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3,267 results for “synopsis”
Fig. 3 in Studies in Neotropical Apocynaceae LIV: a synopsis of Asketanthera
Fig. 3. – Distribution map of the four accepted species in Asketanthera Woodson.
Fig. 14 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 14. – Distribution map of Sabicea segregata R.D. Good.
Fig. 10 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 10. – Distribution map of Sabicea proselyta (N. Hallé) Razafim.
Fig. 8 in A synopsis of the Sabicea floribunda group (Rubiaceae) from Central Africa, including three new species
Fig. 8. – Distribution map of Sabicea floribunda K. Schum.
A synopsis of AIRS global-mean clear-sky radiance trends from 2003 to 2020
<p>Here archived the time series of global-mean clear-sky BTs from AIRS observation, GEOS-5, and ERA5 simulations used for trend analysis.</p>
Sinopsis bioclimática y vegetacional de Chile / Bioclimatic and vegetational synopsis of Chile
<p>Este set de datos contiene material suplementario a la segunda edición del libro Sinopsis bioclimática y vegetacional de Chile. / This dataset contains supplementary material for the second edition of the book Bioclimatic and vegetational synopsis of Chile (in Spanish).</p> <p>Descripción de los archivos contenidos en este set de datos. / Description of the files contained in this dataset:</p> <p><strong>shape_pisos.zip:</strong> Cobertura cartográfica digital de los pisos de vegetación de Chile. Sistema de coordenadas GCS WGS84. / Digital maps of the Chilean vegetations belts. Coordinate system GCS WGS84.</p> <p><strong>shape_bioclimas.zip:</strong> Cobertura cartográfica digital de los bioclimas de Chile. Sistema de coordenadas GCS WGS84. / Digital maps of the Chilean bioclimates. Coordinate system GCS WGS84.</p> <p><strong>shape_ombrotipos.zip:</strong> Cobertura cartográfica digital de los ombrotipos de Chile. Sistema de coordenadas GCS WGS84. / Digital maps of the Chilean ombrotypes. Coordinate system GCS WGS84.</p> <p><strong>shape_termotipos.zip:</strong> Cobertura cartográfica digital de los termotipos de Chile. Sistema de coordenadas GCS WGS84. / Digital maps of the Chilean thermotypes. Coordinate system GCS WGS84.</p> <p><strong>shape_continentalidad.zip:</strong> Coberturas cartográficas digitales de los tipos de continentalidad de Chile. Sistema de coordenadas GCS WGS84. / Digital maps of the Chilean continentality types. Coordinate system GCS WGS84.</p> <p><strong>referencias.bib:</strong> Lista completa de referencias citadas en el libro (Luebert & Pliscoff, 2017). / Full list of references cited in the book (Luebert & Pliscoff, 2017). </p> <p><strong>otras_unidades_vegetación.csv:</strong> Información geográfica puntual para otras unidades de vegetación. El campo "Fuente" corresponde al código de las referencias contenidas en el archivo "referencias.bib". / Point geographical information for other vegetation units (otras unidades de vegetación). The field "Fuente" corresponds to the reference keys contained in the file "referencias.bib".<br> <br> <strong>extra_intrazonal.csv:</strong> Información geográfica puntual para las unidades de vegetación intra y extrazonal. Los campos "Fuente" y "Fuente_coordenadas"corresponden al código de las referencias contenidas en el archivo "referencias.bib". / Point geographical information for intra- and extrazonal vegetation units (unidades de vegetación intra y extrazonal). The fields "Fuente" and "Fuente_coordenadas" correspond to the reference keys contained in the file "referencias.bib".</p> <p><strong>pisos_bioclimas.csv:</strong> Correspondencias entre pisos de vegetación y bioclimas. / Correspondences between vegetation belts and bioclimates.</p> <p><strong>representatividad.csv:</strong> Información adicional sobre el análisis de representatividad vegetacional de los pisos de vegetación de Chile en las áreas silvestres protegidas. Se incluye información sobre áreas bajo protección oficial, así como áreas protegidas privadas. Se presentan los resultados de las tres fórmulas utilizadas para el cálculo de representatividad (detalles en Luebert & Pliscoff, 2017). BNP: Bienes Nacionales Protegidos; MN: Monumentos Naturales; PN: Parques Nacionales; RN: Reservas Nacionales; RF: Reservas Forestales; SN: Santuarios de la Naturaleza; ICP: Iniciativas de Conservación Privada; PO: Protección oficial (BNP+MN+PN+RN+RF+SN). / Additional information for the analysis of representativeness of Chilean vegetation belts in the protected area system. Included are public and private protected areas. Results of the three formulas for the calculation of representativeness are provided (for details see Luebert & Pliscoff, 2017). BNP: Protected Public Land; MN: Natural Monuments; PN: National Parks; RN: National Reserves; RF: Forest Reserves; SN: Nature Sanctuaries; ICP: Private Conservation Initiatives; PO: Official Protection (BNP+MN+PN+RN+RF+SN).</p> <p><strong>estado_conservacion.csv:</strong> Información adicional para la determinación de las categorías de riesgo UICN de los pisos de vegetación de Chile. LC: Preocupación menor; VU: Vulnerable; EN: En Peligro; CR: En Peligro Crítico. / Additional information for the determination of IUCN risk categories of Chilean vegetation belts. LC: Least concern; VU: Vulnerable; EN: Endangered; CR: Critically Endangered.</p> <p><strong>cambio_climatico.csv:</strong> Información adicional para el análisis de efectos de cambio climático. Para cada piso de vegetación se indica la superficie modelada y el área de reducción, estabilidad y expansión de superficie bajo cada escenario de cambio climático. Una reducción absoluta en la superfice implica reducción>expansión. Una expansión absoluta en la superfice implica reducción<expansión. Los escenarios de cambio climático son los siguientes: 2050_26, trayectoria de concentración representativa RCP 2,6 para el periodo 2040-2070; 2050_85, trayectoria de concentración representativa RCP 8,5 para el periodo 2040-2070. / Additional information for the analysis of climate change. For each vegetation belt the modeled area and the area of reduction, stability and expansion are indicated under each climate change scenario. A net reduction in area implies reduction>expansion. A net expansion in area implies reduction<expansion. The following climate change scenarios were considered: 2050_26, representative concentration pathway RCP 2,6 for the period 2040-2070; 2050_85, representative concentration pathway RCP 8,5 for the period 2040-2070.</p>
FIGURE 115 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 115. Tropidolaemus subannulatus (Puerto Princesa, Palawan Id.) (KU 309565). Photo © RMB.
FIGURE 103 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 103. Laticauda laticaudata. Photo © JT.
FIGURE 84 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 84. Oxyrhabdium modestum (Agusan del Norte Prov., Mindanao Id.) (KU 334388). Photo © RMB.
MAP 1 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
MAP 1. Topographic base map for the Philippine Archipelago.
FIGURE 101 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 101. Hydrophis [Leioselasma] spiralis. Photo © HV.
FIGURE 22 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 22. Dryophiops philippina (Zamboanga City Prov., Mindanao Id.) (KU 315167). Photo © RMB.
FIGURE 15 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 15. Ahaetulla prasina preocularis (Ilocos Prov., Luzon Id.) (KU 329698). Photo © RMB.
FIGURE 77 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 77. Myersophis alpestris (Holotype) (Mountain Prov., Luzon Id.) (KU 203012). Photo © JLW.
FIGURE 13 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 13. Cerberus schneideri (Guimaras Prov., Guimaras Id.) (KU 302979). Photo © CDS.
FIGURE 70 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 70. Sibynophis bivittatus (Brooke's Point, Palawan Id.) (KU 309608). Photo © RMB.
FIGURE 98 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 98. Hydrophis [Palemis] platuurus. Photo © JT.
FIGURE 69 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 69. Tropidonophis dendrophiops (Cagayan Prov., Luzon Id.) (KU 330031). Photo © RMB.
FIGURE 12 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 12. Aplopeltura boa (Zamboanga City Prov., Mindanao Id.) (KU 315147). Photo © RMB.
FIGURE 27 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 27. Pseudorabdion ater (male) (Zamboanga City Prov., Mindanao Id.) (KU 315197). Photo © RMB.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.