Occurrence Download
Abstract
A dataset containing 2842 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Alces, Alces alces, Alces americanus, Amphinectomys, Amphinectomys savamis, Anotomys, Anotomys leander, Aonyx, Aonyx capensis, Aonyx cinereus, Aonyx congicus, Arvicola, Arvicola amphibius, Arvicola sapidus, Atilax, Atilax paludinosus, Bibimys, Bibimys torresi, Blastocerus, Blastocerus dichotomus, Bubalus, Bubalus bubalis, Bunolagus, Bunolagus monticularis, Castor, Castor canadensis, Castor fiber, Chibchanomys, Chibchanomys orcesi, Chibchanomys trichotis, Chimarrogale, Chimarrogale hantu, Chimarrogale himalayica, Chimarrogale phaeura, Chimarrogale platycephalus, Chimarrogale styani, Chimarrogale sumatrana, Chironectes, Chironectes minimus, Colomys, Colomys goslingi, Condylura, Condylura cristata, Crossomys, Crossomys moncktoni, Cuniculus, Cuniculus paca, Cynogale, Cynogale bennettii, Dasymys, Dasymys foxi, Dasymys incomtus, Dasymys montanus, Dasymys nudipes, Dasymys rufulus, Desmana, Desmana moschata, Elaphurus, Elaphurus davidianus, Felis, Felis chaus, Galemys, Galemys pyrenaicus, Genetta, Genetta piscivora, Herpestes, Herpestes brachyurus, Herpestes urva, Hexaprotodon, Hexaprotodon liberiensis, Hippopotamus, Hippopotamus amphibius, Holochilus, Holochilus brasiliensis, Holochilus chacarius, Holochilus sciureus, Hydrictis, Hydrictis maculicollis, Hydrochoeris, Hydrochoeris hydrochaeris, Hydromys, Hydromys chrysogaster, Hydromys habbema, Hydromys hussoni, Hydromys neobritannicus, Hydromys shawmayeri, Hydromys ziegleri, Hydropotes, Hydropotes inermis, Hyemoschus, Hyemoschus aquaticus, Ichthyomys, Ichthyomys hydrobates, Ichthyomys pittieri, Ichthyomys stolzmanni, Ichthyomys tweedii, Inia, Inia geoffrensis, Kobus, Kobus ellipsiprymnus, Kobus kob, Kobus leche, Kobus megaceros, Kobus vardonii, Limnogale, Limnogale mergulus, Lipotes, Lipotes vexillifer, Lontra, Lontra canadensis, Lontra longicaudis, Lontra provocax, Lutra, Lutra lutra, Lutra sumatrana, Lutreolina, Lutreolina crassicaudata, Lutrogale, Lutrogale perspicillata, Malacomys, Malacomys cansdalei, Malacomys edwardsi, Malacomys longipes, Mesocapromys, Mesocapromys angelcabrerai, Mesocapromys auritus, Mesocapromys sanfelipensis, Micropotamogale, Micropotamogale lamottei, Micropotamogale ruwenzorii, Microtus, Microtus richardsoni, Mustela, Mustela lutreola, Mustela putorius, Myocastor, Myocastor coypus, Myotis, Myotis adversus, Myotis vivesi, Nectogale, Nectogale elegans, Nectomys, Nectomys apicalis, Nectomys magdalenae, Nectomys palmipes, Nectomys rattus, Nectomys squamipes, Neofiber, Neofiber alleni, Neomys, Neomys anomalus, Neomys fodiens, Neomys teres, Neophocaena, Neophocaena phocaenoides, Neovison, Neovison vison, Neusticomys, Neusticomys monticolus, Neusticomys mussoi, Neusticomys oyapocki, Neusticomys peruviensis, Neusticomys venezuelae, Nilopegamys, Nilopegamys plumbeus, Noctilio, Noctilio albiventris, Noctilio leporinus, Ondatra, Ondatra zibethicus, Orcaella, Orcaella brevirostris, Ornithorhynchus, Ornithorhynchus anatinus, Oryzomys, Oryzomys couesi, Oryzomys palustris, Panthera, Panthera onca, Parahydromys, Parahydromys asper, Pelomys, Pelomys campanae, Pelomys fallax, Pelomys hopkinsi, Pelomys isseli, Pelomys minor, Phoca, Phoca vitulina, Platanista, Platanista gangetica, Platanista minor, Potamogale, Potamogale velox, Prionailurus, Prionailurus planiceps, Prionailurus viverrinus, Procyon, Procyon cancrivorus, Procyon lotor, Procyon pygmaeus, Pteronura, Pteronura brasiliensis, Pusa, Pusa caspica, Pusa hispida hispida, Pusa hispida, Pusa sibirica, Rheomys, Rheomys mexicanus, Rheomys raptor, Rheomys thomasi, Rheomys underwoodi, Sorex, Sorex alaskanus, Sorex bendirii, Sorex palustris, Sotalia, Sotalia fluviatilis, Sotalia guianensis, Sylvilagus aquaticus, Sylvilagus palustris, Thryonomys, Thryonomys gregorianus, Thryonomys swinderianus, Tragelaphus, Tragelaphus spekii, Trichechus, Trichechus inunguis, Trichechus manatus, Trichechus senegalensis, Xenogale, Xenogale naso, Myotis ricketti)", "HasCoordinate is true", "HasGeospatialIssue is false", "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)", "OccurrenceStatus is Present", { "not" : { "Issue" : [ "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)" ] } }, "Geometry MULTIPOLYGON (((36.0689 29.1975, 34.956 29.3566, 34.8322 28.9575, 34.7878 28.6074, 34.6323 28.0585, 35.1302 28.0634, 35.6402 27.3765, 36.2491 26.5701, 36.6396 25.8262, 36.9316 25.603, 37.2095 25.0845, 37.1548 24.8585, 37.4836 24.2855, 38.0239 24.0787, 38.4928 23.6885, 39.0663 22.5797, 39.0237 21.9869, 39.1394 21.2919, 39.8017 20.3389, 40.2477 20.1746, 40.9393 19.4865, 41.2214 18.6716, 41.7544 17.833, 42.2709 17.4747, 42.348 17.0758, 42.6496 16.7746, 42.7793 16.3479, 43.2184 16.6669, 43.1158 17.0884, 43.3808 17.58, 43.7915 17.32, 44.0626 17.4104, 45.2167 17.4333, 45.4 17.3333, 46.3667 17.2333, 46.75 17.2833, 47 16.95, 47.4667 17.1167, 48.1833 18.1667, 49.1167 18.6167, 52 19, 55 20, 55.6667 22, 55.2083 22.7083, 55.0068 22.4969, 52.0007 23.0012, 51.6177 24.0142, 51.5795 24.2455, 51.3896 24.6274, 51.1124 24.5563, 50.8101 24.7547, 50.6606 24.9999, 50.5274 25.3278, 50.2399 25.608, 50.1133 25.944, 50.2129 26.277, 50.1524 26.6897, 49.4709 27.11, 49.2996 27.4612, 48.8076 27.6896, 48.4161 28.552, 48.0939 29.3063, 48.1832 29.5345, 47.9745 29.9758, 47.3026 30.0591, 46.5687 29.099, 44.7095 29.1789, 41.89 31.19, 40.4 31.89, 39.1955 32.161, 39.0049 32.0102, 37.0022 31.5084, 37.9988 30.5085, 37.6681 30.3387, 37.5036 30.0038, 36.7405 29.8653, 36.5012 29.5053, 36.0689 29.1975)), ((76.8717 34.6535, 77.8375 35.494, 76.1928 35.8984, 75.8969 36.6668, 75.158 37.133, 74.5759 37.0208, 74.0676 36.8362, 72.92 36.72, 71.8463 36.5099, 71.2623 36.0744, 71.4988 35.6506, 71.6131 35.1532, 71.115 34.7331, 71.1568 34.3489, 70.8818 33.9889, 69.9305 34.0201, 70.3236 33.3585, 69.6871 33.1055, 69.2625 32.5019, 69.3178 31.9014, 68.9267 31.6202, 68.5569 31.7133, 67.7927 31.5829, 67.6834 31.3032, 66.9389 31.3049, 66.3815 30.7389, 66.3465 29.8879, 65.0469 29.4722, 64.3504 29.56, 64.148 29.3408, 63.5503 29.4683, 62.5499 29.3186, 60.8742 29.8292, 61.3693 29.3033, 61.7719 28.6993, 62.7278 28.2596, 62.7554 27.3789, 63.2339 27.217, 63.3166 26.7565, 61.8742 26.24, 61.4974 25.0782, 62.9057 25.2184, 64.5304 25.237, 66.3728 25.4251, 67.1454 24.6636, 67.4437 23.9448, 68.1766 23.692, 68.8426 24.3591, 71.0432 24.3565, 70.8447 25.2151, 70.2829 25.7222, 70.1689 26.4919, 69.5144 26.941, 70.6165 27.9892, 71.7777 27.9132, 72.8238 28.9616, 73.4506 29.9764, 74.4214 30.9798, 74.4059 31.6926, 75.2586 32.2711, 74.4516 32.7649, 74.1043 33.4415, 73.7499 34.3177, 74.2402 34.7489, 75.7571 34.5049, 76.8717 34.6535)), ((104.2814 14.4167, 105.2188 14.2732, 105.5443 14.7239, 105.589 15.5703, 104.7793 16.4419, 104.7169 17.4289, 103.9565 18.241, 103.2002 18.3096, 102.9987 17.9617, 102.413 17.9328, 102.1136 18.1091, 101.0595 17.5125, 101.0359 18.4089, 101.282 19.4626, 100.6063 19.5083, 100.5489 20.1092, 100.116 20.4178, 99.5433 20.1866, 98.9597 19.753, 98.2537 19.7082, 97.7978 18.6271, 97.3759 18.4454, 97.8591 17.5679, 98.4938 16.8378, 98.9033 16.1778, 98.5374 15.3085, 98.1921 15.1237, 98.4308 14.622, 99.0978 13.8275, 99.212 13.2693, 99.1964 12.8047, 99.5873 11.8928, 99.0381 10.9605, 98.5536 9.933, 98.2592 8.9739, 98.15 8.35, 98.3397 7.7945, 98.5038 8.3823, 98.9883 7.908, 99.5196 7.3435, 99.6907 6.8482, 100.0858 6.4645, 100.2596 6.6428, 101.0755 6.2049, 101.1542 5.6914, 101.8143 5.8108, 102.1412 6.2216, 101.6231 6.7406, 101.0173 6.8569, 100.4593 7.4296, 100.2796 8.2952, 99.8738 9.2079, 99.2224 9.2393, 99.1538 9.9631, 99.4789 10.8464, 100.0187 12.307, 100.0978 13.4069, 100.9785 13.4127, 100.8318 12.6271, 101.6872 12.6457, 102.5849 12.1866, 102.3481 13.3942, 102.9884 14.2257, 104.2814 14.4167)), ((124.9687 -8.8928, 125.07 -9.09, 125.0885 -9.3932, 125.9259 -9.106, 126.968 -8.6683, 127.3359 -8.3973, 126.9572 -8.2733, 126.6447 -8.3982, 125.9471 -8.4321, 125.0862 -8.6569, 124.9687 -8.8928)))" ] } The dataset includes 2842 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021806-260226173443078/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
Fields of Study & Subjects
Wildlife Ecology and Conservation
Species Distribution and Climate Change
Animal Ecology and Behavior Studies
Publication details
- Journal / source
- Global Biodiversity Information Facility
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset