Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
87
datasets available to search
ShareScore release 0.9.0
Dataset results
87 results for “Southern Boundary”
FIGURE 7 in Pteropoda (Mollusca, Gastropoda, Thecosomata) from the Eocene/Oligocene boundary interval of three cored boreholes in southern coastal Tanzania and their response to the global cooling event
FIGURE 7. Limacina tanzaniaensis sp. nov. 1: Holotype, apertural view, RGM 777428b, TDP 17.38.2, 22-29 cm; 2: paratype 1, apertural view, RGM 777438, TDP 17.36.2, 80-95 cm; 3: paratype 2, umbilical view, RGM 777416b, TDP 17.36.1, 10-25 cm; 4: paratype 3, apical view, RGM 777416c, same data as 3. Bar equals 100 μm.
FIGURE 15 in Pteropoda (Mollusca, Gastropoda, Thecosomata) from the Eocene/Oligocene boundary interval of three cored boreholes in southern coastal Tanzania and their response to the global cooling event
FIGURE 15. Range chart of pteropods, combined data of TDP 11, 12 and 17, calibrated to composite depths. Basic stratigraphical data mainly from Pearson et al. (2008, figure 16).
FIGURE 3 in Pteropoda (Mollusca, Gastropoda, Thecosomata) from the Eocene/Oligocene boundary interval of three cored boreholes in southern coastal Tanzania and their response to the global cooling event
FIGURE 3. Heliconoides nikkieae sp. nov.; 1: Holotype, RGM 777415a, apertural view; 2: apertural view, specimen lost; 3: paratype 1, RGM 777415b, umbilical view; 4: paratype 3, RGM 777 381, umbilical view; 5: paratype 2, RGM 777415c, apical view. Figure 3-1, -2, -3 and -5 from the type locality, TDP 17.36.1, 10-25 cm; Figure 3-4 from TDP 17.21.1, 9-20 cm. Bar equals 100 μm.
Planetary Boundary Layer Height Retrievals from the Cloud-Aerosol Transport System (CATS) around the US Southern Great Plains and the Eastern North Atlantic
<p>Planetary Boundary Layer Height (PBLH) retrievals in kilometers from the Cloud-Aerosol Transport System (CATS) around the DOE ARM US Southern Great Plains (SGP) and the Eastern North Atlantic (ENA), using a modified version of the Different Thermo-Dynamics Stability (DTDS) algorithm. Quality control Flags are included as follows:</p> <ul> <li>0 = 'Good Quality'</li> <li>1 = 'Mediate Quality'</li> <li>2 = 'Bad Quality'</li> </ul> <p>In addition, -999 values in the dataset represent no data. <br>The PBLH for daytime denoised CATS photon counts at SGP is named: "daytime-denoised-dtds-pblh-sgp.csv"<br>The PBLH for the original daytime and nighttime data at SGP and ENA, without denoising the data, are named: "original-cats-dtds-pblh-daytime-nighttime-sgp.csv" and "original-cats-dtds-pblh-daytime-nighttime-ena.csv"</p> <p>References: </p> <p>Roldán-Henao, N., Yorks, J., Su, T., Selmer, P., & Li, Z. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. <em>Remote Sensing. </em></p> <p>Su, T., Li, Z., & Kahn, R. (2020). A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. <em>Remote Sensing of Environment</em>, <em>237</em>, 111519.</p>
Linked collectors and determiners for: Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species.
Natural history specimen data linked to collectors and determiners held within, "Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d7dbbc1f-416c-4365-a32b-a9618e6c1fe9">https://bionomia.net/dataset/d7dbbc1f-416c-4365-a32b-a9618e6c1fe9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d7dbbc1f-416c-4365-a32b-a9618e6c1fe9">https://gbif.org/dataset/d7dbbc1f-416c-4365-a32b-a9618e6c1fe9</a>. Formatted as a Frictionless Data package.
Habitat and climatic associations of climate-sensitive species along a southern range boundary
<p><span class="Dummy">Climate change and habitat loss are recognized as important drivers of shifts in wildlife species' geographic distributions. While often considered independently, there is considerable overlap between these drivers, and understanding how they contribute to range shifts can predict future species assemblages and inform effective management. Our objective was to evaluate the impacts of habitat, climatic, and anthropogenic effects on the distributions of climate‐sensitive vertebrates along a southern range boundary <span>in Northern Michigan, USA</span>. We combined multiple sources of occurrence data, including harvest and citizen‐science data, then used hierarchical Bayesian spatial models to determine habitat and climatic associations for four climate‐sensitive vertebrate species (American marten [</span><em><span class="fi">Martes americana</span></em><span class="Dummy">], snowshoe hare [</span><em><span class="fi">Lepus americanus</span></em><span class="Dummy">], ruffed grouse [</span><em><span class="fi">Bonasa umbellus</span></em><span class="Dummy">], and moose [</span><em><span class="fi">Alces alces</span></em><span class="Dummy">]). We used total basal area of at‐risk forest types to represent habitat, and temperature and winter habitat indices to represent climate. Marten associated with upland spruce‐fir and lowland riparian forest types, hares with lowland conifer and aspen‐birch, grouse with lowland riparian hardwood</span><span>s</span><span>, </span><span class="Dummy">and moose with upland spruce‐fir. Species differed in climatic drivers with hares positively associated with cooler annual temperatures, moose with cooler summer temperatures, and grouse with colder winter temperatures. Contrary to expectations, temperature variables outperformed winter habitat indices. Model performance varied greatly among species, as did predicted distributions along the southern edge of the Northwoods region. As multiple species were associated with lowland riparian and upland spruce‐fir habitats, these results provide potential for efficient prioritization of habitat management. Both direct and indirect effects from climate change are likely to impact the distribution of climate‐sensitive species in the future and the use of multiple data types and sources in the modelling of species distributions can result in more accurate predictions resulting in improved management at policy‐relevant scales</span><span class="Dummy">.</span></p>
Habitat and climatic associations of climate-sensitive species along a southern range boundary
Open the record for dataset details and reuse information.
Experimental repatriation of snowshoe hares along a southern range boundary reveals historical community interactions
Open the record for dataset details and reuse information.
Archived Model Output and Code for "Marine Boundary Layer Cloud Condensation Nuclei Bias over the Southern Ocean: Comparisons between the Community Atmosphere Model 6 and Field Observations "
<div> <p>This is an archive of CAM6 simulation output used in the paper Marine Boundary Layer Cloud Condensation Nuclei Bias over the Southern Ocean: Comparisons between the Community Atmosphere Model 6 and Field Observations, submitted to the AGU Journal. Codes used to read the nc file is also attached.</p> </div>
A seasonal analysis of aerosol NO3- sources and NOx oxidation pathways in the Southern Ocean marine boundary layer
<p>This dataset includes coarse mode atmopsheric nitrate concentration and isotopic composition from the Southern Ocean marine boundary layer in summer (2018/19), winter (2019) and spring (2019). Environmental data (temperature, SLP and relative humidity) are also included.</p>
Fig. 8 in Phylogeographic pattern of Jenynsia multidentata (Cyprinodontiformes: Anablepidae) in the southern boundary of the Brazilian Subregion, Argentina
Fig. 8. Relationship between geographic and genetic distances for Jenynsia multidentata.
FIGURE 5 in Pteropoda (Mollusca, Gastropoda, Thecosomata) from the Eocene/Oligocene boundary interval of three cored boreholes in southern coastal Tanzania and their response to the global cooling event
FIGURE 5. Limacina robusta (Eames, 195); RGM 777423b, apertural view. Bar equals 100 μm.
FIGURE 15 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 15. Geographical distribution of Liogenys new species occurring in the STZ and its boundaries: A) general, B, C) detail. Image legend: shaped points: new species; colors: provinces of Neotropical, South American Transition Zone (STZ), and Andean regions.
FIGURE 14 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 14. Geographical distribution of known Liogenys species occurring in the STZ and its boundaries: A) general, B, C, D) detail. Image legend: shaped points: already known species; colors: provinces of Neotropical, South American Transition Zone (STZ), and Andean regions.
FIGURE 11 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 11. Dimorphism in clypeus. Liogenys flaveola Moser, 1924: A) male, B) female; L. flavida Moser, 1918: C) male, D) female; L. kuntzeni Moser, 1921: E) male, F) female; L. rufoflava Moser, 1918: G) male, H) female.
FIGURE 9. Liogenys rufoflava Moser, 1918 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 9. Liogenys rufoflava Moser, 1918, male lectotype views: A) dorsal, B) labels, C) clypeus and pronotum, D) lateral, E) pygidium, and parameres views: F) dorsal, G) lateral.
FIGURE 13 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 13. Liogenys maxillaricuspis Cherman, new species: A) head in ventral view, C) labium, G) right maxilla; L. brachyclypeata Cherman, new species: B) head in ventral view, D) labium; L. calcarata Frey, 1970: E) left maxilla; L. xanthocera Harold, 1869: F) right maxilla. Legends: A, B) CLP: clypeus, LBM: labium, LBR: labrum, MXL: maxilla, MXLP: maxillary palp. C, D) LGL: ligula, LPLP: labial palp, MTM: mentum, PMTM: postmentum.
FIGURE 8 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 8. Liogenys maxillaricuspis Cherman, new species, male holotype views: A) dorsal, B) clypeus and pronotum, C) variation of clypeus, D) lateral, E) pygidium, and parameres views: F) dorsal, G) dorsolateral, H) arrows indicating variations in shape, I) lateral.
FIGURE 6 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 6. Liogenys lucialmeidae Cherman, new species, male holotype views: A) dorsal, B) clypeus and pronotum, C) pygidium, D) lateral, E) meso- and metatibiae, and parameres views: F) dorsal, G) dorsolateral, H) lateral.
FIGURE 5. Liogenys kuntzeni Moser, 1921 in Liogenys Guérin-Méneville, 1831 (Coleoptera: Scarabaeidae: Melolonthinae) from the southern South American Transition Zone and boundaries: taxonomic overview with four new species
FIGURE 5. Liogenys kuntzeni Moser, 1921, male holotype views: A) dorsal, B) clypeus and pronotum, C) pygidium, D) lateral, E) meso- and metatibia, and parameres views: F) dorsal, G) lateral.
ScienceDex guides
Understand access before you commit
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.