uid=EDI,o=EDI,dc=edirepository,dc=org all https://orcid.org/0000-0003-3514-7996 all public read doi:10.6073/pasta/797c14e6715654eb1b7d89393afccbb9 United States Fish and Wildlife Service Geoff Steinhart USFWS Habitat Restoration Coordinator geoffrey_steinhart@fws.gov https://www.fws.gov/office/lodi-fish-and-wildlife 0000-0003-3514-7996 Zachary Jackson USFWS Project Coordinator Zachary_Jackson@fws.gov 0000-0003-3048-2541 Program Founder Laura Heironimus Washington Department of Fish and Wildlife Biologist Laura.Heironimus@dfw.wa.gov Program Founder Alin González USFWS CVPIA Data Manager alin_gonzalezbarnes@fws.gov 0000-0003-4041-0496 CVPIA Data Manager 2024-01-24 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. anadromous CVPIA San Joaquin River United States Fish and Wildlife Service USFWS white sturgeon aquatic ecosystems distribution ecology fishes freshwater monitoring rivers LTER Controlled Vocabulary This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you. https://doi.org/10.6073/pasta/797c14e6715654eb1b7d89393afccbb9 Lower San Joaquin River, California, USA. -121.30913 -121.08269 37.79128 37.49875 2013-04-01 2017-05-17 All fishes were identified to species when possible or, at a minimum, to family. Kingdom Metazoa metazoans 33208 Phylum Chordata chordates 7711 Subphylum Craniata 89593 Superclass Actinopterygii ray-finned fishes 7898 Class Actinopteri 186623 Subclass Chondrostei 32440 Order Acipenseriformes sturgeons and paddlefish 7899 Suborder Acipenseroidei 186622 Family Acipenseridae sturgeons 7900 Subfamily Acipenserinae 124129 Genus Acipenser 7901 Sampling has concluded for the larval sturgeon sampling. This package contains all the relevant data. We do not plan on updating this package in the future. notPlanned Kristie Braken-Guelke USFWS Biological Science Technician Crew Lead kristie_braken-guelke@fws.gov https://www.fws.gov/office/lodi-fish-and-wildlife Paul Cadrett USFWS Habitat Restoration Coordinator paul_cadrett@fws.gov https://www.fws.gov/office/lodi-fish-and-wildlife 0000-0002-6312-0507 Environmental Data Initiative info@edirepository.org https://edirepository.org 0330j0z60 Environmental Data Initiative Study Area The San Joaquin River originates from the central Sierra Nevada and drains parts of the Sierra Nevada and Diablo mountain ranges. It flows 531 km, first west towards the floor of the Central Valley of California, then north towards the Sacramento-San Joaquin Delta, eventually reaching the Pacific Ocean. Friant Dam (river km [rkm] 431), forms a complete barrier to upstream anadromous fish passage. Downstream of Friant Dam, the river encounters increasingly greater anthropogenic influence through water diversions and habitat alteration. Sampling for White Sturgeon (Acipenser transmontanus) occurred at various locations in the San Joaquin River, from Mossdale to Patterson, California. Field Methods Larval sturgeon were sampled by deploying appropriate sampling gear in non-random locations along the San Joaquin River between April and July. Targeted sampling locations were selected that were near areas where aggregations of sexually mature sturgeon had been found. Gear types included: 1) Benthic D-nets deployed from a boat (D_net, n = 313 sets) 2) Benthic D-nets deployed from a rotary screw trap frame (D_frame, n = 227 sets) 3) Custom double-frame nets anchored to the bottom (Double_frame, n = 120 sets) 4) Large drift nets deployed from an rotary screw trap frame (Pontoon_net, n = 48) 5) Otter trawls (Otter_trawl, n = 77) D-nets Benthic D-nets were used to sample for larvae in the San Joaquin River. These nets and deployments were similar in design to nets that have been successful in capturing larval White Sturgeon and Green Sturgeon on the Sacramento River (Kohlhorst 1976; Brown 2007; Poytress et al. 2009). The benthic D-net was 0.8-m wide by 0.6-m tall. Steel bar stock was added to the bottom of the net frame to ensure that the frame oriented properly and remained in contact with the river bottom during sampling. The net was made of 3.2-mm nylon mesh for the entire 3.0-m net length and an inner layer of 1.6-mm mesh that was sewn into the last 46-cm of the net. The length was tapered to fit a PVC sample bucket in the cod end (16.5-cm diameter, 46-cm length). Site selections for larval sampling were determined based on egg collection locations during previous years. In 2013, sampling was from a moored boat (D-net in Gear column of SJR_Larval_WST_Set.csv). The survey vessel was moored using Columbia River-style anchors and oriented into the current. The D-net was deployed by a 25-m length of 8-mm diameter Amsteel® rope attached to the top of the frame and the net was deployed and retrieved with a custom-fabricated aluminum boom and anchor winch. Designated sampling times were between 2000 and 0100 hours. These hours were selected because recent work with larval Green Sturgeon on the Sacramento River indicated that migration activity is highest during night-time hours (Poytress et al. 2009). Sets were for approximately 30 min. In 2015, 2016, and 2017 (no larval sampling occurred in 2014), D-nets were deployed from a rotary screw trap frame moored at two anchor locations (D-frame in Gear column of SJR_Larval_WST_Set.csv). One mooring was a steel cable attached to a tree on shore and the other was a Columbian River-style anchor deployed in-channel. D-nets were deployed at approximately the same time, one off each side of the screw trap frame, using a pulley system attached to a custom davit. In 2015, nets were fished approximately 12 hours per set. Debris load was an important factor in determining length of set-time, so in 2016 and 2017, nets were set for approximately 30-min intervals during higher debris loads and 60-min intervals at lower debris loads. Environmental data were collected during the setting and retrieval of the net. Prior to the first nightly net deployment GPS coordinates and turbidity were measured. During each tow, depth was measured with a stadia rod and flow was measured with a General Oceanic® Model 2030 flow meter that sampled flow at the center point of the net mouth. Double-frame Nets Custom made double-frame nets (Double_frame in Gear column of SJR_Larval_WST_Set.csv) were deployed to survey for the presence of White Sturgeon larvae from April 5 to June 10, 2016. Double-frames were modified from the triple-frame drift nets used by the Confederated Tribes of the Colville Reservation on the Upper Columbia River (Howell and McLellan 2014 ; Matt Howell, Coleville Confederated Tribes, personal communication). We constructed the frames from welded 2.5-cm square steel tubing with two 0.6 x 0.8-m openings to support two 4.0-m drift nets with 1.6-mm mesh. At the downstream end of each drift net, we connected a 22.7 l collection bucket with seven columns of 3.2-mm holes drilled along the sides to mitigate obstruction from heavy debris loads. Double-frames were anchored within the river using a bridle connected to a Columbia River-style anchor deployed 10-15 m upstream. Double-frames were deployed in the evening (1700–2000 hours) and retrieved 12–15 hours later (0700–1000). Depth (m), water temperature (°C), and GPS coordinates were recorded during deployment and retrieval. Upon retrieval, collection buckets were removed and contents were rinsed into a 20-L bucket for transport to the laboratory. At the laboratory, samples were filtered and sorted for fish eggs, larvae, and invertebrates. Captured fish and invertebrates were stored in a 95% ethanol solution for later identification. Large Drift Nets (Pontoon Nets) In 2015, a second, large drift net (Pontoon_net in Gear column of SJR_Larval_WST_Set.csv) was also deployed from the rotary screw trap frame. The large drift net consisted of a rectangular frame (2.0-m wide by 1.0-m high) attached to a net with 4.8 mm mesh, designed and constructed by Red Bluff Fish and Wildlife Office in Red Bluff, CA. The mesh net funneled into a stainless steel live-box with 3.2 mm holes. The large drift net was set and retrieved using a steel cable and a winch system. Preliminary deployment of the large drift net, conducted May 4 to May 6, occurred between 1900 and 0000 hours with net retrieval every 30 min. On May 6, catch and debris load were determined to be extremely low allowing us to adjust sampling techniques. At this time, the sampling deployments were altered to two 12-hr sets with gear retrieval at 0700 and 1900 to capture both a day and night drift. Otter Trawls Modified otter trawls (Otter_trawl in Gear column of SJR_Larval_WST_Set.csv) were used to survey for White Sturgeon larvae from July 6 to July 22, 2016. The modified trawl design is used throughout the Mississippi River Basin to sample for small-bodied fishes, including juvenile sturgeon (Herzog et al. 2009). The entire trawl body is made of 3.2-mm heavy delta style mesh (Herzog et al. 2005), while cod ends have a 17.5-mm inner mesh allowing smaller fish to separate from larger fish and debris to reduce sampling mortality. Trawl tows occurred during evening hours (2000–0000 hours). The net was set off the bow of the boat with 11–15 m of rope attached to the boat, depending on depth, and towed in reverse downstream between for 1–6 minutes. Trawl locations generally consisted of long stretches free of snags, leading into or out of deep pools. Start time was recorded when ropes were pulled tight and sampled up to five minutes or until conditions (e.g., snags, boaters) forced sampling to cease. Environmental Data Sample effort and environmental data were collected in conjunction with larval sampling. Sample effort data consisted of the starting and ending dates, times, and latitude and longitude coordinates for individual sets. GPS and sonar depth readings were obtained using a Lowrance side-scanning sonar unit (Lowrance HDS-10 Gen2) and supplemented with GPS coordinates from a handheld unit (Garmin Etrex 10). Environmental data collected typically included surface measurements of starting and ending water temperature (°C; YSI Model 55 or Lowrance Structure Scan HDS 10), dissolved oxygen (mg/l; YSI Model 55), and turbidity (NTU; Model 2100P Hach turbidimeter). Fish Processing Larval fish were stored in 95% ethanol and transported back to the laboratory for identification. Preserved fish were processed using a dissecting microscope (Olympus® Model SZX2-ILLK). We measured most identifiable and intact fish to FL in mm and identified to species, except small centrarchids and gobiids, which were identified to family. Data Management Data were recorded on paper datasheets in the field and later entered into Excel spreadsheets. After entry, electronic data were reviewed and compared with paper datasheets for accuracy. In addition, during the preparation of the included data files, environmental variable values were checked for odd or impossible values (e.g., dissolved oxygen values exceeding 20 mg/l). All coordinates were mapped to identify location errors that did not fall within the river channel. Data points that were identified as errors were again compared to the original paper datasheets and corrected or, if the correction was not apparent, the erroneous data were removed, but the rest of the data for that set (or fish) was left in place. References Brown, K. 2007. Evidence of spawning by Green Sturgeon, Acipenser medirostris, in the upper Sacramento River, California. Environmental Biology of Fishes 79:297–303. D. P. Herzog, V. A. Barko, J. S. Scheibe, R. A. Hrabik, and D. E. Ostendorf. 2005. Efficacy of a benthic trawl for sampling small-bodied fishes in large river systems. North American Journal of Fisheries Management 25:594-603. Herzong, D. P., D. E. Ostendorf, R. A. Hrabik, and V. A. Barko. 2009. The mini-Missouri trawl: A useful methodology for sampling small-bodied fishes in small and large river systems. Journal of Freshwater Ecology 24:103-108. Howell, M. D., and J. G. McLellan. 2014. Lake Roosevelt White Sturgeon recovery project, annual progress report, April 2011–March 2012. Washington Department of Fish and Wildlife, Spokane. Kohlhorst, D. W. 1976. Sturgeon spawning in the Sacramento River in 1973, as determined by distribution of larvae. California Department of Fish and Game 62:32–40. Poytress, W. R., J. J. Gruber, D. A. Trachtenbarg, and J. P. Van Eenennaam. 2009. 2008 upper Sacramento River Green Sturgeon spawning habitat and larval migration surveys. Annual Report of U.S. Fish and Wildlife Service to US Bureau of Reclamation, Red Bluff, California. United States Fish and Wildlife Service Creator 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. U.S. Bureau of Reclamation United States Fish and Wildlife Service Creator 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. U.S. Bureau of Reclamation United States Fish and Wildlife Service Creator 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 Data This dataset 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 Data This dataset 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 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. U.S. Bureau of Reclamation United States Fish and Wildlife Service Creator 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 juvenile White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. After two years of this experimental sampling program, it was discontinued due to low catches of White Sturgeon. SJR_Juvenile_WST_Set Data This dataset contains data on an experimental sampling program using trammel nets and setlines to catch juvenile White Sturgeon in the San Joaquin River. Sets were made at targeted locations from November-January in 2016 and 2017. One White Sturgeon (1000 mm fork length) was captured in a trammel net in 2016. SJR_Juvenile_WST_Catch Data This dataset contains data for individual fish caught in trammel nets or setlines in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, and tag information are provided. 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. U.S. Bureau of Reclamation SJR_Larval_WST_Set This dataset contains data on an experimental sampling program using boat-mounted drift nets (D-frame nets and Double 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 14 were captured in 2017. SJR_Larval_WST_Set.csv 135621 0b0ba17163599ddb24cc10d3c96b4e16 1 \r\n column , " https://pasta.lternet.edu/package/data/eml/edi/1560/1/ac5c628697d08f9591b23b633ba15d4d SetID SetID Assigned set identification number to link set data to catch data. SetIDs were generated using the date of the set (YYYY_MM_DD), gear type (D_frame, D_net, Double_frame, Pontoon_net, or Otter_trawl), and a two digit number, assigned consecutively from 01, for each date and gear type (information about gear types is in the Methods). string text StationCode StationCode Colloquial name assigned to set location string text Gear Gear Gear type: D_frame, D_net, Double_frame, Pontoon_net, or Otter_trawl (information about gear types is in the Methods). string text DateStart DateStart Date (YYYY-MM-DD) the gear was set. dateTime YYYY-MM-DD DateEnd DateEnd Date (YYYY-MM-DD) the gear was retrieved. dateTime YYYY-MM-DD TimeStart TimeStart Time (hh:mm, 24 hr) the gear was set. dateTime hh:mm TimeEnd TimeEnd Time (hh:mm, 24 hr) the gear was retrieved. dateTime hh:mm LatitudeStart LatitudeStart Latitude (DD.DDDDD°) at the location where the gear was set. float degree real NA Data not collected LongitudeStart LongitudeStart Longitude (DDD.DDDDD°) at the location where the gear was set. float degree real NA Data not collected SampleVolume SampleVolume Estimated volume (cubic meters) of water passing through nets. float meterCubed real NA Data not collected DepthStart DepthStart Water depth (m) where the gear was set. float meter real NA Data not collected DepthEnd DepthEnd Water depth (m) where the gear was retrieved. float meter real NA Data not collected TemperatureStart TemperatureStart Surface water temperature (°C) when gear was set. float celsius real NA Data not collected TemperatureEnd TemperatureEnd Surface water temperature (°C) when gear was retrieved. float celsius real NA Data not collected TurbidityStart TurbidityStart Surface turbidity (NTU) when gear was set. float nephelometricTurbidityUnit real NA Data not collected TurbidityEnd TurbidityEnd Surface turbidity (NTU) when the gear was retrieved. float nephelometricTurbidityUnit real NA Data not collected DOStart DOStart Dissolved oxygen (mg/l) when gear was set. float milligramPerLiter real NA Data not collected ConductivityStart ConductivityStart Conductivity when gear was set. float microSiemensPerCentimeter real NA Data not collected DebrisLoad DebrisLoad Qualitative amount of debris collected in the sampling gear. Categories, from low to high, are: None, VeryLight, Light, Moderate, Heavy string None No debris in the net and no impact on catch VeryLight Very light debris in the net and no impact on catch Light Light debris in the net, unlikely to impact catch Moderate Medium debris in net, may have impacted catch Heavy Heavy debris in net, probably impacted catch DebrisType DebrisType Type(s) of debris collected in the sampling gear. Categories include: Leaves, Wood, Rocks, AquaticVegetation, or combinations of these types. string AquaticVegetation Debris mostly aquatic vegetation AquaticVegetation/Leaves Debris mostly aquatic vegetation and leaves AquaticVegetation/Leaves/Wood Debris mostly aquatic vegetation, leaves, and wood AquaticVegetation/Rocks Debris mostly aquatic vegetation and rocks AquaticVegetation/Wood Debris mostly aquatic vegetation and wood Leaves/Rocks Debris mostly leaves and rocks Leaves/Wood Debris mostly leaves and wood Leaves/Wood/Rocks Debris mostly leaves, wood, and rocks Rocks Debris mostly rocks Wood Debris mostly wood NumberWST NumberWST Number of White Sturgeon caught. float dimensionless real NumberOther NumberOther Number of non-White Sturgeon caught. float dimensionless integer Comments Comments Comments about the site, set, or retrieval. string text no 785 SJR_Larval_WST_Catch This dataset contains data for individual fish caught in the San Joaquin River. Species and fork length were recorded for most individuals. SJR_Larval_WST_Catch.csv 125220 c1e08cf9213fe085519366eca7211d4a 1 \r\n column , " https://pasta.lternet.edu/package/data/eml/edi/1560/1/4f24e7c134833977cdf6728214160a2d SetID SetID Assigned set identification number to link set data to catch data. SetIDs were generated using the date of the set (YYYY_MM_DD), gear type (D_frame, D_net, Double_frame, Pontoon_net, or Otter_trawl), and a two digit number, assigned consecutively from 01, for each date and gear type (information about gear types is in the Methods). string text Lifestage Lifestage Developmental stage, either egg (E, fertilized or unfertilized) or fish (F, includes larvae, juveniles, and adults). string E Captured individual(s) was an egg (i.e., unhatched embryo) that may or may not have been fertilized. F Captured individual(s) was a fish (i.e., hatched embryo or older) OrganismCode OrganismCode Species code used in the SJR_Fish_Taxonomy data file. string text ForkLength ForkLength Fork length of fish measured to the nearest mm. float millimeter real NA Data not collected Count Count Count of fish (0 for no catch, 1 for fish individually measured, and >1 when fish were counted but not measured) float dimensionless integer Comments Comments Comments about the individual fish string text no 2530 SJR_Fish_Taxonomy 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. SJR_Fish_Taxonomy.csv 4321 6e92f9ad60a2962cc58cbc4676110a4f 1 \r\n column , " https://pasta.lternet.edu/package/data/eml/edi/1560/1/d797aa80216cc54a2832f9d4dddb63e7 OrganismCode OrganismCode One to six letter species code used in the catch data files string text IEPFishCode IEPFishCode Equivalent species code approved by the Interagency Ecological Program string text CommonName CommonName Species common name string text Phylum Phylum Phylum for the fish species string text Class Class Class for the fish species string text Order Order Order for the fish species string text Family Family Family for the fish species string text Genus Genus Genus for the fish species string text Species Species Species for the fish species string text no 46 NTU- ratio of the amount of light transmitted through a water sample with the amount scattered at an angle of 90 degrees to one side Conductivity unit (or specific conductance at 25 degrees Celsius) Number of individual fish