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687 results for “Central Mexico”
Biocrust in compost addition plots in central New Mexico (2021-2024)
We investigated how 6.3 mm of surface-dressed compost (food-based vs. manure-based) at a central New Mexico, USA Tribal rangeland affected the temperature, soil C and N percent and stable isotope values values, and aggregate stability using the Herrick dip test.
Occurrence dataset for the subspecies of the American badger (Taxidea taxus berlandieri) in the north-central region of Mexico
<p>The subspecies of American badger (<em>Taxidea taxus berlandieri </em>Baird, 1858), also called tlalcoyote (Figure 1), is distributed in north-central Mexico. However, its occurrence records are scarce and the few that exist are uncertain due to incorrect georeferencing or identification of the taxonomic unit. In view of this, we disgned a spatial sampling in part of the states of Coahuila de Zaragoza, Durango, Nuevo León, San Luis Potosí and Zacatecas. In this north-central protion of Mexico, we generated a grid of squares measuring 5 × 5 km over the entire study area using QGIS® 3.10 software. Subsequently, we excluded squares that included urban settlements, agricultural land, or water bodies in more than 30% of their extension; we also descarted squares located at an altitude over 2,250 meters above sea level. To perform this filtering, we used both the land use and vegetation chart of the INEGI [Instituto Nacional de Estadística, Geografía e Informática] (2018) and the Digital Elevation Model (DEM) downloaded from the USGS page [United States Geological Survey] (2019) as a basis. As result, we obtained 3,471 squares separated by at least 5 km. Then, through simple random sampling, 177 (≈5%) squares were selected, where we generated centroids to be used as sampling sites. </p> <p>In field work, between 2009 and 2015, at these 177 sites we traced a 10 × 100 m transect, where we searched for<em> T. t. berlandieri</em> signs (i.e., burrows and scratching posts). In this case, their burrows and scratching posts are easily observed and quantified, and there is no chance of mistaking them for burrows of other species (Long 1973; Merlin 1999). Also, we recorded possible sightings, as other studies (e.g., Merlin 1999; Elbroch 2003). As result, we only found 33 with signs of occurrence. </p> <p><a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Figure%201.%20Taxidea%20taxus%20Berlandieri%20Baird%2C%201858.jpeg">Figure 1.</a> Individual of tlalcoyote (<em>Taxidea taxus Berlandieri</em>). Photo obtained from Naturalista (2023) and uploaded by David Molina©. All rights reserved (CC BY-NC-ND).</p> <p>To increase the number of records, we included occurrence data from GBIF [Global Biodiversity Information Facility portal] (2022). We downloaded only the records that included coordinates and that their basis of registration was "preserved specimen". This, because they are correctly identified as specimens from biological collections (Maldonado <em>et al.</em> 2015). In addition, we only selected records for Mexico. Subsequently, we filtered the downloaded database, discarding records that were incorrectly georeferenced, with atypical and duplicate coordinates, as well as with low geospatial accuracy (e.g., less than three decimals of precision).</p> <p>We loaded the remaining data into the QGIS® software and performed a spatial filtering, where we excluded data that were outside the study area, located in unlikely areas (e.g., human settlements, bodies of water, agricultural areas) and with a distance of less than 5 km from the records obtained in the field. This gave a total of 10 records from the GBIF portal. Finally, we loaded the raster layers of elevation (Elev; INEGI 2007), normalized difference vegetation index (NDVI, USGS 2019) and the slope of the terrain into the software to extract the pixel values based on the GBIF records and those obtained in the field. With this, we generated a new global dataset to which we performed environmental filtering to find environmental outliers. We plotted the normality distribution of the data for each variable and the dispersion of the data among the variables. In this filtering, we conserve all records. Figure 2 shows the normality distribution of the records as a function of Elev. Figure 3 shows the dispersion of the data between Elev and NDVI.</p> <p><a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Figure%202.%20Normal%20distribution.png">Figure 2.</a> Normality distribution of <em>T. t. berlandieri</em> occurrence records as a function of the elevation variable (Elev).</p> <p><a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Figure%203.%20Scatter%20plot.png">Figure 3.</a> Scatter plot of <em>T. t. berlandieri</em> occurrence records as a function of elevation (Elev) and normalized difference vegetation index (NDVI).</p> <p>For the north-central region of Mexico, we present the global database (i.e., <a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Tatabe_joint.csv">Tatabe_joint.csv</a>), as well as the database that contains only the field evidence records (i.e., <a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Tatabe_first_order.csv">Tatabe_first_order.csv</a>) and another one with the filtered GBIF records (i.e., <a href="https://zenodo.org/api/files/9a8452c6-15e2-43cd-9c07-27b7fc1d422a/Tatabe_GBIF.csv">Tatabe_GBIF.csv</a>).</p>
FIG. 7 in The use of animals in Northern Mesoamerica, between the Classic and the Conquest (200-1521 AD). An attempt at regional synthesis on central Mexico
FIG. 7. — Proportion of animals targeted by hunting (grey), garden-hunting (black) or both methods (white) in each sites.
FIG. 6 in The use of animals in Northern Mesoamerica, between the Classic and the Conquest (200-1521 AD). An attempt at regional synthesis on central Mexico
FIG. 6. — Hierarchical clustering of the: A, taxa; and B, sites analysed in the Canonical Analysis. Abbreviations: Aq., Aquatic animals; Can., Canids; Oth., Miscelanaous taxa; Exo., exotic animals; Ov., white-tailed deer; Art., other artiodactyls; Fel., felids; Sc., small carnivores; Lag., lagomorpha; Com., commensal animals; Tur, turkey; Rap., prey birds; Tiz., Tizayuca; Calix., Calixtlahuaca; Bar-Clas., Barajas Classic/Early Postclassic occupation; Bar-PCR, Barajas Late Postclassic occupation; E.S., El Salitre; Ang., Angamuco.
FIG. 5 in The use of animals in Northern Mesoamerica, between the Classic and the Conquest (200-1521 AD). An attempt at regional synthesis on central Mexico
FIG. 5. — Distribution of CA scores on: A, C1xC2 axes; and B, C1xC3 axes. Taxa bubbles surfaces represent their actual inertia in each plan. Sites and sup- plemental individuals are normalized to 1. Abbreviations: Aq., Aquatic animals; Can., Canids; Com., commensal animals; Ov., white-tailed deer; Tur, turkey.
FIG. 5 in Gender expression in Sedum praealtum A. DC. (Crassulaceae) in Central Veracruz, Mexico
FIG. 5. — Floral display size in Sedum praealtum A. DC. (Crassulaceae): A, number of inflorescences; B, number of flowers; C, sex ratio (female-phase flowers/ total number of flowers). Values are means ± SE.
FIG. 3 in Gender expression in Sedum praealtum A. DC. (Crassulaceae) in Central Veracruz, Mexico
FIG. 3. — Scheme of inflorescence architecture of Sedum praealtum A. DC. (Crassulaceae). A, Basal-positioned floral buds; B, Distal-positioned floral buds.
FIG. 4 in Gender expression in Sedum praealtum A. DC. (Crassulaceae) in Central Veracruz, Mexico
FIG. 4. — Comparison between basal-positioned floral buds (black circles) and distal-positioned floral buds (white circles) in its probability of reaching anthesis during observation period. The S(t) abbreviation is the probability that a floral bud has not opened. Time until floral bud reaches anthesis refers to the time elapsed since the begin of the observation period. Solid line shows mean of time that basal-positioned floral buds open, and dashed line shows mean of time that distal-positioned floral buds open.
FIG. 2 in Gender expression in Sedum praealtum A. DC. (Crassulaceae) in Central Veracruz, Mexico
FIG. 2. — Floral traits in Sedum praealtum A. DC. (Crassulaceae). A, Floral longevity (days); B, Onset of female-phase flowers (days); C, Female-phase duration (days). Values are means ± SE.
FIG. 1 in Gender expression in Sedum praealtum A. DC. (Crassulaceae) in Central Veracruz, Mexico
FIG. 1. — Male-phase and female-phase flowers of Sedum praealtum A. DC. (Crassulaceae). A, Male-phase flower with dehiscent anthers; B, Female-phase flower with expansion of the stigmas. Photos by Angélica Hernández-Ramírez. Scale bars: 0.5 cm.
FIGURE 32 in A revision of Oocyclus Sharp of Mexico and Central America (Coleoptera: Hydrophilidae)
FIGURE 32. Habitat of Oocyclus species. Costa Rica: Puntarenas Province. Photo by W. Shepard, 18 June 2003.
FIGURES 30 – 31 in A revision of Oocyclus Sharp of Mexico and Central America (Coleoptera: Hydrophilidae)
FIGURES 30 – 31. Habitat of Oocyclus species. Photos by A. E. Z. Short. – 30. Type locality & habitat of O. catarata n. sp., Costa Rica: Alajuela Province, 15.4 km S. Poasito, 16 January 2004. – 31. Collecting locality for O. catarata n. sp., O. funestus n. sp., & O. maculatus Sharp, Costa Rica: Alajuela Province, Catarata del Toro, 15 January 2004.
FIGURES 28 – 29 in A revision of Oocyclus Sharp of Mexico and Central America (Coleoptera: Hydrophilidae)
FIGURES 28 – 29. Habitat of Oocyclus species. Photos by A. E. Z. Short. – 28. Type locality & habitat of O. muscus n. sp., Costa Rica, Cartago Province, Tapantí National Park, 6 January 2004. – 29. Type locality & habitat of O. tapanti n. sp. and collecting locality for O. maculatus Sharp & O. ornatus n. sp., Costa Rica, Tapantí National Park, 8 January 2004.
FIGURE 5. a in Two new species of the genus Xenotoca Hubbs and Turner, 1939 (Teleostei, Goodeidae) from central-western Mexico
FIGURE 5. a) Xenotoca doadrioi, Holotype male CPUM- 9589 and female from San Sebastian b) Xenotoca lyonsi, Holotype male CPUM- 9590 and female from Tamazula c) Xenotoca eiseni, male and female from Compostela population picture by Wolfgang Gessl www. pisces. at
FIGURE 2. Landmarks used for obtain the linear measurements, 1 in Two new species of the genus Xenotoca Hubbs and Turner, 1939 (Teleostei, Goodeidae) from central-western Mexico
FIGURE 2. Landmarks used for obtain the linear measurements, 1 to 9 standard length (SL); 1 to 5 head length (HL); 4 to 17 head high (HH); 1 to 2 preorbital length (PrOL); 3 to 5 postorbital length (POL); 2 to 3 eye diameter (ED); 8 to 11 body least depth (BLD); 13 to 14 pelvic-anal fin distance (PAD); 14 to 6 pelvic-dorsal fin distance (PDD); 14 to 15 pelvic-pectoral fin distance (PPD); 6 to 13 dorsal-anal fin distance (DAD); 6 to 12 dorsal fin origin to anal fin posterior extent distance (DOAE); 7 to 13 dorsal fin posterior extent to anal fin origin distance (DEAO); 7 to 9 end of dorsal fin-hypural plate distance (EDHP); 9 to 12 end of the anal fin-hypural plate distance (EAHP); 6 to 7 dorsal fin base length (DFL); 12 to 13 anal fin base length (AFL); 15 to 16 pectoral fin base length (PFL); 10 to 12 caudal peduncle length (CPL).
Figures 1–5. Haroldiellus species. 1 in A third species of Haroldiellus Gordon and Skelley, 2007 from Mexico and Central America (Coleoptera: Scarabaeidae: Aphodiinae: Aphodiini)
Figures 1–5. Haroldiellus species. 1) H. sallei dorsal habitus. 2) H. lansbergei dorsal habitus. 3) H. woodruffi, holotype, dorsal habitus. 4) H. sallei protibia dorsal surface with punctures. 5) H. woodruffi protibia dorsal surface without punctures. Scale line = 0.5 mm.
Figure 11 in A third species of Haroldiellus Gordon and Skelley, 2007 from Mexico and Central America (Coleoptera: Scarabaeidae: Aphodiinae: Aphodiini)
Figure 11. Distribution map of Haroldiellus sallei (blue) as currently known from specimen labels and literature records. Map made with SimpleMappr (Shorthouse 2010).
Figure 17 in A third species of Haroldiellus Gordon and Skelley, 2007 from Mexico and Central America (Coleoptera: Scarabaeidae: Aphodiinae: Aphodiini)
Figure 17. Distribution map of Haroldiellus woodruffi new species (blue) as currently known from specimen labels. Map made with SimpleMappr (Shorthouse 2010).
Figures 12–16. Haroldiellus woodruffi, male holotype. 12 in A third species of Haroldiellus Gordon and Skelley, 2007 from Mexico and Central America (Coleoptera: Scarabaeidae: Aphodiinae: Aphodiini)
Figures 12–16. Haroldiellus woodruffi, male holotype. 12) Lateral habitus. 13) Ventral habitus. 14) Epipharynx. 15–16) Genitalia dorsal and lateral. Scale line = 0.5 mm (figure 12 same scale bar as 13, figure 16 same scale bar as 15).
Figures 6–9 in A third species of Haroldiellus Gordon and Skelley, 2007 from Mexico and Central America (Coleoptera: Scarabaeidae: Aphodiinae: Aphodiini)
Figures 6–9. Heads of Haroldiellus species. 6) H. sallei. 7) H. lansbergei. 8) H. woodruffi female allotype. 9) H. woodruffi male holotype. Scale line = 0.5 mm (all figures).
ScienceDex guides
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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.