cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rps52e
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UK Roadkill Records",
 "Month is March",
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "Year 2011-2011"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242582-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4yc7w
title: Occurrence Download

description: A dataset containing 1096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atraphaxis billardierei Jaub. & Spach, Atraphaxis frutescens (L.) Eversm., Atraphaxis replicata Lam., Atraphaxis spinosa L., Atriplex aucheri Moq., Atriplex calotheca (Rafn) Fr., Atriplex cana Ledeb., Atriplex glabriuscula Edmondston, Atriplex glabriuscula × prostrata, Atriplex glauca L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DatasetKey is one of (Pl@ntNet automatically identified occurrences, Pl@ntNet observations, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, naturgucker, Artportalen (Swedish Species Observation System), Norwegian Species Observation Service, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, Species recordings from the Danish National portal Arter.dk, Lajitietokeskus/FinBIF - Notebook, general observations, Vascular plant records verified via iRecord, iRecord Surveys)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1096 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068694-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zaf0m
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "TaxonKey is Aosa rupestris (Gardner) Weigend",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005713-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekpppt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lagenorhynchus cruciger (Quoy & Gaimard, 1824)"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242600-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uen3pf
title: Occurrence Download

description: A dataset containing 2218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 9.17064743914638",
 "DecimalLongitude is less than 9.17370699233078",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2218 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008799-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ewod
title: Occurrence Download

description: A dataset containing 9363362 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 9363362 records from 1379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009669-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7jpsf
title: Occurrence Download

description: A dataset containing 3245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Styela clava Herdman, 1881"
 ]
}

 The dataset includes 3245 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245270-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwuzk7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material citation",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphacelaria rigidula Kütz."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068732-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdlx3t
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa sp. domesticus Erxleben, 1777",
 {
 "or" : [
 "Country is India",
 "Country is Nepal"
 ]
 }
 ]
}

 The dataset includes 81 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009670-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2wnsy
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.02429 11.48718,-52.97571 11.48718,-52.97571 23.51282,-83.02429 23.51282,-83.02429 11.48718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brachyphylla cavernarum Gray, 1834",
 "Year 1920-2016"
 ]
}

 The dataset includes 1059 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245260-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdg7ud
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis rufus Audubon & Bachman, 1851",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 175 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068723-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3sm6x
title: Occurrence Download

description: A dataset containing 1931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Cecropia Loefl."
 ]
}

 The dataset includes 1931 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005438-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49kmpq
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arthrocnemum Moq., Arthrocaulon Piirainen & G.Kadereit)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 886 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005440-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugjgt6
title: Occurrence Download

description: A dataset containing 59251 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish Collection NRM"
 ]
}

 The dataset includes 59251 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005439-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptyt6p
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Planktonic, benthic and sympagic copepods collected in the desalination unit during the XXXIVth Expedition of the Italian National Antarctic Program (PNRA)"
 ]
}

 The dataset includes 167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005444-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5aucmg
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arthrocnemum Moq., Arthrocaulon Piirainen & G.Kadereit)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 886 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005445-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q56bjf
title: Occurrence Download

description: A dataset containing 11312 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Astacus astacus (Linnaeus, 1758)"
 ]
}

 The dataset includes 11312 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005446-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhze6x
title: Occurrence Download

description: A dataset containing 6233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium drummondii Regel"
 ]
}

 The dataset includes 6233 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005447-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14767871
title: Code and Data Files for the manuscript Iterative Design of Centralized PID Controllers Based on Equivalent Loop Transfer Functions and Linear Programming

description: These code and data files are for the research article to IEEE Access titled "Iterative Design of Centralized PID Controllers Based on Equivalent Loop Transfer Functions and Linear Programming", doi: https://doi.org/10.1109/ACCESS.2021.3139214.The data files include: 1) scripts and functions coding the proposed design methodology and 2) scripts and functions to obtain the results and figures of the examples in the paper.All these scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html) using its Control toolbox. The code was run on a pc with Windows 10.

There are to folders (Example1_2x2 and Example2_3x3), one for each example presented in the article. Inside of each folder there are:- A main file to perform the control design and simulation of each example. These files are Ejemplo1_2x2.m and Ejemplo2_3x3.m.- Functions where the proposed methodology of control design has been coded.- Functions to plot simulation responses and frequency responses.- A folder with the data files .dat and a script to obtain a plot presented in the article and related with the convergence of the proposed iterative procedure. This figure is also included in format .fig. - A folder with data files .dat and a script to obtain the figures with the simulation responses shown in the paper.The header of these files is commented indicating their functionality. They allow you to compute the control design proposed in the article and to obtain the related figures as they can be seen in the paper.

NOTE: the data files also include the corrected version of Figure 9 (Figure9corrected.tif) since in the publication this figure is partially wrong as it does not show the second loop signals and the legend.
DOI: 10.5281/zenodo.14767872
title: Code and Data Files for the manuscript Iterative Design of Centralized PID Controllers Based on Equivalent Loop Transfer Functions and Linear Programming

description: These code and data files are for the research article to IEEE Access titled "Iterative Design of Centralized PID Controllers Based on Equivalent Loop Transfer Functions and Linear Programming", doi: https://doi.org/10.1109/ACCESS.2021.3139214.The data files include: 1) scripts and functions coding the proposed design methodology and 2) scripts and functions to obtain the results and figures of the examples in the paper.All these scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html) using its Control toolbox. The code was run on a pc with Windows 10.

There are to folders (Example1_2x2 and Example2_3x3), one for each example presented in the article. Inside of each folder there are:- A main file to perform the control design and simulation of each example. These files are Ejemplo1_2x2.m and Ejemplo2_3x3.m.- Functions where the proposed methodology of control design has been coded.- Functions to plot simulation responses and frequency responses.- A folder with the data files .dat and a script to obtain a plot presented in the article and related with the convergence of the proposed iterative procedure. This figure is also included in format .fig. - A folder with data files .dat and a script to obtain the figures with the simulation responses shown in the paper.The header of these files is commented indicating their functionality. They allow you to compute the control design proposed in the article and to obtain the related figures as they can be seen in the paper.

NOTE: the data files also include the corrected version of Figure 9 (Figure9corrected.tif) since in the publication this figure is partially wrong as it does not show the second loop signals and the legend.
DOI: 10.5281/zenodo.14774154
title: Data Files for the manuscript Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain

description: These data files are for the research article to Processes titled "Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain", doi: https://doi.org/10.3390/pr9010140.The files include scripts, functions and data (files .mat) to obtain the results and figures of the examples in the paper, and some of these figures in format .fig.All these data, scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html) using its Control toolbox. The files were run on a PC with Windows 10.There are two folders, one for each example presented in the article. 

A) Folder DataExample1_2x2 includes:- Fig10.fig: Figure 10 in .fig format.- Data files in .mat format with the data corresponding to the simulation responses of the five controllers designed for this example: datosWB_MF.mat, datosWB_MG.mat, datosWB_MFMG.mat, datosWB_MS.mat, and datosWB_ML. mat.- fig11simulation.m: script to plot the simulation results of the proposed controllers and obtain Figure 11 in the paper.

B) Folder DataExample2_3x3 includes:- Ogms.mat and Oglm.mat: data files with the data corresponding to the design procedure performed to obtain the two proposed controllers in example 2, such as parameters and specifications for each iteration.- Ex2_fig12iteration.m: script to obtain Figure 12, related to the convergence of the proposed iterative procedure.- Ex2_fig13nyquist.m: script to plot Figure 12 with the Nyquist diagrams of the loops of this example. This figure is also included in Figure13.fig.- rango_wg.m: function to calculate the frequency range of interest of a transfer function.- margenes.m: function to calculate different robustness margins of a ftla in tf format or frd object.- miNyquist.m: function to plot the Nyquist plot of a ftla together with the robustness margins in tf format or frd object.- Data files in .mat format with the data corresponding to the simulation responses of the controllers compared in this example: datosOgMs.mat, datosOgLMR.mat, datosOgVu.mat, and datosOgHuang.mat.- Ex2_fig14simulation.m: script to plot the simulation results of the different controllers in the example 2 and obtain Figures 14 and 15.
DOI: 10.5281/zenodo.14774155
title: Data Files for the manuscript Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain

description: These data files are for the research article to Processes titled "Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain", doi: https://doi.org/10.3390/pr9010140.The files include scripts, functions and data (files .mat) to obtain the results and figures of the examples in the paper, and some of these figures in format .fig.All these data, scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html) using its Control toolbox. The files were run on a PC with Windows 10.There are two folders, one for each example presented in the article. 

A) Folder DataExample1_2x2 includes:- Fig10.fig: Figure 10 in .fig format.- Data files in .mat format with the data corresponding to the simulation responses of the five controllers designed for this example: datosWB_MF.mat, datosWB_MG.mat, datosWB_MFMG.mat, datosWB_MS.mat, and datosWB_ML. mat.- fig11simulation.m: script to plot the simulation results of the proposed controllers and obtain Figure 11 in the paper.

B) Folder DataExample2_3x3 includes:- Ogms.mat and Oglm.mat: data files with the data corresponding to the design procedure performed to obtain the two proposed controllers in example 2, such as parameters and specifications for each iteration.- Ex2_fig12iteration.m: script to obtain Figure 12, related to the convergence of the proposed iterative procedure.- Ex2_fig13nyquist.m: script to plot Figure 12 with the Nyquist diagrams of the loops of this example. This figure is also included in Figure13.fig.- rango_wg.m: function to calculate the frequency range of interest of a transfer function.- margenes.m: function to calculate different robustness margins of a ftla in tf format or frd object.- miNyquist.m: function to plot the Nyquist plot of a ftla together with the robustness margins in tf format or frd object.- Data files in .mat format with the data corresponding to the simulation responses of the controllers compared in this example: datosOgMs.mat, datosOgLMR.mat, datosOgVu.mat, and datosOgHuang.mat.- Ex2_fig14simulation.m: script to plot the simulation results of the different controllers in the example 2 and obtain Figures 14 and 15.
DOI: 10.6084/m9.figshare.14842674
title: A survey of distracted driving and electronic device use among app-based and taxi drivers

description: The purpose of this study was to identify, characterize and compare attitudes, beliefs, behaviors and other factors related to electronic device (ED) use and distracted driving (DD) among taxi and app-based drivers. A survey among drivers in San Diego and across the United States was used to collect self-reported attitudes and behaviors among taxi and app-based passenger-carrying drivers from October 1, 2016 to January 31, 2017. Chi-square or Fisher’s exact test was used to assess the difference between sociodemographics, ED use, ED use attitudes, and citation and crash history by driver type. Prevalence ratios were assessed for differences in ED use and ED use attitudes by driver type using Poisson regression models with robust error variance and a log link function. The final models adjusted for age, sex, level of experience, education and English fluency. All analyses were performed using SAS version 9.4. Of the 175 drivers that met eligibility criteria, 131 reported driving for app-based services and 44 identified as taxi drivers. Compared to taxi drivers, app-based drivers were more likely to be female, native English speaking, and have fewer than 3 years of experience in the transportation business. All drivers reported at least one type of DD while the car was in motion. App-based drivers were significantly more likely to use a smartphone while driving (adjusted prevalence ratio (APR): 1.42), report that while driving it is safe or very safe to accept a call (APR: 1.73), receive/respond to a passenger request (APR: 3.40), or process a payment (APR: 5.39). Taxi drivers were more likely to either receive a citation for ED use (31.8% v 7.6%, <i>p</i> &lt; 0.001) or be in a collision while using ED (29.6% v 4.6%, <i>p</i> &lt; 0.001). Almost all drivers who received a citation or who were involved in a crash reported becoming somewhat or significantly more cautious about using ED while driving. Drivers in the small passenger-carrying transportation industry engage in DD frequently due to occupational demands. Given the known increased crash risk with DD, effective policies and interventions for app-based and taxi drivers are needed.