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13,117 results for “Maps”
Mapping Study Document
<p>Mapping study is related to our research paper.</p>
FIGURE. Distribution of Dicorynia. Physical map of the Amazonian region with all analyzed specimens of Dicorynia. A large amount of point overlays leading to reduced number of visible points is due to the large percentage of materials being old collections that rely only on the name of the municipality or similar. Source: NASA with modifications. Note that almost all specimens are contained in areas with less than 200 m high and the high elevations of the Guiana shield may represent a form of isolation between the two species. in A Taxonomic Revision of the Amazonian Genus Dicorynia (Fabaceae: Dialioideae)
FIGURE. Distribution of Dicorynia. Physical map of the Amazonian region with all analyzed specimens of Dicorynia. A large amount of point overlays leading to reduced number of visible points is due to the large percentage of materials being old collections that rely only on the name of the municipality or similar. Source: NASA with modifications. Note that almost all specimens are contained in areas with less than 200 m high and the high elevations of the Guiana shield may represent a form of isolation between the two species.
Mapping test data with various range sensors
<p>This is a test data for range-IMU SLAM systems recorded with various range sensors:</p> <p>- Ouster OS0-32 & OS0-64</p> <p>- Livox Avia</p> <p>- Intel Realsense L515 & D455</p> <p>- Microsoft Azure Kinect</p> <p>- Stereolabs ZED2i</p> <p> </p> <p>The groundtruth trajectories are estimated by aligning point cloud scans with a 3D environment map created with a survey-grade LiDAR (FARO Focus).</p> <p> </p> <p> </p>
LiDAR-IMU Mapping Test with Various Range Sensors
<p>This is a set of LiDAR-IMU mapping test sequences recorded with various range sensors.</p> <p>- Ouster OS0-32 & OS0-64</p> <p>- Livox Avia</p> <p>- Intel Realsense L515 & D455</p> <p>- Microsoft Azure Kinect</p> <p>- Stereolabs ZED2i</p> <p>The groundtruth IMU trajectories (gt.tar.gz) are estimated by a batch LiDAR-IMU optimization that aligns point cloud scans with an environmental map (map_e232b.las) recorded with a survey-grade LiDAR (FARO Focus).</p> <p> </p>
Distribution. SE Guinea, E Liberia, S Ivory Coast, and W Ghana; populations ofeither this species, the Ivory Coast White-toothed Shrew (C. eburnea), or both species are found in S Sierra Leone and are included in the range map ofthis species but have not been investigated genetically and could represent either species. There are apparently records that represent this species from S Nigeria, although further research is needed to confirm thatthis speciesis truly found there. in Soricidae
Distribution. SE Guinea, E Liberia, S Ivory Coast, and W Ghana; populations ofeither this species, the Ivory Coast White-toothed Shrew (C. eburnea), or both species are found in S Sierra Leone and are included in the range map ofthis species but have not been investigated genetically and could represent either species. There are apparently records that represent this species from S Nigeria, although further research is needed to confirm thatthis speciesis truly found there.
Distribution. Originally distributed throughout the Indo-Malayan Region and S China, including Taiwan, Hainan, and Sri Lanka (only original range shaded in the map). Possible human-mediate introduced range in Maldives, islands of Malaysia, Indonesia, Brunei, Philippines, Japan (Kyushu and Ryukyu Is), Guam, Palau, and New Guinea. Introduced in historical times into East Africa (Egypt, Sudan, Eritrea, Djibouti, Kenya, Rwanda, and Tanzania), Pemba and Zanzibar (Unguja) Is, Madagascar, Comoro Is, Mauritius, Réunion I, and into coastal Arabia (in the vicinity of seaports in Iraq, Kuwait, Bahrain, Saudi Arabia, Yemen, and Oman). in Soricidae
Distribution. Originally distributed throughout the Indo-Malayan Region and S China, including Taiwan, Hainan, and Sri Lanka (only original range shaded in the map). Possible human-mediate introduced range in Maldives, islands of Malaysia, Indonesia, Brunei, Philippines, Japan (Kyushu and Ryukyu Is), Guam, Palau, and New Guinea. Introduced in historical times into East Africa (Egypt, Sudan, Eritrea, Djibouti, Kenya, Rwanda, and Tanzania), Pemba and Zanzibar (Unguja) Is, Madagascar, Comoro Is, Mauritius, Réunion I, and into coastal Arabia (in the vicinity of seaports in Iraq, Kuwait, Bahrain, Saudi Arabia, Yemen, and Oman).
Distribution. Currently known from highlands of Chiapas (SE Mexico), Guatemala, and NW El Salvador; distributional limits are somewhat uncertain and the map provided is tentative. in Soricidae
Distribution. Currently known from highlands of Chiapas (SE Mexico), Guatemala, and NW El Salvador; distributional limits are somewhat uncertain and the map provided is tentative.
Mapping Study Document
<p>Document for the mapping study</p>
Map 11 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
Map 11. Distribution map of Dissonulichen (Dissonulichen) simplicipes simplicipes and D. (D.) simplicipes meridionalis in Colombia and Ecuador.
Distribution. Originally native to the Indian Subcontinent and now introduced worldwide, including the sub-Antarctic Macquarie I but not Antarctica (modern introductions not shaded on the map). in Muridae
Distribution. Originally native to the Indian Subcontinent and now introduced worldwide, including the sub-Antarctic Macquarie I but not Antarctica (modern introductions not shaded on the map).
Distribution. Originally native to N China (possibly Mongolia), SW Siberia in Russia, and Japan, and now introduced worldwide, except Antarctica (modern introductions not shaded on the map). in Muridae
Distribution. Originally native to N China (possibly Mongolia), SW Siberia in Russia, and Japan, and now introduced worldwide, except Antarctica (modern introductions not shaded on the map).
Subspecies and Distribution. M.m.musculusLinnaeus,1758—EEurope,CAsia,andChina. M.m.castaneusWaterhouse,1843—Kenya,Madagascar,Pakistan,India,andSEAsia. M. m. domesticus E. Schwarz & H. K. Schwarz, 1943 — W Europe and N Africa. M. m. gentilulus Thomas, 1919 — Arabian Peninsula. Also three unnamed geographic lineages from C & SE Iran and Nepal. Now introduced worldwide, except Antarctica (modern introductions not shaded on the map). in Muridae
Subspecies and Distribution. M.m.musculusLinnaeus,1758—EEurope,CAsia,andChina. M.m.castaneusWaterhouse,1843—Kenya,Madagascar,Pakistan,India,andSEAsia. M. m. domesticus E. Schwarz & H. K. Schwarz, 1943 — W Europe and N Africa. M. m. gentilulus Thomas, 1919 — Arabian Peninsula. Also three unnamed geographic lineages from C & SE Iran and Nepal. Now introduced worldwide, except Antarctica (modern introductions not shaded on the map).
Distribution. Known only from Bu Gia Map National Park, Binh Phuoc Province, S Vietnam; perhaps adjacent E Cambodia. in Muridae
Distribution. Known only from Bu Gia Map National Park, Binh Phuoc Province, S Vietnam; perhaps adjacent E Cambodia.
FIGURE 1. Maps. 1A in The Trichoptera of Panama. XVIII. Twelve first country records of macrocaddisflies (Insecta, Trichoptera) from the Republic of Panama
FIGURE 1. Maps. 1A, regional map showing distribution of newly recorded Panamanian taxa in other countries [* = type country]. 1B, map of western Panama's major cuencas (watersheds) showing site locations and associated new country record taxa. Both maps were created using ARCGIS 10.1 (ESRI corporation) software. [Location codes: A, Quebrada sin nombre– Landis Reserve. B, Río Majagua. C, Quebrada Jaramillo Abajo. D, Quebrada Jaramillo. E, Río Papayal. F, Quebrada Arenal. G, Quebrada Cabello de Angel. H, Quebrada Martinez. I, Río Piedra de Moler.]
Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage). Digital phase 10 release.
<p>This is the digital dataset which was created by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were the source documents for the production of the Soils of Scotland 1:63,360 and 1:50,000 published map series. Where no 1:25,000 published maps exist 1:63,360 maps have been digitised for this data set, the field SOURCE_MAP describes the source of the data. The mapping is based on Soil Associations, Soil Series and Phases which reflect parent material, major soil group, and soil sub-groups, drainage and (for soil phases), texture, stoniness, land use, rockiness, topography and organic matter. Phases are not always mapped. In general terms this dataset primarily covers the cultivated land of Scotland but also includes some upland areas. This data set is undergoing a phased revision, the latest (phase 8) was released in August 2021. The digitising of the recently added data was funded by the Rural & Environment Science & Analytical Services Division of the Scottish Government. The data can also be downloaded from or viewed at <a href="https://www.hutton.ac.uk/learning/natural-resource-datasets/soilshutton/soils-maps-scotland/download"><span><span> </span>https://www.hutton.ac.uk/soil-maps/ </span></a>or viewed at <a href="https://map.environment.gov.scot/Soil_maps/?layer=2">Scotland's Soils - soil maps (environment.gov.scot). </a> This map should be cited as: 'Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage). Digital phase 10 release. James Hutton Institute, Aberdeen. DOI 10.5281/zenodo.6908156 .</p>
Population abundance data and species range maps
<p><b>Aim </b>–<b> </b>The abundant-center hypothesis (ACH) predicts a negative relationship between species abundance and the distance to geographic range center. Since its formulation, empirical tests of the ACH have involved different settings (e.g. the distance to the ecological niche or to the geographic range center), but studies found contrasting support for this hypothesis. Here, we evaluate whether these discrepancies might stem from differences regarding the context in which the ACH is tested (geographical or environmental), how distances are measured, how species envelopes are delineated, how the relationship is evaluated and which data are used.</p> <p><b>Location</b> – Americas.</p> <p><b>Time Period </b>– 1800-2017.</p> <p><b>Major taxa studied</b> – mammal, bird, fish and tree seedlings.</p> <p><b>Methods</b> – Using published abundance data for 801 species, together with species range maps, we tested the ACH using three distance metrics in both environmental and geographical spaces with range and niche envelopes delineated using two different algorithms, totaling 12 different settings. We then evaluated the distance-abundance relationship using correlation coefficients (traditional approach) and mixed-effect models to reduce the effect of sampling noise on parameter estimates.</p> <p><b>Results</b> – Similar to previous studies, correlation coefficients indicated an absence of effect of distance on abundance for all taxonomic groups and settings. In contrast, mixed-effect models highlighted relationships of various strengths and shapes, with a tendency for more theoretically-supported settings to provide stronger support for the ACH. The relationships were however not consistent across taxonomic groups and settings, and were sometimes even opposite to ACH expectations.</p> <p><b>Main conclusions</b> – We found mixed and inconclusive results regarding the ACH. These results corroborate recent findings, and suggest either that our ability to predict abundances from the location of populations within geographical or environmental spaces is low, or that the data used here have a poor signal-to-noise-ratio. The latter calls for further testing on other datasets using the same range of settings and methodological framework.</p>
Map legend of the conventional soil map of the Designation of Origin Campo de Borja
<p>Soil Taxonomic Units in the map legend are named with the following convention: the four first letters abbreviate the taxon up to Subgroup level, a number differentiate among similar Subgroups, and the last two characters are linked to a lithostratigraphic unit. If defined, series are shown between brackets (Information source: Gómez-Miguel et al. 2015).</p>
Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia"
<pre>Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia" - OGM Rare Variant Analysis for both time points extracted from Bionano Access RVP Analysis output folder: -> unfiltered annotated SV output -> unfiltered CNV output - Whole Exome Sequencing Gene Panel results as output by Varvis (Limbus) (CSV file) -> WES SNVs -> WES CNVs - Quality metrics + selected results: -> OGM; both time points -> Whole Exome Sequencing; time point 1</pre>
MAP 2 in Review of the genus Schizoturanius Verhoeff, 1931, with the description of a new species from the Altais, Asian Russia (Diplopoda: Polydesmida: Polydesmidae)
MAP 2. Distribution of Schizoturanius krugovae sp. nov. (red circle) within a strictly protected area and a buffer zone of the Tigirek State Nature Reserve (marked in green and yellow, respectively) and its immediate adjacent areas. Abbreviations: CN, China; KZ, Kazakhstan; MN, Mongolia.
MAP 1 in Review of the genus Schizoturanius Verhoeff, 1931, with the description of a new species from the Altais, Asian Russia (Diplopoda: Polydesmida: Polydesmidae)
MAP 1. Distributions of Schizoturanius species (circles): clavatipes (dark blue), dmitriewi (green), dshungaricus (light blue), kitabensis (violet), krugovae sp. nov. (red), levis (brown), montivagus (pink), strongylosomoides (orange), tabescens (yellow). Abbreviations: KG, Kyrgyzstan; UZ, Uzbekistan.
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.