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FIG. 5 in New fossils of Amphicyonidae (Carnivora) from the middle Miocene (MN6) site of Carpetana (Madrid, Spain)
FIG. 5. — Distal fragment of right femur 08.17.10271DFC of Megamphicyon giganteus (Schinz, 1825) from Carpetana: A, distal view; B, cranial view; C, caudal view; D, medial view; E, latera view. Scale bar: 5 cm.
FIG. 4 in New fossils of Amphicyonidae (Carnivora) from the middle Miocene (MN6) site of Carpetana (Madrid, Spain)
FIG. 4. — Left Mc V 08.17.20989FC of Megamphicyon giganteus (Schinz, 1825) from Carpetana: A, proximal view; B, distal view; C, palmar view; D, dorsal view; E, lateral view; F, medial view. Scale bar: 2 cm.
FIG. 10 in New fossils of Amphicyonidae (Carnivora) from the middle Miocene (MN6) site of Carpetana (Madrid, Spain)
FIG. 10. — Comparison between the proximal epiphyses of the left tibia of several carnivorans, in proximal view: A, Megamphicyon giganteus (Schinz, 1825) from Carpetana; B, Panthera leo (Linnaeus, 1758); C, Ursus americanus Pallas, 1780. Scale bar: 2 cm.
FIG. 3 in New fossils of Amphicyonidae (Carnivora) from the middle Miocene (MN6) site of Carpetana (Madrid, Spain)
FIG. 3. — Radius and ulna of Megamphicyon giganteus (Schinz, 1825) from Carpetana. Right radius 08.17.10200FC-1: A, cranial view; B,caudal view. Left ulna 08.17.10199FC: C, lateral view; D, medial view. Scale bar: 5 cm.
FIG. 6. — Left tibia 08.17.10270-6A in New fossils of Amphicyonidae (Carnivora) from the middle Miocene (MN6) site of Carpetana (Madrid, Spain)
FIG. 6. — Left tibia 08.17.10270-6A-FC of Megamphicyon giganteus (Schinz, 1825) from Carpetana: A, cranial view; B, caudal view; C, medial view; D, lateral view; E, proximal view; F, distal view. Scale bar: 5 cm.
FIGURE 3 in The reptile type specimens preserved in the Museo Nacional de Ciencias Naturales (CSIC) of Madrid, Spain
FIGURE 3. Holotype of Thamnodynastes gambotensis Pérez-Santos & Moreno, 1989
FIGURE 1 in The reptile type specimens preserved in the Museo Nacional de Ciencias Naturales (CSIC) of Madrid, Spain
FIGURE 1. Holotype of Podarcis lilfordi porrosicola Pérez-Mellado & Salvador, 1988
FIGURE 2 in The reptile type specimens preserved in the Museo Nacional de Ciencias Naturales (CSIC) of Madrid, Spain
FIGURE 2. Holotype of Agama castroviejoi Padial, 2005
Socio-economic dataset at 1 km grid cell for fire prediction in 1980s and 2000s Madrid (Spain)
<p><span>This data gathers socioeconomic drivers at 1km2 grid cell spatial resolution to predict forest fires in a region in Spain (Madrid) for two periods of time (1980 and 2000s. The response variable was exact located fires by grid cell. <span>The resulting work was published at </span></span>Vilar, L., Gómez, I., Martínez-Vega, J., Echavarría, P., Riaño, D., & Martín, M. P. (2016). Multitemporal modelling of socio-economic wildfire drivers in central Spain between the 1980s and the 2000s: comparing generalized linear models to machine learning algorithms. <em>PLoS One</em>, <em>11</em>(8), e0161344.</p> <p><span>.-Description of the data and file structure</span></p> <p><span>The data set is an excel file with columns for these variables:</span></p> <table> <tbody> <tr> <td>VARIABLES</td> <td>DESCRIPTION</td> </tr> <tr> <td>CellCode</td> <td>ID of the 1*1km cell</td> </tr> <tr> <td>X</td> <td>X cell coordinate</td> </tr> <tr> <td>Y</td> <td>Y cell coordinate</td> </tr> <tr> <td>POP</td> <td>population density</td> </tr> <tr> <td>AGRI</td> <td>agriculture workforce density</td> </tr> <tr> <td>SERV</td> <td>services workforce density</td> </tr> <tr> <td>FAI</td> <td>200 m Forest Agriculture Interface buffer<span> </span></td> </tr> <tr> <td>WUI</td> <td>12.5m Wildland Urban Interface buffer<span> </span></td> </tr> <tr> <td>FGI</td> <td>200 m Forest Grassland Interface buffer<span> </span></td> </tr> <tr> <td>RAILWAYS</td> <td>70 and 100 m railway buffers<span> </span></td> </tr> <tr> <td>ROADS</td> <td>15, 25 and 50 m road buffers<span> </span></td> </tr> <tr> <td>TRACKS</td> <td>300 m tracks buffer<span> </span></td> </tr> <tr> <td>NPA</td> <td>Natural Protected Area</td> </tr> <tr> <td>FIRE_PRESENCE</td> <td>Response variable. Fire presence/absence</td> </tr> </tbody> </table>
Fig. 3 in Hoverflies (Diptera: Syrphidae) of El Ventorrillo Biological Station, Madrid province, Spain: a perspective from a late twentieth century inventory
Fig. 3. Guild diversity of El Ventorrillo hoverflies. Inner circle, for species richness; outer circle, for abundance. 'Saproxylic' is used for saprophagous species depending on trees.
Fig. 1 in Hoverflies (Diptera: Syrphidae) of El Ventorrillo Biological Station, Madrid province, Spain: a perspective from a late twentieth century inventory
Fig. 1: Sierra de Guadarrama (Spain). El Ventorrillo is indicated with a red triangle. All labelled localities belong to Sierra de Guadarrama, although found outside the borders of the national park.
Figure 2 in New species of Hispanomys (Rodentia, Cricetodontinae) from the Upper Miocene of Batallones (Madrid, Spain)
Figure 2. Dental terminology used in this work.
Supplementary material 3 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Figure S1
Supplementary material 2 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Impact assessments and function to calculate G coefficient
Supplementary material 1 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Tables S1–S13
Madrid city mobility data
<p>This file includes mobility data in the form of the total number of travels between districts for the city of Madrid. The quantities are daily and span from February 2020 until May 2021. The data have been curated, being the original raw data extracted from the web of the Spanish Ministry of Transport https://www.mitma.gob.es/ministerio/covid-19/evolucion-movilidad-big-data (In Spanish).</p>
Figure 6 from: Camacho AI, Dorda BA, Chillón BS, Rey I (2017) The collection of Bathynellacea specimens of MNCN (CSIC) Madrid: microscope slices and DNA extract. ZooKeys 678: 31-63. https://doi.org/10.3897/zookeys.678.11543
Figure 6 - Habitus of Parabathynellidae family: Paraiberobathynella cf. fagei (Delamare Deboutteville & Angelier, 1950) from Higuera cave, Murcia (Spain). Lateral view.
Figure 7 from: Camacho AI, Dorda BA, Chillón BS, Rey I (2017) The collection of Bathynellacea specimens of MNCN (CSIC) Madrid: microscope slices and DNA extract. ZooKeys 678: 31-63. https://doi.org/10.3897/zookeys.678.11543
Figure 7 - Permanent slides (special metal slides) of holotypes of the MNCN collections. Mounting medium: glycerine gelatin stained with methylene blue.
Figure 5 from: Camacho AI, Dorda BA, Chillón BS, Rey I (2017) The collection of Bathynellacea specimens of MNCN (CSIC) Madrid: microscope slices and DNA extract. ZooKeys 678: 31-63. https://doi.org/10.3897/zookeys.678.11543
Figure 5 - Number of species by families and continents present in the MNCN collections versus world.
Figure 9 from: Camacho AI, Dorda BA, Chillón BS, Rey I (2017) The collection of Bathynellacea specimens of MNCN (CSIC) Madrid: microscope slices and DNA extract. ZooKeys 678: 31-63. https://doi.org/10.3897/zookeys.678.11543
Figure 9 - Number of species (total and DNA extract) of Bathynellacea by families in the MNCN collections.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.