cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3829266
title: Dataset for paper "Decaying dark matter signal across the Milky Way?"

description: Summary of observations after cleaning. File naming: mw-xmm-obs-&lt;region&gt;.csv, where &lt;region&gt; identifies corresponding region bounds in arcmin. List of fields:<br> ObsId - XMM-Newton observation id<br> l - galactic longitude, degrees<br> b - galactic latitude, degrees<br> off-center - an angular distance of the instrument pointing direction from the Galactic center, arcmin<br> Exposure - cleaned exposure of the MOS1/MOS2/PN cameras, ksec<br> FoV - spectra extraction regions of the MOS1/MOS2/PN spectra (field-of-view), arcmin^2
DOI: 10.15468/w34fzk
title: New species of Boreohesperus (Diplopoda, Polydesmida, Paradoxosomatidae) from north-western Australia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Car, Catherine A., Harvey, Mark S. (2017): New species of Boreohesperus (Diplopoda, Polydesmida, Paradoxosomatidae) from north-western Australia. European Journal of Taxonomy 320: 1-11, DOI: https://doi.org/10.5852/ejt.2017.320
DOI: 10.3886/e119472v1
title: Doctors and parents' health care

description: To assess the importance of unequal access to medical expertise and services, we estimate the causal effects of having a child who is a doctor on parents' mortality and health care use. We use data from parents of almost 22,000 participants in admission lotteries to medical school in the Netherlands. Our findings indicate that informal access to medical expertise and services is not an important cause of differences in health care use and mortality. This is consistent with institutions that provide equal health care for all.
DOI: 10.17632/ry79pm8gd9.1
title: Dataset of Brand Literature in Indonesia from 1997 to 2019

description: The dataset of brand research & literature in Indonesia, which was indexed by Scopus from 1997 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.25386/genetics.11983857.v2
title: Supplemental Material for Kontio, Rinta-aho, and Silanpää, 2020

description: R-codes as simulated datasets used in the article and supplementary materials.
DOI: 10.17632/9nck2z26tf.2
title: STING gain-of-function disrupts lymph node organogenesis and innate lymphoid cell differentiation in mice. Bennion et al

description: Heterozygous STING N153S mutant mice lack lymph nodes and Peyer’s patches. Lymph node development requires a RORT+ lymphoid tissue inducer (LTi) cells. In STING N153S fetuses, there are fewer LTi cells. These LTi cells arise in the fetal liver from CD127+ 47+ progenitor cells. We hypothesized that STING N153S impairs LTi cell survival or function, and that transcriptional abnormalities might be detectable by single-cell RNA-sequencing. To enrich for this rare cell type, single Lin–CD45+cKITintCD127+47+ cells were sorted directly into a 96-well plate (one cell per well) containing 2 l of 10x lysis buffer (Takara catalog no. 635013) and 5% RNAse inhibitor (Promega catalog no. PRN2611). After sorting, plates were immediately frozen at -80 degrees Celsius. Single-cell RNA sequencing of each well was performed at the Genome Technology Access Center (GTAC) at Washington University in St. Louis. A total of 48 WT and 48 STING N153S cells were sequenced.
DOI: 10.17632/nm46kr3cnd.1
title: N2An2mTP2silylation
DOI: 10.17632/nm46kr3cnd.2
title: N2An2mTP2silylation

description: raw data for experiments and computational analyses of catalytic protonation and silylation of dinitrogen by uranium and thorium metallacycles. Manuscript title: Metallacyclic actinide catalysts for dinitrogen conversion to ammonia and secondary amines.
DOI: 10.15468/q8b5yx
title: Tortonian teleost otoliths from northern Italy: taxonomic synthesis and stratigraphic significance

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lin, Chien-Hsiang, Brzobohatý, Rostislav, Nolf, Dirk, Girone, Angela (2017): Tortonian teleost otoliths from northern Italy: taxonomic synthesis and stratigraphic significance. European Journal of Taxonomy 322: 1-44, DOI: https://doi.org/10.5852/ejt.2017.322
DOI: 10.15468/e46qua
title: A new minute species of Pristimantis (Amphibia: Anura: Craugastoridae) with a large head from the Yanachaga-Chemillén National Park in central Peru, with comments on the phylogenetic diversity of Pristimantis occurring in the Cordillera Yanachaga

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lehr, Edgar, Moravec, Jiří, Cusi, Juan Carlos, Gvoždík, Václav (2017): A new minute species of Pristimantis (Amphibia: Anura: Craugastoridae) with a large head from the Yanachaga-Chemillén National Park in central Peru, with comments on the phylogenetic diversity of Pristimantis occurring in the Cordillera Yanachaga. European Journal of Taxonomy 325: 1-22, DOI: https://doi.org/10.5852/ejt.2017.325
DOI: 10.15468/mphzuu
title: A new species of Novastoa Finlay, 1926 (Mollusca: Gastropoda: Vermetidae) from coral reefs of the Pacific Ocean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schiaparelli, Stefano, Bieler, Rüdiger, Golding, Rosemary E., Rawlings, Timothy A., Collins, Timothy M. (2017): A new species of Novastoa Finlay, 1926 (Mollusca: Gastropoda: Vermetidae) from coral reefs of the Pacific Ocean. European Journal of Taxonomy 323: 1-11, DOI: https://doi.org/10.5852/ejt.2017.323
DOI: 10.15468/s45qn6
title: Revision of Saurorhynchus (Actinopterygii: Saurichthyidae) from the Early Jurassic of England and Germany

description: This dataset contains the digitized treatments in Plazi based on the original journal article Maxwell, Erin E., Stumpf, Sebastian (2017): Revision of Saurorhynchus (Actinopterygii: Saurichthyidae) from the Early Jurassic of England and Germany. European Journal of Taxonomy 321: 1-29, DOI: https://doi.org/10.5852/ejt.2017.321
DOI: 10.5066/p9yu6pqb
title: Robust ecological drought projection data for drylands in the 21st century

description: These data represent simulated ecological drought conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) describe geographic patterns in ecological drought under historical climate conditions, 2) quantify the direction and magnitude of change in ecological drought, 3) identify areas and ecological drought metrics with projected changes that are robust across climate models, defined as drought metrics and locations where &gt;90% of climate models agree in the direction of change.
DOI: 10.7910/dvn/kgvsyh/abqqko
title: docs_meta.RData

description: R-dataset containing tables with metadata for UN Security Council meetings as well as for single speeches.
DOI: 10.7910/dvn/kgvsyh/gjco4m
title: docs.RData

description: R-dataset containing a table with single speeches.
DOI: 10.7910/dvn/kgvsyh/ireugi
title: speaker.tab

description: Metadata for speeches in a tab-separated text file.
DOI: 10.7910/dvn/kgvsyh/mpetis
title: meta.tab

description: Metadata for UN Security Council meetings in a tab-separated text file.
DOI: 10.7910/dvn/kgvsyh/o5n5px
title: txt.tar

description: Text files of UN Security Council meeting protocols
DOI: 10.7910/dvn/kgvsyh/pkog69
title: speeches.tar

description: Text files containing single speeches held in UN Security Council meetings
DOI: 10.7910/dvn/kgvsyh/vpfglh
title: Codebook.pdf

description: A description of the dataset and its variables
DOI: 10.17632/667fb7gt44.2
title: Data for: Statistical analysis of the interaction between wind-waves and currents during early wave generation

description: Twenty-two experiments were performed with two different wind speed values and eleven different current speed values (including zero values, absence of current), with a ratio of current speed to phase speed u_c=c = [-0.2, 0.25], measuring the instantaneous water level in different sections with ultrasonic probes. Raw data (water elevation).
DOI: 10.6073/pasta/a9491e9ae10cc3aae9100535e98a4730
title: PIE LTER nutrient grab samples collected between December 1998 and July 2017 in the mainstem, tributaries, and headwater streams in the Ipswich and Parker River watersheds, Massachusetts.

description: Data set of Ipswich and Parker Rivers and tributaries in Massachusetts collected between December 1998 and July 2017 by MBL, UNH and/or members of the Ipswich and Parker River watershed associations. The data is primarily nutrient content of the streams, but there are some physical descriptors (i.e. discharge, temperature, dissolved oxygen) for some dates and sites. Site description file for all stations sampled in WAT-UNH-IPPR-Synoptic file can be found in WAT-UNH-IPPR-Synoptic-Sites file.
DOI: 10.21227/1c0t-3141
title: Pretrained CNN model for segmenting non-contrast computed tomography stroke lesion datasets

description: Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to develop and establish a baseline convolutional neural network (CNN) model for automatic NCCT lesion segmentation. A total of 252 multi center clinical NCCT datasets, acquired from 22 centers, and corresponding manual segmentations were used to train (204 datasets) and validate (48 datasets) a 3D multi scale CNN model for lesion segmentation. Post processing methods were implemented to improve the CNN-based lesion segmentations. The final CNN model and post processing method was evaluated using 39 out of distribution holdout test datasets, acquired at seven centers that did not contribute to the training or validation datasets. Each test image was segmented by two or three neuroradiologists. The Dice similarity coefficient (DSC) and predicted lesion volumes were used to evaluate the segmentations. The CNN model achieved a mean DSC score of 0.47 on the validation NCCT datasets. Post-processing significantly improved the DSC to 0.50 (P&lt;0.01). On the holdout test set, the CNN model achieved a mean DSC score of 0.42, which was also significantly improved to 0.45 (P&lt;0.05) by post processing. Importantly, the automatically segmented lesion volumes were not significantly different from the lesion volumes determined by the expert observers (P&gt;0.05) and showed excellent agreement with manual lesion segmentation volumes (intraclass correlation coefficient, ICC = 0.88). The proposed CNN model can automatically and reliably segment ischemic stroke lesions in clinical NCCT datasets. Post processing techniques can further improve accuracy. As the model was trained and evaluated on datasets from multiple centers, it is broadly applicable and is publicly available.
DOI: 10.21227/jps9-0b57
title: Pretrained CNN model for segmenting non-contrast computed tomography stroke lesion datasets

description: Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to develop and establish a baseline convolutional neural network (CNN) model for automatic NCCT lesion segmentation. A total of 252 multi center clinical NCCT datasets, acquired from 22 centers, and corresponding manual segmentations were used to train (204 datasets) and validate (48 datasets) a 3D multi scale CNN model for lesion segmentation. Post processing methods were implemented to improve the CNN-based lesion segmentations. The final CNN model and post processing method was evaluated using 39 out of distribution holdout test datasets, acquired at seven centers that did not contribute to the training or validation datasets. Each test image was segmented by two or three neuroradiologists. The Dice similarity coefficient (DSC) and predicted lesion volumes were used to evaluate the segmentations. The CNN model achieved a mean DSC score of 0.47 on the validation NCCT datasets. Post-processing significantly improved the DSC to 0.50 (P&lt;0.01). On the holdout test set, the CNN model achieved a mean DSC score of 0.42, which was also significantly improved to 0.45 (P&lt;0.05) by post processing. Importantly, the automatically segmented lesion volumes were not significantly different from the lesion volumes determined by the expert observers (P&gt;0.05) and showed excellent agreement with manual lesion segmentation volumes (intraclass correlation coefficient, ICC = 0.88). The proposed CNN model can automatically and reliably segment ischemic stroke lesions in clinical NCCT datasets. Post processing techniques can further improve accuracy. As the model was trained and evaluated on datasets from multiple centers, it is broadly applicable and is publicly available.
DOI: 10.5281/zenodo.3830485
title: PID and LQR controllers evaluation for the resource utilization management

description: PID and LQR controllers evaluation for the resource utilization management for the paper submitted to ACSOS-2020.
DOI: 10.5281/zenodo.3830486
title: PID and LQR controllers evaluation for the resource utilization management

description: PID and LQR controllers evaluation for the resource utilization management for the paper submitted to ACSOS-2020.
DOI: 10.6073/pasta/953a495dd4855061b0ff21c1bfac7f79
title: PIE LTER site names and locations associated with synoptically sampled study sites within the Parker and Ipswich watersheds, Massachusetts.

description: Data set of locations and drainage areas of locations within the Ipswich and Parker Rivers in Massachusetts that have been sampled between December 1998 and July 2017 by MBL, UNH and/or members of the Ipswich and Parker River.watershed associations. Watershed synoptic nutrient file associated with WAT-UNH-IPPR-Synoptic-Sites file can be found in WAT-UNH-IPPR-Synoptic file.
DOI: 10.7910/dvn/vtpo4u/hheq3p
title: M5.tab

description: :unav
DOI: 10.21227/a2ka-xj85
title: Pretrained CNN model for segmenting Non-contrast Computed Tomography stroke lesion datasets

description: Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to develop and establish a baseline convolutional neural network (CNN) model for automatic NCCT lesion segmentation. A total of 252 multi center clinical NCCT datasets, acquired from 22 centers, and corresponding manual segmentations were used to train (204 datasets) and validate (48 datasets) a 3D multi scale CNN model for lesion segmentation. Post processing methods were implemented to improve the CNN-based lesion segmentations. The final CNN model and post processing method was evaluated using 39 out of distribution holdout test datasets, acquired at seven centers that did not contribute to the training or validation datasets. Each test image was segmented by two or three neuroradiologists. The Dice similarity coefficient (DSC) and predicted lesion volumes were used to evaluate the segmentations. The CNN model achieved a mean DSC score of 0.47 on the validation NCCT datasets. Post-processing significantly improved the DSC to 0.50 (P&lt;0.01). On the holdout test set, the CNN model achieved a mean DSC score of 0.42, which was also significantly improved to 0.45 (P&lt;0.05) by post processing. Importantly, the automatically segmented lesion volumes were not significantly different from the lesion volumes determined by the expert observers (P&gt;0.05) and showed excellent agreement with manual lesion segmentation volumes (intraclass correlation coefficient, ICC = 0.88). The proposed CNN model can automatically and reliably segment ischemic stroke lesions in clinical NCCT datasets. Post processing techniques can further improve accuracy. As the model was trained and evaluated on datasets from multiple centers, it is broadly applicable and is publicly available.
DOI: 10.15468/tnrern
title: A new genus of mongoliulid millipedes from the Far East of Russia, with a list of species in the family (Diplopoda, Julida, Mongoliulidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Enghoff, Henrik, Jensen, Laura Mark, Mikhaljova, Elena V. (2017): A new genus of mongoliulid millipedes from the Far East of Russia, with a list of species in the family (Diplopoda, Julida, Mongoliulidae). European Journal of Taxonomy 326: 1-19, DOI: https://doi.org/10.5852/ejt.2017.326
DOI: 10.18112/openneuro.ds002797.v1.0.0
title: CCD
DOI: 10.15468/5dwys2
title: Macrobiotus polypiformis sp. nov., a new tardigrade (Macrobiotidae; hufelandi group) from the Ecuadorian Pacific coast, with remarks on the claw abnormalities in eutardigrades

description: This dataset contains the digitized treatments in Plazi based on the original journal article Roszkowska, Milena, Ostrowska, Marta, Stec, Daniel, Janko, Karel, Kaczmarek, Łukasz (2017): Macrobiotus polypiformis sp. nov., a new tardigrade (Macrobiotidae; hufelandi group) from the Ecuadorian Pacific coast, with remarks on the claw abnormalities in eutardigrades. European Journal of Taxonomy 327: 1-19, DOI: https://doi.org/10.5852/ejt.2017.327
DOI: 10.17632/bwkpgpjm3k.1
title: Spectroscopic data for aminophenol ligands, their galactose derivatives and their iron(III) complexes

description: 1H, 13C NMR (FID and processed spectra) and HR-MS spectroscopic data of amino-phenol chelating ligands, their derivatives with B-galactose, N,O-ligands and HR-MS spectra of Fe iron(III) complexes as bioresponsive, smart, enzyme sensitive systems
DOI: 10.17632/dsk88krhbk.3
title: Validation of the Distress Thermometer in a Mexican population with brain tumors

description: Dataset used for validation of the Distress Thermometer in a Mexican Population with brain tumors. The data include DT scores and HADS scores. ROC analysis was performed to determine the optimal cutoff score in the DT
DOI: 10.17632/gbxfpzgtsk.1
title: Raw data of the article: Effects of Different Feeding Frequency on Siamese Fighting Fish (Betta splenden) and Guppy (Poecilia reticulata) Juveniles: Data on Growth Performance and Survival Rate

description: Raw data on weight and length measurements, fish count and feed intake of Betta and Guppy during 60 days different feeding frequency trials
DOI: 10.17632/vwphpdwynx.1
title: Migration and Business Cycles: Testing the OCA Theory Predictions in the European Union
DOI: 10.17632/wdh6jyzs6j.1
title: Data for Petach and Rumbuagh (2020) "Are You Ready for Some Football? Estimating the Effect of American Football Season on Labor Supply in the United States"

description: Data and code to replicate Petach and Rumbaugh (2020) "Are You Ready for Some Football? Estimating the Effect of American Football Season on Labor Supply in the United States."
DOI: 10.15468/n37ccs
title: A new genus and species of uncertain phylogenetic position within the family Hydrobiidae (Caenogastropoda, Truncatelloidea) discovered in Tunisian springs

description: This dataset contains the digitized treatments in Plazi based on the original journal article Khalloufi, Noureddine, Béjaoui, Mustapha, Delicado, Diana (2017): A new genus and species of uncertain phylogenetic position within the family Hydrobiidae (Caenogastropoda, Truncatelloidea) discovered in Tunisian springs. European Journal of Taxonomy 328: 1-15, DOI: https://doi.org/10.5852/ejt.2017.328
DOI: 10.15468/w6pts9
title: Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Samoh, Abdulloh, Satasook, Chutamas, Grootaert, Patrick (2017): Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand. European Journal of Taxonomy 329: 1-40, DOI: https://doi.org/10.5852/ejt.2017.329
DOI: 10.21227/nwx9-zc17
title: Kinematic Gait data using a Microsoft Kinect V2 sensor during gait sequences over a treadmill.

description: 104 participants (54 female and 50 male) walked over a treadmill. Gait data based on 25 joint trajectories was recorded using a single Kinect V2 depth sensor. The sensor was placed in frontal view. The speed set on the motorized treadmill was incremental from 0m/s until to reach 1.2m/s. All recordings start once 1.2m/s speed is reached. Once approximately 30 seconds of continuous walking has been completed, the recording stops and then the slowdown starts.
DOI: 10.21227/qtvx-pn76
title: Kinematic Gait data using a Microsoft Kinect V2 sensor during gait sequences over a treadmill.

description: 104 participants (54 female and 50 male) walked over a treadmill. Gait data based on 25 joint trajectories was recorded using a single Kinect V2 depth sensor. The sensor was placed in frontal view. The speed set on the motorized treadmill was incremental from 0m/s until to reach 1.2m/s. All recordings start once 1.2m/s speed is reached. Once approximately 30 seconds of continuous walking has been completed, the recording stops and then the slowdown starts.
DOI: 10.15468/q73skc
title: Integrative taxonomy of the genus Dyscolus (Coleoptera, Carabidae, Platynini) in Ecuadorian Andes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Moret, Pierre, Murienne, Jérôme (2020): Integrative taxonomy of the genus Dyscolus (Coleoptera, Carabidae, Platynini) in Ecuadorian Andes. European Journal of Taxonomy 646: 1-55, DOI: https://doi.org/10.5852/ejt.2020.646
DOI: 10.21227/55ye-tj41
title: Kinematic Gait data using a Microsoft Kinect V2 sensor during gait sequences over a treadmill.

description: 104 participants (54 female and 50 male) walked over a treadmill. Gait data based on 25 joint trajectories was recorded using a single Kinect V2 depth sensor. The sensor was placed in frontal view. The speed set on the motorized treadmill was incremental from 0m/s until to reach 1.2m/s. All recordings start once 1.2m/s speed is reached. Once approximately 30 seconds of continuous walking has been completed, the recording stops and then the slowdown starts.
DOI: 10.7910/dvn/osntkt/iacfb1
title: M5.tab

description: :unav
DOI: 10.5281/zenodo.3830360
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3830361
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.17632/bsnj984jb3.1
title: Data for: Characteristics of soil water and salt associated with Tamarix ramosissima communities during normal and dry periods in a semi-arid saline environment

description: Data for Characteristics of soil water and salt associated with Tamarix ramosissima communities during normal and dry periods in a semi-arid saline environment
DOI: 10.7910/dvn/dopmqy/waqfgi
title: 12. 2019_EA_ETH_DOG_CSA Monitoring Results_GeoFarmer links.xls

description: :unav