cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/f6ag-0v81
title: Parkes observations for project P1038 semester 2020APRS_21

description: PSR~J1759-2402 is one of a small handful of pulsars which are in orbit about high mass stars. Its orbital period is 8.2 years and the orbit is highly eccentric with periastron expected in 2021 January. Although discovered at Parkes, the Lovell telescope has been monitoring the pulsar over many years. However, it's restricted bandwidth and lack of polarization capability make it unsuitable to follow the pulsar as it enters and leaves the eclipse by the companion. In contrast, the UWL on Parkes with its wide-band and excellent polarization characteristics means that we can determine scattering, polarization, dispersion measure and rotation measure changes as the pulsar enters its companion wind. We request weekly observations of the pulsar to track its progress around the orbit.
DOI: 10.25919/hbd1-6w76
title: Parkes observations for project P1039 semester 2020APRS_07

description: Rotating Radio Transients (RRATs) are a group of sporadically emitting neutron stars. Their erratic single-pulse emission makes them hard to detect and consequently, our knowledge of even the basic parameters of the population is lacking. Here we propose an ambitious project to systematically review the spectral and rotational parameters of a large fraction (29) of the known RRAT population in the southern hemisphere, roughly 90 per cent of those that are well localised. Our project plays to the strengths of the newly commissioned Parkes UWL receiver and backend system, its wide 3.3-GHz instantaneous frequency coverage, excellent sensitivity and ability to coherently remove the effects of dispersion in the interstellar medium. The data will enable us to measure their absolute calibrated flux densities, polarimetric profiles, spectral behaviour, detection rates, inter-pulse waiting times and rotational parameters. Our measurements are crucial to understanding whether the RRATs form a distinct class from the ordinary radio pulsars and will inform observations and RRAT yields of surveys at upcoming facilities. Additionally, they will elucidate any potential relationship with pulses from repeating Fast Radio Bursts.
DOI: 10.5281/zenodo.4290989
title: Planetesimal gradual accretion and thermal dynamo results

description: Numerical modelling code used to produce data and figures in the publication Dodds et al., 2020 'The thermal evolution of planetesimals during accretion and differentiation: consequences for dynamo generation by thermally-driven convection.' Data used to produced figures in above publication also included here. Please contact Kathryn Dodds with any questions.
DOI: 10.5281/zenodo.4290980
title: VDAC/HK_complex

description: Structural models of VDAC and Hexokinase
DOI: 10.5281/zenodo.4290979
title: VDAC/HK_complex

description: Structural models of VDAC and Hexokinase
DOI: 10.25345/c56v2r
title: MassIVE MSV000086522 - GNPS - Burnett - Rat Pelvic Floor Muscles Test Dataset Upload 2
title: Upload 2. Test data from multiple pelvic floor muscles from rats. Data was acquired using a Bruker Maxis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
DOI: 10.6084/m9.figshare.13288889
title: Synthetic dataset for studying SOMs, version 1.

description: The data contain synthetic datasets describing atmospheric circulation variability over an idealized region. The exact specifications are given in a readme file.
DOI: 10.6084/m9.figshare.13288808
title: Raw data file_African Snail Project.csv

description: Giant African snail (<i>Achatina fulica</i>) population groups in urban areas of Cartagena, Colombia<br>This archive contains the following data:<br><br>- Name and coordinates of the sites where the snails were found<br>- Effective area sampled by each site represented in m2 to establish population density at each site<br>- Number of snails collected per site<br>- Size and weight measured for each snail to establish significant differences by site and determine the population structure and biomass of the snails<br> - Results of parasitological analyzes<br>- Some observations
DOI: 10.5281/zenodo.4291039
title: Phosphorus Content of Belwood Reservoir Sediment Core

description: <strong>On February 14, 2018, four sediment cores were obtained from Belwood Lake, an approximately 7-km2 reservoir in the upper Grand River Watershed that was created in 1941 as a result of dam construction.Of these four, one core, , 8.7 cm internal diameter and 47 cm long, was selected for sediment core dating and laboratory analysis. Cores were collected using a Glew hammer-driven gravity corer fitted with a lucite tube and were subsequently transported to the lab, where they were sectioned at 0.5-cm intervals. Sediment samples were sealed in plastic bags and refrigerated at 4℃ until undergoing further analysis. One of the four cores collected (47 cm long), was selected for sediment core dating and laboratory analysis.</strong> <strong>In the laboratory, sequential loss-on-ignition (LOI) analysis was performed using ~0.5-g subsamples of wet sediment from each core slice, as described previously, to obtain the organic matter and carbonate content. The sediment P content of core slices was determined by IC-OES (Thermo Scientific iCAP 6300) after digestion with potassium persulfate-sulfuric acid . A sediment core chronology was developed based on gamma ray spectrometric determination of 210Pb activity at contiguous 0.5-cm intervals, using previously described methods.</strong>
description: Data used in paper "Beyond the Mass Balance: Watershed phosphorus legacies and the evolution of the current water quality policy challenge," Van Meter et al., submitted to WRR 11/25/2020
DOI: 10.5281/zenodo.4291038
title: Phosphorus Content of Belwood Reservoir Sediment Core

description: <strong>On February 14, 2018, four sediment cores were obtained from Belwood Lake, an approximately 7-km2 reservoir in the upper Grand River Watershed that was created in 1941 as a result of dam construction.Of these four, one core, , 8.7 cm internal diameter and 47 cm long, was selected for sediment core dating and laboratory analysis. Cores were collected using a Glew hammer-driven gravity corer fitted with a lucite tube and were subsequently transported to the lab, where they were sectioned at 0.5-cm intervals. Sediment samples were sealed in plastic bags and refrigerated at 4℃ until undergoing further analysis. One of the four cores collected (47 cm long), was selected for sediment core dating and laboratory analysis.</strong> <strong>In the laboratory, sequential loss-on-ignition (LOI) analysis was performed using ~0.5-g subsamples of wet sediment from each core slice, as described previously, to obtain the organic matter and carbonate content. The sediment P content of core slices was determined by IC-OES (Thermo Scientific iCAP 6300) after digestion with potassium persulfate-sulfuric acid . A sediment core chronology was developed based on gamma ray spectrometric determination of 210Pb activity at contiguous 0.5-cm intervals, using previously described methods.</strong>
description: Data used in paper "Beyond the Mass Balance: Watershed phosphorus legacies and the evolution of the current water quality policy challenge," Van Meter et al., submitted to WRR 11/25/2020
DOI: 10.5517/ccdc.csd.cc23yt74
title: CCDC 1965066: Experimental Crystal Structure Determination

description: Related Article: Tian-Yang Yu, Wen-Hua Xu, Hong Lu, Hao Wei|2020|Chemical Science|11|12336|doi:10.1039/D0SC04326E
DOI: 10.5517/ccdc.csd.cc25b53t
title: CCDC 2005765: Experimental Crystal Structure Determination

description: Related Article: Qijian Ni, Xiaoxiao Song, Chin Wen Png, Yongliang Zhang, Yu Zhao|2020|Chemical Science|11|12329|doi:10.1039/D0SC02972F
DOI: 10.5517/ccdc.csd.cc25b54v
title: CCDC 2005766: Experimental Crystal Structure Determination

description: Related Article: Qijian Ni, Xiaoxiao Song, Chin Wen Png, Yongliang Zhang, Yu Zhao|2020|Chemical Science|11|12329|doi:10.1039/D0SC02972F
DOI: 10.5517/ccdc.csd.cc25b55w
title: CCDC 2005767: Experimental Crystal Structure Determination

description: Related Article: Qijian Ni, Xiaoxiao Song, Chin Wen Png, Yongliang Zhang, Yu Zhao|2020|Chemical Science|11|12329|doi:10.1039/D0SC02972F
DOI: 10.5517/ccdc.csd.cc25b56x
title: CCDC 2005768: Experimental Crystal Structure Determination

description: Related Article: Qijian Ni, Xiaoxiao Song, Chin Wen Png, Yongliang Zhang, Yu Zhao|2020|Chemical Science|11|12329|doi:10.1039/D0SC02972F
DOI: 10.5517/ccdc.csd.cc24l2c6
title: CCDC 1983577: Experimental Crystal Structure Determination

description: Related Article: S. Wojtulewski, J.W. Strawa, M. Tomczyk, M. Gawel, K. Brzezinski|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|957|doi:10.1107/S2052520620012196
DOI: 10.5517/ccdc.csd.cc24l2b5
title: CCDC 1983576: Experimental Crystal Structure Determination

description: Related Article: S. Wojtulewski, J.W. Strawa, M. Tomczyk, M. Gawel, K. Brzezinski|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|957|doi:10.1107/S2052520620012196
DOI: 10.5517/ccdc.csd.cc24l294
title: CCDC 1983575: Experimental Crystal Structure Determination

description: Related Article: S. Wojtulewski, J.W. Strawa, M. Tomczyk, M. Gawel, K. Brzezinski|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|957|doi:10.1107/S2052520620012196
DOI: 10.5517/ccdc.csd.cc24l283
title: CCDC 1983574: Experimental Crystal Structure Determination

description: Related Article: S. Wojtulewski, J.W. Strawa, M. Tomczyk, M. Gawel, K. Brzezinski|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|957|doi:10.1107/S2052520620012196
DOI: 10.5517/ccdc.csd.cc261w38
title: CCDC 2027589: Experimental Crystal Structure Determination

description: Related Article: Sania Saheli, Ali Reza Rezvani, Zahra Yavari, Michal Dusek, Monika Kucerakova|2020|Dalton Trans.|49|15864|doi:10.1039/D0DT03113E
DOI: 10.5517/ccdc.csd.cc265kpn
title: CCDC 2031141: Experimental Crystal Structure Determination

description: Related Article: D.N. Evtushenko, S.G. Arkhipov, A.V. Fateev, T.I. Izaak, L.A. Egorova, N.A. Skorik, O.V. Vodyankina, E.V. Boldyreva|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|967|doi:10.1107/S2052520620012421
DOI: 10.5517/ccdc.csd.cc265kqp
title: CCDC 2031142: Experimental Crystal Structure Determination

description: Related Article: D.N. Evtushenko, S.G. Arkhipov, A.V. Fateev, T.I. Izaak, L.A. Egorova, N.A. Skorik, O.V. Vodyankina, E.V. Boldyreva|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|967|doi:10.1107/S2052520620012421
DOI: 10.5517/ccdc.csd.cc25bzs9
title: CCDC 2006561: Experimental Crystal Structure Determination

description: Related Article: Santosh Kumar, Sujay Kumar Nandi, Saurav Suman, Debasish Haldar|2020|CrystEngComm|22|7975|doi:10.1039/D0CE01199A
DOI: 10.5517/ccdc.csd.cc25by8r
title: CCDC 2006514: Experimental Crystal Structure Determination

description: Related Article: Santosh Kumar, Sujay Kumar Nandi, Saurav Suman, Debasish Haldar|2020|CrystEngComm|22|7975|doi:10.1039/D0CE01199A
DOI: 10.5517/ccdc.csd.cc25bztb
title: CCDC 2006562: Experimental Crystal Structure Determination

description: Related Article: Santosh Kumar, Sujay Kumar Nandi, Saurav Suman, Debasish Haldar|2020|CrystEngComm|22|7975|doi:10.1039/D0CE01199A
DOI: 10.15468/3avgvh
title: New species of Orasema (Hymenoptera: Eucharitidae) from Central and South America

description: This dataset contains the digitized treatments in Plazi based on the original journal article Heraty, John M., Baker, Austin J. (2020): New species of Orasema (Hymenoptera: Eucharitidae) from Central and South America. Journal of Natural History 54 (9): 735-754, DOI: 10.1080/00222933.2020.1747651
DOI: 10.6084/m9.figshare.12576038
title: Code and data to reproduce "Exploring the dimensions of metapopulation persistence: a comparison of structural and temporal measures"

description: Code and data to reproduce the analyses from:<br><br>&gt; Dallas, T., M Saastamoinen, O Ovaskainen (2020) Exploring the dimensions of metapopulation persistence: a comparison of structural and temporal measures. Theoretical Ecology.<br><br>
DOI: 10.6084/m9.figshare.12576038.v1
title: Code and data to reproduce "Exploring the dimensions of metapopulation persistence: a comparison of structural and temporal measures"

description: Code and data to reproduce the analyses from:<br><br>&gt; Dallas, T., M Saastamoinen, O Ovaskainen (2020) Exploring the dimensions of metapopulation persistence: a comparison of structural and temporal measures. Theoretical Ecology.<br><br>
DOI: 10.5283/epub.36130
title: Data archive of "How performance (non-)contingent reward modulates cognitive control", Acta Psychologica

description: Raw data archive with coding sheet
description: Raw data files with description / Rohdaten mit Beschreibung
DOI: 10.5281/zenodo.4110053
title: OSIRIS Ozone v5.07

description: OSIRIS spectra of limb scattered sunlight are used to retrieve ozone number density vertical profiles over the altitude range from 10 to 60 km at a vertical resolution of approximately 1.5 km using the a Multiplicative Algebraic Reconstruction Technique, which is a one dimensional modification of a two-dimensional tomographic retrieval algorithm. This technique allows for the consistent merging of the absorption information from radiance measurements at wavelengths in the Chappuis and the Hartley-Huggins bands at each iteration of the inversion. A set of weighting factors is used to determine the importance of each line of sight and each element of the measurement vector for the retrieved state at each altitude. Retrieval algorithm details can be found in Degenstein et al., 2009. Version 5.07, which does not implement a tangent altitude registration correction algorithm has been superceeded by version 5.10.
description: Global Coverage, 2001-2010
DOI: 10.5281/zenodo.4110052
title: OSIRIS Ozone v5.07

description: OSIRIS spectra of limb scattered sunlight are used to retrieve ozone number density vertical profiles over the altitude range from 10 to 60 km at a vertical resolution of approximately 1.5 km using the a Multiplicative Algebraic Reconstruction Technique, which is a one dimensional modification of a two-dimensional tomographic retrieval algorithm. This technique allows for the consistent merging of the absorption information from radiance measurements at wavelengths in the Chappuis and the Hartley-Huggins bands at each iteration of the inversion. A set of weighting factors is used to determine the importance of each line of sight and each element of the measurement vector for the retrieved state at each altitude. Retrieval algorithm details can be found in Degenstein et al., 2009. Version 5.07, which does not implement a tangent altitude registration correction algorithm has been superceeded by version 5.10.
description: Global Coverage, 2001-2010
DOI: 10.5283/epub.35799
title: The flexible engagement of monitoring processes in non-focal and focal prospective memory tasks with salient cues
DOI: 10.5283/epub.35694
title: Data archive of "The role of affective evaluation in conflict adaptation: An LRP study"

description: Raw data files with description / Rohdaten mit Beschreibung
DOI: 10.21227/nvfk-hb73
title: Arabic News Headlines

description: This dataset is offered as .csv and is part of 3 files which are:- File 1: has all 1699 arabic news headlines colllected with the corresponding emotion classification that 3 annotators agreed on with no bias- File 2: has the dataset with BOW features extracted- File 3: has the dataset with n-gram features extracted
DOI: 10.5283/epub.35595
title: Documentation of a Systematic Literature Search: Determinants of Quality of Life and Return to Work Following Acute Respiratory Distress Syndrome - A Systematic Review
DOI: 10.5281/zenodo.4250706
title: Characterization of Industrial Smoke Plumes from Remote Sensing Data

description: <strong>Characterization of Industrial Smoke Plumes from Remote Sensing Data</strong><br> This data set contains imaging data acquired by ESA's Sentinel-2 Earth-observing satellite constellation for a sample of industrial sites that were picked based on emission information provided by the European Pollutant Release and Transfer Register. The images contain scenes of mainly industrial sites, some of which are actively emitting smoke plumes. This data set was created to investigate whether it would be possible to train a deep learning model to automatically identify and segment smoke plumes from remote sensing image data. Please refer to the acknowledgements section for more on information on this project. <br> <strong>Description</strong> Each image is provided in the GeoTIFF file format, contains a total of 13 bands and georeferencing information, and has a shape of 120 x 120 pixels (corresponding to a square area with an edge length of 1.2 km on the ground). The bands are extracted from Sentinel-2 Level-2A products, except for band 10, which has been extracted from the<br> corresponding Level-1C product (this band has not been utilized in the underlying work). This repository contains a total of 21,350 images. Based on manual annotation, the image sample was split into a sample of 3,750 <em>positive</em> images that contain industrial smoke plumes, and 17,600 <em>negative</em> images that do not contain smoke plumes. Furthermore, this repository contains a collection of JSON files that hold manual segmentation labels for smoke plumes present in 1,437 images. Segmentation labels were generated using label-studio. Please note that polygon edge coordinates have to be scaled by a factor of 1.2 to fit the images. <br> <strong>Content</strong> The following tarballs are contained in this repository: README.md - this file images.tar.gz [6.0GB] - contains 21,350 GeoTIFF images segmentation_labels.tar.gz [350KB] - contains 1,437 JSON files <strong>Acknowledgement</strong> If you use this data set, please cite our publication: <em>Mommert, M., Sigel, M., Neuhausler, M., Scheibenreif, L., Borth, D., "Characterization of Industrial Smoke Plumes from Remote Sensing Data", Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.</em> Please refer to this publication for additional information on the data set. The code used for this publication is available at github. This data set contains modified Copernicus Sentinel data acquired in 2019, processed by ESA. <strong>Responsible Author</strong> Michael Mommert<br> University of St. Gallen, Institute of Computer Science<br> Chair Artificial Intelligence and Machine Learning<br> michael.mommert ( at ) unisg.ch
DOI: 10.5281/zenodo.4250705
title: Characterization of Industrial Smoke Plumes from Remote Sensing Data

description: <strong>Characterization of Industrial Smoke Plumes from Remote Sensing Data</strong><br> This data set contains imaging data acquired by ESA's Sentinel-2 Earth-observing satellite constellation for a sample of industrial sites that were picked based on emission information provided by the European Pollutant Release and Transfer Register. The images contain scenes of mainly industrial sites, some of which are actively emitting smoke plumes. This data set was created to investigate whether it would be possible to train a deep learning model to automatically identify and segment smoke plumes from remote sensing image data. Please refer to the acknowledgements section for more on information on this project. <br> <strong>Description</strong> Each image is provided in the GeoTIFF file format, contains a total of 13 bands and georeferencing information, and has a shape of 120 x 120 pixels (corresponding to a square area with an edge length of 1.2 km on the ground). The bands are extracted from Sentinel-2 Level-2A products, except for band 10, which has been extracted from the<br> corresponding Level-1C product (this band has not been utilized in the underlying work). This repository contains a total of 21,350 images. Based on manual annotation, the image sample was split into a sample of 3,750 <em>positive</em> images that contain industrial smoke plumes, and 17,600 <em>negative</em> images that do not contain smoke plumes. Furthermore, this repository contains a collection of JSON files that hold manual segmentation labels for smoke plumes present in 1,437 images. Segmentation labels were generated using label-studio. Please note that polygon edge coordinates have to be scaled by a factor of 1.2 to fit the images. <br> <strong>Content</strong> The following tarballs are contained in this repository: README.md - this file images.tar.gz [6.0GB] - contains 21,350 GeoTIFF images segmentation_labels.tar.gz [350KB] - contains 1,437 JSON files <strong>Acknowledgement</strong> If you use this data set, please cite our publication: <em>Mommert, M., Sigel, M., Neuhausler, M., Scheibenreif, L., Borth, D., "Characterization of Industrial Smoke Plumes from Remote Sensing Data", Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.</em> Please refer to this publication for additional information on the data set. The code used for this publication is available at github. This data set contains modified Copernicus Sentinel data acquired in 2019, processed by ESA. <strong>Responsible Author</strong> Michael Mommert<br> University of St. Gallen, Institute of Computer Science<br> Chair Artificial Intelligence and Machine Learning<br> michael.mommert ( at ) unisg.ch
DOI: 10.5281/zenodo.4118269
title: Dataset de les xarxes socials de les biblioteques públiques de Catalunya

description: Dataset dels perfils de les xarxes socials i blog de les biblioteques públiques de Catalunya. Aquest fitxer inclou: Xarxes de biblioteques Biblioteques Sales de lectura Punt d'accés, Bibliobusos Perfils actualitzats a Abril de 2020. Hi ha tres fitxers que contenen la mateixa informació. Un full de càlcul versió Microsoft Excel<strong> (.xlsx), </strong>un fitxer tabulat<strong> (.csv) </strong>i un fitxer en format text pla<strong> (.txt). </strong> Cada registre disposa de les dades següents: Comarca, àmbit, província, municipi, denominació i les dreceres de Facebook, Instagram, Twitter, YouTube, i blogs Recordeu fer la citació corresponent dels autors si utilitzeu aquest dataset.
DOI: 10.5281/zenodo.4118268
title: Dataset de les xarxes socials de les biblioteques públiques de Catalunya

description: Dataset dels perfils de les xarxes socials i blog de les biblioteques públiques de Catalunya. Aquest fitxer inclou: Xarxes de biblioteques Biblioteques Sales de lectura Punt d'accés, Bibliobusos Perfils actualitzats a Abril de 2020. Hi ha tres fitxers que contenen la mateixa informació. Un full de càlcul versió Microsoft Excel<strong> (.xlsx), </strong>un fitxer tabulat<strong> (.csv) </strong>i un fitxer en format text pla<strong> (.txt). </strong> Cada registre disposa de les dades següents: Comarca, àmbit, província, municipi, denominació i les dreceres de Facebook, Instagram, Twitter, YouTube, i blogs Recordeu fer la citació corresponent dels autors si utilitzeu aquest dataset.
DOI: 10.5283/epub.35252
title: Dokumentation einer Systematischen Literatursuche: Determinanten gesundheitsbezogener Lebensqualität und des Wiedereintritts in das Erwerbsleben bei Überlebenden eines akuten schweren Lungenversagens (ARDS)
DOI: 10.5283/epub.35220
title: TMS-EEG-Tinnitus
DOI: 10.5283/epub.35079
title: PAS study 2 data
DOI: 10.5283/epub.35061
title: Data archive of "How performance-contingent reward prospect modulates cognitive control: Increased cue maintenance at the cost of decreased flexibility"