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163 results for “Los Angeles”
Figs. 57–61. Swammerdamella marginata Cook. 57 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 57–61. Swammerdamella marginata Cook. 57. Head, lateral view, female. 58. Thorax, lateral view, female. 59. Wing, female. 60. Segments 7–8 and terminalia, ventral view, male. 61. Segment 7 and terminalia, ventral view (arrow shows desclerotization on sternite 7).
Figs. 85–86 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 85–86. Abrhexosa ryckmani (Cook), male. 85. Segment 8 and terminalia, ventral view. 86.Terminalia, ventral view.
Figs. 28–30 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 28–30. Ectaetia betzi sp.nov, male holotype. 28. Head, lateral view. 29.Thorax, lateral view. 30. Wing.
Figs. 75–79 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 75–79. Abrhexosa grossa (Cook). 75. Head, lateral view, female. 76. Thorax, lateral view, male. 77. Wing, male. 78. Terminalia, ventral view, male. 79. Terminalia, dorsal view, male.
Figs. 71–74 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 71–74. Quateiella quatei (Cook). 71. Segments 7–8 and terminalia, ventral view, male. 72. Segments 7–8 and terminalia, dorsal view, male. 73. Segment 7 and terminalia, ventral view, female. 74. Segment 7 and terminalia, dorsal view, female.
Canopy Height Map of Los Angeles County Native Habitat Areas
<p>Using LARIAC4 (2016) LIDAR imagery this Canopy Height Model was derived using the lidR, terra and sf packages in R at a resolution of 1 meter. Native habitat areas were selected based on occurence of native flora taxa from iNaturalist in each LARIAC tile. Tiles with no or very few native plants were not included. Additionally, LA County north of the Santa Clara river and San Gabriel mountains was not included, please contact me if you need additional areas. Non-organic features such as power lines, houses, and some high altitude LIDAR noise are still present in the data, future efforts are needed to remove these. Processing took place on the Occidental College computing cluster using a machine with 192GB RAM and 32 cores and took approximately 3 days. The code used to generate this CHM is available here: https://gist.github.com/max-mapper/d52ad9df2f9ed4d191e67955f950e044. The CHM is available as Cloud Optimized Geotiff, which can be viewed in QGIS dynamically over HTTPS without requiring a full download.</p>
Comparing first street foundation and PRIMo flood hazard data across the Los Angeles metropolitan region
<p>Extreme flooding events are becoming more frequent and costly, and impacts have been concentrated in cities where exposure and vulnerability are both heightened. To manage risks, governments, the private sector, and households now rely on flood hazard data from national-scale models that lack accuracy in urban areas due to unresolved drainage processes and infrastructure. The data in this repository supports an assessment of the uncertainties of First Street Foundation (FSF) flood hazard data, available across the U.S.. For the analysis, FSF data was compared to PRIMo-Drain, a flood hazard model that resolves drainage infrastructure and fine resolution drainage dynamics.</p> <p>In the linked journal manuscript, using the case of Los Angeles, California, we find that FSF and PRIMo-Drain estimates of population and property value exposed to 1%- and 5%-annual-chance hazards diverge at finer scales of governance, for example by 4- to 18-fold at the municipal scale. FSF and PRIMo-Drain data often predict opposite patterns of exposure inequality across social groups (e.g., Black, White, Disadvantaged). Further, at the county scale, we compute a Model Agreement Index of only 24%—a ~1 in 4 chance of models agreeing upon which properties are at risk. Collectively, these differences point to limited capacity of FSF data to confidently assess which municipalities, social groups, and individual properties are at risk of flooding within urban areas. These results caution that national-scale model data at present may misinform urban flood risk strategies and lead to maladaptation, underscoring the importance of refined and validated urban models.</p>
Los Angeles, California, Earthquake Dataset with Feature-Engineered Variables
<p>This dataset includes detailed records of seismic events in Southern California, such as magnitudes, depths, and locations, filtered to focus on a 100 km radius around Los Angeles from January 1, 2012, to September 1, 2024. It also includes a target variable representing the maximum earthquake magnitude within 30 days of each event, along with additional engineered features for use in machine learning and neural network algorithms to improve earthquake forecasting.</p>
Linked collectors and determiners for: LA - University of California, Los Angeles Herbarium.
Natural history specimen data linked to collectors and determiners held within, "LA - University of California, Los Angeles Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4c122e6f-b2a4-4f91-aff5-449e9afb57b3">https://bionomia.net/dataset/4c122e6f-b2a4-4f91-aff5-449e9afb57b3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4c122e6f-b2a4-4f91-aff5-449e9afb57b3">https://gbif.org/dataset/4c122e6f-b2a4-4f91-aff5-449e9afb57b3</a>. Formatted as a Frictionless Data package.
GPS collar data and social-ecological feature data for examining the movement of coyotes in Los Angeles, California (2019-2021)
Open the record for dataset details and reuse information.
Comparing first street foundation and PRIMo flood hazard data across the Los Angeles metropolitan region
Open the record for dataset details and reuse information.
Fig. 88 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Fig. 88. Map of the Los Angeles County with BioSCAN Phase II sampling sites 31–46.
Figs. 45–46 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 45–46. Scatopse notata (Linnaeus), female terminalia. 45.Ventral view. 46. Dorsal view.
Fig. 87 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Fig. 87. Map of the Los Angeles County with BioSCAN Phase I sampling sites 1–30.
Data from: Temperature accounts for the biodiversity of a hyperdiverse group of insects in urban Los Angeles
The urban heat island effect is a worldwide phenomenon that has been linked to species' distributions and abundances in cities. However, effects of urban heat on biotic communities are nearly impossible to disentangle from effects of land cover in most cases because hotter urban sites also have less vegetation and more impervious surfaces than cooler sites within cities. We sampled phorid flies, one of the largest, most biologically diverse families of true flies (Insecta: Diptera: Phoridae), at 30 sites distributed within the central Los Angeles Basin, where we found that temperature and the density of urban land cover are decoupled. Abundance, richness, and community composition of phorids inside urban Los Angeles were most parsimoniously accounted for by mean air temperature in the week preceding sampling. Sites with intermediate mean temperatures had more phorid fly individuals and higher richness. Communities were more even at urban sites with lower minimum temperatures and sites located further away from natural areas, suggesting that communities separated from natural source populations may be more homogenized. Species composition was best explained by minimum temperature. Inasmuch as warmer areas within cities can predict future effects of climate change, phorid fly communities are likely to shift non-linearly under future climates in more natural areas. Exhaustive surveys of biotic communities within cities, such as the one we describe here, can provide baselines for determining the effects of urban and global climate warming as they intensify.
Dataset Chart Hours Television Digital Social Intervention Chicago & Los Angeles Research PhD
<p>Dataset chart Quantitative Information Social Issues Racial Mental Emotional PhD Dr.David Render Solving Categorizing Identifying Social Issues Human Impact In Part National Case Studies Chicagoland Business & Los Angeles Economic Territories </p>
Surviving Los Angeles by Exercising Privacy
<p>Written and Produced by Alexandre Néron.<br>This video was produced for ARCH542 Night on Earth at McGill University Peter Guo-hua Fu School of Architecture in 2024.<br>Instructed by Professor Ipek Türeli.</p>
Neutron activation analysis data of pottery from El Rincon, Los Angeles, Martinez, Piedras Blancas, Bordo de los Indios, and other sites, Argentina
<p>Neutron activation analysis data of pottery from El Rincon, Los Angeles, Martinez, Piedras Blancas, Bordo de los Indios, and other sites in Catamarca Province, Argentina</p>
Planned developments and gated communities in the Los Angeles area, a database (2012) - IP4 Geographie-cités
<p>This database has been produced for the purpose of a project comparing suburban spatial structure of planned development in the Los Angeles region. The main goal was to investigate large subdivisions, planned residential developments, gated communities in a post-suburban realm, in a comparative perspective. The database allows to document the impacts of spatial structure (gated communities, enclosure, seclusion within dead-ends streets) on socio-economic homogeneity.</p> <p>Major descriptors of homogeneity have been measured with housing price and socio-economic characterization of residents (segregation patterns). It contains 2418 features, distributed as polygons and points ESRI shapefiles. <br> This project has been funded by the French National Agency for Research (ANR), in a collaboration with Institut Paris Region.</p>
Synthetic vehicle trajectory dataset for the metropolitan city of Los Angeles using DDTG
<p>The analysis of trajectory datasets has numerous applications ranging from urban planning to human mobility understanding, but to protect the privacy of individuals trajectory datasets are rarely released to researchers. And even when they are, they are limited in size and spatio-temporal coverage. To address these issues a number of methods for generating synthetic yet realistic trajectory datasets have been proposed. These existing methods either require a lot of complex parameters to be calibrated (simulators) or rely on existing trajectory datasets (generative models). We use our proposed, and recently published at IEEE BigData 2022 conference, Data-Driven Trajectory Generator, dubbed DDTG, to generate a synthetic vehicle trajectory dataset in the metropolitan city of Los Angeles. The dataset consists of 1.5 million trajectories spanning the first two weeks of December 2019.</p>
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.