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FIGURE 4 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 4. Aerial photograph with example measurements of T2.0" and L7.0". Fieldworkers recorded locality data by locating their place on the air photograph, measuring inches from the top and inches from the left, and writing the air photograph number and measurements in field notes.
FIGURE 5 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 5. Map of field collection data for Test Area from 1999-2000. Each point represents one field number. Precise locality information is available to qualified researchers upon request from JODA's museum program.
FIGURE 2 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 2. Map of Oregon showing the three park units (purple) and the extent of the majority of non-NPS sites worked by JODA paleontologists (green). There are museum collections at JODA from many sites in area highlighted in green. However, many of these sites have not been visited recently. Many of the sites with paleontological resources in the green area are found on lands administered or owned by partners and are scattered across the full area.
FIGURE 3 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 3. Map of locality data for cataloged specimens by year collected in one of the five main collection areas. Years correspond to cyclic prospecting schedule outlined in Table 1. Note the overlap between 1993 and 1994 and 1997 and 1998 contrary to the schedule shown in Table 1. Precise locality information is available to qualified researchers upon request from JODA's museum program.
FIGURE 1 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 1. Composite stratigraphic column of the John Day Formation with the Columbia River Basalt Group capping the section. Stratigraphic relationships and radiometric dates are based on Hunt and Stepleton (2004), Albright et al. (2008), and Fremd (2010). The black box encompasses the subunits that are considered lower Turtle Cove for the purposes of this study. Figure provided by the National Park Service.
FIGURE 4 in Reproductive biology of Parona signata (Actinopterygii: Carangidae), a valuable economic resource, in the coastal area of Mar del Plata, Buenos Aires, Argentina
FIGURE 4 | Frequency distribution of oocyte diameters (n=3,000 oocytes measured of Parona signata). From black bars to white bars: primary growth oocyte, cortical alveoli, yolked oocytes and hydrated oocytes, respectively.
Fig. 2 in Reproductive biology of Cetengraulis edentulus (Cuvier, 1829), the major fishery resource in Guanabara Bay, Brazil
Fig. 2. Number of Cetengraulis edentulus per size classes (mm) of total length (white column = female; black column = male) in Guanabara Bay.
Fig. 9 in Reproductive biology of Cetengraulis edentulus (Cuvier, 1829), the major fishery resource in Guanabara Bay, Brazil
Fig. 9. Mean values (± standard error) of the fullness index between months and seasons of Cetengraulis edentulus in Guanabara Bay.
Fig. 5 in Reproductive biology of Cetengraulis edentulus (Cuvier, 1829), the major fishery resource in Guanabara Bay, Brazil
Fig. 5. Relation between gonadosomatic index with fullness index (A) and with total length (B) of Cetengraulis edentulus in Guanabara Bay. Lines represent the generalized additive models selected by the Akaike information criterion.
Fig. 8 in Reproductive biology of Cetengraulis edentulus (Cuvier, 1829), the major fishery resource in Guanabara Bay, Brazil
Fig. 8. Mean values (± standard error) of the hepatosomatic index among months and seasons (black square = females; white circle = males) of Cetengraulis edentulus in Guanabara Bay.
Fig. 5 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 5. Dendrogram from cluster analysis for ecomorphological attributes of seventeen fish species in the rio Mamanguape estuary. The code for species is as in Table 1.
Fig. 4 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 4. Ordination diagram for the rio Mamanguape estuary, from the first two principal components for the ecomorphological attributes of seventeen studied species. The codes for species are as in Table 1.
Fig. 3 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 3. Factor loads from principal component analysis on ecomorphological attributes of selected fish species. CI = compression index; RH = relative height; RPL = relative peduncle length; CPCI = caudal peduncle compression index; IVF = index of ventral flattening; APFR = aspect of pectoral fin ratio; REP = relative eye position; RHL = relative head length; RMW = relative mouth width; RMH = relative mouth height; MAR = mouth aspect ratio.
Fig. 6 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 6. Diagram of Canonical Discriminant Analysis for the ecomorphological indices of the fishes grouping in habitat types in the rio Mamanguape estuary (Mudflat, Beach and Mangrove creeks).
Fig. 2 in Reducing mowing frequency increases floral resource and butterfly (Lepidoptera: Hesperioidea and Papilionoidea) abundance in managed roadside margins
Fig. 2. Effects of the 3 mowing treatments on the 4 floral resource response variables. (a) Density of all species, (b) density of known nectar species, (c) species richness of all species, and (d) species richness of known nectar species. The graphs depict the raw means. Different letters above the bars indicate means that are significantly different.
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<p>Keywords&SentencePatterns for CPR filter, Dataset and regression model</p>
Supplementary material 6 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 2 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
Supplementary material 5 from: Kayal M, Lewis H, Ballard J, Kayal E (2019) Humanity and the 21 st century's resource gauntlet: a commentary on Ripple et al.'s article "World scientists' warning to humanity: a second notice". Rethinking Ecology 4: 21-30. https://doi.org/10.3897/rethinkingecology.4.32116
: Data type: References
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.