AndreaBozzo/ceres-open-data-index huggingface dataset:
Positive Detection Breeding Bird Survey Route Stops - USGS [ds2800]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>To create this dataset, a few of the datasets available online were combined. The "50-StopData", "SpeciesList", and "routes" were used and joined together by CDFW staff. Negative detections were recorded, but removed from this dataset due to size constraints.</SPAN></P><P><SPAN>---------------------------------------------------------------------------------------------------------</SPAN></P><P><SPAN>The 1966-2022 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording all birds seen within a quarter-mile (400-m) radius and all birds heard. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are surveyed once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. No data are provided for 2020. BBS field activities were cancelled in 2020 because of the coronavirus disease (COVID-19) global pandemic and observers were directed to not sample routes. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.</SPAN></P></DIV></DIV></DIV>
Express Lanes

<div style="text-align:Left;"><div><div><p>The California HOV/Express Lane Business Plan is a framework for Caltrans and its partners to focus statewide activity during 2009-2011 that will lead the state to easily implement more flexible and effective system management strategies for HOV and Express Lane, also known as High Occupancy Tolling (HOT) or Managed Lane. The ultimate vision is a transportation system offering new commute choices and more reliable travel through congested corridors; where congestion is managed and the availability of an express service option is greatly improved, and where governments at all levels work together to manage demand with effective monitoring and adjustment of operations and design. In this Business Plan, Caltrans, regional transportation agencies, FHWA and the CHP, have developed a coordinated framework to guide the current and future development and operation of HOV and Express Lane throughout the state, capitalizing on strong partnerships and operating strategies already in place.The locations of the HOV/Express lanes are based on postmiles derived from an excel spreadsheet maintained by Caltrans, Division of Traffic Operations, Office of Traffic Management.Express Lanes Page</p></div></div></div>
High Occupancy Vehicle

<div style="text-align:Left;"><div><p>High-Occupancy Vehicle (HOV) lane, also known as the carpool or diamond lane, is a traffic management strategy to promote and encourage ridesharing; thereby alleviating congestion and maximizing the people-carrying capacity of California highways. HOV lane is usually located on the inside (left) lane and is identified by signs along the freeway and white diamond symbols painted on the pavement. In Northern California, HOV lanes are only operational on Monday thru Friday during posted peak congestion hours, for example: between 6 a.m. - 10 a.m. and 3 p.m. - 7 p.m. All other vehicles may use the lanes during off-peak hours. This is referred to as "part-time" operation. In Southern California, HOV lanes are generally separated from other lanes by a buffer zone. The HOV lanes are in effect 24-hours a day, 7-days a week, referred to as "full-time" operation. The locations of the HOV system are based on postmiles derived from an excel spreadsheet maintained by Caltrans, Division of Traffic Operations, Office of Traffic Management. High-Occupancy Vehicle Systems Page</p></div></div>
Drinking Water - Public Water System Information

<p>The is a curated dataset of information for all public water systems (PWS) in California, including the name, location and some general informaiton for each PWS.  The source of the data <a href="https://sdwis.waterboards.ca.gov/PDWW/">https://sdwis.waterboards.ca.gov/PDWW/</a> is a public web portal to view public water systems (PWS) location, facilities, sources, and samples.</p>
Housing Cost Burden

This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts.  Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]  Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc.  Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults.  Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing.  More information about the data table and a data dictionary can be found in the Attachments.
Automated Weather Observation System

<div style="text-align:Left;"><div><div><p>This layer was created from the California Aviation System Plan list of Automated Weather Observation Systems. The upgrades and distribution of Automated Weather Observing Systems (AWOS) Automated Surface Observation Systems (ASOS), and Automated Terminal Information Services (ATIS) in California are a critical part of the State aviation system. Access to localized weather conditions benefit both commercial and General Aviation (GA) operations. Caltrans Division of Aeronautics (Division) is monitoring the expansion and updating of the system with a focus on bringing more of this technology to key airports thereby improving air safety. Also, as AWOS/ASOS technology improves, the use of the hardware for shared uses, such as monitoring remote highways concurrently with remote airports is seen as an essential safety measure for normal as well as emergency response operations. The State is currently researching a cooperative approach to improving the road and aviation automated weather reporting system to support multimodal safety statewide. The expansion of the system through Public Private Partnerships (P3) is also becoming a topic of increasing interest as data and cost sharing strategies among various users becomes more desired, available and practical.</p><p></p><p><strong>Automated Weather Observation System (AWOS)</strong></p><p>AWOS is a computer-generated voice which is used to automate the broadcast of the minute-by-minute weather observations.</p><p><strong>Automated Surface Observation System (ASOS)</strong></p><p>The ASOS is the primary surface weather observing system of the United States.</p><p><strong>Automatic Terminal Information Service (ATIS)</strong></p><p>This the continuous broadcast of recorded non-control information which converts selected meteorological data and air traffic control data into human speech.</p><p></p></div></div></div>
Mill/Mountain Fire Structure Status

<p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Use this app to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.</span></p><p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><br /></span></p><p style='margin-bottom:0in; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102);'>For more information about the wildfire response efforts, visit the CAL FIRE <a href='https://www.fire.ca.gov/incidents/' target='_blank' rel='nofollow ugc noopener noreferrer'><span style='color:blue;'>incident page</span></a>.</span></p>
Mosquito Fire Structure Status - El Dorado County

<p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Use this app to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.</span></p><p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><br /></span></p><p style='margin-bottom:0in; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102);'>For more information about the wildfire response efforts, visit the CAL FIRE <a href='https://www.fire.ca.gov/incidents/' target='_blank' rel='nofollow ugc noopener noreferrer'><span style='color:blue;'>incident page</span></a>.</span></p>
COVID-19 Wastewater Surveillance Data. California

__NOTICE: As of September 6, 2024, the wastewater surveillance dataset will now be hosted on: https://data.chhs.ca.gov/dataset/wastewater-surveillance-data-california. The dataset will no longer be updated on this webpage and will contain a historic dataset. Users who wish to access new and updated data will need to visit the new webpage.__

The California Department of Public Health (CDPH) and the California State Water Resources Control Board (SWRCB) together are coordinating with several wastewater utilities, local health departments, universities, and laboratories in California on wastewater surveillance for SARS-CoV-2, the virus causing COVID-19. Data collected from this network of participants, called the California Surveillance of Wastewater Systems (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS).

During the COVID-19 pandemic, it has been used for the detection and quantification of SARS-CoV-2 virus shed into wastewater via feces of infected persons. Wastewater surveillance tracks ""pooled samples"" that reflect the overall disease activity for a community serviced by the wastewater treatment plant (an area known as a ""sewershed""), rather than tracking samples from individual people. Notably, while SARS-CoV-2 virus is shed fecally by infected persons, COVID-19 is spread primarily through the respiratory route, and there is no evidence to date that exposure to treated or untreated wastewater has led to infection with COVID-19.   

Collecting and analyzing wastewater samples for the overall amount of SARS-CoV-2 viral particles present can help inform public health about the level of viral transmission within a community. Data from wastewater testing are not intended to replace existing COVID-19 surveillance systems, but are meant to complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide the overall trend of virus concentration within that community. With our local partners, the SWRCB and CDPH are currently monitoring and quantifying levels of SARS-CoV-2  at the headworks or ""influent"" of 21 wastewater treatment plants representing approximately 48% of California's population."
Light Rail Routes

<p>This data is intended to assist staff and visitors to the California Energy Commission headquarters, 715 P Street, 3rd Floor, Sacramento, CA 95814 with nearby parking and transportation information. This information was collected from various sources and updated to the best of our knowledge. If you notice any inaccuracies, please email us at <a href='mailto:gis@energy.ca.gov' rel='nofollow ugc'>gis@energy.ca.gov</a> and we will update this information. For more information on conditions of use, please visit <a href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc'>https://www.energy.ca.gov/conditions-of-use</a>.</p><p>Data Sources:<br />City of Sacramento: <a href='https://www.cityofsacramento.gov/public-works/parking' rel='nofollow ugc'>https://www.cityofsacramento.gov/public-works/parking</a></p><p>California Department of General Services: <a href='https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking' rel='nofollow ugc'>https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking</a></p><p>Priority Parking: <a href='https://www.priorityparking.com/' rel='nofollow ugc'>https://www.priorityparking.com/</a></p><p>Sacramento Regional Transit: <a href='https://www.sacrt.com/systemmap/' rel='nofollow ugc'>https://www.sacrt.com/systemmap/</a></p>
CEC Parking and Transportation

<p>This data is intended to assist staff and visitors to the California Energy Commission headquarters, 715 P Street, 3rd Floor, Sacramento, CA 95814 with nearby parking and transportation information. This information was collected from various sources and updated to the best of our knowledge. If you notice any inaccuracies, please email us at <a href='mailto:gis@energy.ca.gov' rel='nofollow ugc'>gis@energy.ca.gov</a> and we will update this information. For more information on conditions of use, please visit <a href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc'>https://www.energy.ca.gov/conditions-of-use</a>.</p><p>Data Sources:<br />City of Sacramento: <a href='https://www.cityofsacramento.gov/public-works/parking' rel='nofollow ugc'>https://www.cityofsacramento.gov/public-works/parking</a></p><p>California Department of General Services: <a href='https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking' rel='nofollow ugc'>https://www.dgs.ca.gov/OFAM/Resources/Page-Content/Office-of-Fleet-and-Asset-Management-Resources-List-Folder/Parking-Locations-and-Hours-of-Operation?search=parking</a></p><p>Priority Parking: <a href='https://www.priorityparking.com/' rel='nofollow ugc'>https://www.priorityparking.com/</a></p><p>Sacramento Regional Transit: <a href='https://www.sacrt.com/systemmap/' rel='nofollow ugc'>https://www.sacrt.com/systemmap/</a></p>
Sacramento Parking Map Data Download (GDB/KMZ)

<div><span style='font-size:15px;'><br /></span></div><div><span style='font-size:15px;'>This map is intended to assist staff and visitors to the California Energy Commission headquarters, 715 P Street, 3rd Floor, Sacramento, CA 95814 with nearby parking and transportation information. This information was collected from various sources and updated to the best of our knowledge. If you notice any inaccuracies, please email us at gis@energy.ca.gov and we will update this information. For more information on conditions of use, please visit https://www.energy.ca.gov/conditions-of-use.</span></div>
Elk Home Range - Potter-Redwood Valley - 2023-2024 [ds3191]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The project lead for the collection of this data was Carrington Hilson. Elk (9 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2023-2024. The Potter-Redwood Valley herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 6.5 hour intervals in the dataset. To improve the quality of the data set, all points with DOP values greater than 5 and those points visually assessed as a bad fix by the analyst were removed. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>The methodology used for this migration analysis allowed for the mapping of the herd's home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 8 elk, including 15 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Home range is visualized as the 50</SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample. </SPAN></SPAN></P></DIV></DIV></DIV>
Elk Home Range - Lone Pine - 2023-2024 [ds3192]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2023-2024. The Lone Pine herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 6.5 hour intervals in the dataset. To improve the quality of the data set, all points with DOP values greater than 5 and those points visually assessed as a bad fix by the analyst were removed. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>The methodology used for this migration analysis allowed for the mapping of the herd's home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 2 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Home range is visualized as the 50</SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample. </SPAN></SPAN></P></DIV></DIV></DIV>
CalEnviroScreen 10th Anniversary

<p></p><p>It has been 10 years since CalEPA and OEHHA released the first version of <a href='https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40' target='_blank' rel='nofollow ugc noopener noreferrer'><strong>CalEnviroScreen</strong></a>, a groundbreaking environmental justice (EJ) mapping tool that identifies areas most affected by multiple forms of pollution. We would like to acknowledge the work that went into the project and celebrate the many people that informed the direction of CalEnviroScreen. </p><p>Over the past decade, the tool has focused environmental protection and enforcement actions by combining a variety of data sources to highlight communities living at the intersection of pollution and poverty. It has become a powerful way for EJ communities to bring data-driven attention to issues they face and has helped direct over 6 billion dollars in <a href='https://www.caclimateinvestments.ca.gov/priority-populations' target='_blank' rel='nofollow ugc noopener noreferrer'>California climate investments</a>. </p>
10º Aniversario de CalEnviroScreen

<p></p><p></p><p>Han pasado 10 años desde que la CalEPA y la Oficina de Evaluación de Riesgos para la Salud Ambiental (OEHHA, por sus siglas en inglés) publicaron la primera versión de CalEnviroScreen, un innovador instrumento de mapeo de justicia ambiental (EJ, por sus siglas en inglés) que identifica las áreas más afectadas por múltiples formas de contaminación. Nos gustaría reconocer el trabajo realizado en el proyecto y celebrar la labor de muchas personas que contribuyeron a la dirección de CalEnviroScreen. </p>
CalEnviroScreen 4.0 Results

<div><p>The Office of Environmental Health Hazard Assessment (OEHHA) 
announces the availability of a new version of the California 
Communities Environmental Health Screening Tool: CalEnviroScreen 4.0. 
CalEnviroScreen is a screening methodology that can be used to help 
identify California communities that are disproportionately burdened by 
multiple sources of pollution.The<a href='https://experience.arcgis.com/experience/11d2f52282a54ceebcac7428e6184203/' rel='nofollow ugc'> CalEnviroScreen 4.0 results </a>are available as a mapping tool. <a href='https://experience.arcgis.com/experience/ed5953d89038431dbf4f22ab9abfe40d/' target='_blank' rel='nofollow ugc noopener noreferrer'>Maps of the CalEnviroScreen 4.0 Indicators </a>are also available.</p>

	<p>This version updates CalEnviroScreen in a variety of ways:</p>

	<ul><li>All indicators contain the most recent available data.</li><li>There are improvements in the way some indicators are calculated 
to better reflect environmental conditions or population vulnerability 
to pollution.</li><li>One new indicator, <a href='https://oehha.ca.gov/calenviroscreen/warning/childrens-lead-risk-housing' rel='nofollow ugc'>Children’s Lead Risk from Housing</a>, accounts for possible lead exposure from paint and other sources in or around the home.</li></ul></div>
CalEnviroScreen 4.0 Indicator Maps

<div>Map containing all the twenty one CalEnviroScreen 4.0 indicators as well as pollution burden and population characteristics maps. Additional information on indicator maps is provided when available, such as the contaminants in the indicator, location of facilities or languages spoken other than English, in the map and popup.</div><div><br /></div><div>CalEnviroScreen 4.0 was released in October 2021.<br /></div>