cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/5pnpkj/xuc096
title: NBD5273_100K_1-1.out

description: :unav
DOI: 10.17632/vs2pgh8sb4.1
title: Data for: Characterization of three new viruses of the family Betaflexiviridae associated with camellia ringspot disease
DOI: 10.7910/dvn/5pnpkj/bv45he
title: Time_vs_Size-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/eq5wmv
title: Participant_Activity-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/hk4lyn
title: 1421720926503-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/m6gib2
title: NBD5273_100K_1-1.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/np5dlr
title: clonify_test-1.py

description: :unav
DOI: 10.7910/dvn/5pnpkj/rpmuz2
title: NBD5273_10K_2-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/uydgnr
title: 1421706193397-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/vhg0tc
title: 1421721196652-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/ykahk5
title: 1421724120691-1.tab

description: :unav
DOI: 10.5257/oecd/mei/2019-08
title: Main Economic Indicators (MEI) (August 2019 Edition)

description: The Main Economic Indicators database includes a wide range of areas from 1961, such as quarterly national accounts, business surveys, retail sales, industrial production, construction, consumer prices, total employment, unemployment rates, interest rates, money and domestic finance, foreign finance, foreign trade, and balance of payments for OECD countries and non-member economies.
DOI: 10.5281/zenodo.3380527
title: Research Incentive Programs for Closures of Public and Private Grade Crossings

description: Corresponding data set for Tran-SET Project No. 17PPLSU13. Abstract of the final report is stated below for reference: "Vehicle-train crashes that occur at highway-rail crossings result in injuries, fatalities, and damage to equipment. In order to reduce the number of vehicle-train crashes, Federal Railroad Administration requires states which have challenges with crossing safety, including Louisiana, to develop a State Action Plan to improve grade crossing safety. Consequently, identification of specific solutions for improving safety at crossings was included in the 2015 Louisiana Transportation Plan as one of its objectives. This study seeks to identify and evaluate current and new incentive programs that encourage closure of at-grade railroad crossings to reduce the number of potential vehicle-train collision points, and hence improve safety. To accomplish this, a survey was designed and was distributed to personnel of state and railroad agencies. Survey responses from the DOTs revealed that currently, 16 states had no incentive programs for consolidation or closure of highway-rail crossings. Analysis of the survey data revealed that states without any incentive program had the least proportion of highway-rail crossing closures. The study revealed that cash incentives, while popular are not effective because although the Federal Government contributes to a state’s effort in offering cash incentives for closure of public grade crossings, the amount is not substantial enough to be considered a significant incentive by most local governments. Also, track relocation, while effective is mostly impractical due to the high costs involved. A literature review revealed that having a mathematical model to guide on the selection of crossings for consolidation or closure provides sound scientific basis and are usually welcomed by the community. The research team identified three potential new incentives that could work well for Louisiana namely crime rate reduction incentives, greenness improvement programs, and the development of a grade crossing consolidation model that considers safety, among a plethora of other factors, to be used to prioritize crossings to be closed. However, additional work is required to validate these programs for statewide deployment."
description: Tran-SET Project No. 17PPLSU13
DOI: 10.7910/dvn/5pnpkj/3aisqn
title: 1421716301697-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/7ujola
title: 1421720929747-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/9qkyjn
title: NBD5146_100K_1-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/bbbim7
title: NBD5146_10K_1-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/gncm3l
title: NBD5273_10K_1-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/gqmiw7
title: NBD5273_100K_2-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/jjexed
title: 1421706197817-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/kfrk2y
title: NBD5146_100K_2-1.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/syphjf
title: Scoring_Dynamics_Objective_Antibody-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/5usjee
title: 1421710440280-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/5xkook
title: NBD5146_10K_2.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/7zwhwa
title: 1421721138593-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/b7zwfz
title: NBD5146_10K_2.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/ce6mgo
title: pfr-1.cpp

description: :unav
DOI: 10.7910/dvn/5pnpkj/lwgvsl
title: 1421721123330-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/mlpc3a
title: 1421709425530-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/prmhfh
title: NBD4967_100K-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/zz3ofg
title: 1421721143421-1.tab

description: :unav
DOI: 10.5281/zenodo.3380532
title: Development of a Self-Powered Structural Health Monitoring System for Transportation Infrastructure

description: Corresponding data set for Tran-SET Project No. 17PTAM03. Abstract of the final report is stated below for reference: "Roadways and bridges play an important role in the economic and social health of society by connecting commerce and people. Economic growth and population expansion pose considerable burden on the aging infrastructure (i.e., pavements and bridges). There is a pressing need to develop structural health monitoring (SHM) technologies capable of collecting infrastructure utilization data. Doing so inexpensively with self-powered systems will revolutionize infrastructure monitoring technology, and will improve decision making enabling roadway and bridge preservation. In this study, a self-powered battery-less structural health monitoring (SHM) system was developed. It is powered by a thermal energy harvester equipped with thermoelectric generators (TEGs) driven by temperature differentials between the top of asphalt pavements and their lower layers. An innovative 2-tier TEG harvester was designed to limit the downtime of the SHM system when the temperature differentials are insufficient to power a single unit. The 2-tier system requires a minimum of 2.1⁰C in temperature differential to generate the minimum of 40 mV needed to power the SHM system. The SHM system consists of a DC-DC booster to increase the voltage generated by the harvester, a buck controller to bring this voltage down to the 3.3 Volts required for powering the microcontroller, a microcontroller and a wireless transceiver for transmitting the data. Another transceiver carried on-board a pilot vehicle is needed to retrieve the data. Software was developed in this project to allow data communication between the two transceivers. The SHM system developed accepts analogue voltage input from any sensor that generates analogue voltage, (e.g., piezoelectric axle load sensors, strain gauges, temperature gauges and so on). A prototype of this SHM system was constructed and tested in the lab and it is ready for field implementation."
description: Tran-SET Project No. 17PTAM03
DOI: 10.5281/zenodo.3380535
title: causes and consequences of egg morphology in the common tern

description: Data sets used for analysis researching the causes and consequences of egg morphology in the common tern
DOI: 10.5281/zenodo.3380536
title: causes and consequences of egg morphology in the common tern

description: Data sets used for analysis researching the causes and consequences of egg morphology in the common tern
DOI: 10.7910/dvn/5pnpkj/3qrsb6
title: 1421721123119-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/gbuqz5
title: pfr-1.pdf

description: :unav
DOI: 10.7910/dvn/5pnpkj/gjzl0h
title: NBD4967_100K-1.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/lvdi5l
title: 1421720898875-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/njmebs
title: Scoring_vs_Size-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/tgihgc
title: Makefile-3

description: :unav
DOI: 10.7910/dvn/5pnpkj/wdnr9j
title: Scoring_Dynamics_Relative_Antibody-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/wgd0bf
title: Failed_Tests_Check_Scores-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/xi583g
title: 1421710162612-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/0lhthx
title: SystemTestResult-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/c2eyhu
title: 1421710158037-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/c80eba
title: 1421721171566-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/cagiut
title: 1421720903423-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/nrrfk8
title: 1421721198308-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/sr2ltq
title: ABCSpeedup Progress-1.xlsx

description: :unav
DOI: 10.7910/dvn/5pnpkj/twbmso
title: Failed_Tests_Check_Time-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/x07qfc
title: a9108tc-1.pdf

description: :unav
DOI: 10.7910/dvn/5pnpkj/x41ipc
title: Accuracy_vs_Size-1.jpg

description: :unav
DOI: 10.17632/wmgrmh2n7h.1
title: Data for: Oil and gas platforms as artificial substrates for epibenthic North Sea fauna: effects of location and depth

description: The data were collected through inspection of ROV videos by Floor M.F. Driessen [1]. 1.†††††† Bureau Waardenburg, Varkensmarkt 9, Postbus 365, 4100 AJ Culemborg, The Netherlands. EXPLANATION OF DATASET The data are formatted in a single csv file. It contains 30 columns with 5587 rows, including title row. Each row represents a separate observation of species abundance according to the Braun-Blanquet scale. The dataset contains null values which are indicated with NA. The first 21 columns contain sample information. Columns 22-29 contain information about taxonomic grouping and Column 30 contains the Braun-Blanquet abundance values. Explanation per column (1-30): Observation_number: Unique identification code for each observation. Include_YES_NO: indication whether or not the observation was included in data analysis: YES =included, NO= not included. Country: Country of operation of the offshore gas or oil platform: NL = The Netherlands, DK = Denmark Company: Company operating the offshore gas or oil platform: Maersk Oil or Petrogas E&P LLC. Platform_name: name of the offshore gas or oil platform. Latitude: latitudinal coordinate of the location of the platform in decimal degrees, WGS84. Longitude: longitudinal coordinate of the location of the platform in decimal degrees, WGS84. Distance from Dutch shore: shortest distance from platform to the Dutch shoreline as the crow flies (in km) Distance from Danish shore: shortest distance from platform to the Danish shoreline as the crow flies (in km) Year_of_installation: Year of installation of the gas or oil platform (OSPAR production start) Depth_platform: depth of platform at lowest astronomical tide (LAT) in meters Video_Name: unique video name Video_Date: date on which the ROV video was taken Video_quality: video quality as assessed by the video observer and relative to available video material. 0 = no visibility/black screen, 9 = very good visibility, no limitations for video analysis, NA = unknown. Depth_ROVsample: depth recorded by ROV at which the video was taken. Depth_Range: depth class, e.g. depth between 0 and 5 m corresponds to a depth range of 1. Substrate_type: type of substrate on which observation was made: anode material, concrete, debris, pebbles, rockdump, sand, shells, steel, or unknown (when video quality was very low) Sample_Size: area surveyed in m2. Standard surveyed area is 1x1m, but in some cases the ROV took more detailed (0,25 and 0,5 m2) or less detailed (2 m2) footage. Phylum: phylum of the observed organism. NA= unknown Class: taxonomic class of the identified organism. NA= unknown Order: taxonomic order of the identified organism. NA= unknown Species/taxon: species name of the identified organism. NA= unknown Sp.Indet.: species name or the closest recognizable taxonomic grouping of unidentified species or unknown Braun_Blanquet_Abundance: abundance according to an adapted version of the Braun-Blanquet scale (Schutter et al. 2018)
DOI: 10.5281/zenodo.3380537
title: Evaluation of Comparative Damaging Effects of Multiple Truck Axles for Flexible Pavements

description: Corresponding data set for Tran-SET Project No. 17PUTA01. Abstract of the final report is stated below for reference: "This study aims at evaluating the effect of overlapping flexible pavement strain responses from truck axles that are not part of multiple axle configurations (i.e., tandem, triple and quad). For this purpose, a newly constructed pavement was instrumented with strain gauges installed at the bottom of the asphalt concrete base layer on US-287 south of Mansfield, TX. This pavement structure is typically used for medium- to high-volume roads in the South-Central region of the United States. The strain gauges were used to measure longitudinal and transverse strains under several passes of a test vehicle. This was a class 6 truck with a steering axle load of 56.9 kN (12.8 kips) and a tandem drive axle load of 161.9 kN (36.4 kips). The speed and the lateral position of the vehicle were recorded for each test vehicle pass. Sufficient quantities of the top two layers of asphalt concrete were obtained during construction to allow dynamic modulus testing in the laboratory. The general-purpose finite element program Abaqus was used to model the instrumented pavement section and compute the longitudinal and transverse strains at the location of the strain gauges. In the analysis, the asphalt concrete layers were modeled as visco-elastic materials. The Abaqus estimated strains were found in good agreement with the measured strains. Both the field measurements and the finite element analysis showed that the strains under the passing of the steering axle were of similar magnitude as the strains under the passing of the rear tandem axle. The measured transverse strains were in general slightly larger than the corresponding longitudinal strains. This can be attributed to the accumulation of strain from the front axle and the rear axle that takes place only in the transverse direction. However, the finite element model computed higher strains in the longitudinal direction than in the transverse direction. These findings suggest the need to account for the overlap in strain responses from the steering and the following axles of trucks. Furthermore, findings suggest that both the longitudinal and the transverse strain responses need to be considered in evaluating the fatigue damage impacted from trucks."
description: Tran-SET Project No. 17PUTA01
DOI: 10.5281/zenodo.3381130
title: Satellite Sensor Relative Spectral Response data

description: Satellite Spectral Response functions for a number of imaging sensors. Currently supports: Himawari-8 AHI GOES-16 ABI GOES-17 ABI NOAA AVHRR/1, AVHRR/2, AVHRR/3 Metop AVHRR/3 TIROS-N AVHRR/1 Envisat AATSR Sentinel-3A SLSTR Sentinel-3A OLCI - mean rsr Meteosat SEVIRI Terra/Aqua MODIS Suomi-NPP VIIRS JPSS-1 (NOAA-20) VIIRS Sentinel-2A MSI Sentinel-2B MSI Landsat-8 OLI HY-1C COCTS Metop-SG-A1 MetImage - multiple detectors Sentinel-3B OLCI - mean rsr FY-3D MERSI-2 FY-4A AGRI FY-3B VIRR FY-3C VIRR
description: The data are derived with Pyspectral from the original Agency specific Spectral response data using Pyspectral
DOI: 10.7910/dvn/5pnpkj/5aofz0
title: README-1.pdf

description: :unav
DOI: 10.7910/dvn/5pnpkj/9e3khh
title: Memory_vs_Size-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/ajkzx6
title: 1421716405858-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/clobfh
title: 1421724096603-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/i0j8ta
title: NBD4681_100K-1.out

description: :unav
DOI: 10.7910/dvn/5pnpkj/l4q5bv
title: a9108tc-1.cpp

description: :unav
DOI: 10.7910/dvn/5pnpkj/lbz4y0
title: Robustness_raw_Antibody-1.jpg

description: :unav
DOI: 10.7910/dvn/5pnpkj/nebl0o
title: correspondence-1.txt

description: :unav
DOI: 10.7910/dvn/5pnpkj/z6njx7
title: 1421720958216-1.tab

description: :unav
DOI: 10.15468/4veb40
title: Rubroshiraia gen. nov., a second hypocrellin-producing genus in Shiraiaceae (Pleosporales)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dai, Dong-Qin, Wijayawardene, Nalin N., Tang, Li-Zhou, Liu, Chao, Han, Li-Hong, Chu, Hong-Long, Wang, Hai-Bo, Liao, Chun-Fang, Yang, Er-Fu, Xu, Rui-Fang, Li, Yun-Min, Hyde, Kevin D., Bhat, D. Jayarama, Cannon, Paul F. (2019): Rubroshiraia gen. nov., a second hypocrellin-producing genus in Shiraiaceae (Pleosporales). MycoKeys 58: 1-26, DOI: http://dx.doi.org/10.3897/mycokeys.58.36723, URL: http://dx.doi.org/10.3897/mycokeys.58.36723
DOI: 10.25386/genetics.9368636.v3
title: Supplementary Material for Rohde et al., 2019

description: This supplementary dataset contains all supplementary information for manuscript "<i>Genetic Signatures of Drug Response Variability in Drosophila melanogaster</i>". Each file in described in Supplementary File S1.<br>In addition, DGRP genotypes, information on <i>Wolbachia</i> infection status, and chromosomal inversions can be accessed via the website http:dgrp2.gnets.ncsu.edu. The raw and normalized gene expression data of wild type flies are available at Gene Expression Omnibus under accession number GSE121643.
DOI: 10.5281/zenodo.3380371
title: Supplementary files to Mustafin et al manuscript submitted to Genes (MDPI)

description: Supplementary files to Mustafin et al manuscript submitted to Genes (MDPI)
DOI: 10.5281/zenodo.3380372
title: Supplementary files to Mustafin et al manuscript submitted to Genes (MDPI)

description: Supplementary files to Mustafin et al manuscript submitted to Genes (MDPI)
DOI: 10.5281/zenodo.3380544
title: Simplified Approach for Structural Evaluation of Flexible Pavements at the Network Level

description: Corresponding data set for Tran-SET Project No. 17PUTA02. Abstract of the final report is stated below for reference: "Currently, there are few available simple procedures to identify structurally weak pavement sections utilizing Falling Weight Deflectometer (FWD) data at the network level (e.g., city, state or province). A simple method is required to determine the structural condition of pavement sections that can be directly implemented and automated in current pavement databases. The objective of this research study is to develop a simple analysis method to determine the structural condition of pavement sections utilizing the currently available non-destructive testing (NDT) deflection measurement devices at the network level that can be directly implemented and automated in the database of a typical transportation agency. In addition, the study had conducted an advanced mechanistic analysis to mimic the FWD deflection bowl obtained from the field. The developed structural condition parameters can be easily implemented in pavement management systems (PMS). This will aid Departments of Transportation (DOTs) and local highway agencies to make more informed decisions about the most suitable maintenance and rehabilitation strategies. Those parameters were also utilized to predict the remaining fatigue lives of the studied pavement sections."
description: Tran-SET Project No. 17PUTA02
DOI: 10.5519/qd.ash17qsh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.7910/dvn/3hdsm8/fkpmak
title: Partisan_Ties_of_Lobbying_Firms_2019-08-27.R

description: R Script File
DOI: 10.7910/dvn/5pnpkj/0xuckb
title: NBD5273_100K_2-1.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/2wv88k
title: 1421724139896-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/bgl2nr
title: 1421706193863-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/drvxzr
title: 1421709798098-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/hkzuze
title: NBD5146_10K_1-1.json

description: :unav
DOI: 10.7910/dvn/5pnpkj/irlbel
title: culun-1.txt

description: :unav
DOI: 10.7910/dvn/5pnpkj/k7ttur
title: SLAVES-1.sample

description: :unav
DOI: 10.7910/dvn/5pnpkj/rm0bur
title: TestNames-1.tab

description: :unav
DOI: 10.7910/dvn/5pnpkj/rsetf8
title: 1421706193655-1.tab

description: :unav
DOI: 10.15468/tnwacp
title: Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration

description: This dataset contains the digitized treatments in Plazi based on the original journal article Collins, Nancy, Gonzalez, Isabel Margarita Coronado, Govaerts, Bruno Victor Alfons (2019): Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28 (2): 137-143, DOI: http://dx.doi.org/10.3897/jor.28.33781, URL: http://dx.doi.org/10.3897/jor.28.33781
DOI: 10.5281/zenodo.3380545
title: Investigating Problem of Distracted Drivers on Louisiana Roadways

description: Corresponding data set for Tran-SET Project No. 17SALSU10. Abstract of the final report is stated below for reference: "Due to the escalating usage of cellphone and social networking, distracted driving is and will remain as one of the most serious problems faced by Departments of Transportation (DOTs) and law enforcement agencies. Under the aim of in-depth investigation of distracted driving crashes in Louisiana, the specific objectives of this study are: (1) reviewing the crash reports for the quality of distracted driving crash reporting, (2) analyzing distracted driving-related crashes through regression model and data mining algorithm to link the severity of distracted driving crashes with the contributing factors collected in crash data, (3) investigating the observable characteristics of distracted driving roadside and video survey, and (4) recommending the countermeasures utilizing the analysis results and reviews. About 60,000 crashes from ten-year crash data, three types of distracted driving related crashes are modeled: Fatal (K) and Severe (A) Injury; Moderate (B) and Complaint (C) Injury; and Property-damage only (PDO). One statistical method was used for prediction, multinomial logistic regression, and one data mining algorithms was used, random forest. Higher speed limit, curved road, head-on crashes were identified among the key factors. Data mining algorithms performed better in prediction compared to the multinomial logistic regression when sensitivity and specificity were used to compare the predicted results. Fisher’s exact tests of roadside manual observation data shows that gender has no significant influence in cellphone distraction (regardless of distraction type), however age can be influential and associated with driver distraction. Association rule mining of observation data shows that the most predominant type of cellphone use is manipulating mainly occurs at intersections, whereas talking is more associated with segments. In-vehicle video data were coded by the software FaceReader, which captures facial expressions of drivers while driving. Initial results do suggest valence in emotion can be attributed to timing before, during, and after cellphone calls and texting. Physical countermeasure development towards reducing the distraction-related crash severity should be targeted at preventing lane departure crashes. Physical countermeasure development towards reducing the distraction-related crash severity should be targeted at preventing lane departure crashes. Strict enforcement of texting ban with awareness campaign are also expected to prevent distracted driving."
description: Tran-SET Project No. 17SALSU10