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158 results for “historical distribution”
Regional and Historical Variation in Garlic Mustard Distribution in Western Massachusetts 2006-2007
The susceptibility of a site to invasion by nonnative species depends on its current ecological features and its historical land use. Certain environments might be more conducive to an invasive plant’s success, and several recent studies have shown that former agricultural sites are more susceptible to invasion than sites that have been continuously wooded. We studied the invasive herb garlic mustard (Alliaria petiolata), at roadside forested edges. Site selection was stratified by two regions with distinct ecological characteristics (the Connecticut River Valley and the Berkshire Valley in Massachusetts), and two historical land uses (wooded versus cleared in 1830).
State level income distributions for net income deciles for the US for historical years (2011-2014) and projections for different SSP scenarios (2015-2100)
<p>This dataset is documented in this manuscript here- https://iopscience.iop.org/article/10.1088/1748-9326/acf9b8/meta</p> <p>Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. We project US state level income distributions using a PCA-based approach, applying a downscaled version of the approach employed by Narayan et al. (2022, in-prep). A state-level dataset had to be synthesized and projected based on existing sources. We apply a PC-based model to our derived state-level dataset, employing projected GINI’s from the SSP scenarios. We produce projected income distribution by income decile for three SSPs to year 2100. For the purpose of the projections, we developed a consistent set of tax adjusted net income deciles for all states from 2011 to 2014. This dataset was used for initialization of the projections and for validation.</p> <p>If/when using this dataset, please cite this paper- https://iopscience.iop.org/article/10.1088/1748-9326/acf9b8/meta</p>
Historical distribution and current drivers of guppy occurrence in Brazil
<p>This data set was used in the paper "Historical distribution and current drivers of guppy occurrence in Brazil". The file consist of occurrence records of <em>Poecilia reticulata</em> in Brazil over different time periods. In order to evaluate the historical and current distribution of <em>P. reticulata,</em> we searched for occurrence records in two major data sources. We first compiled data from all the studies cited in the recent comprehensive review of studies of Brazilian stream fish assemblages (Dias et al., 2016). We performed this search by using electronic databases and search engines (i.e., Web of Knowledge, Google Scholar, and Scielo) to look for primary studies and published papers from Brazilian journals that provide occurrence records of <em>P. reticulata</em> in Brazil. We also used combinations of the following search terms, in English and Portuguese: “guppy fish”, “non-native”, “nonindigenous aquatic species”, and “<em>Poecilia reticulata”; </em>this second search provided additional published papers mentioning this species in Brazilian territory. Both the papers and supplementary information were screened in order to find the geographical coordinates of the sampling points where this species has been detected. As a third data source, we used all the available records of <em>P. reticulata</em> from the SpeciesLink website (http://splink.cria.org.br/, accessed 2016), which aggregates species occurrence data from major biological collections worldwide, including those from Brazilian institutions. We extracted from this platform all the associated informations (e.g., the location and the associated geographical coordinates; the sampling dates containing year, month, and day; and the names of researchers who composed the sampling teams). From these three sources, we created a database of the occurrence of <em>P. reticulata</em> in Brazil.</p> <p>Some records were excluded because the geographical coordinates and/or sampling dates were not provided in detail, or could not be determined directly or from information in the publication itself (Dias et al., 2016). Overall, incomplete and discarded records comprised only 0.7% (12 out of 1649 records) of our dataset. We further used the sampling dates and associated collector information to remove duplicate records from the database. By this means, multiple records of <em>P. reticulata</em> with the identical geographical coordinates were compared in terms of the sampling day, month, year, and collector(s). If all the information was identical, only one record was included. On the other hand, multiple records of <em>P. reticulata</em> from the same location but with different dates and collectors were retained in the final database. This final database was composed of 1402 records and was used to investigate the occurrence of <em>P. reticulata</em> over time.</p> <p>References</p> <p>Dias, M. S., J. Zuanon, T. B. A. Couto, M. Carvalho, L. N. Carvalho, H. M. V. Espírito-Santo, R. Frederico, R. P. Leitão, A. F. Mortati, T. H. S. Pires, G. Torrente-Vilara, J. do Vale, M. B. dos Anjos, F. P. Mendonça, & P. A. Tedesco, 2016. Trends in studies of Brazilian stream fish assemblages. Natureza & Conservação 14: 106–111.</p>
Fig. 1 in PAST DISTRIBUTION OF TILIA-FEEDING PHYLLONORYCTER MICROMOTH (LEPIDOPTERA: GRACILLARIIDAE) IN THE RUSSIAN FAR EAST BASED ON SURVEY OF HISTORICAL HERBARIUM
Fig. 1. Accumulation of Tilia herbarium during one century period in the Russian Far East (A) and number of herbarized Tilia specimens with Phyllonorycter mines (B). VLA –
Fig. 3 in PAST DISTRIBUTION OF TILIA-FEEDING PHYLLONORYCTER MICROMOTH (LEPIDOPTERA: GRACILLARIIDAE) IN THE RUSSIAN FAR EAST BASED ON SURVEY OF HISTORICAL HERBARIUM
Fig. 3. Historical records of Tilia-feeding Phyllonorycter occurrence in the Russian Far East retrieved from on one century-old herbarium. For locations 1–61 see Table 1. In the left
Figure 1. All historical localities from the 19 in Floristic Status And Distribution Trends Of Rosa Rubiginosa L. In Latvia
Figure 1. All historical localities from the 19th century to the 1980s (white circle) of Rosa rubiginosa L. in Latvia and inventoried localities (2021–2023) (black circle), marked in grid cells. ©Māris Nitcis.
Fig. 16. Xeruca formosensis, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 16. Xeruca formosensis, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 15. Tubuca paradussumieri, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 15. Tubuca paradussumieri, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 13. Tubuca coarctata, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 13. Tubuca coarctata, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 12. Tubuca arcuata, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 12. Tubuca arcuata, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 11. Tubuca acuta, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 11. Tubuca acuta, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 9. Paraleptuca crassipes, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 9. Paraleptuca crassipes, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 8. Gelasimus vocans, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 8. Gelasimus vocans, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 10. Paraleptuca splendida, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 10. Paraleptuca splendida, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 7. Gelasimus tetragonon, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 7. Gelasimus tetragonon, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 6. Gelasimus jocelynae, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 6. Gelasimus jocelynae, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 5. Gelasimus borealis, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 5. Gelasimus borealis, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 4. Austruca triangularis, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 4. Austruca triangularis, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 3. Austruca perplexa, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 3. Austruca perplexa, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
Fig. 2. Austruca lactea, zoea I. A in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 2. Austruca lactea, zoea I. A, carapace; B, antennule; C, antenna; D, maxillule; E, maxilla; F, first maxilliped; G, second maxilliped; H, pleon and telson.
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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.