cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1sq8xp0
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/f1xg9pf5
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: 10.17632/3k8z3g8w57.1
title: Data for: Participatory planning of the future of waste management in small island developing states to deliver on the Sustainable Development Goals
DOI: 10.26195/5c91b8dfd1f9f
title: Data for epidemiology of neonatal early-onset sepsis, incidence and outcomes and group B streptococcal screening, intrapartum antibiotic prophylaxis provision in an Australian local health district 2006-2016
DOI: 10.6073/pasta/6ad4d68147cdaac9db027b5533249ac4
title: CCE LTER process cruise, in the California Current region, event log records including date, time, position and activity for use in post-cruise data integration based on co-sampling indexes, 2006 - 2017 (ongoing).

description: The event logger program developed and maintained by the California Cooperative Oceanic Fisheries Investigations, SIO, program is used aboard CCE LTER process cruises to create indexes with temporal, spatial and activity information for post-cruise data integration. The event log is configured aboard the ship for the recording of sampling events by both ship crew personnel on the bridge, and research personnel in the lab. The event log is processed post-cruise to correct for various errors.
DOI: 10.17632/vrd89fbkx9.1
title: Data for: Environmental Performance Assessment of the Chemical Industries Involved in the Responsible Care Program: Case Study of the Russian Federation

description: The subject of the study covers the abundant dataset of environmental impact assessment indicators of chemical companies in the Russian Federation collected during an 11 y period. The data analysed in this paper are the reported annual indicators (separately by companies) relating to the impact on environmental subsystems: 1) Solid waste to be disposed of: the amount of hazardous and non-hazardous waste expressed in t. 2) Atmospheric pollution: SO2, volatile organic compounds (VOC), NOx, carbon oxide (CO) expressed in t. 3) Estimation of the impact of climate change was estimated on the basis of emissions of GHGs, including CO2, NOx, hydrofluorocarbons (HFCs), and methane (CH4), expressed in CO2eq. 4) Water pollution: COD, and the amount of phosphorus-containing and nitrogen-containing compounds, and the total amount of discharged hazardous chemical compounds expressed in t. Amount of consumed and discharged water expressed in m3. 5) Indicators of energy and resource consumption: data of the electric power in W/h, heat in kcal, and fuel consumption, e.g. a natural gas in m3. 6) Expenses on environment protection measures, expressed in RUB. 7) Total production of chemicals, expressed in t. These indicators were chosen because they are the main KPIs within the RCP program and possessed better data availability. The reporting of these indicators has been conducted since 2005.
DOI: 10.25612/837.485b5ldxx2b4
title: American Community Survey (ACS) 2017 Data for Liberty County, Texas, USA
title: American Community Survey (ACS) 2017

description: Demographic data on education, employment, families, households, housing units, poverty level, transportation to work, nativity/citizenship, language. From the ACS 5-year 2013-2017 estimates. Liberty County (TX).
DOI: 10.5063/f1nz85x6
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/f1th8jz8
title: Daily escapement counts from Tanada Creek and Long Lake weirs, Alaska, 1974-2014

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 Tanada Creek and Long Lake in the Copper River region of Alaska.
DOI: 10.5255/ukda-sn-853538
title: Incentive magnitude effects in experimental games: Bigger is not necessarily better, experimental data 2012-2017
DOI: 10.5281/zenodo.2598617
title: Dataset The MLL1 trimeric catalytic complex is a dynamic conformational ensemble stabilized by multiple weak interactions and is susceptible to pharmacological disruption

description: This dataset is related to <strong>"</strong>MLL1 minimal catalytic complex is a dynamic conformational ensemble susceptible to pharmacological allosteric disruption<strong>" </strong>(Lilia Kaustov, Alexander Lemak, Hong Wu, Marco Faini, Lixin Fan, Xianyang Fang, Hong Zeng, Shili Duan, Abdellah Allali-Hassani, Yong Wei, Masoud Vedadi, Ruedi Aebersold, Yunxing Wang, Scott Houliston, Cheryl H. Arrowsmith) . 

The repository contains the data used in the modeling of WDR5-RbBP5-MLL1 trimeric complex, the optimal ensemble of models, and the representative models for major and minor populations. The modeling is performed based on saxs and cross-link MS data, crystallographic structures, and comparative models using coarse-grained MD simulations and Sparse Ensemble Selection method (SES) for optimal ensemble selection.
DOI: 10.5281/zenodo.2598618
title: Dataset The MLL1 trimeric catalytic complex is a dynamic conformational ensemble stabilized by multiple weak interactions and is susceptible to pharmacological disruption

description: This dataset is related to <strong>"</strong>MLL1 minimal catalytic complex is a dynamic conformational ensemble susceptible to pharmacological allosteric disruption<strong>" </strong>(Lilia Kaustov, Alexander Lemak, Hong Wu, Marco Faini, Lixin Fan, Xianyang Fang, Hong Zeng, Shili Duan, Abdellah Allali-Hassani, Yong Wei, Masoud Vedadi, Ruedi Aebersold, Yunxing Wang, Scott Houliston, Cheryl H. Arrowsmith) . 

The repository contains the data used in the modeling of WDR5-RbBP5-MLL1 trimeric complex, the optimal ensemble of models, and the representative models for major and minor populations. The modeling is performed based on saxs and cross-link MS data, crystallographic structures, and comparative models using coarse-grained MD simulations and Sparse Ensemble Selection method (SES) for optimal ensemble selection.
DOI: 10.17632/t8z23gctbz.1
title: Data for: Synthesis and biological evaluation of 3-substituted 2-oxindole derivatives as new glycogen synthase kinase 3β inhibitors

description: Supplementary data (NMR spectra for novel compounds, details of animal study and molecular modeling) related with this article can be found here
DOI: 10.5063/f1j67f66
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/f1pr7t8d
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).
DOI: 10.5281/zenodo.2598675
title: A Photometric, Spectroscopic, and Apsidal Motion Analysis of the F-type Eclipsing Binary BW Aquarii from K2 Campaign 3

description: MESA inlists associated with Lester & Gies (2018). MESA version 10108.

Publication DOI: 10.3847/1538-3881/aac2ea
DOI: 10.5281/zenodo.2598676
title: A Photometric, Spectroscopic, and Apsidal Motion Analysis of the F-type Eclipsing Binary BW Aquarii from K2 Campaign 3

description: MESA inlists associated with Lester & Gies (2018). MESA version 10108.

Publication DOI: 10.3847/1538-3881/aac2ea
DOI: 10.6073/pasta/28f233002e2e1b6c8d412992e378358f
title: Macrosystems EDDIE Module 2: Cross-Scale Interactions

description: Environmental phenomena are often driven by multiple factors that
  interact across space and over time. In freshwater lakes and
  reservoirs worldwide, phytoplankton blooms are increasing in frequency
  and severity due to interactions between local, regional, and
  continental drivers, including land use (local) and climate change
  (regional) drivers. Because it is difficult to predict how
  phytoplankton blooms will respond to the different aspects of land use
  and climate change simultaneously, many researchers are using lake
  simulation models, which provide a powerful tool for exploring the
  sensitivity of ecosystems to multiple factors.

      
  In this module, students will learn how to set up a lake simulation
  model and "force" the model with climate and land use
  scenarios to test hypotheses about how local and regional drivers
  interact to promote or suppress phytoplankton blooms in different
  lakes.

      
  The overarching goal of this module is for students to explore new
  modeling and computing tools while learning fundamental concepts about
  how non-linear macrosystem-level phenomena (e.g., lake phytoplankton
  blooms) can occur through cross-scale interactions. The A-B-C
  structure of this module makes it flexible and adaptable to a range of
  student levels and course structures.

      
  This dataset contains instructional materials and the files necessary
  to run the complete module. Readers are referred to the GLM science
  manual (Hipsey et al. 2014) for further details on model
  configuration.
DOI: 10.5063/f18s4n6x
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/f1df6phx
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/f1k35rxv
title: Sockeye salmon brood tables, Washington, 1967-2011

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 reformatted sockeye salmon brood tables from Lake Washington. 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: 10.5281/zenodo.2598679
title: Accumulated tidal heating of stars over multiple pericentre passages near SgrA*

description: MESA inlist and run_star_extras associated with Li & Loeb (2013). MESA version 4298.

Publication DOI: 10.1093/mnras/sts567
DOI: 10.5281/zenodo.2598680
title: Accumulated tidal heating of stars over multiple pericentre passages near SgrA*

description: MESA inlist and run_star_extras associated with Li & Loeb (2013). MESA version 4298.

Publication DOI: 10.1093/mnras/sts567
DOI: 10.5517/ccdc.csd.cc1zz2tv
title: CCDC 1846168: Experimental Crystal Structure Determination

description: Related Article: Yoshito Kawamoto, Minako Tomino, Kenichi Hiramatsu, Yoshiaki Oyama, Yasuhiro Hayashi|2019|Bioorg.Med.Chem.Lett.|29|1419|doi:10.1016/j.bmcl.2019.03.021
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zz2vw
title: CCDC 1846169: Experimental Crystal Structure Determination

description: Related Article: Yoshito Kawamoto, Minako Tomino, Kenichi Hiramatsu, Yoshiaki Oyama, Yasuhiro Hayashi|2019|Bioorg.Med.Chem.Lett.|29|1419|doi:10.1016/j.bmcl.2019.03.021
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20b90p
title: CCDC 1856931: Experimental Crystal Structure Determination

description: Related Article: Aleksandar Oklješa, Olivera R. Klisurić, Dimitar Jakimov, Katarina Penov Gaši, Marija Sakač, Suzana Jovanović-Šanta|2019|J.Mol.Struct.|1187|14|doi:10.1016/j.molstruc.2019.03.055
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5063/f1fb517c
title: Commercial salmon harvest data, 1882-2016

description: Commercial harvest data of salmon are available from the Commercial Fisheries Entry Commission, however, depending on the resolution of these data, some years in some fisheries are confidential to protect the identity of the fishers and processors working in that fishery. In some cases, the Alaska Department of Fish and Game (ADFG) is granted a waiver by those fishers and processors to published annual data at the commercial fishing area level in annual reports. In an effort to analyze whether trends in confidentiality levels would skew commercial harvest data sourced directly from the CFEC, commercial harvest data were compiled from reports for all regions of Alaska except Prince William Sound, Southeast, and the Arctic. The data was taken from annual salmon fishery management reports, provided by the Alaska Department of Fish & Game, Division of Sport Fish and Commercial Fisheries (http://www.adfg.alaska.gov/sf/publications/). The data from Prince William Sound and Southeast Alaska were not included because the amount of fishers and processors in these regions rarely result in confidential data; the Arctic region was not included due to the lack of commercial fisheries. This dataset includes the original reports as pdf files, the data extracted from the reports, an R markdown file that reformats and compiles the extracted data (CommercialHarvest_Reports.Rmd), and the reformatted data (Commercial_Harvest_Reports.csv). Commercial salmon harvests were categorized in numbers of each fish species by year. In the reformatted dataset, areas were combined and renamed to corresponding SASAP regions, and some data removed to ensure that combined areas had consistent temporal coverage.