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.
1,473
datasets available to search
ShareScore release 0.9.0
Dataset results
1,473 results for “Geographic distribution”
Fig. 1 in Geographic distribution of Trachymyrmex jamaicensis (Hymenoptera: Formicidae)
Fig. 1. Known site records of Trachymyrmex jamaicensis.
Fig. 1 in Geographic distribution of Cephalotes varians (Hymenoptera: Formicidae)
Fig. 1. Geographic distribution of Cephalotes varians records.
Fig. 1 in Geographic distribution of Tapinoma litorale (Hymenoptera: Formicidae)
Fig. 1. Site records of Tapinoma litorale.
Fig. 1 in Prevalence and geographical distribution of amphistomes of African wild ruminants: A scoping review
Fig. 1. Prisma diagram showing the search and selection process.
Fig. 1. Geographic distribution of bogidiellid amphipods. Large map: type localities of: 1, Bogidiella veneris n. sp.; 2, Bogidomma australis; 3, Xystriogidiella capricornea; and 4, Xystriogidiella juliani on the Australian continent (with kind permission of demis.nl). Insert map: global distribution of Bogidiellidae and several, possibly closely related taxa (modified after Koenemann and Holsinger, 1999).
Fig. 1. Geographic distribution of bogidiellid amphipods. Large map: type localities of: 1, Bogidiella veneris n. sp.; 2, Bogidomma australis; 3, Xystriogidiella capricornea; and 4, Xystriogidiella juliani on the Australian continent (with kind permission of demis.nl). Insert map: global distribution of Bogidiellidae and several, possibly closely related taxa (modified after Koenemann and Holsinger, 1999).
Figure 4 in The taxonomic status and geographic distribution of the European hare (Lepus europaeus Pallas, 1778) in Turkey (Mammalia: Lagomorpha)
Figure 4. Hair scale structure of L. europaeus in Turkey.
Figure 2 in New records and extension of geographical distribution of Heterophallus echeagarayi (Poeciliidae) in the Usumacinta Province, Mexico
Figure 2. - Heterophallus echeagarayi specimens from Candelaria River basin, SE Gulf of México.
Fig. 6 in Fossil freshwater sponges: Taxonomy, geographic distribution, and critical review
Fig. 6. Geographic distribution of fossil freshwater sponges (Porifera, Demospongiae, Spongillida).
FIGURE 13 in Upper Jurassic sauropod record in the Lusitanian Basin (Portugal): Geographical and lithostratigraphical distribution
FIGURE 13 (caption on next page).
Replication data for: Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras
<p>This repository serves as supplementary material for the article "Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras". This work was supported by the European Regional Development Fund project “Beyond Security: Role of Conflict in Resilience-Building” (reg. no.: CZ.02.01.01/00/22_008/0004595). The repository contains the following data:</p> <ol> <li>Dataset for the evidence of the Roman cult of Mithras as collected by Ales Chalupa for the Roman provinces of Raetia, Noricum, Dalmatia, Regio X, Dalmatia, Pannonia, Moesia, Thracia. File: Mithras_AC.geojson</li> <li>Geocoded Latin inscriptions collected from the LIST dataset (Vojtěch Kaše, Petra Heřmánková, & Adéla Sobotková. (2024). LIST (v1.2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10473706" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10473706</a>) mentioning the deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in a csv format. Filename format: ListdeitynameWKTv1_2.csv.</li> <li>Dictionary of noun forms for filtering deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in Latin inscriptions. File: deities_decline.csv</li> <li>Spatial proximity analysis measurements. WEST_GEO_DIST(km) lists distances from Portorium West stations (N=11) to their nearest cult proxy in kilometers in geographical space; WEST_NET_DIST(m) lists distances from Portorium West stations (N=11) to their nearest cult proxy in meters across the transportation network of Roman roads; EAST_GEO_DIST(km) and EAST_NET_DIST(m) follow the same rationale for stations in the Portorium East group (N=16); NORICUM_DIST_NET_30(m) lists distances from Roman settlements in the province Noricum (and in the distance of 30 kilometers beyond the borders of Noricum) to their nearest cult proxy and portorium stations across the transportation network of Roman roads in meters (N=53). File: Distances.xlsx</li> <li>Filtered Mithras_AC dataset with additional evidence from provinces neighboring Noricum for the purposes of correlation analysis. File: Mithras_AC_Noricum_neighbors.geojson</li> <li>Results of Spearman correlation analysis for NORICUM_DIST_NET_30(m). File: NORICUM_RES_NET_30.csv</li> <li>Geocoded Stations of the Publicum Portorium Illyrici. File: Portorium stations.csv</li> <li>Portorium stations divided by administrative segments and attributed with periods based on Sarkisjan's dissertation. Files: Portorium_West_period.csv; Portorium_East_period.csv</li> <li>Portorium members identified by inscriptions based on Sarkisjan's dissertation. File: Portorium_members.csv</li> <li>The closest Mithraic evidence from the Mithras_AC to Portorium West and East stations with a chronological description. Files: mithras_ac_west_closest_period.csv; mithras_ac_east_closest_period.csv</li> </ol>
Genomic implications of the repeated shift to self-fertilization across a species' geographic distribution
<p>This is the dataset for the publication</p> <p><strong><span>Genomic implications of the repeated shift to self-fertilization across a species’ geographic distribution</span></strong></p> <p>by Kay Lucek, Jana Flury, Yvonne Willi</p> <p>published in the Journal of Heredity 10.1093/jhered/esae046</p> <p>Abstract</p> <div>The ability to self-fertilize often varies among closely related hermaphroditic plant species, though, variation can also exist within species. In the North American <em>Arabidopsis lyrata</em>, the shift from self-incompatibility (SI) to selfing established in multiple regions independently, mostly since recent postglacial range expansion. This has made the species an ideal model for the investigation of the genomic underpinnings of the breakdown of SI and its population genetic consequences. By comparing nearby selfing and outcrossing populations across the entire species’ geographic distribution, we investigated variation at the self-incompatibility (S-)locus and across the genome. Furthermore, a diallel crossing experiment on one mixed-mating population was performed to gain insight into the inheritance of mating system variation. We confirmed that the breakdown of SI had evolved in several S-locus backgrounds. The diallel suggested the involvement of biparental contributions with dominance relations. Though, the population-level genome-wide association study did not single out clear-cut candidate genes but several regions with one near the S-locus. On the implication side, selfing as compared to outcrossing populations had less than half of the genomic diversity, while the number and length of runs of homozygosity (ROHs) scaled with the degree of inbreeding. Selfing populations with a history of long expansion had the longest ROHs. The results highlight that mating system shift to selfing, its genetic underpinning and the likely negative genomic consequences for evolutionary potential can be strongly interlinked with past range dynamics.</div> <div> </div> <div> </div> <div>Please read the respective readme files for each dataset.</div>
CTU Hornet 65 Niner: A Network Dataset of Geographically Distributed Low-Interaction Honeypots
<p>CTU Hornet 65 Niner is a dataset of 65 days of network traffic attacks captured in cloud servers used as honeypots to help understand how geography may impact the inflow of network attacks. The honeypots were placed in nine different geographical locations: Amsterdam, London, Frankfurt, San Francisco, New York, Singapore, Toronto, Bangalore, and Sydney. The data was captured from April 28th to July 1st, 2024.</p> <p>The nine cloud servers were created and configured following identical instructions using Ansible [1] in DigitalOcean [2] cloud provider. The network capture was performed using the Zeek [3] network monitoring tool, which was installed on each cloud server. The cloud servers had only one service running (SSH on a non-standard port) and were fully dedicated to being used as a honeypot. No honeypot software was used in this dataset.</p> <p>The dataset is composed of nine scenarios:</p> <ul> <li>Honeypot-Cloud-DigitalOcean-Geo-1: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-2: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-3: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-4: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-5: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-6: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-7: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-8: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> <li>Honeypot-Cloud-DigitalOcean-Geo-9: has 65 folders (YYYY-MM-DD), each containing 24 Zeek conn.log files and other Zeek files</li> </ul> <p><strong>References:</strong></p> <p>[1] Ansible IT Automation Engine, https://www.ansible.com/. Accessed on 08/28/2024.</p> <p>[2] DigitalOcean, https://www.digitalocean.com/. Accessed on 08/28/2024.</p> <p>[3] Zeek Documentation, https://docs.zeek.org/en/master/index.html. Accessed on 08/28/2024.</p> <p><strong>Funding:</strong></p> <p>The authors acknowledge support by the Strategic Support for the Development of Security Research in the Czech Republic 2019--2025 (IMPAKT 1) program, by the Ministry of the Interior of the Czech Republic under No. VJ02010020 -- AI-Dojo: Multi-agent testbed for the research and testing of AI-driven cyber security technologies.</p>
FIG. 1 in A new species of Gieysztoria Ruebush & Hayes, 1939 (Platyhelminthes, Rhabdocoela, Dalyelliidae) from Argentina with comments on geographical distribution of the genus in the Neotropical region
FIG. 1. — Study area: A, geographical location (● Reta locality); B, sampling site.
Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions
<p><strong>Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions </strong></p>
Figure 1 in Geographical distributions and host associations of larval parasitoids of frugivorous Drosophilidae in Japan
Figure 1. Collection localities.
Figure 1 in Intraspecific morphological tooth variability and geographical distribution: Application to the Savi's vole, Microtus (Terricola) savii (Rodentia, Arvicolinae)
Figure 1. Map of Italy with populations by region (see text for names of localities).
Figure 2 in Intraspecific morphological tooth variability and geographical distribution: Application to the Savi's vole, Microtus (Terricola) savii (Rodentia, Arvicolinae)
Figure 2. Morphometry of the first lower molar of Microtus (Terricola).
Figure 14 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 14 Distribution ofTrematurella elegans in Europe;? – Probable occurrence.
Figure 3 A, B in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 3 A, B – Trematurella elegans – Female, characteristic spines (S) on the marginal shield.
FIGURE 8 in The Agauopsis brevipalpus group (Acari: Halacaridae), descriptions of tropical Indo-West Pacific species, a key to all species, their geographical distribution and reflections on dispersal routes
FIGURE 8: Present day records of species of the Agauopsis brevipalpus group with three (circle) and four spines (quadrat) on telofemur I plotted on a map with Lower Jurassic land masses (solid line), ca 180 my ago (present-day plates in dotted line). A record from the Society Islands is omitted. (Lower Jurassic map modified from Howarth 1981; Vaughan & Livermore 2005; Stevens 2012).
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.