There are 55 spatial coverages corresponding to 27 records.
{
"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)"},
"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"},
"52":{"id_local":"FR-18008901306731-2016-04-06","title_for_url":"Wildlife-Ecotoxicology-Small-mammals","title":"Wildlife Ecotoxicology - Small mammals - Metaleurop Nord"},
"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"},
"91":{"id_local":"FR-18008901306731-2016-12-09-02","title_for_url":"Meteorological-monitoring-on-Forbonnet-peatland","title":"Meteorological monitoring on Forbonnet peatland"},
"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)"},
"352":{"id_local":"FR-18008901306731-2017-11-08","title_for_url":"Pollen-analyses-Labergement-Sainte-Marie","title":"Pollen analyses - Labergement-Sainte-Marie (F-25), Remoray Lake "},
"374":{"id_local":"FR-18008901306731-2017-12-05","title_for_url":"Pollen-analyses-L-Auberson-CH-VD-Les","title":"Pollen analyses - L'Auberson (CH-VD), Les Araignys"},
"375":{"id_local":"FR-18008901306731-2017-12-05-02","title_for_url":"Pollen-analysis-Dizy-Suisse-Vaud-En-Deleze","title":"Pollen analysis - Dizy (Suisse, Vaud), En Del\u00e8ze"},
"376":{"id_local":"FR-18008901306731-2017-12-05-03","title_for_url":"Pollen-analyses-Alba-la-Romaine-F-07-La","title":"Pollen analyses - Alba-la-Romaine (F-07), La Grande Terre"},
"378":{"id_local":"FR-18008901306731-2017-12-05-05","title_for_url":"Pollen-analyses-Les-Hopitaux-Vieux-F-25-La","title":"Pollen analyses - Les H\u00f4pitaux-Vieux (F-25), La Beuffarde"},
"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"},
"438":{"id_local":"FR-18008901306731-2018-11-23","title_for_url":"Pollen-analysis-Osor-Croatia","title":"Pollen analysis - Osor (Croatia)"},
"439":{"id_local":"FR-18008901306731-2018-11-23-02","title_for_url":"Pollen-analysis-Omisalj-Croatia","title":"Pollen analysis - Omisalj (Croatia)"},
"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"},
"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)"},
"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)"},
"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"}
}
[
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{"id":1,"name":"Doubs","data":"31","proj":"WGS84","n":47.564502,"e":7.001288,"s":46.583688,"w":5.740434,"fillColor":"rgba(255, 57, 0, 0.005)","strokeColor":"rgba(192, 43, 0, 0.8)"},
{"id":2,"name":"Corton area","data":"33","proj":"WGS84","n":47.09706,"e":4.887918,"s":47.0416,"w":4.805864,"fillColor":"rgba(255, 113, 0, 0.005)","strokeColor":"rgba(192, 85, 0, 0.8)"},
{"id":3,"name":"Baihaba","data":"34","proj":"WGS84","n":48.69806,"e":86.81528,"s":48.67722,"w":86.76889,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":4,"name":"Fuhai","data":"34","proj":"WGS84","n":47.14389,"e":87.54833,"s":46.91583,"w":87.34222,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
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{"id":7,"name":"Hong Long","data":"34","proj":"WGS84","n":30.11808,"e":100.53029,"s":29.87807,"w":100.29032,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":8,"name":"Kokehada","data":"34","proj":"WGS84","n":46.95,"e":85.667,"s":46.833,"w":85.5,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
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{"id":10,"name":"Maerkang","data":"34","proj":"WGS84","n":31.87324,"e":102.31928,"s":31.69761,"w":102.26256,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":11,"name":"Narati","data":"34","proj":"WGS84","n":43.45211,"e":84.42181,"s":43.21558,"w":83.85454,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":12,"name":"Rangtang","data":"34","proj":"WGS84","n":32.43928,"e":101.1984,"s":32.26868,"w":100.97765,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":13,"name":"Shiqu","data":"34","proj":"WGS84","n":33.61168,"e":98.38028,"s":33.0509,"w":97.84926,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":14,"name":"TuoTuoHe","data":"34","proj":"WGS84","n":36.93,"e":99.59,"s":34.32051,"w":92.42507,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
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{"id":16,"name":"Zhang - Puma","data":"34","proj":"WGS84","n":34.62,"e":104.57,"s":34.53,"w":104.44,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":17,"name":"Sary Mogol","data":"34","proj":"WGS84","n":39.68573,"e":72.91111,"s":39.6465,"w":72.85105,"fillColor":"rgba(255, 170, 0, 0.005)","strokeColor":"rgba(192, 128, 0, 0.8)"},
{"id":18,"name":"Jura","data":"39","proj":"WGS84","n":47.38,"e":6.85,"s":46.28,"w":5.65,"fillColor":"rgba(255, 227, 0, 0.005)","strokeColor":"rgba(192, 171, 0, 0.8)"},
{"id":19,"name":"Septfontaines - Le Souillot","data":"40","proj":"WGS84","n":47.053258,"e":6.392367,"s":46.825501,"w":6.078699,"fillColor":"rgba(227, 255, 0, 0.005)","strokeColor":"rgba(171, 192, 0, 0.8)"},
{"id":20,"name":"Metaleurop surroundings","data":"52","proj":"WGS84","n":50.5487,"e":3.15,"s":50.4175,"w":2.9931,"fillColor":"rgba(170, 255, 0, 0.005)","strokeColor":"rgba(128, 192, 0, 0.8)"},
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{"id":23,"name":"Study area","data":"162","proj":"WGS84","n":46.926769,"e":6.0721,"s":46.7702,"w":5.998,"fillColor":"rgba(0, 255, 0, 0.005)","strokeColor":"rgba(0, 192, 0, 0.8)"},
{"id":24,"name":"P\u00e9rim\u00e8tre BioGEcoP \u00e9tude synchronique","data":"209","proj":"WGS84","n":47.27688,"e":6.78768,"s":46.33432,"w":5.55672,"fillColor":"rgba(0, 255, 57, 0.005)","strokeColor":"rgba(0, 192, 43, 0.8)"},
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{"id":48,"name":"PEGA_MET1 (P_rain, Rh, Ta, PET*, Pe*)","data":"484","proj":"WGS84","n":43.79624386,"e":3.32054264,"s":43.79624386,"w":3.32054264,"fillColor":"rgba(170, 0, 255, 0.005)","strokeColor":"rgba(128, 0, 192, 0.8)"},
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{"id":50,"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(227, 0, 255, 0.005)","strokeColor":"rgba(171, 0, 192, 0.8)"},
{"id":51,"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(255, 0, 227, 0.005)","strokeColor":"rgba(192, 0, 171, 0.8)"},
{"id":52,"name":"Frasne peatland","data":"588","proj":"WGS84","n":46.826,"e":6.1754,"s":46.826,"w":6.1754,"fillColor":"rgba(255, 0, 170, 0.005)","strokeColor":"rgba(192, 0, 128, 0.8)"},
{"id":53,"name":"svalbard","data":"626","proj":"WGS84","n":78.91138887718213,"e":12.279464676976204,"s":78.8502109305989,"w":12.083084061741829,"fillColor":"rgba(255, 0, 113, 0.005)","strokeColor":"rgba(192, 0, 85, 0.8)"},
{"id":54,"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, 57, 0.005)","strokeColor":"rgba(192, 0, 43, 0.8)"}
]