ARISIDO, MAEREGU WOLDEYES
Distribuzione geografica
| Continente | # |
|---|---|
| NA - Nord America | 457 |
| AS - Asia | 153 |
| EU - Europa | 116 |
| AF - Africa | 7 |
| SA - Sud America | 2 |
| Continente sconosciuto - Info sul continente non disponibili | 1 |
| OC - Oceania | 1 |
| Totale | 737 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 445 |
| CN - Cina | 119 |
| IT - Italia | 37 |
| FR - Francia | 20 |
| CA - Canada | 11 |
| DE - Germania | 10 |
| GB - Regno Unito | 10 |
| ID - Indonesia | 8 |
| ES - Italia | 6 |
| IE - Irlanda | 6 |
| KH - Cambogia | 6 |
| KR - Corea | 6 |
| PL - Polonia | 6 |
| IN - India | 4 |
| GR - Grecia | 3 |
| LT - Lituania | 3 |
| RU - Federazione Russa | 3 |
| TW - Taiwan | 3 |
| UA - Ucraina | 3 |
| DZ - Algeria | 2 |
| IL - Israele | 2 |
| NO - Norvegia | 2 |
| SE - Svezia | 2 |
| VN - Vietnam | 2 |
| ZA - Sudafrica | 2 |
| A1 - ???statistics.table.value.countryCode.A1??? | 1 |
| AT - Austria | 1 |
| AU - Australia | 1 |
| BO - Bolivia | 1 |
| EC - Ecuador | 1 |
| EE - Estonia | 1 |
| EG - Egitto | 1 |
| ET - Etiopia | 1 |
| FI - Finlandia | 1 |
| HK - Hong Kong | 1 |
| HU - Ungheria | 1 |
| KE - Kenya | 1 |
| LU - Lussemburgo | 1 |
| MX - Messico | 1 |
| NP - Nepal | 1 |
| TH - Thailandia | 1 |
| Totale | 737 |
| Città | # |
|---|---|
| Houston | 77 |
| Fairfield | 63 |
| Ann Arbor | 37 |
| Ashburn | 27 |
| Seattle | 27 |
| Santa Cruz | 22 |
| Cambridge | 18 |
| Woodbridge | 18 |
| Changsha | 17 |
| Shenyang | 17 |
| Guangzhou | 14 |
| Wilmington | 14 |
| Buffalo | 10 |
| San Diego | 9 |
| Harbin | 7 |
| Menlo Park | 6 |
| Mountain View | 6 |
| Norwalk | 6 |
| Veneto | 6 |
| Warsaw | 6 |
| Claremont | 5 |
| Hebei | 5 |
| Las Vegas | 5 |
| Nanchang | 5 |
| Ottawa | 5 |
| Shanghai | 5 |
| Zhengzhou | 5 |
| Beijing | 4 |
| Bengaluru | 4 |
| Chicago | 4 |
| Clearwater | 4 |
| Dallas | 4 |
| Des Moines | 4 |
| Dublin | 4 |
| Chongqing | 3 |
| Fleming Island | 3 |
| Henderson | 3 |
| Jinan | 3 |
| Los Angeles | 3 |
| Milan | 3 |
| Nanjing | 3 |
| Taipei | 3 |
| Toronto | 3 |
| Venezia | 3 |
| Vilá | 3 |
| Wuhan | 3 |
| Austin | 2 |
| Boardman | 2 |
| Boulder | 2 |
| Büdelsdorf | 2 |
| Changchun | 2 |
| Chengdu | 2 |
| Córdoba | 2 |
| Dearborn | 2 |
| Dong Ket | 2 |
| Iowa City | 2 |
| Lake Forest | 2 |
| Muizenberg | 2 |
| New Westminster | 2 |
| Oslo | 2 |
| Palo Alto | 2 |
| Phoenix | 2 |
| San Nicola | 2 |
| Toulouse | 2 |
| University Park | 2 |
| Andover | 1 |
| Ashdod | 1 |
| Athens | 1 |
| Aulnay-sous-bois | 1 |
| Baotou | 1 |
| Beaverton | 1 |
| Berlin | 1 |
| Bremen | 1 |
| Brest | 1 |
| Brisbane | 1 |
| Brooklyn | 1 |
| Böblingen | 1 |
| Cagliari | 1 |
| Carquefou | 1 |
| Castelfranco Veneto | 1 |
| Chaoyang | 1 |
| Cheyenne | 1 |
| Dolo | 1 |
| Durham | 1 |
| Giovinazzo | 1 |
| Guayaquil | 1 |
| Hangzhou | 1 |
| Hefei | 1 |
| Hesperange | 1 |
| Jacksonville | 1 |
| Jerusalem | 1 |
| Kakamega | 1 |
| Kathmandu | 1 |
| Kisa | 1 |
| Kunming | 1 |
| La Paz | 1 |
| Lanzhou | 1 |
| Lishui | 1 |
| Livorno | 1 |
| Martellago | 1 |
| Totale | 579 |
| Nome | # |
|---|---|
| A Bayesian hierarchical approach for spatial analysis of climate model bias in multi-model ensembles, file e4239ddc-b32e-7180-e053-3705fe0a3322 | 348 |
| El Niño as a predictor of round sardinella distribution along the northwest African coast, file e4239ddd-a168-7180-e053-3705fe0a3322 | 298 |
| Spatio-temporal quantification of climate model errors in a Bayesian framework, file e4239ddc-f776-7180-e053-3705fe0a3322 | 124 |
| Totale | 770 |
| Categoria | # |
|---|---|
| all - tutte | 960 |
| article - articoli | 0 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 960 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017/2018 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 2018/2019 | 39 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 10 | 12 | 8 |
| 2019/2020 | 113 | 7 | 12 | 17 | 19 | 9 | 6 | 5 | 6 | 4 | 9 | 3 | 16 |
| 2020/2021 | 210 | 9 | 10 | 11 | 5 | 11 | 50 | 25 | 13 | 26 | 25 | 12 | 13 |
| 2021/2022 | 311 | 28 | 37 | 35 | 69 | 34 | 13 | 27 | 16 | 9 | 4 | 29 | 10 |
| 2022/2023 | 95 | 5 | 13 | 24 | 10 | 10 | 6 | 9 | 9 | 9 | 0 | 0 | 0 |
| Totale | 770 | ||||||||||||