Mapping incident locations from a CSV file in a web map (YouTube video).

Cities have gotten creative with map-based apps and dashboards to connect citizens to food, and help small businesses get the word out about available services.Key TakeawaysFamilies find resources using local maps of food banks and school district distribution centers.Local businesses benefit from interactive maps showing residents available services for delivery and take out.With volatile grocery store inventory, shoppers rely on crowdsourced maps to know what’s in stock._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

With the White House release of guidelines for states to reopen and employees to gradually return to work, facilities are tasked with complex challenges. Managers must make decisions to ensure a safe work environment and adhere to social distancing requirements. Office layouts must be restructured for adequate spacing between workspaces and to allow for routing that minimizes close-proximity encounters. Clear communication with staff will also be a key factor: Which areas should be avoided? When has an area last be cleaned?The ArcGIS Indoors system from Esri can help answer these geospatially focused questions for reopening the workplace. With indoor maps and an indoor positioning system, managers can create a floor-plan level awareness of the workplace, one that will allow for safe reopening._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

GISCorps quickly marshaled its members to build a nationwide map of COVID-19 testing sites.Key TakeawaysGISCorps rallies to provide quick, expert mapping help in times of crisis.Volunteers aggregate data on testing sites to create an authoritative national map.Additional map project memorializes victims and survivors of COVID-19._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Create a basic Story Map: Disease investigations (Learn ArcGIS PDF Lesson). This lesson will show you how to prepare a story map explaining John Snow’s famous investigation of the 1854 cholera outbreak in London._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Models and Maps Explore COVID-19 Surges and Capacity to Help Officials PrepareMultiple models provide up-to-date estimates of how many people will need to be hospitalized, and maps help explore hospital capacity and impacts to people.CHIME model_Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Florida’s COVID-19 Data and Surveillance Dashboard provides clear communication as well as the data that drives decision-making.Key TakeawaysFlorida Department of Health’s dashboard is the public face of the state’s COVID-19 response effort.Opening data to researchers allows many experts to run models and offer insights.Close collaboration fostered in past disasters improves response efforts._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

LouVelo is a docked bikeshare program owned by Louisville Metro Government and operated by Cyclehop since May of 2017. The System includes Approximately 250 bikes, 25 Docked Stations in Louisville, and an additional 3 stations owned and operated by the City of Jeffersonville in Partnership with Cyclehop. This map will be updated on a monthly basis to show monthly trends in ridership along with general patterns of use with pick up and drop off location data. This map is intended to show ridership for the entirety of the program. Some stations have been relocated since the programs founding. For up to date information on dock locations please view the system map on the LouVelo website. This dashboard is maintained by Louisville Metro Public Works.For any questions please contact:James GrahamMobility CoordinatorLouisville Metro Public WorksDivision of Transportation444 S. 5th, St, Suite 400Louisville, KY 40202(502) 574-6473james.graham@louisvilleky.govFor more information about the LouVelo bikeshare program please visit their website.

Mitochondria are dynamic organelles that continually adapt their morphology by fusion and fission events. An imbalance between fusion and fission has been linked to major neurodegenerative diseases, including Huntington’s, Alzheimer’s, and Parkinson’s diseases. A member of the Dynamin superfamily, dynamin-related protein 1 (DRP1), a dynamin-related GTPase, is required for mitochondrial membrane fission. Self-assembly of DRP1 into oligomers in a GTP-dependent manner likely drives the division process. We show here that DRP1 self-assembles in two ways: i) in the presence of the non-hydrolysable GTP analog GMP-PNP into spiral-like structures of ~36 nm diameter; and ii) in the presence of GTP into rings composed of 13−18 monomers. The most abundant rings were composed of 16 monomers and had an outer and inner ring diameter of ~30 nm and ~20 nm, respectively. Three-dimensional analysis was performed with rings containing 16 monomers. The single-particle cryo-electron microscopy map of the 16 monomer DRP1 rings suggests a side-by-side assembly of the monomer with the membrane in a parallel fashion. The inner ring diameter of 20 nm is insufficient to allow four membranes to exist as separate entities. Furthermore, we observed that mitochondria were tubulated upon incubation with DRP1 protein in vitro. The tubes had a diameter of ~ 30nm and were decorated with protein densities. These findings suggest DRP1 tubulates mitochondria, and that additional steps may be required for final mitochondrial fission.

For the first time, we are experiencing a global pandemic and analyzing it as it happens. Using five-research based pandemic trends we describe how each country is doing. To explain the trends, we created the COVID-19: The First Global Pandemic of the Information Age Story Map. The story also has maps showing the key aspects of each country’s situation. We will update the maps each day with the previous day of data from Johns Hopkins University.

Our Recent Earthquakes - Live Feed Service updated with the new 'Feature Display Order' capability, now available when using the new Map Viewer. Allowing it to render features based on the Magnitude Order for Quake Events, and Intensity Order for Shakemap features. This brings attention to critical events and greatly improves Feature visibility!In addition to displaying earthquakes by magnitude, this service also provide earthquake impact details. Impact is measured by population as well as models for economic and fatality loss. For more details, see: PAGER Alerts.Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:Events with a Magnitude LESS than 3.0 are retained for 3 daysEvents with a Magnitude LESS than 4.5 are retained for 7 daysIn addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.The specific layers provided in this service have been Time Enabled and include:Events by Magnitude: The event’s seismic magnitude value.Contains PAGER Alert Level: USGS PAGER (Prompt Assessment of Global Earthquakes for Response) system provides an automated impact level assignment that estimates fatality and economic loss.Contains Significance Level: An event’s significance is determined by factors like magnitude, max MMI, ‘felt’ reports, and estimated impact.Shake Intensity: The Instrumental Intensity or Modified Mercalli Intensity (MMI) for available events.For field terms and technical details, see: ComCat DocumentationThis map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

Abstract: Stress drop catalog data publication supplement for "A Comprehensive Stress Drop Map from Trench to Depth in the Northern Chilean Subduction Zone" (Folesky, J., Pennington, CN., Kummerow J., Hofman LR. (JGR: Solid Earth, 2023) https://doi.org/10.1029/2023JB027549), obtained from wave form analysis using the spectral decomposition technique. Time duration is 2007 to 2021. Seismic events were taken from the IPOC catalog (Sippl, C., Schurr, B., Münchmeyer, J., Barrientos, S., Oncken, O. (2023): Catalogue of Earthquake Hypocenters for Northern Chile from 2007-2021 using IPOC (plus auxiliary) seismic stations.
https://doi.org/10.5880/GFZ.4.1.2023.004). Wave forms were obtained from the EIDA/GEOPHONE web page (eida.gfz-potsdam.de/webdc3/ or geofon.gfz-potsdam.de/waveform/)

File descriptions: table columns
ID, cls, Lon, Lat, Depth, Magntiude, vssource, fc1, fcbound1, fcbound2, sd
------------------
explanation
ID : origin time
cls : event class
Lon : longitude
Lat : latitude
Depth : depth in km
Magnitude : magnitude (MA)
vssource. : s- wave velocity at the event location
fc1. : corner frequency in Hz
fcbound1 : lower bound for fc1 from 5% variance reduction test in Hz
fcbound2. : upper bound for fc2 from 5% variance reduction test in Hz
sd : stress drop estimate in MPa

A list of drop-off locations to recycle waste oil, oil filters, tires, automotive batteries, metal scrap, aluminum cans, tin cans, glass, plastic, corrugated boxes newspapers and other papers.

This map shows the percentage of high school drop outs by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of high school drop outs. The darker shaded counties have higher percentages of high school drop outs. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

Pick-Up/Drop-Off (PUDO) Zones Map Section

This benchmark data was train and evaluate the models presented in the paper: A. Partin and P. Vasanthakumari et al. "Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis"

The benchmark data for Cross-Study Analysis (CSA) include four kinds of data, which are cell line response data, cell line multi-omics data, drug feature data, and data partitions. The figure below illustrates the curation, processing, and assembly of benchmark data, and a unified schema for data curation. Cell line response data were extracted from five sources, including the Cancer Cell Line Encyclopedia (CCLE), the Cancer Therapeutics Response Portal version 2 (CTRPv2), the Genomics of Drug Sensitivity in Cancer version 1 (GDSC1), the Genomics of Drug Sensitivity in Cancer version 2 (GDSC2), and the Genentech Cell Line Screening Initiative (GCSI). These are five large-scale cell line drug screening studies. We extracted their multi-dose viability data and used a unified dose response fitting pipeline to calculate multiple dose-independent response metrics as shown in the figure below, such as the area under the dose response curve (AUC) and the half-maximal inhibitory concentration (IC50). The multi-omics data of cell lines were extracted from the the Dependency Map (DepMap) portal of CCLE, including gene expressions, DNA mutations, DNA methylation, gene copy numbers, protein expressions measured by reverse phase protein array (RPPA), and miRNA expressions. Data preprocessing was performed, such as descritizing gene copy numbers and mapping between different gene identifier systems. Drug information was retrived from PubChem. Based on the drug SMILES (Simplified Molecular Input Line Entry Specification) strings, we calculated their molecular fingerprints and descriptors using the Mordred and RDKit Python packages. Data partition files were generated using the IMPROVE benchmark data preparation pipeline. They indicate, for each modeling analysis run, which samples should be included in the training, validation, and testing sets, for building and evaluating the drug response prediction (DRP) models. The Table below shows the numbers of cell lines, drugs, and experiments in each dataset. Across the five datasets, there are 785 unique cell lines and 749 unique drugs. All cell lines have gene expression, mutation, DNA methylation, and copy number data available. 760 of the cell lines have RPPA protein expressions, and 781 of them have miRNA expressions.

Further description is provided here: https://jdacs4c-improve.github.io/docs/content/app_drp_benchmark.html

The medication collection and disposal program provides a safe disposal location for citizens to properly dispose of unused household medications

The "Dark Skies" layer was adopted by the BOS in January 2012, prior to final adoption of the Rural Outdoor Lighting District ordinance in November 2012. Please click here to view the full-size Supplemental Districts map in the DRP Map Catalog. "Rural Outdoor Lighting District" is one of the featured layers in this map. These areas only fall within UNINCORPORATED Los Angeles County.For further information, please contact the Ordinance Studies Section, or visit the Rural Outdoor Lighting District Ordinance page on the DRP website at https://planning.lacounty.gov/view/rural_outdoor_lighting_district_ordinance/. Source: L.A. County Department of Regional Planning (DRP) Ordinance Studies and GIS Sections; last update: November 27, 2018 for the Plum Canyon / Skyline Ranch / North Sand Canyon annexation to the City of Santa Clarita.LAST UPDATED: 12/20/22 for Annexation #2021-01 (Tesoro Del Valle)NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

A map used in the Drug Drop-off Locator to locate facilities where unused prescription drugs can be safely disposed.

Full datas set of archival materials from the Otto Geist collection of the University of Alaska Fairbanks Archives. Includes historical mining maps, reports on mining deposits, census data, ecosystem data, economic data and cultural practice information. Geographical focus of the data is the Nome region of Alaska, St. Lawrence Island, Point Hope and Savoonga. Contains approximately 200 archival documents with ~1000 pages of text, plus maps and photographs.