cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.2fb36bc/28
title: RADreads_27.tar

description: 2b-RAD sequence reads. 30 files (1 per population) because of file size limitations
DOI: 10.5061/dryad.2fb36bc/29
title: RADreads_28.tar

description: 2b-RAD sequence reads. 30 files (1 per population) because of file size limitations
DOI: 10.5061/dryad.2fb36bc/30
title: RADreads_29.tar

description: 2b-RAD sequence reads. 30 files (1 per population) because of file size limitations
DOI: 10.5061/dryad.2fb36bc/31
title: RADreads_30.tar

description: 2b-RAD sequence reads. 30 files (1 per population) because of file size limitations
DOI: 10.5063/f1bk19n1
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: 10.5281/zenodo.2598648
title: On the Origin of Sub-subgiant Stars. II. Binary Mass Transfer, Envelope Stripping, and Magnetic Activity

description: MESA inlists and run_star_extras associated with Leiner et al. (2017). MESA version 7624.

Publication DOI: 10.3847/1538-4357/aa6aff
DOI: 10.5281/zenodo.2598649
title: On the Origin of Sub-subgiant Stars. II. Binary Mass Transfer, Envelope Stripping, and Magnetic Activity

description: MESA inlists and run_star_extras associated with Leiner et al. (2017). MESA version 7624.

Publication DOI: 10.3847/1538-4357/aa6aff
DOI: 10.14457/sut.res.2011.71
title: การพัฒนาความสามารถของระบบฟิกซ์-ฟิล์มไบโอสครับเบอร์
DOI: 10.14457/sut.res.2015.127
title: การออกแบบและพัฒนาระบบการให้น้าอัตโนมัติ ด้วยตัวควบคุมแบบฟัชซี
DOI: 10.14457/sut.res.2017.50
title: อิทธิพลของการแปรรูปพลาสติกต่อการเปลี่ยนแปลงการกระจายตัวของขนาดของตะกอนของแข็งเงินและสมบัติของโลหะผสมทองแดง-เงิน-เซอร์โคเนียม
DOI: 10.5063/f16t0jx9
title: Compiled annual statewide Alaskan salmon escapement counts, 1921-2017

description: As salmon migrate from the marine environment to freshwater streams to spawn, a certain number are allowed to pass through, or '/escape/' the salmon fishery (frequently located near the mouth of the freshwater stream) as a management strategy to preserve the species. Escapement data are the enumeration of these migrating fish as they pass upstream, and represent an index of the total abundance of spawning salmon in that particular stream. 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. Some data about non-salmon species are also included. This dataset contains compiled annual data from multiple sources. The .Rmd merges all datasets, attaches location information from the escapement_locations.csv file, identifies and flags duplicate records, and performs quality assurance checks by filtering and graphing results.
DOI: 10.5063/f19p2zxk
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: 10.14457/sut.res.2016.81
title: เอนไซม์ไลโอเซนเซอร์ที่ใช้ร่างแหตรึงของสารประกอบรีดอกซ์มอดิไฟด์ไคติ/ไคโตซานบนผิวคาร์บอนนาโนทิวบ์
DOI: 10.14457/sut.res.2017.54
title: การสังเคราะห์การตรวจสอบสมบัติและการใช้ประโยชน์บล็อกโคพอลิเมอร์ระหว่างพอลิแลคติกแอซิดและยางธรรมชาติ
DOI: 10.14457/sut.res.2017.55
title: การออกแบบและพัฒนาอัลกอริทึมการทำลายน้ำดิจิตอลสำหรับภาพสี
DOI: 10.14457/sut.res.2017.56
title: การประหยัดพลังงานสำหรับการขับเคลื่อนมอเตอร์เหนี่ยวนำสามเฟส
DOI: 10.5281/zenodo.2598790
title: Characterizing the gamma-ray variability of the brightest flat spectrum radio quasars observed with the Fermi LAT

description: The FITS files contain light curves (prefix "lc"), spectral energy distributions (prefix "sed") and best-fit parameters for the whole region of interest (prefix "bestfit_roi") for the gamma-ray analyses of the six brightest flat spectrum radio quasars observed over 9.5 years with the Fermi Large Area Telescope (LAT). The file names also indicate the considered binning (weekly, daily, orbit, sub-orbital) and the considered time range in MJD.<br>
The data products have been generated using the fermipy software, please see the documentation for further explanations of the columns provided in these files: https://fermipy.readthedocs.io/en/latest/

The analysis catalog are described in detail in the accompanying paper, which is submitted for publication in the Astrophysical Journal. The preprint of the submitted manuscript can be found here: https://arxiv.org/abs/1902.02291

Additionally, the code for high level analysis including the light curves and the gamma-ray absorption in the broad line region can be found on github: https://github.com/me-manu/GaRLiC and https://github.com/me-manu/blrabsorption
DOI: 10.5281/zenodo.2598791
title: Characterizing the gamma-ray variability of the brightest flat spectrum radio quasars observed with the Fermi LAT

description: The FITS files contain light curves (prefix "lc"), spectral energy distributions (prefix "sed") and best-fit parameters for the whole region of interest (prefix "bestfit_roi") for the gamma-ray analyses of the six brightest flat spectrum radio quasars observed over 9.5 years with the Fermi Large Area Telescope (LAT). The file names also indicate the considered binning (weekly, daily, orbit, sub-orbital) and the considered time range in MJD.<br>
The data products have been generated using the fermipy software, please see the documentation for further explanations of the columns provided in these files: https://fermipy.readthedocs.io/en/latest/

The analysis catalog are described in detail in the accompanying paper, which is submitted for publication in the Astrophysical Journal. The preprint of the submitted manuscript can be found here: https://arxiv.org/abs/1902.02291

Additionally, the code for high level analysis including the light curves and the gamma-ray absorption in the broad line region can be found on github: https://github.com/me-manu/GaRLiC and https://github.com/me-manu/blrabsorption
DOI: 10.5281/zenodo.2598837
title: Predicting and containing epidemic risk using on-line friendship networks - data and code

description: Contains code and data I used for the paper
DOI: 10.5281/zenodo.2598838
title: Predicting and containing epidemic risk using on-line friendship networks - data and code

description: Contains code and data I used for the paper
DOI: 10.14457/sut.res.2016.83
title: การพัฒนากระบวนการปลูกและแปรรูปหม่อนโดยใช้ระบบบริหารจัดการของ ชุมชนบ้านใหม่สันติแบบประสานประโยชน์ร่วมกันอำเภอสูงเนิน จังหวัดนครราชสีมา
DOI: 10.14457/sut.res.2017.59
title: การสกัดลักษณะสำคัญของสัญญาณคลื่นสมองที่ได้จากการเขียนในจินตนาการ
DOI: 10.17632/gz7dwshpph.1
title: Data for: The Tough, the Wet and the Hidden: Evolutionary Strategies of a Tropical Tree in a Changing Environment

description: This is the data set used in the study "The Tough, the Wet and the Hidden: Evolutionary Strategies of a Tropical Tree in a Changing Environment" (Zigelski et al.). We used the polymorphic species complex Syzygium guineense s.l. (Myrtaceae) to investigate the interrelations between genetic structure, spatial distances, phenotypic variation and environmental factors. Using STRUCTURE analysis of dominantly coded SSR data, and subsequent PCoA, PERMANOVA, PAM clustering, RLQ and fourth-corner analyses, we were able to identify multiple ecotypes that represent distinct evolutionary strategies to past environmental changes in South-Central Africa.
DOI: 10.5063/f1319t59
title: Daily salmon escapement counts, Central Region, Alaska

description: As salmon migrate from the marine environment to freshwater streams to spawn, a certain number are allowed to pass through, or '/escape/' the salmon fishery (frequently located near the mouth of the freshwater stream) as a management strategy to preserve the species. Escapement data are the enumeration of these migrating fish as they pass upstream, and represent an index of the total abundance of spawning salmon in that particular stream. 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. Some data about non-salmon species are also included. This dataset contains salmon escapement data from the Central Region (Region II) which includes Bristol Bay, Prince William Sound, and Cook Inlet.
DOI: 10.5063/f1610xmw
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: 10.5281/zenodo.2598794
title: Ultra-luminous X-ray sources and neutron-star-black-hole mergers from very massive close binaries at low metallicity

description: MESA inlists, run_star_extras, and data associated with Marchant et al. (2017). MESA version 8118. Publication DOI: 10.1051/0004-6361/201630188 Files are also available in a gihub repository here Upload includes post-processed simulation output in the files Z-XX.tar.xz, where XX represents the metallicity (Z-25.tar.gz is for a metallicity of log10(Z)=-2.5). Each folder inside the archive corresponds to a single MESA simulation, with the name indicating the value of log10(M_1), q=M2/M1 and the orbital period in days. For example, the directory 1.600_0.500_0.900 corresponds to the simulation with log10(M1/Msun)=1.6, M2/M1=0.5 and Porb=0.9 days. Each folder is also a MESA template folder, containing all input files neccesary to reproduce that individual simulation. The file summary_tables.tar.gz contains summarized information for each simulation in ascii format.
DOI: 10.5281/zenodo.2598795
title: Ultra-luminous X-ray sources and neutron-star-black-hole mergers from very massive close binaries at low metallicity

description: MESA inlists, run_star_extras, and data associated with Marchant et al. (2017). MESA version 8118.

Publication DOI: 10.1051/0004-6361/201630188

Files are also available in a gihub repository here
DOI: 10.6073/pasta/1fcc1d1c1220cdcea026cdba7a82cb6d
title: Phytoplankton identification using HPLC and Chem Taxonomy along transects in the Plum Island Sound estuary (Reformatted to ecocomDP Design Pattern)

description: This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org.

This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-pie&identifier=404&revision=1

The abstract below was extracted from the Level 0 data package and is included for context:

Water column samples are collected along an estuarine salinity gradient as part of our monitoring surveys of the Parker River estuary each spring and late summer (typically high vs low freshwater input). Samples are filtered, and stored frozen for later pigment analyses by HPLC. Pigment data are then analyzed by CHEMTAX, calibrated to a matrix of pigment ratios based on taxonomy and enumeration of selected subsamples by microspcopy. Data are presented in terms of chlorophyll a concentrations partitionaed among the major phytoplankton groups as determined by CHEMTAX. For 2003-2006, sampling stations along the Plum Island Sound-Parker River were at fixed geographic locations at specific "Bends" in the river. In 2008, we began sampling the water column in salinity space rather than at specific geographic locations along the river. This sampling approach was adopted in order to follow particular water masses in this macrotidal estuary. In practical terms, it means that sampling locations, or stations, are not static. Therefore, we have mapped the 11 sampling locations (latitude and longitude are logged at each station) from each transect along the mainstem of the estuary, so each station may be placed along the river (to the nearest 0.5km) as well as in salinity space. We have also used the km marker to assign the sampling locations from each survey to one of four bounding boxes : the Sound (Plum Island Sound; EST-PR-SoundBND) which encompasses approximatly the first 9.5 km or the transect, with Okm at the mouth of the sound; the Lower Parker River (EST-PR-LowerParkerBND) , ~9.5 - 14.5 km; the Middle Parker River (EST-PRMiddleParkerBND), ~14.5 - 18.75 km, and the Upper Parker River (EST-PR-UpperParker BND)., ~18.75 to 24.25 km (the Parker R. Dam).
DOI: 10.20350/digitalcsic/8624
title: Data from a genetic evaluation of the Iberian lynx ex situ conservation programme

description: Datasets as supporting information to article “Genetic evaluation of the Iberian lynx ex situ conservation programme” to be published in Heredity. The first sheet within the Excel file contains an index describing the information presented in each dataset.
description: Ex situ programmes have become critical for improving the conservation of many threatened species, as they establish backup populations and provide individuals for reintroduction and reinforcement of wild populations. The Iberian lynx was considered the most threatened felid species in the world in the wake of a dramatic decline during the second half of the 20th century that reduced its numbers to around only 100 individuals. An ex situ conservation programme was established in 2003 with individuals from the two well-differentiated, remnant populations, with great success from a demographic point of view. Here we evaluate the genetic status of the Iberian lynx captive population based on molecular data from 36 microsatellites, including patterns of relatedness and representativeness of the two remnant genetic backgrounds among founders, the evolution of diversity and inbreeding over the years, and genetic differentiation among breeding facilities. In general terms, the ex situ population harbours most of the genetic variability found in the two wild populations and has been able to maintain reasonably low levels of inbreeding and high diversity, thus validating the applied management measures, and potentially representing a model for other species in need of conservation
DOI: 10.5063/f12805x0
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: 10.5063/f1z899p0
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. &amp; 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 &amp; Irvine 2018, in the form of extracted .csv's.
DOI: 10.5281/zenodo.2592822
title: Global whole-rock geochemical database compilation

description: Dataset associated with the submitted publication - Global whole-rock geochemical database compilation
DOI: 10.5281/zenodo.2592823
title: Global whole-rock geochemical database compilation

description: Dataset associated with the submitted publication - Global whole-rock geochemical database compilation