain"},
"52":{"id_local":"FR-18008901306731-2016-04-06","title_for_url":"Wildlife-Ecotoxicology-Small-mammals","title":"Wildlife Ecotoxicology - Small mammals - Metaleurop Nord"},
"53":{"id_local":"FR-18008901306731-2016-05-11","title_for_url":"PROTEKER-a-near-shore-submarine-observatory-in","title":"PROTEKER: a near-shore submarine observatory in the Kerguelen Islands for the long-term monitoring of benthic habitats"},
"57":{"id_local":"FR-18008901306731-2016-06-08","title_for_url":"Hydrology-Climate-Change-Adaptation-Water","title":"Hydrology, Climate Change, Adaptation, Water Resource in Burgundy (HYCCARE-Burgundy)"},
"73":{"id_local":"FR-18008901306731-2016-08-30-02","title_for_url":"Mobile-temperature-measurements-of-air","title":"Mobile temperature measurements of air temperature in Dijon"},
"76":{"id_local":"FR-18008901306731-2016-08-30-05","title_for_url":"Monthly-mean-interpolated-climatic-fields-for","title":"Monthly mean interpolated climatic fields for Kenya "},
"78":{"id_local":"FR-18008901306731-2016-09-06","title_for_url":"Brotteaux-Ain-river-Chemical-data","title":"Brotteaux-Ain river-Chemical data"},
"79":{"id_local":"FR-18008901306731-2016-09-07","title_for_url":"Port-Galland-Ain-River-Chemical-data","title":"Port-Galland-Ain River-Chemical data"},
"80":{"id_local":"FR-18008901306731-2016-09-07-02","title_for_url":"Puit-Novets-Ain-River-Chemical-data","title":"Puit-Novets-Ain River-Chemical data"},
"81":{"id_local":"FR-18008901306731-2016-09-09","title_for_url":"Sous-Bresse-Ain-River-Chemical-data","title":"Sous Bresse-Ain River-Chemical data"},
"82":{"id_local":"FR-18008901306731-2016-09-09-02","title_for_url":"Planet-Ain-River-Chemical-data","title":"Planet-Ain River-Chemical data"},
"83":{"id_local":"FR-18008901306731-2016-09-09-03","title_for_url":"Gourdans-Ain-River-Chemical-data","title":"Gourdans-Ain River-Chemical data"},
"85":{"id_local":"FR-18008901306731-2016-09-15","title_for_url":"Regional-desert-dust-and-climate-modeling-in","title":"Regional desert dust and climate modeling in North Equatorial Africa : a 21-year WRF-CHIMERE simulation exercise "},
"91":{"id_local":"FR-18008901306731-2016-12-09-02","title_for_url":"Meteorological-monitoring-on-Forbonnet-peatland","title":"Meteorological monitoring on Forbonnet peatland"},
"94":{"id_local":"FR-18008901306731-2016-12-19","title_for_url":"Dendrochronology-dendroarchaeology","title":"Dendrochronology, dendroarchaeology, dendroclimatology of Silver Fir in Jura mountains (France)"},
"162":{"id_local":"FR-18008901306731-2017-02-03","title_for_url":"Fossorial-water-vole-Arvicola-terrestris","title":"Fossorial water vole (Arvicola terrestris) population cycles and their phase-associated microbial communities"},
"209":{"id_local":"FR-18008901306731-2017-02-16-02","title_for_url":"Permanent-grasslands-of-the-French-Jura-Mountains","title":"Permanent grasslands of the French Jura Mountains (synchronic study BioGEcoP)"},
"326":{"id_local":"FR-18008901306731-2017-09-19-04","title_for_url":"Pollen-analysis-Luc-en-Diois-F-26-Lac-du","title":"Pollen analysis - Luc-en-Diois (F-26), Lac du Claps (Petit Lac)"},
"327":{"id_local":"FR-18008901306731-2017-09-29","title_for_url":"Pollen-analysis-Strasbourg-F-67-Place-des","title":"Pollen analysis - Strasbourg (F-67), Place des Bateliers"},
"338":{"id_local":"FR-18008901306731-2017-10-04-03","title_for_url":"Pollen-analysis-Strasbourg-F-67-Caserne","title":"Pollen analysis - Strasbourg (F-67), Caserne Barbade"},
"340":{"id_local":"FR-18008901306731-2017-10-05-02","title_for_url":"Pollen-analysis-Saint-Bonnet-de-Chavagne","title":"Pollen analysis - Saint-Bonnet-de-Chavagne (F-26), Le Ch\u00e2telard"},
"346":{"id_local":"FR-18008901306731-2017-10-17-02","title_for_url":"Pollen-analysis-Oyonnax-F-01-Lac-Genin","title":"Pollen analysis - Oyonnax (F-01), Lac Genin"},
"373":{"id_local":"FR-18008901306731-2017-11-29","title_for_url":"HISTORISK-database","title":"HISTORISK database"},
"379":{"id_local":"FR-18008901306731-2017-12-07","title_for_url":"Vegetation-releves-Labergement-Sainte-Marie","title":"Vegetation relev\u00e9s - Labergement-Sainte-Marie (F-25), le Montrinsans"},
"388":{"id_local":"FR-18008901306731-2018-02-08","title_for_url":"Winter-Very-Long-Dry-Spells-events-referencing","title":"Winter Very Long Dry Spells events referencing over the Mediterranean Basin (1957-2013)"},
"391":{"id_local":"FR-18008901306731-2018-03-20","title_for_url":"Spatial-distribution-of-Yunnan-snub-nosed-monkey","title":"Spatial distribution of Yunnan snub-nosed monkey indices in Tacheng, China"},
"392":{"id_local":"FR-18008901306731-2018-04-24","title_for_url":"Human-recreational-disturbance-effects-on-chicks","title":"Human recreational disturbance effects on chicks stress"},
"400":{"id_local":"FR-18008901306731-2018-07-10-03","title_for_url":"Pollen-analysis-Steinhausen-Suisse-Zug","title":"Pollen analysis - Steinhausen (Suisse, Zug), Chalet 1700 + ZCS"},
"401":{"id_local":"FR-18008901306731-2018-07-10-04","title_for_url":"Pollen-analysis-Planken-Liechtenstein-NR-4-5","title":"Pollen analysis - Planken (Liechtenstein), NR 4,5"},
"403":{"id_local":"FR-18008901306731-2018-07-17","title_for_url":"BIOTROPH-Molecular-Ecology","title":"BIOTROPH - Molecular Ecology"},
"407":{"id_local":"FR-18008901306731-2018-09-14","title_for_url":"Population-genetics-in-a-mixed-maternity-colony","title":"Population genetics in a mixed maternity colony of Myotis myotis and M. blythii - Bourg d'Oisans"},
"408":{"id_local":"FR-18008901306731-2018-09-20","title_for_url":"Cholera-database-of-Democratic-Republic-of-Congo","title":"Cholera database of Democratic Republic of Congo"},
"449":{"id_local":"FR-18008901306731-2019-03-21","title_for_url":"Downscaling-CMIP5-climate-projections-over-the","title":"Downscaling CMIP5 climate projections over the Mont-Blanc Massif at a 200-m resolution"},
"453":{"id_local":"FR-18008901306731-2019-04-11","title_for_url":"Sampling-of-Mediterranean-fan-mussel-specimens","title":"Sampling of Mediterranean fan mussel specimens (Pinna nobilis) for molecular analyses of the byssus and of the shell matrix"},
"455":{"id_local":"FR-18008901306731-2019-05-10","title_for_url":"Water-vole-and-plant-diversity-in-a-productive","title":"Water vole and plant diversity in a productive hay meadow of the Doubs department"},
"484":{"id_local":"FR-18008901306731-2019-09-03","title_for_url":"OMIV-Time-series-of-meteorological-parameters","title":"OMIV - Time series of meteorological parameters on landslides"},
"485":{"id_local":"FR-18008901306731-2019-09-05","title_for_url":"Database-derived-from-the-annual-registers-of-the","title":"Database derived from the annual registers of the marc tax of Dijon 1376-1447"},
"486":{"id_local":"FR-18008901306731-2019-09-13","title_for_url":"Satellite-images-of-cloud-types-products-in-West","title":"Satellite images of cloud types products in West Africa from March to August in 2017"},
"487":{"id_local":"FR-18008901306731-2019-09-24","title_for_url":"Geochemical-data-on-rainfall-and-groundwater-at","title":"Geochemical data on rainfall and groundwater at Douala (Cameroon)"},
"488":{"id_local":"FR-18008901306731-2019-11-26","title_for_url":"Continuous-regional-climate-change-projection-for","title":"Continuous regional climate change projection for France"},
"500":{"id_local":"FR-18008901306731-2020-03-23","title_for_url":"Pollen-analysis-Bouverans-F-25-L-entonnoir","title":"Pollen analysis - Bouverans (F-25), L'entonnoir"},
"501":{"id_local":"FR-18008901306731-2020-03-27","title_for_url":"Pollen-analysis-Mondelange-F-57-rue-de-Metz","title":"Pollen analysis - Mondelange (F-57), rue de Metz"},
"506":{"id_local":"FR-18008901306731-2020-07-24","title_for_url":"Appropriation-and-land-use-in-Blandy-les-Tours","title":"Appropriation and land use in Blandy-les-Tours (Seine-et-Marne), from the 16th to the 19th century "},
"508":{"id_local":"FR-18008901306731-2020-08-28","title_for_url":"Piezometric-monitoring-in-soils-of-the-Clauge","title":"Piezometric monitoring in soils of the Clauge catchment area (Chaux forest, Jura)"},
"514":{"id_local":"FR-18008901306731-2020-11-12","title_for_url":"Stone-crushing-and-plant-community-diversity-in","title":"Stone crushing and plant community diversity in dry calcareous grasslands (old Franche-Comt\u00e9 region, eastern France)"},
"515":{"id_local":"FR-18008901306731-2020-11-12-02","title_for_url":"Monitoring-of-the-vegetation-of-extensive","title":"Monitoring of the vegetation of extensive mountain hay meadows in eastern France (Jura and Vosges)"},
"516":{"id_local":"FR-18008901306731-2021-01-26","title_for_url":"ZELAC-surveys-predator-prey","title":"ZELAC surveys: predator - prey"},
"518":{"id_local":"FR-18008901306731-2021-03-01","title_for_url":"Digitized-inventory-of-the-French-peatlands-of","title":"Digitized inventory of the French peatlands of 1949"},
"519":{"id_local":"FR-18008901306731-2021-03-05","title_for_url":"WRF-CORDEX-simulations-on-the-Europe-domain","title":"WRF-CORDEX simulations on the Europe domain EUR-44"},
"520":{"id_local":"FR-18008901306731-2021-03-05-02","title_for_url":"WRF-CORDEX-simulations-on-the-Mediterranean","title":"WRF-CORDEX simulations on the Mediterranean domain MED-44 "},
"529":{"id_local":"FR-18008901306731-2021-04-12-02","title_for_url":"Climate-projection-over-France-8-km-resolution","title":"Climate projection over France (8 km resolution) CMIP5"},
"550":{"id_local":"FR-18008901306731-2021-06-25","title_for_url":"Japanese-disasters-database","title":"Japanese disasters database"},
"551":{"id_local":"FR-18008901306731-2021-07-07","title_for_url":"Genotypic-and-phenotypic-evolution-of-a","title":"Genotypic and phenotypic evolution of a Pseudomonas aeruginosa ST395 strain during 11-year in hospital spread."},
"552":{"id_local":"FR-18008901306731-2021-07-16","title_for_url":"Pollen-analysis-La-Chateleine-F-39-Au-vieux","title":"Pollen analysis - La Ch\u00e2teleine (F-39), Au vieux ch\u00e2teau"},
"555":{"id_local":"FR-18008901306731-2021-07-21","title_for_url":"Pollen-analysis-Fontenu-F-39-Domaine-CID-I","title":"Pollen analysis - Fontenu (F-39), Domaine CID I et CID II"},
"556":{"id_local":"FR-18008901306731-2021-07-21-02","title_for_url":"Pollen-analysis-Le-Locle-NE-CH-Col-des","title":"Pollen analysis - Le Locle (NE, CH), Col des Roches (Projet H20)"},
"570":{"id_local":"FR-18008901306731-2021-10-22","title_for_url":"Abondances-and-genotypic-characteristics-of","title":"Abondances and genotypic characteristics of gram-negative bacteria in the environment - Ain River floodplain - 2019-2020"},
"571":{"id_local":"FR-18008901306731-2021-10-22-02","title_for_url":"Physicochemical-characteristics-of-water-and","title":"Physicochemical characteristics of water and sediment - Ain River floodplain - 2019-2020"},
"572":{"id_local":"FR-18008901306731-2021-10-22-03","title_for_url":"Abondances-of-gram-negative-bacteria-in-the","title":"Abondances of gram-negative bacteria in the environment - floodplains of the Ain, Doubs, and Loue Rivers - 2015-2016"},
"573":{"id_local":"FR-18008901306731-2021-10-22-04","title_for_url":"Physicochemical-characteristics-of-water-and","title":"Physicochemical characteristics of water and sediment - floodplains of the Ain, Doubs and Loue Rivers - 2015-2016"},
"585":{"id_local":"FR-18008901306731-2022-03-24-02","title_for_url":"Descriptors-monitoring-atmospheric-centers-of","title":"Descriptors monitoring atmospheric centers of action of weather patterns around Aotearoa New Zealand"},
"587":{"id_local":"FR-18008901306731-2022-03-30","title_for_url":"SISMEAUCLIM","title":"SISMEAUCLIM "},
"588":{"id_local":"FR-18008901306731-2022-04-01","title_for_url":"Water-temperature-data-of-the-Forbonnet-peatland","title":"Water temperature data of the Forbonnet peatland (Thermopeat project)"},
"589":{"id_local":"FR-18008901306731-2022-04-01-02","title_for_url":"Majors-traces-elements-and-strontium-isotopes","title":"Majors, traces elements and strontium isotopes (87Sr\/86Sr) of Cretaceous limestone and Quaternary marl - Jura Mountains"},
"590":{"id_local":"FR-18008901306731-2022-04-01-03","title_for_url":"Strontium-isotopic-ratio-87Sr-86Sr-of-waters","title":"Strontium isotopic ratio (87Sr\/86Sr) of waters from the Forbonnet peatland - Jura Mountains"},
"593":{"id_local":"FR-18008901306731-2022-04-06","title_for_url":"FIBROKARST","title":"FIBROKARST"},
"605":{"id_local":"FR-13002091000019-2022-08-18","title_for_url":"Bird-counts-at-Buanyuantula-Makalondi-Niger","title":"Bird counts at Buanyuantula, Makalondi, Niger 1991-1993"},
"606":{"id_local":"FR-13002091000019-2022-09-02","title_for_url":"Distribution-of-waterbirds-along-the-Drugeon","title":"Distribution of waterbirds along the Drugeon river, France"},
"608":{"id_local":"FR-13002091000019-2022-11-21","title_for_url":"Physico-chemical-parameters-and-isotopic","title":"Physico-chemical parameters and isotopic signatures of the waters of the Forbonnet peatland"},
"609":{"id_local":"FR-13002091000019-2023-01-18","title_for_url":"Physicochemical-and-bacteriological","title":"Physicochemical and bacteriological characteristics of water - Arcier watershed - 2020-2022"},
"610":{"id_local":"FR-13002091000019-2023-01-24","title_for_url":"Survey-of-the-breeding-bird-populations-in-the","title":"Survey of the breeding bird populations in the Drugeon basin, Franche-Comt\u00e9, France, based on IPA (1998-2020)"},
"626":{"id_local":"FR-13002091000019-2023-06-29-02","title_for_url":"Glaciological-data-Austre-Loven-Svalbard","title":"Glaciological data Austre Lov\u00e9n Svalbard"},
"637":{"id_local":"FR-13002091000019-2024-03-15","title_for_url":"MEDUSA-Marine-benthic-Ecological-Data-from","title":"MEDUSA: Marine benthic Ecological Data from Underwater imagery Surveys of sub-Antarctic Crozet environments"}
}
[
{"id":0,"name":"Jura Mountain","data":"6","proj":"WGS84","n":47.166,"e":7,"s":46,"w":5,"fillColor":"rgba(255, 0, 0, 0.005)","strokeColor":"rgba(192, 0, 0, 0.8)"},
{"id":1,"name":"Franche-Comt\u00e9","data":"16","proj":"WGS84","n":47.345125,"e":6.5037111,"s":46.4308333,"w":5.4435083,"fillColor":"rgba(255, 18, 0, 0.005)","strokeColor":"rgba(192, 13, 0, 0.8)"},
{"id":2,"name":"Jurassic Karst Observatory","data":"18","proj":"WGS84","n":47.47,"e":6.33,"s":46.68,"w":5.89,"fillColor":"rgba(255, 36, 0, 0.005)","strokeColor":"rgba(192, 27, 0, 0.8)"},
{"id":3,"name":"Fourbanne site","data":"18","proj":"WGS84","n":47.4,"e":6.357,"s":47.33,"w":6.298,"fillColor":"rgba(255, 36, 0, 0.005)","strokeColor":"rgba(192, 27, 0, 0.8)"},
{"id":4,"name":"Lods site","data":"18","proj":"WGS84","n":47.135,"e":6.367,"s":47.04,"w":6.24,"fillColor":"rgba(255, 36, 0, 0.005)","strokeColor":"rgba(192, 27, 0, 0.8)"},
{"id":5,"name":"Fertans site","data":"18","proj":"WGS84","n":47.0573,"e":6.0643,"s":47.0568,"w":6.064,"fillColor":"rgba(255, 36, 0, 0.005)","strokeColor":"rgba(192, 27, 0, 0.8)"},
{"id":6,"name":"Mouthe site","data":"18","proj":"WGS84","n":46.7051,"e":6.2095,"s":46.7048,"w":6.2091,"fillColor":"rgba(255, 36, 0, 0.005)","strokeColor":"rgba(192, 27, 0, 0.8)"},
{"id":7,"name":"Grand Dijon","data":"29","proj":"WGS84","n":47.4,"e":5.2,"s":47.25,"w":4.9,"fillColor":"rgba(255, 53, 0, 0.005)","strokeColor":"rgba(192, 40, 0, 0.8)"},
{"id":8,"name":"Western Europe (18km resolution)","data":"30","proj":"WGS84","n":54,"e":15,"s":40,"w":-5,"fillColor":"rgba(255, 71, 0, 0.005)","strokeColor":"rgba(192, 54, 0, 0.8)"},
{"id":9,"name":"Alps (4km resolution)","data":"30","proj":"WGS84","n":47.5,"e":9,"s":44.5,"w":5,"fillColor":"rgba(255, 71, 0, 0.005)","strokeColor":"rgba(192, 54, 0, 0.8)"},
{"id":10,"name":"Mont-Blanc Massif (1km resolution)","data":"30","proj":"WGS84","n":46.25,"e":7.4,"s":45.5,"w":6.25,"fillColor":"rgba(255, 71, 0, 0.005)","strokeColor":"rgba(192, 54, 0, 0.8)"},
{"id":11,"name":"Doubs","data":"31","proj":"WGS84","n":47.564502,"e":7.001288,"s":46.583688,"w":5.740434,"fillColor":"rgba(255, 89, 0, 0.005)","strokeColor":"rgba(192, 67, 0, 0.8)"},
{"id":12,"name":"Corton area","data":"33","proj":"WGS84","n":47.09706,"e":4.887918,"s":47.0416,"w":4.805864,"fillColor":"rgba(255, 107, 0, 0.005)","strokeColor":"rgba(192, 80, 0, 0.8)"},
{"id":13,"name":"Baihaba","data":"34","proj":"WGS84","n":48.69806,"e":86.81528,"s":48.67722,"w":86.76889,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":14,"name":"Fuhai","data":"34","proj":"WGS84","n":47.14389,"e":87.54833,"s":46.91583,"w":87.34222,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":15,"name":"Baiyin","data":"34","proj":"WGS84","n":36.5752,"e":105.26076,"s":36.45119,"w":105.13027,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":16,"name":"Guyan","data":"34","proj":"WGS84","n":35.96121,"e":106.14023,"s":35.92552,"w":105.98837,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":17,"name":"Hong Long","data":"34","proj":"WGS84","n":30.11808,"e":100.53029,"s":29.87807,"w":100.29032,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":18,"name":"Kokehada","data":"34","proj":"WGS84","n":46.95,"e":85.667,"s":46.833,"w":85.5,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":19,"name":"Longde","data":"34","proj":"WGS84","n":35.67415,"e":106.20283,"s":35.66504,"w":106.19212,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":20,"name":"Maerkang","data":"34","proj":"WGS84","n":31.87324,"e":102.31928,"s":31.69761,"w":102.26256,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":21,"name":"Narati","data":"34","proj":"WGS84","n":43.45211,"e":84.42181,"s":43.21558,"w":83.85454,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":22,"name":"Rangtang","data":"34","proj":"WGS84","n":32.43928,"e":101.1984,"s":32.26868,"w":100.97765,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":23,"name":"Shiqu","data":"34","proj":"WGS84","n":33.61168,"e":98.38028,"s":33.0509,"w":97.84926,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
{"id":24,"name":"TuoTuoHe","data":"34","proj":"WGS84","n":36.93,"e":99.59,"s":34.32051,"w":92.42507,"fillColor":"rgba(255, 125, 0, 0.005)","strokeColor":"rgba(192, 94, 0, 0.8)"},
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{"id":124,"name":"Pelouses s\u00e8ches du parc naturel r\u00e9gional du Haut-Jura","data":"514","proj":"WGS84","n":46.9110622849634,"e":6.46929938346148,"s":46.231342976094,"w":5.61785895377398,"fillColor":"rgba(0, 6, 255, 0.005)","strokeColor":"rgba(0, 4, 192, 0.8)"},
{"id":125,"name":"Prairies de fauche extensive dans le Jura et les Vosges ","data":"515","proj":"WGS84","n":48.1701153462829,"e":7.21472181379795,"s":46.5101131076794,"w":5.66564954817295,"fillColor":"rgba(12, 0, 255, 0.005)","strokeColor":"rgba(9, 0, 192, 0.8)"},
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{"id":132,"name":"Besan\u00e7on - H\u00f4pital Jean Minjoz","data":"551","proj":"WGS84","n":47.225563305009416,"e":5.9692209337583675,"s":47.225563305009416,"w":5.9692209337583675,"fillColor":"rgba(136, 0, 255, 0.005)","strokeColor":"rgba(103, 0, 192, 0.8)"},
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{"id":176,"name":"Aotearea New Zealand","data":"585","proj":"WGS84","n":-20,"e":-150,"s":-65,"w":140,"fillColor":"rgba(255, 0, 231, 0.005)","strokeColor":"rgba(192, 0, 174, 0.8)"},
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{"id":182,"name":"Makalondi, Niger","data":"605","proj":"WGS84","n":12.805901,"e":1.740381,"s":12.795931,"w":1.714945,"fillColor":"rgba(255, 0, 125, 0.005)","strokeColor":"rgba(192, 0, 94, 0.8)"},
{"id":183,"name":"Drugeon","data":"606","proj":"WGS84","n":46.945649,"e":6.375886,"s":46.807468,"w":6.178646,"fillColor":"rgba(255, 0, 107, 0.005)","strokeColor":"rgba(192, 0, 80, 0.8)"},
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{"id":185,"name":"bassin versant d'Arcier","data":"609","proj":"WGS84","n":47.28865362448073,"e":6.304801935330033,"s":47.16975268580535,"w":6.041130060330033,"fillColor":"rgba(255, 0, 71, 0.005)","strokeColor":"rgba(192, 0, 54, 0.8)"},
{"id":186,"name":"Bassin du Drugeon","data":"610","proj":"WGS84","n":46.950995,"e":6.345141,"s":46.787881,"w":6.129985,"fillColor":"rgba(255, 0, 53, 0.005)","strokeColor":"rgba(192, 0, 40, 0.8)"},
{"id":187,"name":"svalbard","data":"626","proj":"WGS84","n":78.91138887718213,"e":12.279464676976204,"s":78.8502109305989,"w":12.083084061741829,"fillColor":"rgba(255, 0, 36, 0.005)","strokeColor":"rgba(192, 0, 27, 0.8)"},
{"id":188,"name":"Ile de la Possession","data":"637","proj":"WGS84","n":-46.32,"e":51.92,"s":-46.5,"w":51.6,"fillColor":"rgba(255, 0, 18, 0.005)","strokeColor":"rgba(192, 0, 13, 0.8)"}
]
Access
Discipline
- Marine & freshwater biology
- Infectious diseases
- Meteorology & atmospheric sciences
- History
- Water resources
- Biodiversity conservation
- Environmental sciences
- Paleontology
- Archaeology
- Geosciences, multidisciplinary
- Geography, physical
- Geology
- Ecology
- Limnology
- Crystallography
- Astronomy & astrophysics
- Physics, atomic, molecular & chemical
- Geochemistry & geophysics
- Chemistry, organic
- Microbiology
- Multidisciplinary sciences
- Materials science, multidisciplinary
- Mineralogy
- Cell biology
- Spectroscopy
- Plant sciences
- Chemistry, inorganic & nuclear
- Chemistry, physical
- Physics, mathematical
- Chemistry, analytical
- Computer science, artificial intelligence
- Agronomy
- Geography
- Parasitology
- Engineering, electrical & electronic
- Engineering, environmental
- Health care sciences & services
- Computer science, information systems
- Engineering, industrial
- Ornithology
- Computer science, software engineering
- Biochemistry & molecular biology
- Energy & fuels
- Engineering, mechanical
- Forestry
- Mycology
- Electrochemistry
- Materials science, characterization & testing
- Oceanography
- Mathematical & computational biology
- Humanities, multidisciplinary
- Pathology
- Behavioral sciences
- Computer science, theory & methods
- Engineering, multidisciplinary
- Instruments & instrumentation
- Oncology
- Robotics
- Zoology
- Pharmacology & pharmacy
- Entomology
- Linguistics
- Remote sensing
- Materials science, composites
- Medical informatics
- Medieval & renaissance studies
- Anatomy & morphology
- Statistics & probability
- Physiology
- Cultural studies
- Toxicology
- Polymer science
- Materials science, biomaterials
- Tropical medicine
- Neurosciences
- Genetics & heredity
- Chemistry, applied
- Urban studies
- Operations research & management science
- Biophysics
- Biology, miscellaneous
- Biology
- Acoustics
- Philosophy
- Asian studies
- Physics, condensed matter
- Architecture
- Physics, multidisciplinary
- Anthropology
- Psychiatry
- Psychology
- Psychology, experimental
- Public, environmental & occupational health
- Religion
- Reproductive biology
- Agriculture, multidisciplinary
- Sociology
- Surgery
- Telecommunications
- Imaging science & photographic technology
- Transportation science & technology
- Language & linguistics
- Law
- Logic
- Food science & technology
- Materials science, coatings & films
- Engineering, chemical
- Dermatology
- Mathematics
- Mechanics
- Computer science, interdisciplinary applications
- Microscopy
- Computer science, hardware & architecture
- Communication
- Music
- Clinical neurology
- Nanoscience & nanotechnology
- Neuroimaging
- Nuclear science & technology
Collection
- Données de thèse
- PollenChrono
- Chimie des eaux-basse vallée de l'Ain
- Données de thèse de Alexandre Lhosmot
- Données de thèse de Charles Henriot
- Microma
- Road-side counts
- Bacilles à Gram négatif dans l'environnement
- Histoire des catastrophes
- OMIV
- Piézométrie Chrono-Environnement
- Génomique bactérienne
- Complex directed networks