AndreaBozzo/ceres-open-data-index huggingface dataset:
Idaho Lidar Consortium (ILC): Nez Perce Reservation

The lidar survey was conducted by vendor Spencer B. Gross, 13545 NW Science Park dr.,97229, Portland, OR. Lidar instrument Leica ALS40 was flown over the period of 13 and 26 July 2002. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of four blocks totaling 24, 729 hectares in Nez Perce Reservation, which is located in central Idaho and is a land of beautiful rivers and steep mountains.The data were delivered in ASCII format with information on easting, northing and elevation for each Lidar pulse. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). Evans, J.S., and A.T. Hudak. (2007) A multiscale curvature algorithm for classifying discrete return lidar in forested environments. IEEE Transactions on Geoscience and Remote Sensing 45(4): 1029-1038.

Organization: OpenTopography
Slumgullion Landslide, Colorado (July 7, 2015)

Airborne lidar was collected by NCALM for PI Dr. Hyongki Lee (University of Houston) over the Slumgullion Landslide, Colorado. This dataset includes data from survey two of three in the collection. Three surveys were conducted on July 3, 7, 10, 2015 (DOY 184, 188, 191).  The Slumgullion Earthflow, a slow moving landslide, crawled down the valley about 700 years ago creating the 4 miles (6.4 km) long and 2,000 feet (610 m) wide mass. The earthflow lies a few miles south east of Lake City. The landmark site covers 1,291 acres (522 ha) and is owned by the US Forest Service and the Bureau of Land Management. It is "a striking example of mass wasting (the movement of large masses of earth material)." Lake San Cristobal was dammed by the earthflow. The earthflow has been moving continuously for about 300 years over older stable rock. It moves at a rate of about 7 meters (23 feet) per year. Slumgullion Earthflow. (2017, April 12). In Wikipedia, The Free Encyclopedia. Retrieved 16:39, June 29, 2017, from https://en.wikipedia.org/w/index.php?title=Slumgullion_Earthflow&oldid=775038032

Organization: OpenTopography
Idaho Lidar Consortium (ILC): Clear Creek

The lidar survey was conducted by vendor Earth Eye LLC, 3680 Avalon Park Blvd. The data were delivered in LAS 1.1 format with information on return number, easting, northing, elevation, scan angle, and intensity for each return. This project is the data acquisition phase of a administrative study being done in collaboration with the Nez Perce National Forest, Grangeville, ID; Forest Service Region 1 Regional Office, Missoula, MT (Forest Inventory and Analysis and Remote Sensing/ Geospatial Team); and Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 17, 325 hectares in north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components. Clear Creek is a tributary of the Middle Fork Clearwater River located east of Kooskia, Idaho. Vegetation is variable, transitioning from low elevation shrubland and mixed conifers to upper elevation spruce-fir. Ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) are the predominant species at lower to mid elevations occupying a fairly xeric setting transitioning to grand fir (Abies grandis) and western red cedar (Thuja plicata) at mid elevations and subalpine fir (Abies lasiocarpa) at the higher elevations.

Organization: OpenTopography
USBR Upper Columbia River Basin East

These Lidar data were collected on October 16 to November 5, 2006  by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the Upper Okanogan River in Canada, the Lower Okanogan River in Washington State, and Lake Roosevelt in Washington State. The study areas total ~560 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): Lolo Creek and Slate Creek

Lidar instrument was flown with a Leica ALS50 Lidar system over the period of September 29 - October 3, 2006. This project is the data acquisition phase of a administrative study being done in collaboration with the Nez Perce National Forest, Grangeville, ID; Forest Service Region 1 Regional Office, Missoula, MT (Forest Inventory and Analysis and Remote Sensing/ Geospatial Team); and Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of two contiguous blocks totaling 42,889 hectares in north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components. Vegetation is variable, transitioning from low elevation shrubland and mixed conifers to upper elevation spruce-fir. Ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) are the predominant species at lower to mid elevations occupying a fairly xeric setting transitioning to grand fir (Abies grandis) and western red cedar (Thuja plicata) at mid elevations and subalpine fir (Abies lasiocarpa) at the higher elevations.

Organization: OpenTopography
Plum Island, MA

NCALM Project. PI: Vinton Valentine, Woods Hole Marine Biological Laboratory. The survey area is an irregular polygon (148 square kilometers) at the Plum Island River in northeast Massachusetts. The eastern third of the polygon was flown on Monday April 18, 2005. The central third was flown early Tuesday morning April 19, 2005 and the last third (the Parker River area) was flown on the afternoon of the 19th.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): South Fork Salmon and Secesh Rivers

These LAS and associated files cover areas of the Payette and Boise National Forests, Idaho, and were collected for and processed by the USDA Forest Service, Moscow, ID in cooperation with Watershed Sciences Inc. of Corvallis Oregon, as a part of a project to use Lidar to study wildfire effects on forest canopy structure and hillslope erosion patterns. Data included with this set include the original .las data tiles, a shapefile delimiting the extent and placement of all of these tiles, another shapefile delimiting the total extent (boundary) of the data , and a vendor's report in PDF format detailing the data collection, processing, and error-checking steps. The data are in LAS 1.0 format with information on return number, easting, northing, elevation, scan angle, number of returns of given pulse, intensity, user data, point source ID, and GPS time.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): Moscow Mountain

This is collection level metadata for LAS files collected by USDA - Forest Service as a part of a larger project to use Lidar for forestry application. The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, South Dakota. Lidar instrument was flown with Leica ALS40 over the period of Aug, 13-14, 2003. The data were delivered in ASCII format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 32708 hectares in Moscow Mountain, Moscow, north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.

Organization: OpenTopography
Idaho Lidar Consortium (ILC): St. Joe National Forest

The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, Rapid City, South Dakota. Lidar instrument was flown in a Leica ALS40 on July 23, August 11 or September 22, 2003. The data were delivered in ascii format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). This project is the data acquisition phase of an administrative study being done by Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The St. Joe National Forest area consists of one contiguous block totaling ~ 55684 hectares in north central Idaho, between Deary and Clarkia. The project area consists of moderately variable topographic configurations with diverse vegetation components.

Organization: OpenTopography
2010 Salton Sea Lidar Collection

Lidar dataset collected for the five kilometer zone around the entire shoreline of the Salton Sea.  Data obtained in November 2010, at around annual lake minimum level.  Target lidar point density was 5 points per square meter and targeted vertical accuracy was   /- 9.25 cm.  Data were delivered in 1,500 meter by 1,500 meter tiles.  Deliverables included a bare earth digital elevation model with a one meter cell, raw swath LAS files, classified LAS files, metadata, and ancillary data including survey reports.  All data are in the public domain.

Organization: OpenTopography
Manawatu - Whanganui, New Zealand 2015

This is a reprocessed dataset of the Manawatu-Whanganui 2015 LiDAR Project. It was re-supplied by Aerial Surveys for Land Information New Zealand, and includes peripheral data not part of the original survey obtained by Horizons (Manawatu-Wanganui) Regional Council. The survey area includes Bulls, Ohura, parts of Fielding and Marton. These datasets were generated by Aerial Surveys and their subcontractors. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Queenstown, Otago, New Zealand 2016

Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016.  The original datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Queenstown, Arrowtown, Frankton and Lake Hayes. Data management and distribution is by Land Information New Zealand.  Prepared DEM and DSM files are available through the LINZ Data Service:    Queenstown, Otago Digital Elevation Model  Queenstown, Otago Digital Surface Model  

Organization: OpenTopography
Otago, New Zealand 2016

Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016.  The original datasets were generated by Aerial Surveys and their subcontractors. The survey areas includes Cardrona Township, Molyneux, Mosgiel, Oamaru, Taranui, Taieri Plains, parts of the Waitaki Basin and the Kakanui, Kauru, Manuherikia, Pomahaka, Shag and Waianakarua rivers. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Central Utah: Topographic Amplification of Earthquake Ground Motions

NCALM Seed Project. PI: Clinton M. Wood, University of Arkansas. The survey area is a square polygon with a surface area of 40.771 km2. The polygon is located approximately 95 km southeast of Provo, UT and 33 km east of Ephrain, UT. The data were collected to study the topographic amplification of earthquake ground motions.

Organization: OpenTopography
Ladron Peak, New Mexico Survey

NCALM Seed. PI: Hugo Gutierrez Jurado, New Mexico Tech. The survey area is located east of Ladron Peak in New Mexico, about 40 kilometers north-northwest of Socorro. It consisted of a single polygon enclosing an area of approximately 48 square kilometers. The survey was carried out on September 25, 2007 in a single flight.

Organization: OpenTopography
SW Montana: Beavers as Geomorphic Agents in Small, Rocky Mountain Streams

NCALM Seed Project. PI: Rebekah Levine, University of New Mexico. The area of interest is defined by an irregular polygon with an area of 39.9 km2 and located approximately 170 km southeast of Butte, MT, 295 km southwest of Billings, MT, and 55 km west of West Yellowstone, MT. The data were collected for a study of beavers as geomorphic agents in small, Rocky Mountain streams.

Organization: OpenTopography
Meteor Crater, AZ

NCALM Seed Project. PI: Marisa Palucis, University of California Berkeley. The survey area is a rectangular polygon, roughly 5.44 km on a side, enclosing the Barringer Meteorite Crater and its ejecta blanket. The project area is located 60 km southeast of Flagstaff, AZ and 30 km west of Winslow, Az. The polygon has a surface area of 29.7 km2; the requirement indicates two point densities one for the crater walls and rim of 8 pts/ m2, and one for the surrounding area of 4 pts/m2.

Organization: OpenTopography
Southern Sierra Nevada Critical Zone Observatory: Snow Off

Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6).  This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data.  The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.

Organization: OpenTopography
Southern Sierra Nevada Critical Zone Observatory: Snow On

Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6).  This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data.  The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.

Organization: OpenTopography
Eagle Creek Fire Area in the Columbia River Gorge, Oregon

This data sets maps the area affected by the Eagle Creek Wildfire in the Columbia River Gorge, Oregon.   Datasets were collected in May 2018  by the National Center for Airborne Laser Mapping (NCALM) as part of a project for Dr. Joshua Roering at the University of Oregon.  The survey area covers approximately 309 square kilometers of land affected by the wildfire.

Organization: OpenTopography
EDA Faces Challenges in Effectively Monitoring Its Revolving Loan Funds

An audit with findings and recommendations for improvements of management of EDA's Revolving Loan Fund program.  This program is designed to provide grants to state and local governments, political subdivisions, and nonprofit organizations to operate lending programs to businesses that cannon get traditional bank financing.

Tags: audit-eda, economic-development-administration-audit, oig-audit-eda
Organization: Department of Commerce
Mapping Hemingway in Idaho

<div>This Story Map locates some of the important geographical sites that were part of the many years Ernest Hemingway spent in Idaho's Wood River Valley and the surrounding regions.<br /></div><div><div> </div><div>This project is an ongoing collaboration between the North Idaho College English Department, University of Idaho Library Data &amp; Digital Services Department, and the Ketchum Community Library. Our map is intended to visualize the cartography of Hemingway's Idaho travels and provide the locations of several Hemingway legacy sites, such as his grave and the Hemingway Memorial. We hope to provide students, Hemingway aficionados, and scholars new perspectives on the diversity and range of his time spent in Idaho. </div></div>

Tags: ernest-hemingway, idaho, ketchum, landscape, literary-cartography, literary-mapping, literature, mapping-hemingway, spatial-literary-studies, sun-valley, wood-river-valley
Organization: University of Idaho
Aerial Imagery of Idaho (2011, 1-meter)

<div style='text-align:Left;'><div><div><p><span>The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs. Ortho imagery provides an effective, intuitive means of communication about farm program administration between FSA and stakeholders. New technology and innovation is identified by fostering and maintaining a relationship with vendors and government partners, and by keeping pace with the broader geospatial community. As a result of these efforts the NAIP program provides three main products: DOQQ tiles, Compressed County Mosaics (CCM), and Seamline shape files. The Contract specifications for NAIP imagery have changed over time reflecting agency requirements and improving technologies. These changes include image resolution, horizontal accuracy, coverage area, and number of bands. In general, flying seasons are established by FSA and are targeted for peak crop growing conditions. The NAIP acquisition cycle is based on a minimum 3 year refresh of base ortho imagery. The tiling format of the NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer on all four sides. NAIP quarter quads are formatted to the UTM coordinate system using the North American Datum of 1983. NAIP imagery may contain as much as 10% cloud cover per tile.</span></p><p><span>NAIP imagery is available for distribution within 60 days of the end of a flying season and is intended to provide current information of agricultural conditions in support of USDA farm programs. For USDA Farm Service Agency, the 1 meter and 1/2 meter GSD product provides an ortho image base for Common Land Unit boundaries and other data sets. The 1 meter and 1/2 meter NAIP imagery is generally acquired in projects covering full states in cooperation with state government and other federal agencies that use the imagery for a variety of purposes including land use planning and natural resource assessment. The NAIP is also used for disaster response. While suitable for a variety of uses, prior to 2007 the 2 meter GSD NAIP imagery was primarily intended to assess &quot;crop condition and compliance&quot; to USDA farm program conditions. The 2 meter imagery was generally acquired only for agricultural areas within state projects.</span></p></div></div></div>

Tags: aerial-photo, aerial-photography, aerial-photography-field-office-apfo, air-photo, color-infrared, farm-service-agency-fsa, idaho-naip-2011, imagery, national-agricultural-imagery-program-naip, ortho-imagery, orthoimagery, orthophotography, orthorectified-imagery
Organization: University of Idaho
Data for Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data

This is the dataset for the research article "Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data".  It contains log reduction results for various exposure conditions as described in the text. 

This dataset is associated with the following publication:
Schoen, M., M. Jahne, and J. Garland. A risk-based evaluation of onsite, non-potable reuse systems developed in compliance with conventional water quality measures.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 18(3): 331-344, (2020).

Tags: exposure-assessment, graywater, qmra, wastewater, water-reuse
Organization: U.S. Environmental Protection Agency