AndreaBozzo/ceres-open-data-index huggingface dataset:
Friant Kern Canal At Woollomes Ave beta-BHC ug/L Time Series Data

Measurements of beta-BHC collected at Friant Kern Canal At Woollomes Ave. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
National Wildlife Refuge System Map

When President Theodore Roosevelt made Florida's tiny Pelican Island a refuge for birds in 1903, he wrote the ¬first chapter of a great American conservation success story. Entering its second century, the National Wildlife Refuge System comprises 150 million acres, protected within more than 565 Refuges and thousands of small prairie wetlands that serve as waterfowl breeding and nesting areas. There are wildlife refuges in every State, and at least one within an hour's drive of every major American city, providing refuge for people as well as wildlife. National Wildlife Refuges are far more than havens for wild plants and animals. In fact, visitors–more than 40 million each year–are welcome on 98 percent of wildlife refuges, where they are encouraged to take part in outdoor pursuits designated by law as priority activities offered by the National Wildlife Refuge System. From environmental education and interpretation to hunting and fishing to photography and wildlife watching, refuges offer visitors the most natural and wild outdoor experience, teaching millions the importance of taking care of our natural resources. This map shows the lands and waters managed by the National Wildlife Refuge System. The U.S. Fish and Wildlife Service is a Federal Agency whose mission, working with others, is to conserve fish and wildlife and their habitats for the continuing benefit of the American people.

Tags: boundaries, cartography, locations, map, refuges
Organization: Department of the Interior
Invasive Plant Inventory and Early Detection Prioritization Tool for Ohio River Islands NWR

In 2010-2013, the U. S. Fish and Wildlife Service (USFWS) partnered with Utah State University to conduct invasive plant prioritization workshops and inventories on selected National Wildlife Refuges across the United States.  The purpose of these workshops and subsequent inventories was to inform and improve the process of planning and implementing invasive plant inventories or early detection.  These workshops highlighted the need for an objective, transparent and documented process for deciding which invasive plant species should be a focus of inventory or early detection (and ultimately management) and where. A result of this partnership is the Invasive Plant Inventory and Early Detection Prioritization Tool (IPIEDT) and associated user's guide.  The tool is a Microsoft Access database (2010 or later) that utilizes site-specific knowledge and harnesses existing invasive plant information (invasive species risk rankings) to identify priority species and areas for inventory or early detection. The tool produces a ranked list of areas and invasive plant species to consider for inventory or early detection. Once the location and abundance of priority invasive plants are understood, this information can be used to decide what specific management strategies should be employed and where. Interior 1 Regional and Refuge staff used the database developed by Utah State and the Pacific Southwest Region to prioritize areas and invasive species at Ohio River Islands. The attached products are the result of that prioritization.

Tags: ailanthus-altissima, autumn-olive, chinese-honeysuckle, copal-tree, early-detection, elaeagnus-umbellata, fallopia-japonica, general-biology-invasive-species-invasive-exotic-plants, honeysuckle, humulus-japonicus, invasive, ipiedpt, japanese-honeysuckle, japanese-hop, japanese-knotweed, japanese-stiltgrass, lonicera, lonicera-japonica, microstegium-vimineum, nepalese-browntop, oleaster, plant, prioritization, tool, tree-of-heaven
Organization: Department of the Interior
Interagency Ecological Program and US Fish and Wildlife Service: Juvenile/Larval Fish and Zooplankton collections at Liberty Island, California 2002-2005 & 2013-2019

The U.S. Fish and Wildlife Service (USFWS) Lodi Fish and Wildlife Office (LFWO) Delta Juvenile Fish Monitoring Program (DJFMP) has intermittently sampled Liberty Island with various equipment since 2002. Liberty Island was a reclaimed agricultural island until it flooded in 1997-1998 and we subsequently left to passively restore as a tidally influenced wetland. Larval trawls and beach were the only sampling methods used during both early (2002-2005) and late (2009-2019) sampling periods. The main purpose of the sampling was to gather information about fish presence and abundance in Liberty Island during the passive restoration, with an emphasis on reproductive and early life-stages of native species. Larval trawls, or tow nets, were used to catch larval fish in 2004-2005 and again from 2013-2019. Zooplankton nets were used 2013-2019. Water quality measurements were collected alongside each tow.

Tags: abundance, aquatic-ecosystems, brackish-water, chinook-salmon, delta-smelt, ecology, endangered-species, estuaries, fishes, freshwater, general-biology-at-risk-biota-te-species, general-biology-communities-and-ecosystems-estuary, general-biology-communities-and-ecosystems-ocean, general-biology-communities-and-ecosystems-riverine, general-biology-invasive-species-invasive-exotic-animals, general-biology-species-fishes, general-management-natural-resources-management-fisheries-management, general-management-natural-resources-management-water-management, general-water-hydrology-estuary, interagency-ecological-program, invasive-species, largemouth-bass, longfin-smelt, mississippi-silverside, rivers, sacramento-san-joaquin-delta, sacramento-splittail, san-francisco-estuary, united-states-fish-and-wildlife-service, water-quality
Organization: Department of the Interior
USFWS Larval White Sturgeon Monitoring, San Joaquin River, 2013-2017

Overview
The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for larval White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office.

SJR_Larval_WST_Set Data: This dataset contains data on an experimental sampling program using boat-mounted drift nets (D-frame nets), a large drift net attached to a stationary pontoon (pontoon net), and otter trawls to catch larval White Sturgeon in the San Joaquin River. Sets were made at targeted locations from March-July in 2013, 2015, 2016, and 2017. A total of ten White Sturgeon were captured in 2016 and 11 in 2017, all with D-frame driftnets.

SJR_Larval_WST_Catch Data: This dataset contains data for individual fish caught in the San Joaquin River. Species and fork length were recorded for most individuals.

SJR_Fish_Taxonomy Data: This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

Tags: acipenser-transmontanus, anadromous, cvpia, general-biology-at-risk-biota-te-species, general-biology-communities-and-ecosystems-riverine, general-biology-species-fishes, general-management-natural-resources-management-fisheries-management, san-joaquin-river, united-states-fish-and-wildlife-service, usfws, white-sturgeon
Organization: Department of the Interior
Folsom South Canal At Grantline Rd Fluoranthene ug/L Time Series Data

Measurements of Fluoranthene collected at Folsom South Canal At Grantline Rd. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
Friant Kern Canal At Woollomes Ave Tetrachloroethene ug/L Time Series Data

Measurements of Tetrachloroethene collected at Friant Kern Canal At Woollomes Ave. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
[Lake Andes Wetland Management District: Aerial Photograph of Easement 10x in Yankton County, SD, 1979]

This oblique aerial photograph from the Lake Andes Wetland Management District shows a drainage violation on Easement 10x in Yankton County, SD in 1979. It is not intended for GIS use.

Tags: aerial-photograph, general-biology-communities-and-ecosystems-wetland, general-management-natural-resources-management-water-management
Organization: Department of the Interior
[Lake Andes Wetland Management District: Aerial Photograph of Sullivan WPA in Miner County, SD, 1967]

This oblique aerial photograph from the Lake Andes Wetland Management District shows Sullivan WPA  in Miner County, SD in 1967. It is not intended for GIS use.

Tags: aerial-photograph, general-biology-communities-and-ecosystems-wetland, general-management-natural-resources-management-water-management
Organization: Department of the Interior
[Lake Andes Wetland Management District: Aerial Photograph of Petsch WPA in Moody County, SD, 1967]

This oblique aerial photograph from the Lake Andes Wetland Management District shows Petsch WPA in Moody County, SD in 1967. It is not intended for GIS use.

Tags: aerial-photograph, general-biology-communities-and-ecosystems-wetland, general-management-natural-resources-management-water-management
Organization: Department of the Interior
USFWS Adult White Sturgeon Monitoring, San Joaquin River

Overview
The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for adult White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. The primary purpose for this sampling was to capture White Sturgeon and implant acoustic telemetry tags for a tracking project. Therefore, the data are useful for determining when and where White Sturgeon were captured, but they should not be used to determine actual distribution or abundance.

SJR_Adult_WST_Set contains data from a sampling program using various methods to catch adult White Sturgeon in the San Joaquin River. Sets were made at targeted locations primarily from March-May in 2012-2018 (other dates were occasionally sampled).

SJR_Adult_WST_Catch contains data for individual fish caught via gillnets, trammel nets, setlines, or angling in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, tag, and surgery information are provided.

SJR_Fish_Taxonomy contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

Tags: abundance, acipenser-transmontanus, anadromous, aquatic-ecosystems, cvpia, distribution, ecology, fish, fishes, freshwater, general-biology-at-risk-biota-te-species, general-biology-communities-and-ecosystems-riverine, general-biology-species-fishes, general-management-natural-resources-management-fisheries-management, monitoring, rivers, san-joaquin-river, sturgeon, united-states-fish-and-wildlife-service, usfws, white-sturgeon
Organization: Department of the Interior
Friant Kern Canal At Woollomes Ave Parathion ug/L Time Series Data

Measurements of Parathion collected at Friant Kern Canal At Woollomes Ave. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
USFWS White Sturgeon Egg Monitoring, San Joaquin River, 2011-2018

Overview

The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains two datasets for White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. The objective of this sampling to was determine if White Sturgeon were spawning in the San Joaquin River and to explore where and when spawning occurred, within areas where adult White Sturgeon were known to congregate during the suspected spawning season.

SJR_Egg_WST_Set Data 
This dataset contains data on egg mat sets used to document White Sturgeon spawning in the San Joaquin River. Sets were made at non-random locations from February to May in 2011-2018. In 2017, additional “blitz” sets were used in areas where eggs were detected. Details about set location, timing, and environmental conditions are included, along with the total number eggs of White Sturgeon and other non-sturgeon eggs.

SJR_Egg_WST_Catch Data 
This dataset contains data specific to eggs found in egg mat nets in the San Joaquin River. Across all years, the diameter of eggs (or groups of eggs) were recorded. In 2011 and 2012, efforts were made to describe the developmental stage of White Sturgeon eggs and estimates of spawning timing were sometimes calculated.

Tags: acipenser-transmontanus, anadromous, aquatic-ecosystems, cvpia, distribution, ecology, fishes, freshwater, general-biology-at-risk-biota-te-species, general-biology-communities-and-ecosystems-riverine, general-biology-species-fishes, general-management-natural-resources-management-fisheries-management, monitoring, rivers, san-joaquin-river, united-states-fish-and-wildlife-service, usfws, white-sturgeon
Organization: Department of the Interior
Data for Moose Population Survey on Western Yukon Flats NWR - Fall, October/November 2000

The population estimate for the western Yukon Flats in Game Management Unit (GMU) 25D (2,269 square miles) was 670 moose with a certainty of+/- 24% at the 90% confidence level. The density estimate was .30 moose per square mile. Estimated bull:cow, yearling bull:cow, and calf: cow ratios for the survey area were 72:100, 10:100, and 21:100, respectively. Estimated proportions of bulls, cows, and calves were .3 7, .52, and .11, respectively. Search times averaged 5.5 minutes per square mile.

Tags: aerial-survey, alaskan-moose, alces-alces, alces-alces-gigas, ff07rykf00-022, general-biology-species-mammals, general-management-monitoring, general-management-natural-resources-management-wildlife-management, gspe, interior-alaska, moose, population-trend, subsistence
Organization: Department of the Interior
Data for Moose Population Survey on Western Yukon Flats NWR - Spring, March 2004

The population estimate for the western Yukon Flats in Game Management Unit (GMU) 25D (2,269 square miles) was 632 moose (Alces alces) with a certainty of +1- 20% (758/506) at the 90% confidence level. Estimated population density in the high and low density areas was 0.57 and 0.19 moose per square mile, respectively, with an average density estimate of 0.28 moose per square mile. Calves comprised 15% of the estimated total population. Search times averaged 6.2 minutes per square mile.

Tags: aerial-survey, alaskan-moose, alces-alces, alces-alces-gigas, ff07rykf00-022, general-biology-species-mammals, general-management-monitoring, general-management-natural-resources-management-wildlife-management, gspe, interior-alaska, moose, population-trend, subsistence
Organization: Department of the Interior
Data for Moose Population Survey on Western Yukon Flats NWR - Fall, November 2001

The population estimate for the western Yukon Flats in Game Management Unit (GMU) 25D (2,269 square miles) was 668 moose with a certainty of +/- 24% at the 90% confidence interval. The density estimate was 0.29 moose per square mile. Estimated bull:cow, yearling bull:cow, and calf:cow ratios for the survey area were 52:100, 9:100, and 27:100, respectively. Estimated proportions of bulls, cows, and calves were 29%, 56%, and 15%, respectively. Search times averaged 6.1 minutes per square mile.

Tags: aerial-survey, alaskan-moose, alces-alces, alces-alces-gigas, ff07rykf00-022, general-biology-species-mammals, general-management-monitoring, general-management-natural-resources-management-wildlife-management, gspe, interior-alaska, moose, population-trend, subsistence
Organization: Department of the Interior