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1 to 10 of 121 Results
5 sept. 2024
El Houbri, Fatima Ezahra; Valentin, Sarah; Idrissi, Najlae; Roche, Mathieu, 2024, "Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web", https://doi.org/10.18167/DVN1/2B4WLR, CIRAD Dataverse, V1, UNF:6:/8/tpWu2MzGuGuB5xtMPZA== [fileUNF]
The corpus contains 53 Arabic articles automatically extracted from the PADI-web tool (https://www.padi-web-one-health.org). Each article dealing with animal disease surveillance is associated with an Id. Epidemiological named entities manually extracted from this Arabic corpus:...
MS Excel Spreadsheet - 68,8 KB - MD5: d38d96111cd25c3eeb531e98b0f94bbb
Data
Arabic Corpus (53 PADI-web articles)
Tabular Data - 50,9 KB - 3 Variables, 1066 Observations - UNF:6:/8/tpWu2MzGuGuB5xtMPZA==
Data
Arabic Named Entities dealing with the epidemiology domain
24 juin 2024
Nenwala, Victor Hugo; Foulna Tcheobe, Carmel; Lavarenne, Jérémy, 2024, "Weather Station Data from Northern Cameroon (June 2023 - June 2024)", https://doi.org/10.18167/DVN1/XZZOVN, CIRAD Dataverse, V1
Abstract This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute...
TAR Archive - 29,6 MB - MD5: e3f5dc761ec5e7e2648782be804ae13e
TAR Archive - 27,4 MB - MD5: 2551df664fd93c12afe5caa0f1ed21e8
TAR Archive - 27,9 MB - MD5: 23fcf3844b737184b8c6421483e99a78
Plain Text - 2,3 KB - MD5: d4667d57dd2f3f52acb7307a6c178277
30 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via ordinary kriging", https://doi.org/10.18167/DVN1/KJEA4Q, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
Network Common Data Form - 336,1 MB - MD5: 9fedf47a0669fab17eaf7f399925cb58
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