cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/rknggz
title: Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v2

description: The Global Aridity Index (Global-Aridity_ET0) and Global Reference Evapotranspiration (Global-ET0) datasets provide high-resolution (30 arc-seconds) global raster climate data for the 1970-2000 period, related to evapotranspiration processes and rainfall deficit for potential vegetative growth, based upon the implementation of a Penman Montieth Reference Evapotranspiration (ET0) equation. These geospatial datasets have been produced by Antonio Trabucco and Robert Zomer, with the support of the CGIAR-CSI (funding from IFPRI Project No. 203008.000.002 515-01-01). These datasets have been downloaded and are available from the CGIAR-CSI Community Website at https://cgiarcsi.community. The Consortium for Spatial Information (CGIAR-CSI) is an initiative of CGIAR, linking the international science, research, and development communities, with CGIAR scientists, national and international partners, and others working to apply and advance geospatial science for sustainable development, conservation, and poverty alleviation in developing countries. The Global-Aridity_ET0 and Global-ET0 datasets are provided for non-commercial use in standard GeoTiff format, at 30 arc seconds or ~ 1km at the equator, to support studies contributing to sustainable development, biodiversity and environmental conservation, poverty alleviation, and adaption to climate change globally, and in particular in developing countries. Comments, feedback, suggestions or bug reports regarding downloading of the Global-ET0 and Global-Aridity datasets should be sent to csi@cgiar.org. Technical questions regarding the Global-ET0 and Global-Aridity_ET0 datasets can be directed to Antonio Trabucco: antoniotrabucco@cmcc.it.
DOI: 10.17632/88vs7j5htr.1
title: Data for: High-temperature infrared absorption cross-sections to facilitate the study of hydrocarbon pyrolysis

description: The database of high-temperature absorption cross-section to accompany.
DOI: 10.5281/zenodo.2531950
title: Brewer 119 _ 25 Oct 2010 _ AM

description: Brewer 119 _ 25 Oct 2010 _ AM taken at Mauna Loa
DOI: 10.5063/f13776zg
title: Salmon escapement data from Arcic-Yukon-Kusokwim Region, 1965-2015

description: The salmon life cycle begins in freshwater streams when adult salmon spawn, leaving fertilized eggs which hatch in the stream. Juvenile salmon migrate downstream to the ocean, where they spend several years until they reach reproductive age. Upon reaching sexual maturity, they return to their natal streams to spawn. The number of mature salmon migrating from the marine environment to freshwater streams is defined as escapement. Escapement data are the enumeration of these migrating fish as they pass upstream, and are a widely used index of spawning salmon abundance. These data are important for fisheries management, since most salmon harvest occurs in freshwater rivers during this migration. Escapement data are collected in a variety of ways. Stationary projects utilize observers stationed along freshwater corridors who count salmon as they pass upriver through weirs or past elevated towers. Sonar equipment placed in the river can also give a stationary escapement count. These counts usually represent a sample, and are expanded to represent a 24h period. Escapement data can also be collected using aerial surveys, where observers in an aircraft provide an index to estimate escapement. In general, escapement counts do not represent total abundance, but instead an index of abundance. Surveys are usually timed to coincide with peak spawning activity, generally in the summer, but in the case of Coho salmon in the fall as well. These data are the result of a multi-year effort by the Alaska Department of Fish and Game, Division of Commercial Fisheries, Arctic-Yukon-Kusokwim (AYK) Region to create a salmon database management system that centralizes AYK salmon data in a standard format, making the data more accessible to management agencies and the general public. The escapement data portion of this database includes data from more than 70 projects conducted by the Alaska Department of Fish and Game, federal agencies, non-governmental organizations, and the Canadian Department of Fisheries and Oceans. Data span the time period of 1965 to present, and were collected on 58 unique rivers in four management areas. These areas are Kotzebue, Kuskokwim, Norton Sound-Port Clarence, Yukon and Yukon-Canada. The five Alaskan salmon species (Chinook, Chum, Coho, Pink, Sockeye) are all represented in this dataset, in addition to two salmonids (Dolly Varden, Arctic Char).
DOI: 10.5063/f1610xkf
title: Sockeye Salmon Brood Tables, Meziadin, British Columbia, 1972-2017

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. This dataset consists of sockeye brood tables from Meziadin in the Nass River watershed of northern British Columbia. Archived here are the original "Meziadin (Nass) Sockeye Brood Table_1972-2017_7Mar18.xlsx" from which the data were extracted, an R script "Meziadin_formatting.R" that slightly reformats the dataset into a format consistent with other brood tables collected as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/), and the reformatted table as "Meziadin_sockeye.csv". Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3).
DOI: 10.5063/f1707zpt
title: Salmon brood tables, Westward Region, Alaska

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. These data can come in a number of different formats, but generally follow the pattern of: rows for each brood year, and columns for the estimated number of fish in each age class. This dataset consists of reformated brood tables from the Westward Region of Alaska. These datasets were gathered as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/). Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3). For chinook salmon, only total age (age X) is given.
DOI: 10.5063/f19s1p9v
title: Sockeye salmon brood tables, Fraser River, Canada, 1948-2015

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class produced from a given brood year or group of spawners. These data are useful for salmon biologists to understand the productivity and carrying capacity of salmon populations, changes in salmon survival over time, and life histories. These data can come in a number of different formats, but generally follow the pattern of: rows for each brood year, and columns for the estimated number of fish that returned in each age class. This dataset consists of reformatted sockeye salmon brood tables for multiple Sockeye salmon stocks from the Fraser River watershed in Canada. Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3). Estimates of spawners in this brood table are "effective females" which are the product of the number of female spawners and spawner success (the proportion of eggs successfully spawned), based on spawning ground carcass surveys.
DOI: 10.5063/f1br8qfp
title: Salmon age, sex, and length data from the Arctic, Yukon, and Kuskokwim regions of Alaska, 1960-2016

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 Yukon and Kuskokwim Management Areas. It includes data collected from 1960-2016 on five salmon species: Chinook, Chum, Coho, Pink and Sockeye. Age estimates were made by examining scales or bony structures (eg. 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 (ie. rings) was counted to estimate age in years. Age is recorded in European Notation, which is a method of recording both fresh and saltwater annuli. For example, for a fish that spent one year in freshwater and 3 years in saltwater, its age is recorded as 1.3. The total fish age is the sum of the first and second numbers, plus one to account for the time between deposition and emergence. Therefore the fish in this example is 5 years old. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organs. Length was measured in millimeters, generally from mid-eye to the fork of the tail.
DOI: 10.5063/f1fj2f21
title: Sockeye salmon brood tables, Bristol Bay, Alaska, 1955-2016

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. Archived here are original brood tables (in excel format) from the main river systems Bristol Bay, Alaska, along with an R script that reformats this excel file into individual csv files. The reformatted csv files are also archived.
DOI: 10.5063/f1k935ts
title: Sockeye and chinook salmon brood tables, Goodnews River, Alaska, 1981-2015.

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. This dataset consists of an original brood table for sockeye salmon from the Goodnews River (Middle Fork) in excel format, an R script that slightly reformats this dataset into a format consistent with other brood tables collected as part of the State of Alaskan Salmon and People project, and the reformatted file as a .csv file. Also included is a Alaska Department of Fish and Game report (pdf format), from which the chinook brood table (Goodnews_chinook.csv) was extracted. For the sockeye brood table, age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at se (3 winters at sea = age-X.3). The chinook brood table contains ages given in total age (freshwater age + ocean age + 1).
DOI: 10.5063/f1q23xhp
title: Slope per SASAP region and Hydrolic Unit (HUC8) boundary for Alaskan watersheds

description: This dataset was created to assess regions and watersheds of Alaska for mean slope, minimum slope, maximum slope, median slope, standard deviation of slope, range of slope and coefficient of variation of slope in each SASAP region and each HUC8 watershed of Alaska. Three DEM's were mosaicked to make an Alaska-wide tiff. These include separate files for Alaska, the Yukon, and British Columbia. They were 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/f1tt4p6n
title: Salmon Proposals to the Alaska Board of Fisheries, 2000-2017

description: Every three years, the Alaska Board of Fish (Board) calls for regional fisheries management proposals, inviting the public to directly participate in fisheries governance. Anyone can submit a proposal and provide written or oral testimony on any of the proposals, which constitute potential regulatory changes and are accessible in an online proposal book. Proposals are logged by Board staff and recorded in the meeting documents, which are stored online and archived at the State, Library, Archives, and Museum (SLAM) in Juneau. Each proposal contains valuable information about stakeholder demographics, affiliations, interests, and positions on allocation disputes. This dataset contains proposals related to salmon fisheries over the entire state from 2000-2017. This dataset is derived from Meagan Krupa and Molly Cunfer. 2017. Alaska Board of Fish Proposals 1959-2016. Knowledge Network for Biocomplexity. doi:10.5063/F1G73BVP. The data here use the same coding techniques to transform the information in proposal books and vote logs into tabular format, with the exception of the added "Category" column. This information is added to this dataset to glean information on the types of ideas proposed to the Board of Fisheries.
DOI: 10.5063/f1zg6qhn
title: Salmon hatchery return data, 1975-2016

description: This dataset contains salmon return data by release site to Alaska fisheries enhancement projects, as reported by operators. More details on this dataset can be found in the Alaska Fisheries Enhancement Annual Report, 2016 (http://www.adfg.alaska.gov/FedAidPDFs/RIR.5J.2017.04.pdf). This harvest data is simply how many fish were harvested by a hatchery operator in their harvest area, and is not necessarily the number of hatchery-origin fish in that harvest. The original data is contained in ADFG_Obtained_AKReturns.xlsx. The included RMarkdown script (Hatchery_returns_reformatting.Rmd) reformats these data, and assigns region information based on the release site used by the hatchery. The reformatted file is "hatchery_returns.csv". The "Project" column generally denotes the release site. "CatchType" indicates what kind of harvest project the harvested fish were a part of. This distinguishes both by sector (commercial, subsistence, sport fish), gear (for commercial sector fish), and fish caught for brood stock or cost-recovery. In some early years, the harvest was not broken out by gear, and only an estimate for generalized commercial catch was derived - these are assigned the CatchType of "commerical other." A CatchType of "other" indicates that the type of catch did not fit easily into the other categories. Negative numbers in the catch values for this dataset are real. Sometimes when a sample of fish is taken at the hatchery or the escapement to a system where a hatchery is located, not all the fish may originate from that hatchery. The fish may be wild fish from the system or hatchery fish from another hatchery. The negative numbers are there to reduce the total of hatchery fish that were counted in the brood stock or escapement by those non-hatchery fish, where non-hatchery fish are known to exist in the harvest.
DOI: 10.5281/zenodo.2531951
title: Brewer 119 _ 25 Oct 2010 _ AM

description: Brewer 119 _ 25 Oct 2010 _ AM taken at Mauna Loa
DOI: 10.6073/pasta/232e1e519229312d7d6306392f22e5c5
title: Tree seedling germination, precipitation index, and SWE data for subalpine forest, 1940-2010

description: Annual germination dates for over 450 Engelmann spruce and over 500
  subalpine fir seedlings collected across a complex
  topographic-moisture gradient were compared to climate variability in
  the Colorado Front Range. This dataset contains the SPEI
  (standardized-evaporation precipitation index) and snow-water
  equivalent (SWE) data from 1940 to 2010 used in the study as well as
  the number of seedlings establishing each year from 1940 to 2010 by
  species.
DOI: 10.6073/pasta/eb15561de008e785dc1d12cdede97c98
title: Snowmelt lysimeter data from Soddie site, 1998-2003

description: The lysimeter array is a collection of 105 snowmelt lysimeters that
  collect discharge measurements at the base of the snowpack. Each
  lysimeter is a polyethylene pan with 22 cm high vertical walls and 47
  cm by 39.5 cm in horizontal extent resulting in a footprint area of
  ~1,850 cm2. The height of the lysimeter walls prevent both the loss of
  water out of the lysimeters and the influx of water from saturated
  zones along the snow-soil interface [Kattelmann, 2000]. This location
  collected data during spring snowmelt (April through July) for water
  years 1998 through 2003. From 1998 through 2001, the array was
  organized as a two meter grid nested within a four meter grid. The
  1998 water year had only 36 lysimeters installed. In the 2002 water
  year, 15 of lysimeters on the perimeter were relocated to increase the
  density of the inner grid. Lysimeters were moved from locations of low
  snow accumulation on the eastern edge and a region that collects
  debris during melt on the western edge. Meltwater collected by the
  lysimeters flowed to an underground laboratory through flexible PVC
  piping into Rainwise Rainew Tipping Bucket Rain Gauges. The cumulative
  number of tips were recorded by a Campbell Scientific CR1O data logger
  at one hour intervals summed to daily totals for this dataset. The
  precision of outflow is approximately 11 ml (~0.06 mm given the
  footprint of the lysimeter). This dataset includes the coordinates for
  each lysimeter of the Soddie lysimeter array. Coordinates are in UTM
  projection, zone 13N, datum NAD83.
DOI: 10.25345/c5fw3n
title: MassIVE MSV000083298 - RTS-MS3
title: Raw instrument data associated with the RTS-MS3 (real-time search) MS3 publication.
DOI: 10.5063/f12805wj
title: Sockeye salmon brood tables, northeastern Pacific, 1922-2016

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. These data can come in a number of different formats, but generally follow the pattern of: rows for each brood year, and columns for the estimated number of fish in each age class. This dataset consists of reformated and merged brood tables from Alaska, British Columbia, and Washington. These datasets were gathered as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/). Source information for the datasets can be found in the SourceInfo.csv file. A description of the merging and quality assurance process can be found in the broodTableProcessing.html file. Productivity (R/S) should not be directly compared among the stocks because some escapement counts are indices. Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at se (3 winters at sea = age-X.3).
DOI: 10.5063/f1513wgh
title: Subsistence harvest information by region, community, resource, and year, 1964-2015

description: Subsistence uses of wild resources are defined as 'noncommercial, customary and traditional uses' for a variety of purposes. These include: direct personal or family consumption as food, shelter, fuel, clothing, tools, or transportation, for the making and selling of handicraft articles out of nonedible by-products of fish and wildlife resources taken for personal or family consumption, and for the customary trade, barter, or sharing for personal or family consumption. Under subsistence statute in Alaska, the Alaska Board of Fisheries must identify fish stocks that support subsistence fisheries and, if there is a harvestable surplus of these stocks, adopt regulations that provide reasonable opportunities for these subsistence uses to take place. Whenever it is necessary to restrict harvests, subsistence fisheries have a preference over other uses of the stock. Subsistence fishing and subsistence hunting are important for the economies and cultures of many families and communities in Alaska. Subsistence uses of wild resources exist alongside other important uses of fish and game in Alaska and are especially important for most rural families, who depend on subsistence hunting and fishing as sources of nutrition and cultural practices. An estimated 36.9 million pounds of wild foods are harvested annually by rural subsistence users. Residents of more populated urban areas harvest about 13.4 million pounds of wild food under subsistence, personal use, and sport regulations. Harvest and community information is given here. Harvest information includes participation in subsistence activities as well as estimates of community, household, and per capita harvest of many different resource categories. Community information includes geographic and population information, and overall community harvest information. These data are also available and updated at https://www.adfg.alaska.gov/sb/CSIS/. The version archived here was extracted on 8/14/2017.
DOI: 10.5063/f17s7m13
title: Worker Demographics in the Seafood Processing Industry, 2010-2015

description: The data was 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 and reformatted from the original pdf (http://live.laborstats.alaska.gov/seafood/statewide/AKSFPWrkrDem.pdf) included in the data package. The data file contains information about the demographics of workers in the Alaskan seafood and fishing processing industry from 2010-2015.