cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1gq6w1h
title: Commercial Crew Member Data from CFEC Permits, 2012-2017

description: The Commercial Fisheries Entry Commission (CFEC) is an independent, autonomous agency of the State of Alaska which regulates entry into Alaska's commercial fisheries. The CFEC is committed to promoting conservation and sustained-yield management of Alaska's unique fishery resources and boosting economic stability among fishermen and their dependents. The CFEC is responsible for leasing all commercial fishing permits including permits for limited-entry fisheries. Limited-entry fisheries include all state salmon fisheries, most herring fisheries, and various other fisheries. A person engaged in commercial fishing is considered a commercial fisherman and must hold a commercial fishing license. Commercial fisherman means an individual who fishes commercially for, takes, or attempts to take fish, shellfish, or other fishery resources of the state by any means, and includes every individual aboard a boat operated for fishing purposes, or in a fishing operation, who participates directly or indirectly in the taking of these raw fishery products, whether participation is on shares or as an employee or otherwise; however, this definition does not apply to anyone aboard a licensed vessel as a visitor or guest who does not directly or indirectly participate in the taking; and the term 'commercial fisherman' includes the crews of tenders, processors, catcher processors or other floating craft used in transporting fish. Persons who need to obtain a crew member license include persons handling fishing gear, the cook, the engineer and any crewmembers who assist at all in maintenance, navigation, docking and operation of the vessel (including taking aboard fish from tenders or catcher vessels). This dataset includes information about commercial crew members including license type, number, year, crew member name, and residence. The data included in this package has been modified slightly from what was provided by CFEC: typos with names were corrected and special characters were removed.
DOI: 10.14469/hpc/5069
title: Mestrenova Workshop

description: Dr. Nicola Tonge delivered a workshop on the use of Mnova for NMR analysis, including: Stacking/superimposing spectra Processing templates Assignments and reporting (multiplet analysis) Processing multiple spectra (e.g. for kinetics) ... and much more!
DOI: 10.17632/vv4p57x99j.1
title: Data for: The Long-Run Effects of Government Spending on Structural Change: Evidence from Second World War Defense Contracts

description: County-level data for the analysis in the paper titled "The Long-Run Effects of Government Spending on Structural Change: Evidence from Second World War Defense Contracts"
DOI: 10.5281/zenodo.2587748
title: [FABSPACE2.0]-Vegetation_Regione_Toscana

description: Toscana Region (Italy) Vector Data describing land cover and anthropic surfaces. Scale 1: 250000
description: Contact point: Regione Toscana
info@open.toscana.it
DOI: 10.5281/zenodo.2587749
title: [FABSPACE2.0]-Vegetation_Regione_Toscana

description: Toscana Region (Italy) Vector Data describing land cover and anthropic surfaces. Scale 1: 250000
description: Contact point: Regione Toscana
info@open.toscana.it
DOI: 10.13135/ela-310
title: Honours for the Elaiousians (?)
DOI: 10.5281/zenodo.2567450
title: Study on bio-inspired feet based on the cushioning and shock absorption characteristics of ostrich foot

description: The African ostrich (<em>Struthio camelus</em>) perennially living in deserts is outstanding with remarkable speed, exceptional endurance and continuous locomotion. As the main actuator of high-speed running, the ostrich feet possess excellent cushioning and shock absorption capabilities. In this study, based on the elastic modulus scales and assembly modes of soft tissues and the functions of the metatarsophalangeal (MTP) joint, eight bio-inspired feet were designed by an engineering method. With the peak acceleration as the index, the cushioning performances of different bio-inspired feet on loose sand or solid ground were compared through impact tests at different heights and verified by simulating the impact processes of the bio-inspired feet on loose sand on the finite element software Abaqus. Meanwhile, the stress distribution and deformation of each component of the bio-inspired feet were also clarified. The 15-15-15 HA (hardness unit) bio-inspired feet showed lower peak acceleration and thereby better cushioning performance, but larger deformation, less-uniform stress distributions and thereby lower stability than the 15-35-55 HA bio-inspired feet. Sensitivity analyses showed the cushioning capacity of the bio-inspired feet was comparable to that of the ostrich foot when the material (elastic modulus) and spring (stiffness coefficient) were properly selected. In fact, the silicon rubbers with different hardness levels which simulate the elasticity modulus scales of the toe pad, fascia and skin, and the spring mechanism which simulates the functions of the MTP joint, work as an “integrated system”of cushioning and shock absorption.
DOI: 10.5281/zenodo.2567451
title: Study on bio-inspired feet based on the cushioning and shock absorption characteristics of ostrich foot

description: The African ostrich (<em>Struthio camelus</em>) perennially living in deserts is outstanding with remarkable speed, exceptional endurance and continuous locomotion. As the main actuator of high-speed running, the ostrich feet possess excellent cushioning and shock absorption capabilities. In this study, based on the elastic modulus scales and assembly modes of soft tissues and the functions of the metatarsophalangeal (MTP) joint, eight bio-inspired feet were designed by an engineering method. With the peak acceleration as the index, the cushioning performances of different bio-inspired feet on loose sand or solid ground were compared through impact tests at different heights and verified by simulating the impact processes of the bio-inspired feet on loose sand on the finite element software Abaqus. Meanwhile, the stress distribution and deformation of each component of the bio-inspired feet were also clarified. The 15-15-15 HA (hardness unit) bio-inspired feet showed lower peak acceleration and thereby better cushioning performance, but larger deformation, less-uniform stress distributions and thereby lower stability than the 15-35-55 HA bio-inspired feet. Sensitivity analyses showed the cushioning capacity of the bio-inspired feet was comparable to that of the ostrich foot when the material (elastic modulus) and spring (stiffness coefficient) were properly selected. In fact, the silicon rubbers with different hardness levels which simulate the elasticity modulus scales of the toe pad, fascia and skin, and the spring mechanism which simulates the functions of the MTP joint, work as an “integrated system”of cushioning and shock absorption.
DOI: 10.5281/zenodo.2587940
title: [FABSPACE2.0] - Rome DEM

description: Digital Elevation Model of Rome Urban Area
description: To download the data: http://tinitaly.pi.ingv.it/download.html
DOI: 10.5281/zenodo.2587941
title: [FABSPACE2.0] - Rome DEM

description: Digital Elevation Model of Rome Urban Area
description: To download the data: http://tinitaly.pi.ingv.it/download.html
DOI: 10.3886/e108722v1-10761
title: Mobile phone Short Message Service (SMS) as a malaria control tool: evidence from rural Ghana

description: Data from this study comes from a
theory-driven mHealth intervention which sought to assess the effect of voice SMS on the prevalence of malaria among children
under-five living in rural districts of Ghana, Sub-sahara Africa. A quasi-experimental study was conducted from Februray 2016 to March 2017 using a
random sample of 332 caregivers with children under-five from two rural health
districts, assigned to either an intervention or a control group. A two-stage cluster smpling was used to select the sample. Caregivers in
the intervention group received voice short message service (SMS) on
malaria prevention based on a behavior change theory to improve their health behaviors
and practice, once a week for twelve months, while caregivers in the control
group received none. 

<br><br><br><br>
description: Response Rates: For this Survey data, which involved cross-sectional surveys at bseline and endline, all participants (332) participated at baseline. Six (6) participants dropped out at 12 months follow-up, giving a response rate of 98.2%.<br>
description: Presence of Common Scales: Includes a Likert-type scale <br>
description: face-to-face interview~~on-site questionnaire~~other~~
description: Caregivers and children under-five from rural districts of Ghana<br>
description: A two-stage random cluster sampling method was employed; cluster selection and participants from households<br><br><br><br><br>
DOI: 10.5063/f1bz6495
title: Commercial Fisheries Entry Commision CFEC Public Permit Holders by Community of Residence 1975-2016

description: The Commercial Fisheries Entry Commision (CFEC) is an independent, autonomous agency of the State of Alaska which regulates entry into Alaska's commercial fisheries. The CFEC is committed to promoting conservation and sustained-yield management of Alaska's unique fishery resources and boosting economic stability among fishermen and their dependents. To ensure effective management of commercial fisheries, all vessels used for commercial fishing or related activities must be licensed by the CFEC. This includes fishing vessels, tenders, packers, processors, transporter vessels, and seine skiffs. The CFEC is responsible for leasing all commercial fishing permits including permits for limited-entry fisheries. Limited-entry fisheries include all state salmon fisheries, most herring fisheries, and various other fisheries. This dataset represents the number of permits that were renewed, specifically, permit holders by community of residence. This includes all permits, limited entry and interim. This only includes Alaska Communities. So all the Non Residents that renewed their permit with an out-of-state address are not included.. The source of this permit information is various forms collected by CFEC including permit application, transfer requests, and address change forms.
DOI: 10.17632/s98x6mmc2d.1
title: Toxoplasma gondii in naturally infected goats

description: Results obtained in ELISA on serum and milk samples and data on the excretion of Toxoplasma gondii DNA in milk samples
DOI: 10.5523/bris.38purzim3u2td264im8porrguy
title: Exploring ultraviolet photoinduced charge-transfer dynamics in a model dinucleotide of guanine and thymine

description: Transient absorption, linear ultraviolet and infrared absorption, time-resolved infrared and NMR data underpinning published paper.
DOI: 10.17632/kmy95t22fy.3
title: Supplementary data for ECOMOD-18-226

description: Data for the article "Crucial but often neglected: The important role of spatial autocorrelation in hyperparameter tuning and predictive performance of machine-learning algorithms for spatial data."
DOI: 10.17632/pnjgyw72r4.1
title: Psychological intervention change measurement in Latin America: Where from? Where to?
DOI: 10.17632/vpc887d53s.1
title: Electronic nose dataset for detection of wine spoilage thresholds

description: This dataset is related to the data in brief "Electronic nose dataset for detection of wine spoilage thresholds." and the research paper "Wine quality rapid detection using a compact electronic nose system: application focused on 2 spoilage thresholds by acetic acid" The recorded time series was acquired at the sampling frequency of 18.5Hz during 180 seconds, resulting in 3330 data points per sensor. Each file in the dataset has eight columns: relative humidity (%), temperature (°C), and the resistance readings in kΩ of the six gas sensors: MQ-3, MQ-4, MQ-6, MQ-3, MQ-4, MQ-6. We organized the database in three folders for the wines: AQ_Wines, HQ_Wines, LQ_Wines; and one folder for the ethanol: Ethanol. Each folder contains text files that correspond to different measurements. The filename identify the wine measurement as follows: the first 2 characters of the filename are an identifier of the spoilage wine threshold (AQ: average-quality, HQ: high-quality, LQ: low-quality); characters 4-9 indicate the wine brand; characters 11-13 indicate the bottle, and the last 3 characters indicate the repetition (another sample of the same bottle). For example, file LQ_Wine01-B01_R01 contains the time series recorded when low-quality wine of the brand 01, bottle 01, sample 01 was measured. The filenames into the Ethanol folder identify the measurements at different concentrations: the first 2 characters of the filename are an identifier of Ethanol (Ea); characters 4-5 indicate the concentration in v/v (C1: 1%, C2: 2.5%, C3: 5%, C4: 10%, C5: 15%, C6: 20%); and the last 3 characters indicate the repetition. For example, file Ea-C1_R01 contains time series acquired when Ethanol at 1% v/v of concentration, sample 01 was measured. Electronic nose dataset for detection of wine spoilage thresholds
DOI: 10.5281/zenodo.2587753
title: Experiment Quality Evaluation Guidelines - Qualitative Study

description: Experiment Quality Evaluation Guidelines - Qualitative Study
DOI: 10.6080/k0r49p0v
title: Ventrolateral periaqueductal gray single-single unit activity during multi-cue fear discrimination in rats
title: CRCNS.org pag-1

description: These data were collected from the ventrolateral periaqueductal gray of 6 adult male, Long Evans rats using 16 – wire drivable microelectrode bundles. Data include 245 single units recorded from 88 behavior sessions. Fear discrimination sessions consisted of 32 trials with a mean ITI of 3.5 min. Auditory cues were 10 s in duration and consisted of repeating motifs of a broadband click, phaser, or trumpet. Each cue was associated with a unique probability of foot shock (0.5 mA, 0.5 s): danger, p = 1.00; uncertainty, p = 0.375; and safety, p = 0.00. Auditory identity was counterbalanced across rats. Foot shock was administered 2 s following the termination of the auditory cue on danger and uncertainty shock trials. The order of trial type presentation was randomly determined by the behavioral program, and differed for each rat, each session. After each discrimination session with recording, electrodes were advanced either 0.042 mm or 0.084 mm to record from new units during the following session. For four of the six rats, the electrode bundle was centered at -7.62 +/- 0.06 mm from Bregma, the other two rats had electrodes centered at -7.98 +0.06 mm from Bregma.
Data included are the result of spike sorting. Sample scripts used to visualize firing and behavior data from our main data file have been provided, as well as a sample regression which we have use to analyze the dataset. These data are currently under review and the complete methods will be available with that publication, which is:
Wright KM and McDannald MA. (2019); Ventrolateral periaqueductal gray neurons prioritize threat probability over fear output.  eLife.
DOI: 10.17632/ghkm85ybmf.1
title: Data for: Pore structure and fractal analysis of shale oil reservoir: A case study of Neogene Shahejie Formation in the Dongying Depression, Bohai Bay, China
DOI: 10.17632/spvdgvc9k8.1
title: Properties of Gamma Radiation

description: Spectra for NaI(Tl) runs
DOI: 10.17632/vpc887d53s.2
title: Electronic nose dataset for detection of wine spoilage thresholds

description: This dataset is related to the data in brief "Electronic nose dataset for detection of wine spoilage thresholds." and the research paper "Wine quality rapid detection using a compact electronic nose system: application focused on 2 spoilage thresholds by acetic acid" The recorded time series was acquired at the sampling frequency of 18.5Hz during 180 seconds, resulting in 3330 data points per sensor. Each file in the dataset has eight columns: relative humidity (%), temperature (°C), and the resistance readings in kΩ of the six gas sensors: MQ-3, MQ-4, MQ-6, MQ-3, MQ-4, MQ-6. We organized the database in three folders for the wines: AQ_Wines, HQ_Wines, LQ_Wines; and one folder for the ethanol: Ethanol. Each folder contains text files that correspond to different measurements. The filename identify the wine measurement as follows: the first 2 characters of the filename are an identifier of the spoilage wine threshold (AQ: average-quality, HQ: high-quality, LQ: low-quality); characters 4-9 indicate the wine brand; characters 11-13 indicate the bottle, and the last 3 characters indicate the repetition (another sample of the same bottle). For example, file LQ_Wine01-B01_R01 contains the time series recorded when low-quality wine of the brand 01, bottle 01, sample 01 was measured. The filenames into the Ethanol folder identify the measurements at different concentrations: the first 2 characters of the filename are an identifier of Ethanol (Ea); characters 4-5 indicate the concentration in v/v (C1: 1%, C2: 2.5%, C3: 5%, C4: 10%, C5: 15%, C6: 20%); and the last 3 characters indicate the repetition. For example, file Ea-C1_R01 contains time series acquired when Ethanol at 1% v/v of concentration, sample 01 was measured. Electronic nose dataset for detection of wine spoilage thresholds
DOI: 10.17632/z9rkytkrwn.1
title: Data for: Structure-based design and synthesis of pyrimidine-4,6-diamine derivatives as Janus kinase 3 inhibitors
DOI: 10.5281/zenodo.2551257
title: Data and code for "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator"

description: This folder contains all the code necessary to produce the figures of the paper entitled "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator" written by Mario F. Gely, Marios Kounalakis, Christian Dickel, Jacob Dalle, Rémy Vatré, Brian Baker, Mark D. Jenkins and Gary A. Steele

<strong>Content: </strong>

data/<br>
    Contains multiple folders each corresponding to a measurement. <br>
    These are all time stamped. <br>
    Inside each of these folders is a python file which corresponds to the measurement script run using the open source STlab library (see version closest to the time stamp on https://github.com/steelelabgit/stlab).<br>
    There is also a DAT file containing the measurement data and an accompanying text file which provides the name and end values of the swept parameters<br>
    This data will be opened and manipulated in the ipython notebooks

analysis_results/<br>
    Contains the results of the ipython notebooks _*.ipynb<br>
    These are run on a computer cluster and generate information used in other ipython notebooks

adaptive_rwa_solver_bootstrap_diagonal*.py<br>
    Libraries used to run the adaptive rotating wave approximation simulations

load_data.py<br>
    Modules used to load data from data/

plotting_functions.py<br>
    Modules used to plot 3D data as well as to generate default matplotlib settings

_*.ipynb<br>
    Notebooks run on a computer cluster (using python 2.7) to generate the information stored in analysis_results/ and used in other ipython notebooks

1D_S4BC_S9.ipynb<br>
    Notebook which generates the figures 1D, S4(B,C) and S9 of the paper. <br>
    Other notebooks follow this same naming convention

*.pdf<br>
*.png<br>
    Plots generated from the ipython notebooks which are then imported in Adobe Illustrator to construct figures
DOI: 10.5281/zenodo.2551258
title: Data and code for "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator"

description: This folder contains all the code necessary to produce the figures of the paper entitled "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator" written by Mario F. Gely, Marios Kounalakis, Christian Dickel, Jacob Dalle, Rémy Vatré, Brian Baker, Mark D. Jenkins and Gary A. Steele

<strong>Content: </strong>

data/<br>
    Contains multiple folders each corresponding to a measurement. <br>
    These are all time stamped. <br>
    Inside each of these folders is a python file which corresponds to the measurement script run using the open source STlab library (see version closest to the time stamp on https://github.com/steelelabgit/stlab).<br>
    There is also a DAT file containing the measurement data and an accompanying text file which provides the name and end values of the swept parameters<br>
    This data will be opened and manipulated in the ipython notebooks

analysis_results/<br>
    Contains the results of the ipython notebooks _*.ipynb<br>
    These are run on a computer cluster and generate information used in other ipython notebooks

adaptive_rwa_solver_bootstrap_diagonal*.py<br>
    Libraries used to run the adaptive rotating wave approximation simulations

load_data.py<br>
    Modules used to load data from data/

plotting_functions.py<br>
    Modules used to plot 3D data as well as to generate default matplotlib settings

_*.ipynb<br>
    Notebooks run on a computer cluster (using python 2.7) to generate the information stored in analysis_results/ and used in other ipython notebooks

1D_S4BC_S9.ipynb<br>
    Notebook which generates the figures 1D, S4(B,C) and S9 of the paper. <br>
    Other notebooks follow this same naming convention

*.pdf<br>
*.png<br>
    Plots generated from the ipython notebooks which are then imported in Adobe Illustrator to construct figures
DOI: 10.15468/bj0vpx
title: A Checklist of the Butterflies of Arabuko-Sokoke Forest, Kenya

description: Arabuko-Sokoke forest, located south of Gede in Kilifi County, is the largest and most intact coastal forest in East Africa. It is rich in butterfly species with an estimated c.30% of the butterfly species of Kenya recorded within it. This checklist consists of 282 butterfly species (14 records of family Papilionidae, 33 Pieridae, 88 Lycaenidae, 101 Nymphalidae and 46 Hesperiidae) that have been recorded from Arabuko-Sokoke Forest. These data were collected through sight observations, photographs and specimen records, trapped through use of sweep nets or butterfly traps.
DOI: 10.17632/37bjbdgzzt.1
title: Data for: Development of odor awareness in preschoolers: a longitudinal study

description: Raw data, split into recruitment groups. Data set includes scores for the individual items of the Children’s Olfactory Behaviors in Everyday Life Questionnaire (COBEL) according to wave of data collection and children's age. F = female, M = male.
DOI: 10.17632/4tkph3mxp9.1
title: Dataset to run examples in SmartPLS 3 (teaching and learning)

description: This zip file contains: - 3 .zip files = projects to be imported into SmartPLS 3 &gt;&gt;&gt; DLOQ-A model with 7 dimensions &gt;&gt;&gt; DLOQ-A model with second-order latent variable &gt;&gt;&gt; ECSI model (Tenenhaus et al., 2005) to exemplify direct, indirect and total effects, as well as importance-performance map and moderation with continuous variables. &gt;&gt;&gt; ECSI Model (Sanches, 2013) to exemplify MGA (multi-group analysis) - 5 files (csv, txt) with data to run 7 examples in SmartPLS 3
DOI: 10.17632/h8nvn7hcjw.1
title: Authentic leader and internal whistleblowing: Testing dual mediation mechanism

description: This data set for manuscript submitted to Ethics and Behavior
DOI: 10.17632/h8nvn7hcjw.2
title: Rasyid et al-2019-Data Set for Ethics & Behavior

description: This data set for manuscript submitted to Ethics and Behavior
DOI: 10.17632/h8nvn7hcjw.3
title: Rasyid et al-2019-Data Set for Ethics & Behavior

description: This data set for manuscript submitted to Ethics and Behavior