cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3707776
title: Presencia en Dialnet Métricas de los Titulares y Catedráticos de Comunicación (2000-19)

description: Se presenta el listado de profesores de Comunicación (Titulares y catedráticos) en Dialnet Métricas y se muestran los datos que refleja este producto sobre losmismos, número de obras registradas, número de obras citadas y sin citar y número total de citas. Los datos, debido a la cobertura eminentemente nacional del producto, Dialnet tiene un sesgo importante pues no registra los trabajos publicados en libros y revistas extranjeras, sin embargo, tiene también ventajas respecto a la tradicional búsqueda en Web of Science completando los datos de la producción científca internacional con datos nacionales. Del listado de 409 titulares y catedráticos que se comparan se identifican 359 (no aparecen 60). Se identifican 45 errores (áreas y universidades que o bien no aparecen o bien no coinciden con las identificadas en BOE). Estos datos han sido comunicados a Dialnet para su corrección e identificación de errores, es lo hermoso de la ciencia abierta.
DOI: 10.5281/zenodo.3707949
title: TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages

description: This paper presents TaPaCo, a freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links between sentences "meaning the same thing". This graph is then traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 - 250 000 sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
DOI: 10.5281/zenodo.3707948
title: TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages

description: This paper presents TaPaCo, a freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links between sentences "meaning the same thing". This graph is then traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 - 250 000 sentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists.
DOI: 10.5281/zenodo.3707891
title: Ensemble calculations of "torro17" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>torro17 <strong>Definition:</strong> Number of days per year with daily maximum wind speed equal or greater than 17 m/s, average over a 30-year time-period. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily maximum near-surface wind speed (sfcWindmax). Results (ensemble mean and ensemble standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) time periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The EURO-CORDEX climate model simulations used are: SMHI-RCA4/ ICHEC-EC-EARTH, SMHI-RCA4/ MOHC-HadGEM2-ES CLMcom-CCLM4-8-17/ ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/ MOHC-HadGEM2-ES DMI-HIRHAM5/ ICHEC-EC-EARTH KNMI-RACMO22E/ ICHEC-EC-EARTH, KNMI-RACMO22E/ MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3707892
title: Ensemble calculations of "torro17" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>torro17 <strong>Definition:</strong> Number of days per year with daily maximum wind speed equal or greater than 17 m/s, average over a 30-year time-period. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily maximum near-surface wind speed (sfcWindmax). Results (ensemble mean and ensemble standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) time periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The EURO-CORDEX climate model simulations used are: SMHI-RCA4/ ICHEC-EC-EARTH, SMHI-RCA4/ MOHC-HadGEM2-ES CLMcom-CCLM4-8-17/ ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/ MOHC-HadGEM2-ES DMI-HIRHAM5/ ICHEC-EC-EARTH KNMI-RACMO22E/ ICHEC-EC-EARTH, KNMI-RACMO22E/ MOHC-HadGEM2-ES
DOI: 10.25505/fiz.icsd.cc2416hx
title: CSD 1967368: Experimental Crystal Structure Determination

description: Related Article: Dong Ding, Lin Cheng, Kai-Yao Wang, Hua-Wei Liu, Meng Sun, Cheng Wang|2020|Inorg.Chem.|59|9638|doi:10.1021/acs.inorgchem.0c00770
DOI: 10.25505/fiz.icsd.cc2416jy
title: CSD 1967369: Experimental Crystal Structure Determination

description: Related Article: Dong Ding, Lin Cheng, Kai-Yao Wang, Hua-Wei Liu, Meng Sun, Cheng Wang|2020|Inorg.Chem.|59|9638|doi:10.1021/acs.inorgchem.0c00770
DOI: 10.25505/fiz.icsd.cc2416l0
title: CSD 1967371: Experimental Crystal Structure Determination

description: Related Article: Dong Ding, Lin Cheng, Kai-Yao Wang, Hua-Wei Liu, Meng Sun, Cheng Wang|2020|Inorg.Chem.|59|9638|doi:10.1021/acs.inorgchem.0c00770
DOI: 10.5281/zenodo.3702326
title: YAMP Resources with Human Genome indexed bbmap 38.76

description: Resource dataset for <strong>YAMP</strong> (https://github.com/alesssia/YAMP) with Human Genome indexed using <strong> bbmap 38.76</strong> <em>Original dataset:</em> Alessia. (2017). Data for YAMP (https://github.com/alesssia/YAMP) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1068229 <em>From the original dataset :</em> This dataset includes all the databases/datasets queried by YAMP (https://github.com/alesssia/YAMP). This dataset has been created to help the users to get started with YAMP, and to save them from the hassle of collecting and downloading the data from different sources. More in details, this dataset contains: a FASTA file listing the adapter sequences to remove in the trimming step. This file is usually provided within the BBmap installation (https://sourceforge.net/projects/bbmap, version 37.68). two FASTA files describing synthetic contaminants (sequencing_artifacts.fa.gz and phix174_ill.ref.fa.gz). These files are usually provided within the BBmap installation (https://sourceforge.net/projects/bbmap, version 37.68). a FASTA file provided by Brian Bushnell for removing human contamination (described here: http://seqanswers.com/forums/showthread.php?t=42552). Please note that this file should be indexed beforehand. This can be done using BBMap, using the following command: `bbmap.sh -Xmx24G ref=hg19_main_mask_ribo_animal_allplant_allfungus.fa.gz`. the BowTie2 database file for MetaPhlAn2. This file is usually provided within the MetaPhlAn2 installation (version 2.6.0) the ChocoPhlAn and UniRef (Uniref50, Uniref90) databases, downloaded directly by HUMAnN2 (version 0.9.9), as explained here: https://bitbucket.org/biobakery/humann2/wiki/Home#markdown-header-5-download-the-databases
DOI: 10.5281/zenodo.3702327
title: YAMP Resources with Human Genome indexed bbmap 38.76

description: Resource dataset for <strong>YAMP</strong> (https://github.com/alesssia/YAMP) with Human Genome indexed using <strong> bbmap 38.76</strong> <em>Original dataset:</em> Alessia. (2017). Data for YAMP (https://github.com/alesssia/YAMP) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1068229 <em>From the original dataset :</em> This dataset includes all the databases/datasets queried by YAMP (https://github.com/alesssia/YAMP). This dataset has been created to help the users to get started with YAMP, and to save them from the hassle of collecting and downloading the data from different sources. More in details, this dataset contains: a FASTA file listing the adapter sequences to remove in the trimming step. This file is usually provided within the BBmap installation (https://sourceforge.net/projects/bbmap, version 37.68). two FASTA files describing synthetic contaminants (sequencing_artifacts.fa.gz and phix174_ill.ref.fa.gz). These files are usually provided within the BBmap installation (https://sourceforge.net/projects/bbmap, version 37.68). a FASTA file provided by Brian Bushnell for removing human contamination (described here: http://seqanswers.com/forums/showthread.php?t=42552). Please note that this file should be indexed beforehand. This can be done using BBMap, using the following command: `bbmap.sh -Xmx24G ref=hg19_main_mask_ribo_animal_allplant_allfungus.fa.gz`. the BowTie2 database file for MetaPhlAn2. This file is usually provided within the MetaPhlAn2 installation (version 2.6.0) the ChocoPhlAn and UniRef (Uniref50, Uniref90) databases, downloaded directly by HUMAnN2 (version 0.9.9), as explained here: https://bitbucket.org/biobakery/humann2/wiki/Home#markdown-header-5-download-the-databases
DOI: 10.5517/ccdc.csd.cc251nqm
title: CCDC 1997600: Experimental Crystal Structure Determination

description: Related Article: Marten Uebing, Alexander Hepp, Werner Uhl|2020|Organometallics|39|2695|doi:10.1021/acs.organomet.0c00300
DOI: 10.5517/ccdc.csd.cc251nrn
title: CCDC 1997601: Experimental Crystal Structure Determination

description: Related Article: Marten Uebing, Alexander Hepp, Werner Uhl|2020|Organometallics|39|2695|doi:10.1021/acs.organomet.0c00300
DOI: 10.5517/ccdc.csd.cc251nsp
title: CCDC 1997602: Experimental Crystal Structure Determination

description: Related Article: Marten Uebing, Alexander Hepp, Werner Uhl|2020|Organometallics|39|2695|doi:10.1021/acs.organomet.0c00300
DOI: 10.25345/c50q48
title: MassIVE MSV000085089 - GNPS Sea cucumber Saponin composition and structure activity relationship
title: We are investigating the structure-activity relationships of triterpene glycoside with particular species of sea cucumbers.
DOI: 10.15129/44b337ab-9fd9-4983-9079-a0dcfaae1d84
title: Data for: "Synchronization-Free Top-down Illumination Photometric Stereo Imaging Using Light-Emitting Diodes and a Mobile Device"

description: The dataset contains all the data used to produce the figures displayed in the paper. The data are organised as followed: one dataset for 'in-plane' configuration, four different datasets for 'out-of-plane' configuration: one for each of the object, namely the sphere, the cube face, the cube corner and the monkey head; a third main dataset for signal to noise ratio measurement, a fourth dataset for the dynamic imaging and a final dataset for the appendix. Each dataset is uploaded under a .zip format where a Readme file can be found with an explanation of each dataset. In each case, the dataset is complex and is made available under a .mat format which can be read by an open source software, such as Octave.
DOI: 10.17037/data.00001618
title: BILHIV acceptability dataset

description: This dataset contains demographic characteristics and other information used to determine the acceptability of genital self-sampling for the detection of Schistosoma DNA in the BILHIV study. Each row refers to a study participant with a unique study ID number.
description: Following written informed consent and specimen collection, the participants completed a questionnaire, with responses captured on hand-held tablets. The questionnaire assessed basic demographics and the participant’s assessment of the acceptability of self-sampling.
DOI: 10.5285/c5175014-a056-4799-a8c0-65b5fc433743
title: Processed bed elevation picks from airborne radar depth sounding across the region of three tributaries of Slessor Glacier, Coats Land, East Antarctica (2001/02 season)

description: During the austral summer of 2001/02 five thousand line kilometres of airborne radio echo sounding and aeromagnetic data were collected in the region of three tributaries of Slessor Glacier, East Antarctica, which drains into the Filchner Ice Shelf. We present here the processed bed elevation picks from airborne radar depth sounding acquired using the BAS aerogeophysicaly equipped Twin Otter aircraft. Data are provided as XYZ ASCII line data. Data were collected as part of UK Natural Environment Research Council (NERC) grant GR3/AFI2/65
description: Radar data are presented in Rippin et al. (2003, 2006) along with further details of survey design, data collection and data processing. Data provided here includes picks of surface and ice sheet bed elevation. Channel definitions: Basic Channels Date: UTC date (YYYY/MM/DD) Time: UTC time (HH:MM:SS.SS) FlightID: Sequential flight number and survey ID e.g. W12 Lon: Longitude WGS 1984 Lat: Latitude WGS 1984 x: x projected meters * y: y projected meters * Radar surfElev: Surface elevation (m) bedElev: Ice bed elevation, derived by subtracting tice from surfElev (m) tIce: Ice thickness (m) * Projected coordinates (x and y) are in Lambert conic conformal with two standard parallels defined as follows: Latitude of false origin: -74.018118 Longitude of false origin: 179 Latitude of 1st standard parallel -72.66666666667 Latitude of 2nd standard parallel -75.33333333333 False easting 1444000 False northing 1123000
DOI: 10.5281/zenodo.3406574
title: Research data supporting "Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy"

description: Research data supporting the publication: Stock, T. J. Z, <em>et. al.</em>, <strong>2020</strong>, Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy, <em>ACS Nano</em>, https://dx.doi.org/10.1021/acsnano.9b08943
DOI: 10.5281/zenodo.3406575
title: Research data supporting "Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy"

description: Research data supporting the publication: Stock, T. J. Z, <em>et. al.</em>, <strong>2020</strong>, Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy, <em>ACS Nano</em>, https://dx.doi.org/10.1021/acsnano.9b08943
DOI: 10.5258/soton/379896
title: 3 month old wheat plant cultivar xi19 grown in clay loam soil at a bulk density of 1.1. g cm-3. [Pot 3]

description: This consists of 9 scans taken at different heights within the specimen. From 2017 this dataset can be requested via http://library.soton.ac.uk/datarequest
DOI: 10.5066/p977go3j
title: Geospatial Bathymetry Dataset and elevation-area-capacity tables for Morris Lake (Newton Reservoir), New Jersey, 2018

description: Morris Lake, also known as Newton Reservoir, has been the source of drinking water for the Town of Newton, New Jersey, since the early 1900s. Although Morris Lake has been used as a source of drinking water for many years, its capacity was previously unknown. In April 2018, the U.S. Geological Survey and the New Jersey Department of Environmental Protection conducted a bathymetric survey of Morris Lake using a multibeam echosounder to map the reservoir. The points measured with the multibeam echosounder were combined with lidar data above the water surface and processed to create a 3.3-foot (1 meter) raster grid of the bathymetric surface, bathymetric contours at 2-foot intervals of depth and elevation, and an elevation-area-capacity table. The results of the bathymetric survey show that Morris Lake has a maximum depth of just over 119 feet with an average depth of 42 feet. Parts of the reservoir, like the surrounding topography, are extremely steep. The capacity of the reservoir at full spillway level is 1,980 million gallons, with a corresponding surface area of 145 acres. The accuracy of the mapped multibeam echosounder bathymetric data was evaluated using a quality assurance dataset collected with a single-beam echosounder: 9,386 quality assurance points were spatially joined with the mapped raster surface to compute measurement errors. The calculated median point error for Morris Lake was 0.23 feet, the median absolute error was 0.35 feet, and the 95-percent accuracy was 2.68 feet. The largest errors occurred in the steepest areas of the reservoir and in unmeasured areas.
DOI: 10.21227/nebg-c605
title: Leakage detection and localization for experiment 1

description: The dataset is mainly used for leak detection and localization.
DOI: 10.5285/849e2215-95b0-4275-88b8-50e18e3f8d56
title: Processed line aeromagnetic data over the Recovery Lakes region and interior Dronning Maud Land, East Antarctica (2013)

description: Long-range airborne geophysical measurements were carried out in the ICEGRAV campaigns (2010-2013), covering hitherto unexplored parts of interior East Antarctica and part of the Antarctic Peninsula. The airborne surveys provided a regional coverage of gravity, magnetic and ice-penetrating radar measurements for major Dronning Maud Land ice stream systems, from the grounding lines up to the Recovery Lakes drainage basin, and filled in major data voids in Antarctic data compilations.We present here the processed line aeromagnetic data collected using scintrex cesium magnetometers mounted on the BAS aerogeophysical equipped Twin Otter. Data are provided as XYZ ASCII line data.
description: The dataset available here includes all channels from raw through to levelled and microlevelled products. Channel naming and processing follows SCAR/ADMAP2 data release protocols. Magnetic data channels and processing flow: MagR- Raw magnetic total field intensity data (nT). MagC- Compensated, or low pass filtered magnetic data (nT). Adjustments to compensate for aircraft roll, pitch and yaw were applied. For this survey, both compensation, and low pass filtering of MagR were used. RefField- Geomagnetic reference field value for which the magnetic data has been compensated. IGRF model 2010 as implemented in Geosoft (nT). MagRTC- Compensated magnetic value adjusted for Tip tanks (where used) and geomagnetic reference field values. MagRTC= MagR- RefField (nT). BCorr_FD83- Low pass filtered (60 minute) magnetic base station (located at camp FD83) correction. BCorr_Halley- Low pass filtered (60 minute) magnetic base station (located at Halley) correction. BCorr_Applied- Which of the two base station correction values were applied. MagBRTC- calculated as MagBRTC= MagRTC- Bcorr (nT). ACorr- Additional correction applied to compensate for heading errors. MagF- Final mag value before levelling (nT). MagL- Statistically levelled mag data (nT). MagML- Microlevelled magnetic data following technique of (Ferraccioli et al., 1998) (nT). Note tie lines are not included in the microlevelled data channel. Basic channel description: Line name Line Number Flight ID Sequential flight number x x projected meters* y y projected meters* Lon Longitude WGS 1984, Lat Latitude WGS 1984, Height_WGS1984 Aircraft altitude (meters) in WGS 1984, Date Date of flight in time format e.g. 2006/01/08 Time Time (UTC) of flight e.g. 23:52:42.0 *Projected coordinates (x and y) are in Weddell Lambert with two standard parallels defined as follows: Latitude of false origin: -80 Longitude of false origin: -81 Latitude of 1st standard parallel -82 Latitude of 2nd standard parallel -78 False easting 26501 False northing 1977093
description: No values are given for Scorr.
DOI: 10.3886/e100074v22-22969
title: Web based surveys - Greek Elections 2015

description: The project Hellenic National Election Studies (ELNES) facilitates research on the causes and consequences of voting behaviour and on the way democracy works in a country under financial crisis. ELNES produces hundreds of euro worth of data on electoral behaviour in Greece at a fractional cost. By effectively taking advantage of new technology tools, ELNES provides a unique resource for scholars interested in deep and consequential questions on Greek politics.<br>HelpMeVote 2015 is a Greek Voting Advice Application that was completed more than 570000 times in the period from its official beginning (07/01/2015) until the Election Day (25/01/2015). Following the cleaning techniques provided by Andreadis (2012, 2014) the cleaned dataset includes 543870 cases. The number of citizens who have participated in the Greek Parliamentary Elections of January 2015 is 6330786. Thus, if we suppose that all HelpMeVote users have used it only once and that almost all of them have participated in the elections, then we can estimate that HelpMeVote users are circa 8.6% of those who participated in the Greek Parliamentary Elections of January 2015. <br> Andreadis, I. (2012) To Clean or not to Clean? Improving the Quality of VAA Data XXII World Congress of Political Science (IPSA), Madrid <br> Andreadis, I. (2014) Data Quality and Data Cleaning in Garzia, D. Marschall, S. (eds) Matching Voters with Parties and Candidates. Voting Advice Applications in Comparative Perspective, ECPR Press <br>
DOI: 10.15468/e0vqt8
title: The dung beetle fauna of the Big Bend region of Texas (Coleoptera: Scarabaeidae: Scarabaeinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Edmonds, W. D. (2018): The dung beetle fauna of the Big Bend region of Texas (Coleoptera: Scarabaeidae: Scarabaeinae). Insecta Mundi 642: 1-30, DOI: http://doi.org/10.5281/zenodo.3708186
DOI: 10.15468/cjazfu
title: Melipona beecheii Bennett (Hymenoptera: Apidae): origen, estudios y meliponicultura en Cuba

description: This dataset contains the digitized treatments in Plazi based on the original journal article Genaro, Julio A., Lóriga, Walberto (2018): Melipona beecheii Bennett (Hymenoptera: Apidae): origen, estudios y meliponicultura en Cuba. Insecta Mundi 643: 1-18, DOI: http://doi.org/10.5281/zenodo.3708208
DOI: 10.15468/8jd99c
title: Additional state records for Coleoptera of South Carolina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ciegler, Janet C., Gemmill, Robert M. (2018): Additional state records for Coleoptera of South Carolina. Insecta Mundi 636: 1-5, DOI: http://doi.org/10.5281/zenodo.3708130
DOI: 10.3886/e114114v1-22981
title: Replication data for: The Macroeconomic Effects of Monetary Policy: A New Measure for the United Kingdom

description: This paper estimates the effects of monetary policy based on a new, extensive real-time dataset for the United Kingdom. Employing the Romer-Romer identification approach we construct a new measure of monetary policy innovations and find that a 1 percentage point increase in the policy rate reduces output by 0.6 percent and inflation by up to 1 percentage point after 2 to 3 years. Our use of forecast data is shown to be crucial and that their omission generates the well-known price puzzle. Our estimates are more comparable to the wider VAR literature but we also reconcile our findings with the Romer-Romer estimates for the United States.
DOI: 10.15468/ebwshf
title: New plant associations for adults of some species of Acmaeodera Eschscholtz (Coleoptera: Buprestidae) occurring in the western United States

description: This dataset contains the digitized treatments in Plazi based on the original journal article Westcott, Richard L., Raschko, Mike (2018): New plant associations for adults of some species of Acmaeodera Eschscholtz (Coleoptera: Buprestidae) occurring in the western United States. Insecta Mundi 644: 1-3, DOI: http://doi.org/10.5281/zenodo.3708218
DOI: 10.25345/c5w119
title: MassIVE MSV000085090 - SaBIR_Standard_Proteomics_DataSubmit2
title: Multiplexed proteomics of S. aureus bacteremia patient serum samples.