cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16540317.v2
title: Scheduling in a no-wait flow shop to minimise total earliness and tardiness with additional idle time allowed

description: Scheduling jobs in a no-wait flow shop with the objective of minimising total earliness and tardiness is the problem addressed in this paper. Idle time may be needed on the first machine due to the no-wait restriction. A model is developed that shows additional idle can be inserted on the first machine to help reduce earliness. Several dispatching heuristics previously used in other environments were modified and tested. A two-phased procedure was also developed, estimating additional idle in the first phase, and applying dispatching heuristics in the second phase. Several versions of an insertion improvement procedure were also developed. The procedures are tested on instances of various sizes and due date tightness and range. The results show the two-phase heuristics are more effective than the simple rules, and the insertion search improvement procedure can provide considerable improvements.
DOI: 10.6084/m9.figshare.16540317.v1
title: Scheduling in a no-wait flow shop to minimise total earliness and tardiness with additional idle time allowed

description: Scheduling jobs in a no-wait flow shop with the objective of minimising total earliness and tardiness is the problem addressed in this paper. Idle time may be needed on the first machine due to the no-wait restriction. A model is developed that shows additional idle can be inserted on the first machine to help reduce earliness. Several dispatching heuristics previously used in other environments were modified and tested. A two-phased procedure was also developed, estimating additional idle in the first phase, and applying dispatching heuristics in the second phase. Several versions of an insertion improvement procedure were also developed. The procedures are tested on instances of various sizes and due date tightness and range. The results show the two-phase heuristics are more effective than the simple rules, and the insertion search improvement procedure can provide considerable improvements.
DOI: 10.21223/oicqa8/bnk7lk
title: 01_Yield-data.tab

description: :unav
DOI: 10.21223/oicqa8/qh3cjh
title: 02_COMBINED_MEANS.tab

description: :unav
DOI: 10.21223/oicqa8/fdd4bf
title: 03_2YR COMBINED MEANS.tab

description: :unav
DOI: 10.21223/oicqa8/ncfwil
title: 04_Stability.tab

description: :unav
DOI: 10.6084/m9.figshare.16992223
title: Data For Forum Participation Analysis

description: All of the data files (.csv) required for the Forum Navigation analysis. Includes an actor-actor edgelist, an actor-forum edgelist, an actor-issue edgelist, a forum-issue edgelist, an issue-issue matrix, an isolates dataset, an actor attributes data frame (actor_orgtype.csv) and a forum attributes data frame (ForumSponsorship.csv).
DOI: 10.6084/m9.figshare.16992223.v3
title: Data For Forum Participation Analysis

description: All of the data files (.csv) required for the Forum Navigation analysis. Includes an actor-actor edgelist, an actor-forum edgelist, an actor-issue edgelist, a forum-issue edgelist, an issue-issue matrix, an isolates dataset, an actor attributes data frame (actor_orgtype.csv) and a forum attributes data frame (ForumSponsorship.csv).
DOI: 10.6084/m9.figshare.16992223.v2
title: Data For Forum Navigation Analysis

description: All of the data files (.csv) required for the Forum Navigation analysis. Includes an actor-actor edgelist, an actor-forum edgelist, an actor-issue edgelist, a forum-issue edgelist, an issue-issue matrix, an isolates dataset, an actor attributes data frame (actor_orgtype.csv) and a forum attributes data frame (ForumSponsorship.csv).
DOI: 10.6084/m9.figshare.21122671.v1
title: ecitoglossa_quadriceps_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21122671
title: ecitoglossa_quadriceps_zanfona_1.fasta.gz

description: ........
DOI: 10.5281/zenodo.6977303
title: High resolution spectra of the spinning-top Be star Achernar

description: Achernar, the closest and brightest classical Be star, presents rotational flattening, gravity darkening, occasional emission lines due to a gaseous disk, and an extended polar wind. It is also a member of a close binary system with an early A-type dwarf companion. We aim to determine the orbital parameters of the Achernar system and to estimate the physical properties of the components. We monitored the relative position of Achernar B using a broad range of high angular resolution instruments of the VLT/VLTI over a period of 13 years (2006-2019). These astrometric observations are complemented with a series of more than 700 optical spectra for the period from 2003 to 2016. The present dataset contains the high resolution spectra of Achernar that were included in our study. They were collected using the BESO, BeSS, CHIRON, CORALIE, FEROS, HARPS, PUCHEROS, and UVES instruments. The spectra are provided in the form of standard FITS files, with the continuum flux normalized to unity.
DOI: 10.5281/zenodo.6977302
title: High resolution spectra of the spinning-top Be star Achernar

description: Achernar, the closest and brightest classical Be star, presents rotational flattening, gravity darkening, occasional emission lines due to a gaseous disk, and an extended polar wind. It is also a member of a close binary system with an early A-type dwarf companion. We aim to determine the orbital parameters of the Achernar system and to estimate the physical properties of the components. We monitored the relative position of Achernar B using a broad range of high angular resolution instruments of the VLT/VLTI over a period of 13 years (2006-2019). These astrometric observations are complemented with a series of more than 700 optical spectra for the period from 2003 to 2016. The present dataset contains the high resolution spectra of Achernar that were included in our study. They were collected using the BESO, BeSS, CHIRON, CORALIE, FEROS, HARPS, PUCHEROS, and UVES instruments. The spectra are provided in the form of standard FITS files, with the continuum flux normalized to unity.
DOI: 10.34729/cta9-fj06
title: Harmonized MHAS End of Life, Version B
DOI: 10.6084/m9.figshare.21113671.v4
title: metadata

description: Metadata- ITS 16S Assembly Experiment
DOI: 10.6084/m9.figshare.21113671.v5
title: metadata

description: Metadata- ITS 16S Assembly Experiment
DOI: 10.17909/wf64-kq10
title: WISE + Pan-STARRS1 Source Types and Redshifts with Machine Learning (WISE-PS1-STRM)

description: WISE-PS1-STRM is a neural network source classification and photometric redshift catalog extracted from a cross-match between the WISE All-Sky and PS1 3π DR2 source catalogs. The resulting catalog has 354,590,570 objects, significantly fewer than the parent PS1 catalog, but its combination of optical and infrared colors facilitate both better source classification and photometric redshift estimation. A neural network classified objects into galaxies, quasars, and stars, then another network estimated photometric redshifts for the galaxies. The star sample purity and quasar sample completeness measures improve substantially, and the resulting photo-z ’s are significantly more accurate in terms of statistical scatter and bias than those calculated from PS1 properties alone. See the README file and the primary reference paper for a detailed description of the catalog metadata.
DOI: 10.5517/ccdc.csd.cc2bwsxy
title: CCDC 2171671: Experimental Crystal Structure Determination

description: Related Article: Khush K. Patel, Brandon S. Flores, Kyana M. Sanders, Ilia A. Guzei|2022|CSD Communication|||
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.cc2bxbp9
title: CCDC 2172191: Experimental Crystal Structure Determination

description: Related Article: Julie H. Snook, Bruce M. Foxman|2022|CSD Communication|||
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.cc2b6kvz
title: CCDC 2151271: Experimental Crystal Structure Determination

description: Related Article: Nilanjana Sen, Prachi Gothe, Pallavi Sarkar, Shubhajit Das, Srinu Tothadi, Swapan K. Pati, Shabana Khan|2022|Chem.Commun.|58|10380|doi:10.1039/D2CC03158B
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.cc2cmynm
title: CCDC 2193921: Experimental Crystal Structure Determination

description: Related Article: Nilanjana Sen, Prachi Gothe, Pallavi Sarkar, Shubhajit Das, Srinu Tothadi, Swapan K. Pati, Shabana Khan|2022|Chem.Commun.|58|10380|doi:10.1039/D2CC03158B
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.cc29xc1n
title: CCDC 2142411: Experimental Crystal Structure Determination

description: Related Article: Xian-Jiang Song, Shu-Yu Tang, Xiao-Gang Chen, Yong Ai|2022|Chem.Commun.|58|10361|doi:10.1039/D2CC03881A
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.cc29xc2p
title: CCDC 2142412: Experimental Crystal Structure Determination

description: Related Article: Xian-Jiang Song, Shu-Yu Tang, Xiao-Gang Chen, Yong Ai|2022|Chem.Commun.|58|10361|doi:10.1039/D2CC03881A
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.cc29xbzk
title: CCDC 2142409: Experimental Crystal Structure Determination

description: Related Article: Xian-Jiang Song, Shu-Yu Tang, Xiao-Gang Chen, Yong Ai|2022|Chem.Commun.|58|10361|doi:10.1039/D2CC03881A
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.cc29xc0m
title: CCDC 2142410: Experimental Crystal Structure Determination

description: Related Article: Xian-Jiang Song, Shu-Yu Tang, Xiao-Gang Chen, Yong Ai|2022|Chem.Commun.|58|10361|doi:10.1039/D2CC03881A
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: 10.5281/zenodo.7082486
title: Hash data files for "Hashes are not suitable to verify fixity of the public archived web"

description: This work investigates the fixity of a set of archived webpages, or mementos. We conducted a study on 16,627 mementos from 17 public web archives. We replayed and downloaded the mementos 39 times using a headless browser over a period of 442 days and generated a hash for each memento after each download, resulting in 39 hashes per memento. The hashes were generated by creating Merkle trees to represent hashes at each level of the memento. A hash was generated for each resource used to construct the full webpage and then the hashes were combined to generate an overall hash for the composite memento. There are 39 data files, one for each download. The mementos downloaded come from the dataset at https://github.com/oduwsdl/mementos-fixity/
DOI: 10.5281/zenodo.7082485
title: Hash data files for "Hashes are not suitable to verify fixity of the public archived web"

description: This work investigates the fixity of a set of archived webpages, or mementos. We conducted a study on 16,627 mementos from 17 public web archives. We replayed and downloaded the mementos 39 times using a headless browser over a period of 442 days and generated a hash for each memento after each download, resulting in 39 hashes per memento. The hashes were generated by creating Merkle trees to represent hashes at each level of the memento. A hash was generated for each resource used to construct the full webpage and then the hashes were combined to generate an overall hash for the composite memento. There are 39 data files, one for each download. The mementos downloaded come from the dataset at https://github.com/oduwsdl/mementos-fixity/
DOI: 10.6084/m9.figshare.20102945
title: Benchmark dataset of US-align2

description: USalign.zip - US-align version 20220606 used for the alignment benchmark. <br> RIPC.zip - 20 reference alignments from the RIPC dataset and corresponding protein PDB files. <br> fold.zip - 954 SCOPe protein domain structures and their corresponding SCOPe 2.08 fold. <br> Rfam.zip - PDB files for 508 RNA chains and their Rfam 14.8 famillies.
DOI: 10.6084/m9.figshare.20102945.v1
title: Benchmark dataset of US-align NS

description: USalign.zip - US-align version 20220606 used for the alignment benchmark. <br> RIPC.zip - 20 reference alignments from the RIPC dataset and corresponding protein PDB files. <br> Rfam.zip - PDB files for 508 RNA chains and their Rfam 14.8 famillies.
DOI: 10.18112/openneuro.ds004265.v1.0.1
title: Development of MRgFUS system for precision-targeted neuromodulation of pain circuits with simultaneous functional MRI. We provide two category of fMRI data acquired using different stimulus paradigms i.e., Two and three-stimulus condition EPI data 1) Heat Heat+FUS (sub-01-03, 20-runs) and 2) Heat, Heat+FUS FUS (sub-0405). FUS was applied to the VPL nuclei located in the Thalamus during simultaneous Heat+FUS and FUS only conditions where total acquisition time was 674 and 996 seconds for the two and three-condition data. Alternate Heat and Heat+FUS was presented in the former data set for 16s followed by 30s rest. Stimulus on time for both conditions are Heat: 30 122 214 306 398 490 582sec and Heat+FUS: 76 168 260 352 444 536 628sec. However, 3-conditions data was acquired using a randomized stimulus paradigm where stimulus presentation timings are as follows. Heat: 30 168 398 490 628 812 858sec., Heat+FUS: 76 260 306 444 674 766 904sec. and FUS: 122 214 352 536 582 720 950sec. With TR = 2.0secs an ascending and interleaved slice timing acquisition protocol was followed to acquire EPI data
DOI: 10.6084/m9.figshare.21125797
title: Table 2. References analyzed in the systematic review of the literature

description: References analyzed in the systematic review of the literature
DOI: 10.6084/m9.figshare.21125842.v1
title: Table 3-Relationship of frame of references, dimensions and studies that use them

description: Relationship of frame of references, dimensions and studies that use them
DOI: 10.6084/m9.figshare.21125842
title: Table 3-Relationship of frame of references, dimensions and studies that use them

description: Relationship of frame of references, dimensions and studies that use them
DOI: 10.13020/40nt-y081
title: Scratch test results for Bonne Terre dolomite

description: This dataset contains cutting force signals, videos of rock cutting processes, particle size distribution from sieving analysis obtained from scratch tests conducted on Bonne Terre dolomite at different depths of cut, which cover the rock failure in ductile, fragmentation and brittle regimes. The force signals and videos can be used to study the rock failure mechanism and energy scaling in the rock cutting process.
description: These experimental data from scratch tests on Bonne Terre dolomite consists of video files and force signal files. Both the force signals and videos files are from two rounds of scratch tests.
DOI: 10.25921/qzcz-ym27
title: ES60 Water Column Sonar Data Collected During EBS14AK
DOI: 10.6084/m9.figshare.21113005
title: Average hourly traffic volumes in each state

description: Traffic volumes were pre-processed to calculate average hourly traffic volumes in each state for each of the years 2013-2019. Data were originally downloaded at the level of individual traffic stations from the Office of Highway Policy Information (https://www.fhwa.dot.gov/policyinformation/tables/tmasdata/#y19)
DOI: 10.6084/m9.figshare.21113005.v1
title: Average hourly traffic volumes in each state

description: Traffic volumes were pre-processed to calculate average hourly traffic volumes in each state for each of the years 2013-2019. Data were originally downloaded at the level of individual traffic stations from the Office of Highway Policy Information (https://www.fhwa.dot.gov/policyinformation/tables/tmasdata/#y19)
DOI: 10.5519/qd.57keey4u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (638 records)
DOI: 10.6084/m9.figshare.21112903
title: Deer-vehicle collision data for 23 states of the United States

description: Deer-vehicle collision data for 23 states of the USA, used in Cunningham et al (2022) "Permanent daylight saving time would reduce deer-vehicle collisions". <em>Current Biology.</em> Identical data provided as .rds and .csv formats. Data were provided by state Departments of Transportation or the Highway Safety Information System. The timing of collisions was either recorded exactly or in one-hour bins (centered). Data is at county-level resolution. "lat_CountyCentroid" and "long_CountyCentroid" refer to the centroid of a given county, whereas "Latitude" and "Longitude" denote the exact location of the collision (when provided). While we refer to the dataset as deer-vehicle collisions in the paper because &gt;90% of reported collisions in the US are with deer, we note that a small proportion of collisions in this dataset are with species other than deer.
DOI: 10.6084/m9.figshare.21112789
title: Spatial and predictor variables used in analysis of deer-vehicle collisions

description: Spatial and predictor variables used in analysis of deer-vehicle collisions and daylight saving time: 1) shapefilie of counties of the US, with covariates already extracted (mean NPP, total NPP, built-up proportion); 2) shapefile of the Great Lakes, used for masking non-habitat; 3) US census estimates of human population size in each county; 4) State Farm estimates of DVCs and registered drivers in 2021; 5) Sunrise and sunset times for US counties.
DOI: 10.6084/m9.figshare.21112789.v1
title: Spatial and predictor variables used in analysis of deer-vehicle collisions

description: Spatial and predictor variables used in analysis of deer-vehicle collisions and daylight saving time: 1) shapefilie of counties of the US, with covariates already extracted (mean NPP, total NPP, built-up proportion); 2) shapefile of the Great Lakes, used for masking non-habitat; 3) US census estimates of human population size in each county; 4) State Farm estimates of DVCs and registered drivers in 2021; 5) Sunrise and sunset times for US counties.
DOI: 10.5281/zenodo.7070822
title: KRAgamma cosmic-ray diffusion models

description: These files contain the "KRAgamma" models for the the diffuse gamma-ray maps due to to pi0, Inverse Compton and Bremsstrahlung emission associated to the Galactic cosmic-ray population. The Galactic cosmic-ray sea is propagated in the Galaxy with the DRAGON code, according to the transport setup described in arXiv:1411.7623. The properties of the multi-TeV gamma-ray emission of the KRAgamma models are described in 1504.00227.
DOI: 10.6084/m9.figshare.21126009
title: Data Code for DRST from Developmental risk sensitivity theory: the effects of socio-economic status on children's risky gain and loss decisions

description: data file (csv) and R code
DOI: 10.6084/m9.figshare.21126009.v1
title: Data Code for DRST from Developmental risk sensitivity theory: the effects of socio-economic status on children's risky gain and loss decisions

description: data file (csv) and R code
DOI: 10.5281/zenodo.7083281
title: Test for thesis supplements

description: Test for thesis. The following supplemental files can be downloaded here: Test.txt
DOI: 10.5281/zenodo.7083280
title: Test for thesis supplements

description: Test for thesis. The following supplemental files can be downloaded here: Test.txt
DOI: 10.25318/9810021901-eng
title: Mother tongue by age: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on mother tongue by age for the population excluding institutional residents of Canada, provinces, territories, census metropolitan areas and census agglomerations.
DOI: 10.25318/9810021901-fra
title: Langue maternelle selon l’âge : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur la langue maternelle selon l’âge pour Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement.
DOI: 10.5281/zenodo.6624354
title: Wikipedia Gene Ontology Annotations (WikiGOA)

description: Gene Ontology Annotation gene sets obtained via Wikidata. Gene Ontology terms with English Wikipedia pages were obtained from Wikidata using the SPARQL query language via the Wikidata Query Service: https://w.wiki/5DsS Gene Ontology Annotations were obtained indirectly from the UniProt-GoA database (https://www.ebi.ac.uk/GOA/publications) via mappings on Wikidata done by the ProteinBoxBot (https://elifesciences.org/articles/52614) <br> <br> T.L. is funded by grant #2019/26284-1 from the São Paulo Research Foundation (FAPESP). T.L.D. is funded by grant from VSV-EBOPLUS Consortium.
DOI: 10.5281/zenodo.6624353
title: Wikipedia Gene Ontology Annotations (WikiGOA)

description: Gene Ontology Annotation gene sets obtained via Wikidata. Gene Ontology terms with English Wikipedia pages were obtained from Wikidata using the SPARQL query language via the Wikidata Query Service: https://w.wiki/5DsS Gene Ontology Annotations were obtained indirectly from the UniProt-GoA database (https://www.ebi.ac.uk/GOA/publications) via mappings on Wikidata done by the ProteinBoxBot (https://elifesciences.org/articles/52614) <br> <br> T.L. is funded by grant #2019/26284-1 from the São Paulo Research Foundation (FAPESP). T.L.D. is funded by grant from VSV-EBOPLUS Consortium.