cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1571983
title: Land Cover in Alaska, 2010-2011

description: This dataset is a subset of the North American Land Change Monitoring System (NALCMS) Land Cover 30-meter dataset. The original dataset provides land cover information for 2010 (Mexico to Canada) and 2011 (United States) and is a collaboration between the USGS in the United States, the CCRS in Canada, and CONABIO, INEGI, and CONAFOR in Mexico. The dataset archived here clips NALCMS land cover to the state of Alaska and adjacent regions for the State of Alaska Salmon and People (SASAP) project. Several steps were taken to preprocess this data: Alaska boundaries were manually selected and clipped to the nearest pixel to avoid resampling and degrading raster data, and this clipped data was reprojected in the Alaska Albers (EPSG 3338) projection. This dataset is a more size-efficient version of NALCMS data for use in SASAP study areas. The original NALCMS data is available here: https://catalog.data.gov/dataset/north-american-land-change-monitoring-system-nalcms-collection.
DOI: 10.5063/f1902218
title: Lakes of Alaska with subsetting by watershed and SASAP region

description: Lakes of Alaska were analyzed by watershed and region of Alaska for the State of Alaska Salmon and People (SASAP) project. 188 watersheds and thirteen regions were assessed for number of intersecting lakes, area covered by lakes, and other lakes statistics as described in "Lake_Polygons.ipynb" in this package. Lakes data is based on the River Analysis Project (RAP) dataset as outlined in "A Riverscape Analysis Tool Developed to Assist Wild Salmon Conservation Across the North Pacific Rim" by Whited, D. C., J. S. Kimball, J. A. Lucotch, N. K. Maumenee, H. Wu, S. D. Chilcote, and J. A. Stanford (2012). Lakes polygons in the RAP dataset were provided directly by the authors and are based on 1990s-era Landsat 4 and 5 satellite data, with methodology outlined in the publication above. Regions are determined by the SASAP project and watersheds are based on HUC8 definitions from the International Joint Commission and sub-sub-drainages from the Canadian National Hydro Network.
DOI: 10.5063/f1wq0211
title: Lithology per SASAP region and Hydrolic Unit (HUC8) boundaries for Alaskan watersheds

description: This dataset was created to identify the dominant rock type of each SASAP region and each HUC8 watershed of Alaska. The Global Lithology Map (GliM) from the University of Hamburg (Hartmann, Jörg; Moosdorf, Nils (2012): Global Lithological Map Database v1.0 (gridded to 0.5° spatial resolution). PANGAEA, https://doi.org/10.1594/PANGAEA.788537, License: Creative Commons Attribution 3.0 Unported) was combined with the "sasap_regions.zip" shapefile (located here: https://knb.ecoinformatics.org/#view/urn:uuid:2c1c26fc-bfb9-4b6a-8d4a-0be8e61c4deb) to create "Lithology_shp_regions.zip", a shapefile that contains measurements of the area covered by certain lithologies in each SASAP region. It was also combined with the "sasap_watersheds_gapfix.zip" shapefile (located here: https://knb.ecoinformatics.org/#view/urn:uuid:2b5ab57e-38ec-4bc9-8290-f080ec0befb4) to create "Lithology_shp_watersheds.zip", a shapefile that contains measurements of the area covered by certain lithologies in each Alaskan watershed. CSV versions of the resulting shapefiles are also archived. The included python script, which was used to merge the data, outlines the process in more detail.
DOI: 10.5281/zenodo.2531867
title: GNMT inference dataset

description: The dataset is generated for inference only from https://github.com/mlperf/training/blob/master/rnn_translator/download_dataset.sh
DOI: 10.5281/zenodo.2531868
title: GNMT inference dataset

description: The dataset is generated for inference only from https://github.com/mlperf/training/blob/master/rnn_translator/download_dataset.sh
DOI: 10.5063/f1474838
title: North Pacific salmon abundance, 1925-2015

description: Abundance estimates of wild and hatchery Pacific salmon Oncorhynchus spp. are important for evaluation of stock status and density-dependent interactions at sea. This data package includes total abundances of pink, chum, and sockeye salmon, reconstructed from catch and spawning abundance data for both Asia and North America. These data are in two main categories of salmon abundance estimates: (1) return (catch plus escapement) estimates of natural-origin and enhanced-origin salmon (numerical and biomass) by species and region, and (2) Total biomass estimates of mature and younger salmon by species and region (natural-origin and hatchery-origin combined). Most of the tables cover the period from 1952-2015. Longterm tables begin at 1925. The .csv files are plain text versions of the tables found in the original excel file. The excel file also contains additional information on how the datasets can be used. These data are described further in: Ruggerone, G.T., Peterman, R.M., Dorner, B., Myers, K.W. (2010). Magnitude and trends in abundance of hatchery and wild pink salmon, chum salmon, and sockeye salmon in the North Pacific Ocean. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 2:306–328 (available at http://www.bioone.org/doi/full/10.1577/C09-054.1). They are also included as Supporting Information in Ruggerone, G.T. & Irvine, J.R. (2018). Numbers and Biomass of Natural- and Hatchery-Origin Pink Salmon, Chum Salmon, and Sockeye Salmon in the North Pacific Ocean, 1925–2015. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 10:152–168 (available at https://onlinelibrary.wiley.com/doi/full/10.1002/mcf2.10023). The dataset here is the same version as in the SI of Ruggerone & Irvine 2018, in the form of extracted .csv's.
DOI: 10.5063/f18050v1
title: North Pacific Fisheries Management Council and advisory panel members, 1976-2018, Alaska

description: The following are tables listing all of the people who served on the North Pacific Fishery Management Council and Advisory Panel from Alaska from 1976-2018. The Council is composed of 15 members; 11 voting and 4 non-voting. Seven of the voting members are appointed by the Secretary of Commerce upon the recommendation of the governors of Alaska and Washington. The governors must submit three names for each vacancy occurring on the Council and may indicate a preferred choice. Each member is appointed to a three-year term and may be reappointed but may not exceed three consecutive terms. The four non-voting members are the Executive Director of the Pacific States Marine Fisheries Commission, the Area Director for the U.S. Fish and Wildlife Service, the Commander of the 17th Coast Guard District, and a representative from the U.S. State Department. From the voting membership, the Council elects a Chairman and Vice-Chairman to serve one-year terms. The Advisory Panel (AP) members represent major segments of the fishing industry; catching and processing, subsistence and commercial fishermen, observers, consumers, environmental/conservation, and sport fishermen. The AP currently consists of 22 members, usually serving three-year staggered terms (January 1 through December 31). These members may be reappointed or replaced by the Council annually at their December Council meeting. The original source of these data is the North Pacific Fishery Management Council. This data was modified by reformatting the columns slightly, including the addition of columns to specify whether the member is male or female, what region their community is located in, and whether that community is rural or urban. The rural/urban distinction is based on the definition used by the Federal Subsistence Board to determine the subsistence priority.
DOI: 10.5063/f1cr5rmh
title: Native place names and language boundaries, Alaska

description: The native place names and language boundaries are a revised version of those established in the "Native Peoples and Languages of Alaska" map created by Michael E. Krauss (1974, revised 1982). The revised version was digitized and stored in GIS by Krauss et al. (2011). This data package includes the GIS data as a zipped ESRI file geodatabase (ipla.gdb.zip), which includes language boundaries and place names. This package also includes a script (NativePlaceNames_Regions.Rmd) detailing how to assign SASAP region names to the native places as well as the output .csv file (NativePlaceNames.csv). Citations: Krauss, Michael. 1974 Native Peoples and Languages of Alaska. (Revised 1982). Fairbanks: Alaska Native Language Center. Krauss, Michael, Gary Holton, Jim Kerr, and Colin T. West. 2011. Indigenous Peoples and Languages of Alaska. Fairbanks and Anchorage: Alaska Native Language Center and UAA Institute of Social and Economic Research.
DOI: 10.5063/f1hh6h9s
title: National Park Service, Southeast Alaska Network, In-situ stream temperature monitoring of the Indian River, Salmon River, and Taiya River, 2010-2016

description: This dataset includes data on hourly water temperature (C) for the Indian River (Sitka), Salmon River (Glacier Bay National Park and Preserve), and Taiya River (Klondike Gold Rush National Historical Park). These data were collected each year from 2010 to 2016, ranging from early spring/summer through the end of fall. Stream temperature can be an indicator of aquatic and terrestrial ecosystem health and one of twelve priority Vital Signs in the National Park Service’s Southeast Alaska Network (SEAN), which includes Glacier Bay National Park and Preserve, Klondike Gold Rush National Historical Park, and Sitka National Historical Park. This dataset in particular is used to help inform management relevant topics such as: monitoring of the frequency of hypoxic events in the Indian River, describing the effects of a changing climate on the physical and chemical properties of park waters, and assessing whether state and federal water quality targets are being met.
DOI: 10.5063/f1n58jn7
title: Mines in Alaska with subsetting by watershed and SASAP region, 2010 to 2016

description: Mining footprints in Alaska were analyzed by watershed and region of Alaska for years 2010 to 2016 for the State of Alaska Salmon and People (SASAP) project. 188 watersheds and thirteen regions were assessed for number of intersecting mining footprints, area covered by mining footprints, density of mines, and other mine data as described in "Mines.ipynb" in this package. Mining footprint data is based on an original dataset "Mining Footprints in Alaska" by Marcus Geist, Alaska Center for Conservation Science (University of Anchorage, Alaska) and provided directly by the author. Mining Footprints indicate “overall disturbance related to the mine which included tailings, roads, and buildings” based on best available aerial imagery, primarily from 2010 to 2016. Regions are determined by the SASAP project and watersheds are based on HUC8 definitions from the International Joint Commission and sub-sub-drainages from the Canadian National Hydro Network.
DOI: 10.5063/f1rx99b6
title: Mean daily streamflow discharge at sites in Alaska, U.S. Geological Survey (USGS)

description: These files include mean daily streamflow discharge (cubic feet per second) at streamflow gauging stations across Alaska. Data were collected by U.S. Geological Survey (USGS) from the National Water Information Service (NWIS). Information is provided for 80 stations throughout Alaska, all which have associated streamflow discharge data. Information on the station site, data description, and general metadata are included in the metadata attribute set. Each streamflow gauging station is identified by an 8-digit number and each station has a separate data file identified by the site number (site_no). Additional information on gauging stations including site name, lat/long, are included in the site_info.csv file. All streamflow information was collected from USGS streamflow gauging systems. These systems record the elevation of the water in the stream and then convert the water elevation (i.e. stage (ft)) to streamflow (i.e. discharge (ft^3)), using an established curve relationship that relates stage and discharge. The stream river stage is measured to the closest 0.01 inches, by using floats inside a stilling well, by the use of pressure transducers that measure how much pressure is required to a push a gas bubble through a tube (related to the depth of water), or with radar. Most USGS streamgauges record the stage level every 15 minutes, and that data are stored in an electronic data recorder, which is then transfered to USGS. The data was downloaded from USGS via the USGS R package ‘dataRetrieval’. Included in this data package is the R script, ‘USGS_Streamflow_Data_Download.R’, that was used to download this data. This package can be used to download similar data from the USGS data repository.
DOI: 10.5281/zenodo.2531904
title: Brewer 009 _ 14 Jul 2010

description: Brewer no, 009 data taken at Mauna Loa on 14 July 2010 AM
DOI: 10.5281/zenodo.2531905
title: Brewer 009 _ 14 Jul 2010

description: Brewer no, 009 data taken at Mauna Loa on 14 July 2010 AM
DOI: 10.5281/zenodo.2531910
title: Brewer 009_25 Oct 2010

description: Brewer_009_25Oct2010_AM data taken at Mauna Loa
DOI: 10.5281/zenodo.2531911
title: Brewer 009_25 Oct 2010

description: Brewer_009_25Oct2010_AM data taken at Mauna Loa
DOI: 10.17632/8wjpjrdcx4.1
title: Data for: Inhibitory activity of phenolic acids against Listeria monocytogenes: deciphering the mechanisms of action using three different models

description: Tables of entire datasets obtained, gamma values and predicted µmax for a) p-coumaric acid with model 3, b) ferulic acid with model 3, c) chlorogenic acid with model 2, d) gallic acid with model 2, e) vanillic acid with model 2, f) vanillic acid with model 3, g) p-hydroxybenzoic acid with model 2, h) p-hydroxybenzoic acid with model 3, i) protocatechuic acid with model 2, j) protocatechuic acid with model 3, k) caffeic acid with model 2, l) caffeic acid with model 3
DOI: 10.17632/tjy6725n3c.1
title: Data for: Origin of the Mo-bearing Xiaoshuijing Syenogranite in the Tengchong Terrane, SW China

description: Here, we present new zircon U-Pb ages and molybdenite Re-Os ages, whole-rock geochemical data, and zircon Hf isotopic data for the Xiaoshuijing Syenogranite hosting disseminated Mo mineralisation.
DOI: 10.5063/f10g3hcj
title: Percent landcover per SASAP region and Hydrolic Unit (HUC8) boundary for Alaskan watersheds

description: This dataset was created to assess the percentages of various landcovers in each SASAP region and each HUC8 watershed of Alaska (forest/shrub/barren/wetland). The 2010 National Land Cover Dataset ( "2005 North American Land Cover at 250 m spatial resolution. Produced by Natural Resources Canada/Canadian Center for Remote Sensing (NRCan/CCRS), United States Geological Survey (USGS); Insituto Nacional de Estadística y Geografía (INEGI), Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO) and Comisión Nacional Forestal (CONAFOR).”) was combined with the "sasap_regions.zip" shapefile (located here: https://knb.ecoinformatics.org/#view/urn:uuid:2c1c26fc-bfb9-4b6a-8d4a-0be8e61c4deb) to create the shapefile, "regions_slope_shp.zip" and with the "sasap_watersheds_gapfix.zip" shapefile (located here: https://knb.ecoinformatics.org/#view/urn:uuid:2b5ab57e-38ec-4bc9-8290-f080ec0befb4) to create the shapefile "watersheds_slope_shp.zip". CSV versions of the resulting shapefiles are also archived. The included python script, which was used to merge the data, outlines the process in more detail.
DOI: 10.5063/f1gh9g6v
title: Salmon age, sex, and length data from Arctic-Yukon-Kuskokwim Region of Alaska, 1960-2017

description: Age, sex and length data provide population dynamics information that can indicate how populations trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore particularly important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in the Arctic-Yukon-Kuskokwim region of Alaska. It includes data on five salmon species: chinook, chum, coho, pink and sockeye. There is some data on non-salmon species (whitefish, sheefish, longnose sucker, Dolly Varden) in the Yukon dataset. There is an additional data table for more specific information about the locations where samples were collected. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate age in years. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This data package includes the original data files, reformatting scripts that reformat the original data files into a consistent format, and the reformatted datasets.
DOI: 10.5063/f1m906w8
title: Resident vs Nonresident Workers Wages in the Alaskan Seafood and Fishing Processing Industry

description: These data were taken from Alaska's Department of Labor and Workforce Development website (http://live.laborstats.alaska.gov/seafood/), Research and Analysis Section. The csv data file is extracted from the pdfs included in the data package. The data file contains the average wages of resident and nonresident workers in the Alaskan seafood and fishing processing industry from 2001-2015. The data are organized into 8 regions, and 1 'Statewide' region encompassing all 8 regions. For the Northern region data, the large jump in workers in 2013 was due to an employer previously in a different industry being recoded into the seafood processing industry.
DOI: 10.5063/f1qz287t
title: Regional fish passage assessment, Alaska, 2000-2017

description: The Alaska Department of Fish and Game (ADFG) maintains a fish passage inventory database (http://www.adfg.alaska.gov/index.cfm?adfg=fishpassage.database), containing data on stream crossings for fish passage collected as part of the ADFG Fish Passage Assessment Program. This program is charged with assessing the impact of state-owned road crossings of streams on fish passage. Maintaining unobstructed access to stream habitat for fish that migrate up and down these streams (such as salmon) is a critical part of maintaining these fish populations. When designed properly, culverts and bridges at stream crossings do not present a problem to fish passage, however culverts that are too small, too steep, or placed improperly can impede both upstream and downstream movement of fish. The ADFG Fish Passage Assessment Program conducts rapid (Level 1) assessments of culverts to determine their adequacy for fish passage. Streams are classified into three categories: likely to be adequate for fish passage, may be inadequate for fish passage, and likely inadequate for fish passage. The model fish chosen to determine adequacy for passage is a 55mm (juvenile) coho salmon. This fish is chosen because coho salmon are believed to be the weakest swimmers amongst juvenile salmonids, thus any culvert passable by the model fish should be passable for all other fish. For more information on Level 1 assessments, please see Eisenman, M., and G. O’Doherty. 2014. Culvert inventory and assessment manual for fish passage in the State of Alaska: A guide to the procedures and techniques used to inventory and assess stream crossings 2009-2014. Alaska Department of Fish and Game, Special Publication No. 14-08, Anchorage. http://www.adfg.alaska.gov/FedAidPDFs/SP14-08.pdf. In this dataset, the 2,500 culvert assessments in the original ADFG fish passage inventory database (http://www.adfg.alaska.gov/index.cfm?adfg=fishpassage.database) were classified according to what region the culvert is located in. The total number of culverts by category and region were summarized. The regions used are the regions of the State of Alaska's Salmon and People Project (SASAP), which notably are different than the ADFG management areas. When using this data, sampling effects must be taken into effect. The fish passage inventory database does not include all culverts in the state, just those where surveys have been completed. Additionally, this may not be an entirely accurate picture of fish passage given the fact that many areas need re-survey to update culverts that have been replaced since the initial survey. Thus some of the culvert assessment data may be out of date, as culverts are continually being replaced and improved. Finally, the model fish must be taken into account when interpreting these data. The majority of the "inadequate for fish passage" culverts are not total barriers to fish passage, however they are barriers to the model fish, which is the 55mm coho salmon.
DOI: 10.5063/f1vq30xp
title: Pink salmon age, sex, and length data from Prince William Sound, Alaska, 1997-2016

description: Age, sex and length (ASL) data provide population dynamics information that can indicate how population trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution, and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes length data on pink salmon from annual sampling of commercial salmon harvests in Prince William Sound from 1997-2016. Length was measured in millimeters, generally from mid-eye to the fork of the tail. Because pink salmon always return after 2 years at sea, the salt water age was set at 2 for all rows of the dataset to enable easier integration with ASL datasets from other species. This data package includes the original data file (PWS Pink_LenWt_Individual Salmon Data_ALLYEARS copy.xls), a script that reformats the original data file into a consistent format (ASL_formatting_PWS_pink.R), and the reformatted dataset as a .csv file (ASL_formatted_PrinceWilliamSoundpinks.csv).