Find research datasets worth reusing

Fig. 12 in The Longhorn Beetles (Coleoptera: Cerambycidae) Of Nebraska, Usa: New State Records, A Checklist Of Known Species, And Distribution Maps

Fig. 12. Distribution of six species of Tetraopes by county in Nebraska.

Fig. 4 in The Longhorn Beetles (Coleoptera: Cerambycidae) Of Nebraska, Usa: New State Records, A Checklist Of Known Species, And Distribution Maps

Fig. 4. Distribution of 18 species of Cerambycidae by county in Nebraska.

Fig. 11 in The Longhorn Beetles (Coleoptera: Cerambycidae) Of Nebraska, Usa: New State Records, A Checklist Of Known Species, And Distribution Maps

Fig. 11. Distribution of 14 species of Cerambycidae by county in Nebraska.

Fig. 3 in The Longhorn Beetles (Coleoptera: Cerambycidae) Of Nebraska, Usa: New State Records, A Checklist Of Known Species, And Distribution Maps

Fig. 3. Distribution of 18 species of Cerambycidae by county in Nebraska.

opennotspecifiedDec 2012View details →

Figs. 10–11. Distribution maps. 10 in Restoration Of The Name Dichaeta Ussurica Krivosheina, 1986 (Diptera: Ephydridae)

Figs. 10–11. Distribution maps. 10 – Dichaeta transversa (after Mathis & Zarwarnicki,

MAP 4 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 4. Distribution of the Pyidicranidae.

MAP 1 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 1. Distribution of the Karschiellidae.

MAP 3 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 3. Distribution of the Diplatyidae.

MAP 7 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 7. Distribution of the Anisolabiidae.

MAP 2 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 2. Distribution of Haplodiplatys.

MAP 8 in The geographical distribution of the Dermaptera (Insecta) with reference to continental drift

MAP 8. Distribution of the Spongiphoridae.

opennotspecifiedDec 2010View details →

Figs. 22–23. Distribution maps. 22 in Monolepta meihuai, a New Species from Taiwan, with Redescription of Its Sibling Species Monolepta mandibularis Chûjô, 1962 (Coleoptera: Chrysomelidae: Galerucinae)

Figs. 22–23. Distribution maps. 22) Monolepta mandibularis; 23) Monolepta meihuai.

opennotspecifiedJan 2022View details →

Fig. 8. Distribution map for Cisandina n in Systematic Revision of a New Butterfly Genus, Cisandina Nakahara & Espeland, n. gen., with Descriptions of Three New Taxa (Lepidoptera: Nymphalidae: Satyrinae)

Fig. 8. Distribution map for Cisandina n. gen. taxa discussed herein.

opencc-zeroDec 2023View details →

Supplementary material 1 from: Prodanov B, Dimitrov L, Kotsev I, Bekova R, Lambev T (2023) Spatial distribution of sand dunes along the Bulgarian Black Sea coast: inventory, UAS mapping and new discoveries. Nature Conservation 54: 81-120. https://doi.org/10.3897/natureconservation.54.105507

List of identified beach-dune systems along the Bulgarian Black Sea coast

opennotspecifiedNov 2024View details →

FIGURE 5. Distribution maps. A. Exophthalmida species. B in Discovery of Elytrurini in Wallacea with a description of Exophthalmida elytrodon sp. nov. from Morotai Island (Coleoptera: Curculionidae: Entiminae)

FIGURE 5. Distribution maps. A. Exophthalmida species. B. Elytrurini.

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Mapping the páramo land cover in the Northern Andes: Figure S4 Expert land-cover classification of the Andean páramo and distribution according to three groups: natural vegetation, natural abiotic and anthropogenic, and 12 classes

The Andean páramo is a biodiverse and vulnerable tropical high-mountain region, whose spatio-ecological patterns remain understudied. The lack of general characterization of its overall extent, land-cover classes, and treeline spatial features hinders our capacity to understand its responses to human impacts and predict future land-system changes. To address this knowledge gap, we classified the land-cover of the páramo in the northern Andes. Moreover, we estimated 1) the páramo's total extent and distribution among countries, 2) the relative extent of 12 of its main land-cover classes, categorized into natural vegetation, natural abiotic and anthropogenic groups, and 3) the preliminary position and anthropogenic influence of its bordering treeline. Relying on Landsat 8 imagery, we performed hybrid manual-automated classifications using the Maximum Likelihood and Random Forest algorithms. The two resulting final classifications were manually checked for errors compared to Google Earth and VegPáramo data, and used to produce the expert classification. Finally, we delimited the treeline based on regional forest connectivity, and applied it to the expert classification to evaluate páramo elevations, surface areas and land-cover classes above the treeline. The páramo extent was estimated at 24,301 km2, distributed between Ecuador (47%), Colombia (43%), Venezuela (8%) and Peru (2%). Natural vegetation, especially shrublands, rosette plant communities and grasslands were dominant (altogether, 65%), whereas classes reflecting intense land-use covered 12% overall. The average treeline reached 3546 m and was bordered uphill at 16% with anthropogenic land-cover classes. The páramo's extent is smaller than previously suggested. It remains a (semi-) natural region, yet crop and pasture expansion towards high elevations is a critical concern for long-term sustainability. Future research can build on our findings to predict land-system changes and assess priority areas for conservation. We recommend for future research to focus on remnant forest patches and treeline connectivity in priority.

opencc-zeroNov 2021View details →

opennotspecifiedMar 2021View details →

FIGURE. Distribution map for E in Novelties in Malagasy Euphorbia (Euphorbiaceae)

FIGURE. Distribution map for E. bevilaniensis (green), E. imperatae (blue), and E. milii (red).

opennotspecifiedJan 2022View details →

FIGURE. Distribution map of Ephedra aurea (red dots) in Sicily based on herbarium materials. in Ephedra aurea (Ephedraceae), a new species from Sicily

FIGURE. Distribution map of Ephedra aurea (red dots) in Sicily based on herbarium materials.

opencc-by-4.0Mar 2022View details →

Geographic range maps for Mammal Diversity Database v1.2 taxonomy from "Expert range maps of global mammal distributions harmonised to three taxonomic authorities"

Data mirroring for long-term integrity of these critical geospatial resources.  Included here are expert geographic range maps aligned to the taxonomy of the Mammal Diversity Database (MDD) version 1.2, which was published on 24 Sept 2020 https://zenodo.org/record/4139818.  That taxonomy includes 6,485 total species, of which 103 are considered recently extinct, 20 are considered domestic extant, and 6,362 are considered wild extant (this corrects for 1 species, Capra hircus, that was incorrectly coded as 'domestic=0' rather than 'domestic=1' in the MDD v1.2).  For this mapping project, only 6,362 species from MDD v1.2 have maps -- this total: <ul> <li>excludes all extinct and domestic species;</li> <li>excludes 2 species for which no spatial information was available (Nycticeius aenobarbus and Phoniscus aerosus); and</li> <li>includes 2 species (Elaphurus davidianus and Oryx dammah) that are extinct in the wild (EW) in IUCN, have recent range information and were included in the MDD as extant.</li> </ul> ### File inventory ### <ul> <li>Order-level zipped files (27 total), one for each extant order of mammals, unzips to geopackage (*.gpg) format;</li> <li>Mammalia-wide zipped file (1: "MDD_Mammalia.zip"), includes maps for all 27 orders, unzips to gpg format;</li> <li>Full taxonomy for MDD v1.2 (as published on https://zenodo.org/record/4139818) in csv format ("MDD_v1.2_all_6485species.csv"); and</li> <li>Subset of MDD v1.2 taxonomy for which range maps are here provided (6,362 species) in csv format ("mdd_spList_wFamilieswOrders_mapped_6362species.csv").</li> </ul> ### Full citation ### Marsh, C.J., Sica, Y.V., Burgin, C.J., Dorman, W.A., Anderson, R.C., del Toro Mijares, I., Vigneron, J.G., Barve, V., Dombrowik, V.L., Duong, M., Guralnick, R., Hart, J.A., Maypole, J.K., McCall, K., Ranipeta, A., Schuerkmann, A., Torselli, M.A., Lacher Jr, T., Mittermeier, R.A., Rylands, A.B., Sechrest, W., Wilson, D.E., Abba, A.M., Aguirre, L.F., Arroyo-Cabrales, J., Astúa, D., Baker, A.M., Braulik, G., Braun, J.K., Brito, J., Busher, P.E., Burneo, S.F., Camacho, M.A., Cavallini, P., de Almeida Chiquito, E., Cook, J.A., Cserkész, T., Csorba, G., Cuéllar Soto, E., da Cunha Tavares, V., Davenport, T.R.B., Deméré, T., Denys, C., Dickman, C.R., Eldridge, M.D.B., Fernandez-Duque, E., Francis, C.M., Frankham, G., Franklin, W.L., Freitas, T., Friend, J.A., Gadsby, E.L., Garbino, G.S.T., Gaubert, P., Giannini, N., Giarla, T., Gilchrist, J.S., Gongora, J., Goodman, S.M., Gursky-Doyen, S., Hackländer, K., Hafner, M.S., Hawkins, M., Helgen, K.M., Heritage, S., Hinckley, A., Hintsche, S., Holden, M., Holekamp, K.E., Honeycutt, R.L., Huffman, B.A., Humle, T., Hutterer, R., Ibáñez Ulargui, C., Jackson, S.M., Janecka, J., Janecka, M., Jenkins, P., Ju&scaron;kaitis, R., Juste, J., Kays, R., Kilpatrick, C.W., Kingston, T., Koprowski, J.L., Kry&scaron;tufek, B., Lavery, T., Lee Jr, T.E., Leite, Y.L.R., Novaes, R.L.M., Lim, B.K., Lissovsky, A., López-Antoñanzas, R., López-Baucells, A., MacLeod, C.D., Maisels, F.G., Mares, M.A., Marsh, H., Mattioli, S., Meijaard, E., Monadjem, A., Morton, F.B., Musser, G., Nadler, T., Norris, R.W., Ojeda, A., Ordóñez-Garza, N., Pardiñas, U.F.J., Patterson, B.D., Pavan, A., Pennay, M., Pereira, C., Prado, J., Queiroz, H.L., Richardson, M., Riley, E.P., Rossiter, S.J., Rubenstein, D.I., Ruelas, D., Salazar-Bravo, J., Schai-Braun, S., Schank, C.J., Schwitzer, C., Sheeran, L.K., Shekelle, M., Shenbrot, G., Soisook, P., Solari, S., Southgate, R., Superina, M., Taber, A.B., Talebi, M., Taylor, P., Vu Dinh, T., Ting, N., Tirira, D.G., Tsang, S., Turvey, S.T., Valdez, R., Van Cakenberghe, V., Veron, G., Wallis, J., Wells, R., Whittaker, D., Williamson, E.A., Wittemyer, G., Woinarski, J., Zinner, D., Upham, N.S., Jetz, W., 2022. Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography 49 (5): 979-992. <a href="https://doi.org/10.1111/jbi.14330">https://doi.org/10.1111/jbi.14330</a>   ### Data downloads on Map of Life ### All range maps for the three taxonomic sources are openly available for non-commercial use through https://mol.org/datasets or at species-level at https://mol.org/species, or for bulk download at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD).   ### Abstract ### Aim: Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the Handbook of the Mammals of the World (HMW) and the Illustrated Checklist of the Mammals of the World (CMW). Location: Global. Taxon: All extant mammal species. Methods: Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species). Results: Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use. Main conclusion: Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control. Keywords: GIS; Mammalia; biodiversity; biogeography; conservation planning; mapping; species distributions.