cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1zcn00
title: CCDC 1828442: Experimental Crystal Structure Determination

description: Related Article: J.E. Niklas, E.A. Hiti, G.R. Wilkinson, J.T. Mayhugh, J.D. Gorden, A.E.V. Gorden|2022|Inorg.Chim.Acta|529|120653|doi:10.1016/j.ica.2021.120653
description: Related Article: Nicholas Klann, Jacob Mayhugh, John Gorden, Anne Gorden|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27ztln
title: CCDC 2085202: Experimental Crystal Structure Determination

description: Related Article: Yan-Ning Wang, Shao-Dan Wang, Shu-Qin Lu, Fan Wang, Guo-Dong Zou, Hui-Qiao Liu, Kang-Zhe Cao, Peng-Hui Dong, Wen-Qian Dou|2022|Inorg.Chim.Acta|529|120666|doi:10.1016/j.ica.2021.120666
DOI: 10.5517/ccdc.csd.cc284ylz
title: CCDC 2090131: Experimental Crystal Structure Determination

description: Related Article: Esther S. Areas, Henrique C.S. Junior, Brunno P. Freitas, Glaucio B. Ferreira, Guilherme P. Guedes|2022|Inorg.Chim.Acta|529|120664|doi:10.1016/j.ica.2021.120664
DOI: 10.5517/ccdc.csd.cc284ym0
title: CCDC 2090132: Experimental Crystal Structure Determination

description: Related Article: Esther S. Areas, Henrique C.S. Junior, Brunno P. Freitas, Glaucio B. Ferreira, Guilherme P. Guedes|2022|Inorg.Chim.Acta|529|120664|doi:10.1016/j.ica.2021.120664
DOI: 10.5517/ccdc.csd.cc2850t9
title: CCDC 2090200: Experimental Crystal Structure Determination

description: Related Article: Kangsan Hong, Sangwoo Lim, Heehun Moon, Dongwon Kim, Dongwook Kim, Ok-Sang Jung|2021|Dalton Trans.|50|14547|doi:10.1039/D1DT03115E
DOI: 10.5517/ccdc.csd.cc28rp7z
title: CCDC 2108131: Experimental Crystal Structure Determination

description: Related Article: Jinhui Shen, Aimin Yu, Xiangtai Meng|2021|Org.Biomol.Chem.|19|9026|doi:10.1039/D1OB01749G
DOI: 10.7278/s50d-be9d-yp2c
title: Dataset for: Influence of face shields on exposures to respirable aerosol
DOI: 10.5281/zenodo.5604516
title: DIAeT - Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees

description: Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees
DOI: 10.5281/zenodo.5604515
title: DIAeT - Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees

description: Synthesizing Evidence from Clinical Trials with Dynamic Interactive Argument Trees
DOI: 10.6084/m9.figshare.16887919.v1
title: deepFlashLeftT1Hierarchical.h5

description: weights for segmentation using deep flash using t1
DOI: 10.6084/m9.figshare.16887916.v1
title: deepFlashRightBothHierarchical.h5

description: weights for segmentation using deep flash using t1 and t2<br>
DOI: 10.6084/m9.figshare.16887919
title: deepFlashLeftT1Hierarchical.h5

description: weights for segmentation using deep flash using t1
DOI: 10.6084/m9.figshare.16887916
title: deepFlashRightBothHierarchical.h5

description: weights for segmentation using deep flash using t1 and t2<br>
DOI: 10.5281/zenodo.5604521
title: raw behavioral and fMRI data for a genuine-and-pretended disgust task

description: Raw behavioral and fMRI data for a genuine-and-pretended disgust task.<br>
DOI: 10.15468/p46ht9
title: First discovery and a new species of Coelogynopora (Platyhelminthes, Proseriata) in the Southern Hemisphere

description: This dataset contains the digitized treatments in Plazi based on the original journal article Volonterio, Odile, León, Rodrigo Ponce De (2021): First discovery and a new species of Coelogynopora (Platyhelminthes, Proseriata) in the Southern Hemisphere. European Journal of Taxonomy 775: 185-196, DOI: https://doi.org/10.5852/ejt.2021.775.1557
DOI: 10.6073/pasta/479a35c413c9b70cd77d3d88478d0c78
title: Herbivore dung and parasite counts, Ol Pejeta Conservancy and Mpala Research Centre, Kenya (2015-2018)

description: Data package contains two datasets of dung surveys, one dataset of parasite egg measurements, and two camera trap datasets collected from Mpala Research Centre and Ol Pejeta Conservancy, Laikipia County, Kenya from November 2015-September 2018. Datasets are provided as part of the publication `Watering sources aggregate parasites with increasing effects in more arid conditions`. Source data files for figures in the manuscript are also provided here.
DOI: 10.5281/zenodo.5604882
title: Parcel Manager data set

description: Data contained in this repository can be used for replicating the two use cases of Parcel Manager software application presented in the paper (Colomb et al., 2021, submitted). The first use case enables the simulation of a scenario called <em>test scenario</em> designed specifically to test different parcel division processes and workflows with Parcel Manager. The area under study is a small community (Gennes, 681 inhabitants) located in the east of France. Data used are from the French IGN BD Topo 2018. The second use case enables the comparison of the shape of parcels created by simulation with the shape of parcels in real cases. The comparison concerns the parcel plans in 2003 and 2018 of 11 communities of the Seine-et-Marne department, near Paris capital city (France). Data for 2018 are from the French IGN BD Topo 2018. They have been cleaned manually as follows: removing parcels that represent driveways or roads which could be used by residential parcels, – removing the tiny parcels resulting from a former division process and that could prevent the access to roads of neighbouring parcels, removing parcels located on water surfaces or railways, removing roads of type ’trails’ and ’stairs’. Parcel data for 2003 are from the IGN BD-Parcellaire 2003. Building and road data come from the IGN BD-Topo 2005. The cleaning results of the 2018 parcel plan have been copied into the 2003 parcel plan. The road network encompasses every types of paths that are accessible with a car. Driveways are small paths for cars that connect a house to the road network. Driveways are included in parcels and are not considered as a proper road. Gravel roads are non-asphalted trails. They can occasionally be used by cars. Their level of attraction is low (level 2). Lanes are small roads dedicated to house access. Their level of attraction is maximal (level 4). Note that peripheral roads created with the straight skeleton algorithm are classified as lanes. Streets are roads that connect lanes. Their level of attraction is high (level 3). Arterial roads are high-speed roads connecting communities. Their level of attraction for parcel contact is minimal (level 1). In the data set created for the <em>t</em><em>est Scenario</em>, the road layer has been manually enriched: missing trails and lanes have been added; type and level of attraction of some road segments have been changed.
description: Steps to reproduce : Run corresponding classes in the package useCase of Parcel Manager: https://framagit.org/artiscales/parcelmanager/-/tree/v1.0 You can also use the GUI: https://framagit.org/artiscales/parcelmanagergui/-/tree/v1.0
DOI: 10.5281/zenodo.5604881
title: Parcel Manager data set

description: Data contained in this repository can be used for replicating the two use cases of Parcel Manager software application presented in the paper (Colomb et al., 2021, submitted). The first use case enables the simulation of a scenario called <em>test scenario</em> designed specifically to test different parcel division processes and workflows with Parcel Manager. The area under study is a small community (Gennes, 681 inhabitants) located in the east of France. Data used are from the French IGN BD Topo 2018. The second use case enables the comparison of the shape of parcels created by simulation with the shape of parcels in real cases. The comparison concerns the parcel plans in 2003 and 2018 of 11 communities of the Seine-et-Marne department, near Paris capital city (France). Data for 2018 are from the French IGN BD Topo 2018. They have been cleaned manually as follows: removing parcels that represent driveways or roads which could be used by residential parcels, – removing the tiny parcels resulting from a former division process and that could prevent the access to roads of neighbouring parcels, removing parcels located on water surfaces or railways, removing roads of type ’trails’ and ’stairs’. Parcel data for 2003 are from the IGN BD-Parcellaire 2003. Building and road data come from the IGN BD-Topo 2005. The cleaning results of the 2018 parcel plan have been copied into the 2003 parcel plan. The road network encompasses every types of paths that are accessible with a car. Driveways are small paths for cars that connect a house to the road network. Driveways are included in parcels and are not considered as a proper road. Gravel roads are non-asphalted trails. They can occasionally be used by cars. Their level of attraction is low (level 2). Lanes are small roads dedicated to house access. Their level of attraction is maximal (level 4). Note that peripheral roads created with the straight skeleton algorithm are classified as lanes. Streets are roads that connect lanes. Their level of attraction is high (level 3). Arterial roads are high-speed roads connecting communities. Their level of attraction for parcel contact is minimal (level 1). In the data set created for the <em>t</em><em>est Scenario</em>, the road layer has been manually enriched: missing trails and lanes have been added; type and level of attraction of some road segments have been changed.
description: Steps to reproduce : Run corresponding classes in the package useCase of Parcel Manager: https://framagit.org/artiscales/parcelmanager/-/tree/v1.0 You can also use the GUI: https://framagit.org/artiscales/parcelmanagergui/-/tree/v1.0
DOI: 10.5281/zenodo.5604692
title: Brustiarius proximus RB0375 NOVOGENE decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5604691
title: Brustiarius proximus RB0375 NOVOGENE decontaminated FSCR

description: .
DOI: 10.15139/s3/z89tqh
title: Online job listings

description: This extract lists job postings scraped from the web by Greenwich HR, a human resources intelligence company from the beginning of 2020. According to the company, the data represents more than 70% of the official job listings across various sectors. Raw extract files are obtained weekly from Greenwich HR in .part_00000 files which are read as tables. The extract contain information on company, job details, SIC and NAICS codes, post timestamp, skills sought, etc. SIC codes obtained in the extract are converted to 2 digit NAICS codes by selecting the first two digits and joining with two digits NAICS codes based on [SIC-NAICS crosswalk search results](https://www.naics.com/sic-naics-crosswalk-search-results). Data is aggregated weekly by counties and categorized according to two digit NAICS codes whenever possible. Change in number of listings is based on year on year values compared with weeks beginning the first day of each year. The data was also joined to county-wise montly employment data from Bureau of Labor Statistics.
DOI: 10.15139/s3/hb2fh2
title: Small businesses open

description: This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020. Temporal and spatial resolution The data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average. Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.
DOI: 10.5281/zenodo.5604940
title: IODP Expedition 320, Hole U1331A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320: Pacific Equatorial Age Transect 1
DOI: 10.5281/zenodo.5604939
title: IODP Expedition 320, Hole U1331A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320: Pacific Equatorial Age Transect 1
DOI: 10.5519/qd.dnvxai1u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5281/zenodo.5604948
title: IODP Expedition 320, Hole U1332A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320: Pacific Equatorial Age Transect 1
DOI: 10.5281/zenodo.5604947
title: IODP Expedition 320, Hole U1332A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320: Pacific Equatorial Age Transect 1
DOI: 10.5281/zenodo.5604921
title: Brustiarius solidus AUM 47635 decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5604920
title: Brustiarius solidus AUM 47635 decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5604952
title: IODP Expedition 320T, Hole U1330A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320T: SODV Sea Trials and Transit
DOI: 10.5281/zenodo.5604951
title: IODP Expedition 320T, Hole U1330A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 320T: SODV Sea Trials and Transit
DOI: 10.5517/ccdc.csd.cc28fzpd
title: CCDC 2098814: Experimental Crystal Structure Determination

description: Related Article: Yexia Cao, Huiqing Li, Aiping Yin|2022|Inorg.Chim.Acta|529|120658|doi:10.1016/j.ica.2021.120658
DOI: 10.6084/m9.figshare.16890529
title: Weaknesses in Experimental Design and Reporting Decrease the Likelihood of Reproducibility and Generalization of Recent Cardiovascular Research

description: These data are supplemental to the publication and list the articles that were analyzed.
DOI: 10.6084/m9.figshare.16890529.v1
title: Weaknesses in Experimental Design and Reporting Decrease the Likelihood of Reproducibility and Generalization of Recent Cardiovascular Research

description: These data are supplemental to the publication and list the articles that were analyzed.
DOI: 10.6084/m9.figshare.12482345.v7
title: Nitrate, Chloride & Total Hardness Data by Section and/or Town-Range, Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI

description: Nitrate, Chloride and Total Hardness data for private wells collected in the Wisconsin area. The data provides the average of nitrate(mg/L), chloride (mg/L), total hardness (mg/L) per Section and/or Town-Range in the state of Wisconsin. Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI.
DOI: 10.25345/c5ts0w
title: MassIVE MSV000088272 - Proteome-wide cross-linking mass spectrometry of TBEV-host interactions
title: Crosslinking mass spectrometry of the tick-borne encephalitis virus to human neuroblastoma cells for ifdentification of virus-host interactions
DOI: 10.6084/m9.figshare.16890541
title: Dataset: Reaney et al. Information about foot care provided to people with diabetes with or without their partners

description: Dataset from Reaney et al. Information about foot care provided to people with diabetes with or without their partners: Impact on recommended foot care behavior.
DOI: 10.6084/m9.figshare.16890544
title: Weaknesses in Experimental Design and Reporting Decrease the Likelihood of Reproducibility and Generalization of Recent Cardiovascular Research

description: These spreadsheets list the articles used for data analysis in the publication.
DOI: 10.6084/m9.figshare.16890544.v1
title: Weaknesses in Experimental Design and Reporting Decrease the Likelihood of Reproducibility and Generalization of Recent Cardiovascular Research

description: These spreadsheets list the articles used for data analysis in the publication.
DOI: 10.18430/m37siq
title: X-ray diffraction data for the crystal structure of a peptide chain release factor 3 (prfC) from Stenotrophomonas maltophilia bound to GDP (7SIQ)
DOI: 10.18430/m37sbj
title: X-ray diffraction data for the crystal Structure of Ribulose-phosphate 3-epimerase from Stenotrophomonas maltophilia K279a (7SBJ)
DOI: 10.6084/m9.figshare.14531349
title: Assessing COVID-induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi-source analytical framework.

description: Dataset for upcoming publication in IJGIS<br>
DOI: 10.5281/zenodo.845737
title: Intermittent Slip Along the Alto Tiberina Low-Angle Normal Fault in Central Italy

description: Small magnitude events have regularly shaken the 50-km-long Alto Tiberina low-angle normal fault (ATF) in central Italy. Above it, few kilometers long syn- and antithetic higher-angle normal faults were active with many moderate seismic sequences and 10 times more events than ATF between 2010 and 2014. To better understand the fault system interaction, we apply a technique for finding events which match predefined templates to improve the ATF seismic catalog. The results indicate that productive sequences in the shallower high-angle faults often hamper the detection of microseismicity along with the ATF and that events are released at intermittent rates. Moreover, the seismic activity is mainly organized in clusters of small earthquakes lasting days or months with no identifiable mainshock. These clusters span a 30-km-long segment and coincide with transient deformation recorded at the end of 2013.
description: Template matching catalog
description: {"references": ["Vuan et al., 2020 - Intermittent Slip Along the Alto Tiberina Low-Angle Normal Fault in Central Italy - https://doi.org/10.1029/2020GL089039"]}
DOI: 10.5281/zenodo.845736
title: Intermittent Slip Along the Alto Tiberina Low-Angle Normal Fault in Central Italy

description: Small magnitude events have regularly shaken the 50-km-long Alto Tiberina low-angle normal fault (ATF) in central Italy. Above it, few kilometers long syn- and antithetic higher-angle normal faults were active with many moderate seismic sequences and 10 times more events than ATF between 2010 and 2014. To better understand the fault system interaction, we apply a technique for finding events which match predefined templates to improve the ATF seismic catalog. The results indicate that productive sequences in the shallower high-angle faults often hamper the detection of microseismicity along with the ATF and that events are released at intermittent rates. Moreover, the seismic activity is mainly organized in clusters of small earthquakes lasting days or months with no identifiable mainshock. These clusters span a 30-km-long segment and coincide with transient deformation recorded at the end of 2013.
description: Template matching catalog
description: {"references": ["Vuan et al., 2020 - Intermittent Slip Along the Alto Tiberina Low-Angle Normal Fault in Central Italy - https://doi.org/10.1029/2020GL089039"]}
DOI: 10.6084/m9.figshare.16828747
title: SNV output for CYP2D6 and CYP2C19 and copy number data for CYP2D6 (adjusted where indicated) for 95 samples

description: The datasets provide the SNV output for CYP2D6 and CYP2C19 and copy number data for CYP2D6 (adjusted where indicated) for 95 samples genotyped in two batches as described in the paper Carvalho Henriques and Buchner et al. <i>Methodology for clinical genotyping of CYP2D6 and CYP2C19. Translational Psychiatry. </i><i><br></i>The material herein are provided on an “as is” basis only and without warranty or representation (whether express or implied) as to its accuracy or reliability. Anyone who uses the material assumes responsibility for the result and its use. Neither the authors nor any funders are responsible for or accepts liability for any direct or indirect loss or damages arising from or connected to the use of this information.<i></i>
DOI: 10.6084/m9.figshare.16806949
title: Backyard Bird Observation Experiment

description: Data with meta-data for a backyard birdwatching experiment done as part of course BIOL3250 at York University, Canada. <br> <b>Descriptions of Table:</b><b>Replicate </b>represents the replicate or unique animal observed.<b>Date </b>is the date the observation was made in the format d/m/y.<b>Researcher </b>is the initials of the person who inputted the observational data.<br><b>Location </b>is the broad address of where the data was collected. It includes the name of the neighbourhood and the city it is found in.<b>Species </b>represents the common name of the bird species identified.<b>Frequency </b>is the number of times the species of bird was observed performing a specific behaviour during the 60-minute sampling period.<b>Behaviour </b>is a brief description of the activity the bird was seen doing such as flying, perching on a tree, or interacting with other birds.<b>Duration </b>represents the total amount of time the bird spent on a certain behavior during the sampling period.<b>Noise </b>is if the birds made any noise such as chirping or cawing during the time they were seen doing a behavior.<br> Each row or replicate in the table has a single species of bird per behavior. There is a unique combination of species of bird with behavior in each row as there is one species per behavior per row.<br>The observational study was conducted over a 60-minute period on a single day at 8:30am. The weather during the experiment was clear and sunny with little wind.<br><br>