cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13016/ovqx-j09w
title: LiDAR and Magnetic Data for: Field Mapping and Modeling of Terrestrial Lava Tube Magnetic Anomalies as an Analog for Lunar Lava Tube Exploration and Prospecting

description: LiDAR data was captured using a Riegl VZ-400 tripod mounted terrestrial laser scanner. Outside of the tube, the tripod was set up such that the scanner was between 1.5 and 2.5 m tall. Inside the tube the tripod was sometimes as short as 0.5 m. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. In outside scans, before taking a LiDAR scan, the VZ-400 would use the GPSs to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Scan Positions were determined for in-tube scans (where GPS lock is not possible) in post processing by ensuring there was significant overlap between scans taken with GPS information and scans inside the mouth of a tube. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies in roll, pitch and yaw, were resolved using a multi station adjustment routine and the data were projected in UTM coordinates. All the Magnetic data collected at LBNM was collected using a Gem Systems GSM-19W magnetometer, mounted on an aluminum backpack frame at an elevation of ~2m, at a data point frequency of 2Hz.
description: Archived are Magnetic and LiDAR data collected at Lava Beds National Monument by the NASA funded TUBEX project (Dr. Kelsey Young – PI) in 2017 and 2018. The archived data are for a paper submitted to a JGR Planets special issue on Exploring Planetary Caves as Windows into Subsurface Geology, Habitability, and Astrology with the title: Field Mapping and Modeling of Terrestrial Lava Tube Magnetic Anomalies as an Analog for Lunar Lava Tube Exploration and Prospecting. We use observed data and detailed magnetic models to understand the practicality of mapping magnetic anomalies to determine lava tube locations and internal geometries within a lava flow.
DOI: 10.5281/zenodo.5790759
title: Graduation Dataset for Data Anonymization

description: No description provided.
DOI: 10.5281/zenodo.5790758
title: Graduation Dataset for Data Anonymization

description: No description provided.
DOI: 10.5517/ccdc.csd.cc28q5x3
title: CCDC 2106695: Experimental Crystal Structure Determination

description: Related Article: McKenna K. Goetz, Joseph E. Schneider, Alexander S. Filatov, Kate A. Jesse, John S. Anderson|2021|J.Am.Chem.Soc.|143|20849|doi:10.1021/jacs.1c09280
DOI: 10.5517/ccdc.csd.cc28q5z5
title: CCDC 2106697: Experimental Crystal Structure Determination

description: Related Article: McKenna K. Goetz, Joseph E. Schneider, Alexander S. Filatov, Kate A. Jesse, John S. Anderson|2021|J.Am.Chem.Soc.|143|20849|doi:10.1021/jacs.1c09280
DOI: 10.5517/ccdc.csd.cc297w9r
title: CCDC 2122734: Experimental Crystal Structure Determination

description: Related Article: Anurag Noonikara-Poyil, Hui Cui, Andrey A. Yakovenko, Peter W. Stephens, Rui-Biao Lin, Bin Wang, Banglin Chen, H.V. Rasika Dias|2021|Angew.Chem.,Int.Ed.|60|27184|doi:10.1002/anie.202109338
DOI: 10.5281/zenodo.5790773
title: AA-Pruebadeposito-AA

description: El fichero contiene datos sobre autores de novelas, número de libros publicados, país, edad y género literario de los libros que publican los autores.
DOI: 10.5281/zenodo.5790772
title: AA-Pruebadeposito-AA

description: El fichero contiene datos sobre autores de novelas, número de libros publicados, país, edad y género literario de los libros que publican los autores.
DOI: 10.5281/zenodo.5790785
title: Combined dynamical and morphological characterization of geodynamo simulations

description: Original scripts and data files for generating Figure 2, 3 and 7.
DOI: 10.15161/oar.it/74347
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.25721/hqc5-jh76
title: 6_04 - Cornouailles :  correspondance BAS Paris
DOI: 10.5281/zenodo.5789336
title: Copernicus EMS fire activations delimitations (2012 - 2020) rasterised at 30m and aggregated per year and season

description: This dataset was created as part of the Geo-harmonizer project, with the scope of making open data easier to access. It contains all the fire activations (forest fire, wild fire, wildfire) mapped by the Copernicus Emergency Rapid Mapping Service between 2012 and 2020. To obtain these GeoTIFFs, the vector data packages from CEMS were individually downloaded, rasterized and mosaicked per year and season, resampled at 30-m and reprojected to EPSG 3035: ETRS89-extended / LAEA Europe. If no CEMS fire activation was identified in a specific year and season, the raster was not created. The rasters are provided as COG files, type=16Int, nodata value is 255. To allow an easier and faster search through all 2012 - 2020 CEMS fire activations, we have prepared a point vector layer (geojson) containing one point for each fire activation area of interest with the following attributes attached: CEMS identification number &lt;ems_id&gt;, area of interest defined by CEMS &lt;ems_aoi&gt;, URL link to the CEMS activation &lt;ems_link&gt;, year of the event &lt;year_start&gt;, &lt;year_end&gt; , &lt;season&gt; and the name of the &lt;geo_harmonizer_raster&gt; where the 30m rasterised delimitations of the burned areas of the corresponding fire activation can be found. For any additional questions regarding the data please contact the author at codrina.ilie[at]terrasigna.com. The Copernicus Emergency Rapid Mapping Service data access policy is available here.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.5281/zenodo.5789335
title: Copernicus EMS fire activations delimitations (2012 - 2020) rasterised at 30m and aggregated per year and season

description: This dataset was created as part of the Geo-harmonizer project, with the scope of making open data easier to access. It contains all the fire activations (forest fire, wild fire, wildfire) mapped by the Copernicus Emergency Rapid Mapping Service between 2012 and 2020. To obtain these GeoTIFFs, the vector data packages from CEMS were individually downloaded, rasterized and mosaicked per year and season, resampled at 30-m and reprojected to EPSG 3035: ETRS89-extended / LAEA Europe. If no CEMS fire activation was identified in a specific year and season, the raster was not created. The rasters are provided as COG files, type=16Int, nodata value is 255. To allow an easier and faster search through all 2012 - 2020 CEMS fire activations, we have prepared a point vector layer (geojson) containing one point for each fire activation area of interest with the following attributes attached: CEMS identification number &lt;ems_id&gt;, area of interest defined by CEMS &lt;ems_aoi&gt;, URL link to the CEMS activation &lt;ems_link&gt;, year of the event &lt;year_start&gt;, &lt;year_end&gt; , &lt;season&gt; and the name of the &lt;geo_harmonizer_raster&gt; where the 30m rasterised delimitations of the burned areas of the corresponding fire activation can be found. For any additional questions regarding the data please contact the author at codrina.ilie[at]terrasigna.com. The Copernicus Emergency Rapid Mapping Service data access policy is available here.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.5281/zenodo.5789543
title: Dataset related to article "New composite physico-chemical indicators constructed by Bayesian inference for water quality monitoring"

description: These dataset are associated with the paper being submitted entitled: <strong>New composite physico-chemical indicators constructed by Bayesian inference for water quality monitoring.</strong> Data collection covered an 8-year period divided into two sets of years: 2002 to 2006 and 2014 to 2016. All data were acquired from several comparable scientific studies using the same methods (AFNOR,1997). Imputation of missing data was performed to complete this dataset using the non-parametric "missForest" algorithm for mixed-type data. Physico-chemical parameters were extracted from publications (Gnohossou, 2006; Odountan et al., 2019, Zandagba et al., 2016a, 2016b). 17 variables were measured: water temperature, transparency, turbidity, conductivity, salinity, pH, dissolved oxygen (DO), BOD, COD, Kjeldahl nitrogen (TKN), ammonium , nitrates , nitrites , dry organic matter (DM) content, orthophosphates, total phosphorus (TP), suspended solids (SS). The geographical distribution of the sampling points is made to cover the whole Nokoué lagoon complex. A total of 20 sampling points were surveyed. The parameters were measured according to the four seasons of the year and/or at the succession of high water, low water, high water, and low water-stretch transitions. Nine driving forces described as factors likely to induce pressures were retained to explain the physico-chemical characteristics of the Nokoué and complete this data set. The data resulting from the land use maps and relative to the distances between the considered stations and the tributaries can be improved in the future (Lead to other versions of this data set). As natural forcing variables, we have the sampling years, the seasons (SWS: short wet season or flood period; SDS: short dry season; LWS: long wet season; LDS: long dry season), the average monthly water level (MAWL) and the average wind speed (AWS), which is important in the context of Nokoué...
description: lac_Nokoue_brute : Real data ; lac_Nokoue_missForest : Data generated after imputation from the missForest algorithm
DOI: 10.6084/m9.figshare.17277401
title: Interactions JFM

description: The .tex files containing the data for all of the figures. <br>
DOI: 10.6084/m9.figshare.17277401.v1
title: Interactions JFM

description: The .tex files containing the data for all of the figures. <br>
DOI: 10.5281/zenodo.5788973
title: Wikidata Dump Observation towers

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.5788972
title: Wikidata Dump Observation towers

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: 10.34740/kaggle/dsv/2941351
title: Cryptocurrency extra data - Bitcoin Cash
DOI: 10.6084/m9.figshare.17277968
title: AA-Pruebadeposito-AA.xlsx

description: Mi fichero contiene datos relacionados con autores de novelas, concretamente, nombre del autor, país, número de libros publicados, edad y género literario de los libros publicados.
DOI: 10.6084/m9.figshare.17277968.v1
title: AA-Pruebadeposito-AA.xlsx

description: Mi fichero contiene datos relacionados con autores de novelas, concretamente, nombre del autor, país, número de libros publicados, edad y género literario de los libros publicados.
DOI: 10.5281/zenodo.5790821
title: Sample Multi-Modal BIDS dataset (v2.1)

description: This a sample BIDS dataset created for continous integration of the Connectome Mapper 3. This dataset was acquired at the Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, using a 3T Siemens Prisma MRI scanner. It adopts the sub-/ses- structure and contains one T1w anatomical MRI (MPRAGE), one diffusion MRI (DSI) , and one resting-state functional MRI as well as additional Freesurfer derivatives. It is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. (See https://creativecommons.org/licenses/by/4.0/ for more details) <strong><em>Changes</em></strong> <em>Version 2.1</em> Fix issues with the resampling of the DWI and rfMRI scans with Slicer. They were regenerated in version 2.1 with `mri_convert` to better handle the 4th dimension. For the sake of the size of the dataset, only 100 frames in the fMRI recording has been kept and the <em>sourcedata/</em> folder has been dropped but can be easily be retrieved in the previous 2.0 version (https://zenodo.org/record/5788803#.Yb2-giYo8bV). Version 2.0 For testing purposes, scans found in the root <em>sub-01</em> directory have been downsampled to 2x2x2 mm3 (MPRAGE), and to 3x3x3 mm3 (DSI and rfMRI) with the ResampleScalarVolume module of Slicer 4.6.2. A copy of the output produced in the terminal by Slicer has been created in the `code/` directory. Original data have been placed in <em>sourcedata/</em> in concordance to BIDS.
description: Work supported by SNF Sinergia Grant #170873. (http://p3.snf.ch/Project-170873)
DOI: 10.5281/zenodo.3708962
title: Sample Multi-Modal BIDS dataset (v2.1)

description: This a sample BIDS dataset created for continous integration of the Connectome Mapper 3. This dataset was acquired at the Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, using a 3T Siemens Prisma MRI scanner. It adopts the sub-/ses- structure and contains one T1w anatomical MRI (MPRAGE), one diffusion MRI (DSI) , and one resting-state functional MRI as well as additional Freesurfer derivatives. It is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. (See https://creativecommons.org/licenses/by/4.0/ for more details) <strong><em>Changes</em></strong> <em>Version 2.1</em> Fix issues with the resampling of the DWI and rfMRI scans with Slicer. They were regenerated in version 2.1 with `mri_convert` to better handle the 4th dimension. For the sake of the size of the dataset, only 100 frames in the fMRI recording has been kept and the <em>sourcedata/</em> folder has been dropped but can be easily be retrieved in the previous 2.0 version (https://zenodo.org/record/5788803#.Yb2-giYo8bV). Version 2.0 For testing purposes, scans found in the root <em>sub-01</em> directory have been downsampled to 2x2x2 mm3 (MPRAGE), and to 3x3x3 mm3 (DSI and rfMRI) with the ResampleScalarVolume module of Slicer 4.6.2. A copy of the output produced in the terminal by Slicer has been created in the `code/` directory. Original data have been placed in <em>sourcedata/</em> in concordance to BIDS.
description: Work supported by SNF Sinergia Grant #170873. (http://p3.snf.ch/Project-170873)
DOI: 10.5281/zenodo.5790824
title: Erythroxylum williamsii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5790823
title: Erythroxylum williamsii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5790831
title: Hindi Complex Word Feature Dataset

description: This dataset was created by conducting a human intelligence test, wherein native and non-native Hindi speakers annotated words they could not understand in Hindi text. They were then asked to rank the complexity of these words along with their synonyms. A word that received an average rank of &lt;=3 (out of 5) is labeled 1 and the word that received an average rank of &gt;3 is labeled 0. 1 indicates complex and 0 indicates simple.
DOI: 10.25625/aqqkgf/fsurxk
title: Documents.pdf

description: :unav
DOI: 10.5281/zenodo.5790830
title: Psittacara mitratus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5790829
title: Psittacara mitratus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5790838
title: Pyrrhura hoematotis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5790837
title: Pyrrhura hoematotis SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/2941529
title: Cryptocurrency extra data - Binance Coin
DOI: 10.15468/scrsgd
title: Achnanthidium gladius sp. nov. (Bacillariophyceae) - a new monoraphid diatom species from Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tseplik, Natalia D., Maltsev, Yevhen I., Glushchenko, Anton M., Kuznetsova, Irina V., Genkal, Sergei I., Gusev, Evgeniy S., Kulikovskiy, Maxim S. (2021): Achnanthidium gladius sp. nov. (Bacillariophyceae) - a new monoraphid diatom species from Indonesia. PhytoKeys 187: 129-140, DOI: http://dx.doi.org/10.3897/phytokeys.187.73913, URL: http://dx.doi.org/10.3897/phytokeys.187.73913
DOI: 10.25646/9451
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.17253044
title: Supporting Information for "Quantifying late Pleistocene to Holocene erosion rates in the Hami Basin, China: Geochemical insightsinto Pleistocene dust dynamics of an East Asian stony desert"

description: Cosmogenic nuclide parameters and results
DOI: 10.6084/m9.figshare.17253044.v1
title: Supporting Information for "Quantifying late Pleistocene to Holocene erosion rates in the Hami Basin, China: Geochemical insightsinto Pleistocene dust dynamics of an East Asian stony desert"

description: Cosmogenic nuclide parameters and results
DOI: 10.34740/kaggle/dsv/2941588
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/2941615
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/2941729
title: Cryptocurrency extra data - Bitcoin
DOI: 10.5281/zenodo.5790898
title: Human embryo time-lapse video dataset - Part 1

description: A human embryo time-lapse video dataset.
DOI: 10.5517/ccdc.csd.cc2029xb
title: CCDC 1849271: Experimental Crystal Structure Determination

description: Related Article: Walid Amamou, Rim Essalhi, Nassira Chniba-Boudjada, FatmaZouari|2021|J.Mol.Struct.|1252|132089|doi:10.1016/j.molstruc.2021.132089
DOI: 10.5517/ccdc.csd.cc27wykn
title: CCDC 2082442: Experimental Crystal Structure Determination

description: Related Article: Yue-Hu Pei, Li-Hua Zhang, Xi-Le Wu, Hong-Hua Wu, Hai-Feng Wang, Ya-Nan Wang, Gang Chen|2022|Phytochemistry|194|113000|doi:10.1016/j.phytochem.2021.113000
DOI: 10.34740/kaggle/dsv/2941775
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5790904
title: Human embryo time-lapse video dataset - Trained models

description: The trained models for the human embryo time-lapse video dataset.
DOI: 10.5281/zenodo.5789095
title: Human embryo time-lapse video dataset - Trained models

description: The trained models for the human embryo time-lapse video dataset.
DOI: 10.6084/m9.figshare.17126321
title: Gusela del Nuvolau Hyperspectral Data (Dolomites, Italy)

description: Supplementary information associated with the publication "Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs" publishedin Remote Sensing: <br><br>Thiele, S.T.; Bnoulkacem, Z.; Lorenz, S.; Bordenave, A.;<br>Menegoni, N.; Madriz, Y.; Dujoncquoy, E.; Gloaguen, R.;<br>Kenter, J. Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs. <i>Remote Sens. </i><b>2021</b>, <i>13</i>, x. https://doi.org/10.3390/xxxxx<br>For details, please refer to the paper.<br>
DOI: 10.6084/m9.figshare.17126321.v1
title: Gusela del Nuvolau Hyperspectral Data (Dolomites, Italy)

description: Supplementary information associated with the publication "Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs" publishedin Remote Sensing: <br><br>Thiele, S.T.; Bnoulkacem, Z.; Lorenz, S.; Bordenave, A.;<br>Menegoni, N.; Madriz, Y.; Dujoncquoy, E.; Gloaguen, R.;<br>Kenter, J. Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs. <i>Remote Sens. </i><b>2021</b>, <i>13</i>, x. https://doi.org/10.3390/xxxxx<br>For details, please refer to the paper.<br>
DOI: 10.3886/e157821
title: Profiles of Violent Radicalization

description: We used the University of Maryland START Global Terrorism Database (GTD) to create a total population sample of 4,646 terrorist incidents in Western Europe (WEUR) and the United States (US) from 1995-2018. We classified them into seven different violent ideologies: Anti-Government, Crime & Hate Crimes, Left-Wing, Right-Wing, Separatism, Takfiri, and Unknown and then categorized them for indications of swarm or fishermen suspected radicalization. From this data, we assembled a catalog of profiles, which we then subjected to statistical testing using a total population sample rather.
DOI: 10.3886/e157821v1
title: Profiles of Violent Radicalization

description: We used the University of Maryland START Global Terrorism Database (GTD) to create a total population sample of 4,646 terrorist incidents in Western Europe (WEUR) and the United States (US) from 1995-2018. We classified them into seven different violent ideologies: Anti-Government, Crime & Hate Crimes, Left-Wing, Right-Wing, Separatism, Takfiri, and Unknown and then categorized them for indications of swarm or fishermen suspected radicalization. From this data, we assembled a catalog of profiles, which we then subjected to statistical testing using a total population sample rather.
DOI: 10.34740/kaggle/dsv/2941976
title: Cryptocurrency extra data - EOS.IO
DOI: 10.6084/m9.figshare.17253881
title: Supplementary file- data sheets

description: Bilateral motor training is a useful method for modifying corticospinal excitability. The effects of artificial bilateral movement on corticospinal excitability through transcranial magnetic stimulation have not been reported. We compared motor-evoked potentials (MEPs) of primary motor cortex (M1) following conventional bilateral motor training and artificial bilateral movements generated through electromyogram activity of the abductor pollicis brevis (APB) muscle triggered peripheral nerve stimulation and TMS. Three sessions with different interventions were conducted involving healthy participants: bilateral finger training , right APB-triggered TMS of the ipsilateral M1 , and right APB-triggered contralateral median nerve stimulation . Each protocol consisted of 360 trials for 30 min each. Resting Motor Threshold showed no significant changes and MEP amplitude significantly increased up to 40 min post-intervention in all protocols. Short interval intracortical inhibition and intracortical facilitation changed and there were differences based on the intervention. . Thus, repetitive bilateral movements enhance corticospinal excitability, both voluntarily and artificially.