cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27wt65
title: CCDC 2082307: Experimental Crystal Structure Determination

description: Related Article: Lilia Croitor, Maria Cocu, Ion Bulhac, Paulina N. Bourosh, Victor Ch. Kravtsov, Oleg Petuhov, Olga Danilescu|2021|Polyhedron|206|115329|doi:10.1016/j.poly.2021.115329
DOI: 10.34740/kaggle/dsv/2412307
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/2412311
title: Twitter: Trending Tweets per week (updated weekly)
DOI: 10.34740/kaggle/dsv/2412326
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.14945808
title: Metagenomic Next-Generation Sequencing Achieves Timely and Precise Pathogen Detection of Severe Pneumonia in Children with Hematologic Malignancy or undergoing allogeneic hematopoietic stem cell transplantation

description: Metagenomic Next-Generation Sequencing Achieves Timely and Precise Pathogen Detection of Severe Pneumonia in Children with Hematologic Malignancy or undergoing allogeneic hematopoietic stem cell transplantation
DOI: 10.6084/m9.figshare.14945808.v1
title: Metagenomic Next-Generation Sequencing Achieves Timely and Precise Pathogen Detection of Severe Pneumonia in Children with Hematologic Malignancy or undergoing allogeneic hematopoietic stem cell transplantation

description: Metagenomic Next-Generation Sequencing Achieves Timely and Precise Pathogen Detection of Severe Pneumonia in Children with Hematologic Malignancy or undergoing allogeneic hematopoietic stem cell transplantation
DOI: 10.6084/m9.figshare.14709507.v1
title: PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

description: We introduce PROCAT, a novel e-commerce dataset containing 10,000 expertly designed product catalogues consisting of individual product offers grouped into complementary sections. We aim to address the scarcity of existing datasets in the area of set-to-sequence machine learning tasks, which require complex structure prediction through both implicit clustering and outputting permutations of the predicted clusters. This task's difficulty is further increased by the need to handle rare and unseen offer instances as well as variable catalogue lengths and cluster counts. PROCAT provides catalogue data consisting of over 1.5 million offers across a 4 year period, in both raw text form and with pre-processed features containing information about relative visual placement. In the related paper we include initial experimental results on a proposed benchmark task by testing a number of joint set encoding and permutation learning model architectures.
DOI: 10.34740/kaggle/dsv/2412382
title: COVID-19 Indonesia Dataset
DOI: 10.5281/zenodo.5089799
title: GHG data from inverse models and UNFCCC national inventories v0.1

description: <strong>GHG (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O) data from inverse models and UNFCCC national inventories</strong> This dataset contains 5 datasets, including GHG data from inverse models and UNFCCC national inventories in the top emitter countries: - <strong>CO2_inversion_1990-2019</strong>: annual CO<sub>2</sub> flux from from 6 inversion models in three sectors: 'land flux (all land)' -&gt; land flux from all land 'land flux (managed land)' -&gt; land flux from managed land 'land flux (managed land + lateral adjustment)' -&gt; land flux from managed land by adjusting the lateral flux - <strong>CH4_inversion_2000-2017</strong>: CH<sub>4</sub> flux from from 10 in-situ inversion (2000-2017) and 11 satellite inversion (2010-2017) models from four sectors: 'anthropogenic (method x)' -&gt; anthropogenic emissions from managed land. x could be 1, 2, 3.1 and 3.2, representing different methods to calculate the emissions in this sector: 'fossil' -&gt; emissions from the fossil sector 'agriculture & waste' -&gt; emissions from the agriculture and waste sector combined 'biomass burning' -&gt; emissions from biomass burning - <strong>N2O_inversion_1997-2016</strong>: anthropogenic N<sub>2</sub>O emissions from from 3 models. - <strong>Inventory_1990-2019</strong>: inventory data collecting from UNFCCC national inventories. The classification of sectors is corresponding with the inversion data files for each gas specie. - <strong>Inventory_1990-2019_IPCC</strong>: inventory data collecting from UNFCCC national inventories in IPCC category.
DOI: 10.5281/zenodo.5089798
title: GHG data from inverse models and UNFCCC national inventories v0.1

description: <strong>GHG (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O) data from inverse models and UNFCCC national inventories</strong> This dataset contains 5 datasets, including GHG data from inverse models and UNFCCC national inventories in the top emitter countries: - <strong>CO2_inversion_1990-2019</strong>: annual CO<sub>2</sub> flux from from 6 inversion models in three sectors: 'land flux (all land)' -&gt; land flux from all land 'land flux (managed land)' -&gt; land flux from managed land 'land flux (managed land + lateral adjustment)' -&gt; land flux from managed land by adjusting the lateral flux - <strong>CH4_inversion_2000-2017</strong>: CH<sub>4</sub> flux from from 10 in-situ inversion (2000-2017) and 11 satellite inversion (2010-2017) models from four sectors: 'anthropogenic (method x)' -&gt; anthropogenic emissions from managed land. x could be 1, 2, 3.1 and 3.2, representing different methods to calculate the emissions in this sector: 'fossil' -&gt; emissions from the fossil sector 'agriculture & waste' -&gt; emissions from the agriculture and waste sector combined 'biomass burning' -&gt; emissions from biomass burning - <strong>N2O_inversion_1997-2016</strong>: anthropogenic N<sub>2</sub>O emissions from from 3 models. - <strong>Inventory_1990-2019</strong>: inventory data collecting from UNFCCC national inventories. The classification of sectors is corresponding with the inversion data files for each gas specie. - <strong>Inventory_1990-2019_IPCC</strong>: inventory data collecting from UNFCCC national inventories in IPCC category.
DOI: 10.34740/kaggle/dsv/2412436
title: COVID Vaccination in World (updated daily)
DOI: 10.21227/fk5v-jp59
title: New configuration of Waveguide Triplexer with Frequency Multiband BPF with the Purpose of Improvement of Return Signal Losses and Diminution of Time Delay for Application of Short-band Telecommunications Radars and Optic Devices

description: In this paper, the design and fabrication ofWaveguide Triplexer (WT) model in 1GHz-5GHz frequencyband width, with the capability of determination of threefrequency bands (first band: 1700MHz to 2200MHZ, secondband: 2600MHz to 3100MHz, and third band: 3500MHZ to4000MHz) in Band Pass Filter (BPF) structure in the form ofa separate branch for each of the triplexer branches havebeen simulated. The purpose of this investigation is diminutionof return signal losses and improvement of signal isolationand, as well, diminution of signal time delay in multibandwaveguide triplexer filters. The technical structure ofBPF geometry has been designed in the form of rectangulargeometry of T-shaped waveguide, with regular transversecylindrical cavity configuration in radiation proportional toH-Plane and E-Plane. One of the other advantages of thisinvestigation is seen in full wave transmission with the leastsignal deviation and weakening. Also, it has application intelecommunications radars and optical devices industries.The dimensions of the proposed design are 5.99λ0*2.9 λ0,the dimensions of which have diminished. The proposeddesign has been simulated in CST Microwave Studio.
DOI: 10.34740/kaggle/dsv/2412464
title: Wunderground_PWS_Curitiba_2021
DOI: 10.5281/zenodo.5081121
title: Data for the manuscript "Direct visualization of colloid transport across a natural heterogeneous fractured rock surface"

description: The files contain the data used to produce the figures in the manuscript "Direct visualization of colloid transport across a natural heterogeneous fractured rock surface" by Borgman, Be'er, and Weisbrod. Included in the data set: ImageAnalysesAndPlots.m: A MATLAB script to generate the figures from the included images and data files. myCmap.mat: A custom set of colors for the images. LH_btc.csv, LH_b_btc.csv, HH_btc.csv, HH_b_btc.csv: Data for the breakthrough curves. LH_t=360min.czi, HH_t=300min.czi: Final images from the experiments, from which the residual surface fluorescence is calculated. LHSurfTopo.csv, HHSurfTopo.csv: Tables containing the profilometer scan data. LH, HH: Folders containing the For the .czi files, it's necessary to use the Bio-Formats for MATLAB package.
DOI: 10.5281/zenodo.5089503
title: Wikidata Dump test_1

description: RDF dump of wikidata produced with wdumps. test_1<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5089502
title: Wikidata Dump test_1

description: RDF dump of wikidata produced with wdumps. test_1<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.34740/kaggle/dsv/2412603
title: COVID-19 Indonesia Dataset
DOI: 10.5281/zenodo.5089852
title: Source Data for "Imaging biological tissue with high-throughput single-pixel compressive holography"

description: This file contains five subfolders, which are archived with relevant data that are necessary for reconstructing the holographic images of biological samples and resolution targets, respectively. <br> Here we introduce in order:<br> 1. 'dataset 1' is prepared for holographic reconstruction of stained tissue from mouse tails;<br> 2. 'dataset 2' is provided for holographic reconstruction of unstained tissue from mouse brains.<br> 3. 'dataset 3' is provided for verification of amplitude resolution in large-FOV mode;<br> 4. 'dataset 4' is provided for verification of amplitude resolution in high-resolution mode;<br> 5. 'dataset 5' is provided for verification of phase resolution in high-resolution mode; Both subfolders have the same structures, including the MATLAB data and raw data collected from the data acquisition card, which are necessary for holographic imaging reconstruction.<br> Here we introduce in order:<br> *) biological_sample.mat: The raw data of imaging biological sample. The format of the data has been converted from .tdms to .mat file. *) target_sample.mat: The raw data of imaging resolution target. The format of the data has been converted from .tdms to .mat file. *) background_curvature.mat: The raw data used to correct for phase contaminations from system aberrations. The format of the data has been converted from .tdms to .mat file. *) biological_sample_rawdata.tdms: The raw data of imaging biological sample. The data was collected through DAC and was in the format of TDMS. *) target_sample_rawdata.tdms: The raw data of imaging resolution target. The data was collected through DAC and was in the format of TDMS. *) background_curvature_rawdata.tdms: The raw data used to correct for phase contaminations from system aberrations. The data was collected through DAC and was in the format of TDMS.<br>
DOI: 10.6084/m9.figshare.14642472
title: Low winter precipitation, but not warm autumns and springs, threatens mountain butterflies in middle-high mountains

description: This dataset contains data used in the following manuscript:<br>Konvicka M., Kuras T., Liparova J., Slezak V., Horazna D., Klecka J., & Kleckova I. (2021). Low winter precipitation, but not warm autumns and springs, threatens mountain butterflies in middle-high mountains.<br><br>
DOI: 10.6084/m9.figshare.14642472.v2
title: Low winter precipitation, but not warm autumns and springs, threatens mountain butterflies in middle-high mountains

description: This dataset contains data used in the following manuscript:<br>Konvicka M., Kuras T., Liparova J., Slezak V., Horazna D., Klecka J., & Kleckova I. (2021). Low winter precipitation, but not warm autumns and springs, threatens mountain butterflies in middle-high mountains.<br><br>
DOI: 10.6084/m9.figshare.14642472.v1
title: Low winter precipitation, but not warm autumns and springs, threaten mountain butterflies in middle-high mountains

description: This dataset contains data used in the following manuscript:<br>Konvicka M., Kuras T., Liparova J., Slezak V., Horazna D., Klecka J., & Kleckova I. (2021). Low winter precipitation, but not warm autumns and springs, threaten mountain butterflies in middle-high mountains.<br><br>
DOI: 10.34740/kaggle/dsv/2412651
title: Dutch News Articles
DOI: 10.5281/zenodo.4792255
title: Dataset for article Photodissociation of aliphatic PAH derivatives under relevant astrophysical conditions

description: The experimental data are provided in subfolders by species, which contain each three files:<br> (i) the normalized intensities (Eq. 1 in the article) for the mass peaks corresponding to the parent cation and its fragments as a function of the VUV irradiation time,<br> (ii) the experimental error bars associated with these intensities,<br> (iii) the curves corresponding to the fitting functions that were derived with the procedure described in Sect. 2.4. Each folder is named by the parents species:<br> Pyr+ for pyrene (C16H10+),<br> H6-Pyr+ for 1,2,3,6,7,8-hexahydro-pyrene (C16H16+),<br> MePyr+ for 1-methylpyrene (C17H12+),<br> EtPyr+ for 4-ethyl-pyrene (C18H14+),<br> Cor+ for coronene (C24H12+),<br> MeCor+ for methyl-coronene (C25H14+),<br> EtCor+ for ethyl-coronene (C26H16+). In addition, the VUV_source folder contains the measurements corresponding to the VUV source calibration (see Fig. A.1 in the article appendix). The folder for TD-DFT calculations gathers the calculated photoabsorption cross-sections for all species of interest (see Fig. D.1 in the article appendix).
DOI: 10.5281/zenodo.4792254
title: Dataset for article Photodissociation of aliphatic PAH derivatives under relevant astrophysical conditions

description: The experimental data are provided in subfolders by species, which contain each three files:<br> (i) the normalized intensities (Eq. 1 in the article) for the mass peaks corresponding to the parent cation and its fragments as a function of the VUV irradiation time,<br> (ii) the experimental error bars associated with these intensities,<br> (iii) the curves corresponding to the fitting functions that were derived with the procedure described in Sect. 2.4. Each folder is named by the parents species:<br> Pyr+ for pyrene (C16H10+),<br> H6-Pyr+ for 1,2,3,6,7,8-hexahydro-pyrene (C16H16+),<br> MePyr+ for 1-methylpyrene (C17H12+),<br> EtPyr+ for 4-ethyl-pyrene (C18H14+),<br> Cor+ for coronene (C24H12+),<br> MeCor+ for methyl-coronene (C25H14+),<br> EtCor+ for ethyl-coronene (C26H16+). In addition, the VUV_source folder contains the measurements corresponding to the VUV source calibration (see Fig. A.1 in the article appendix). The folder for TD-DFT calculations gathers the calculated photoabsorption cross-sections for all species of interest (see Fig. D.1 in the article appendix).
DOI: 10.6084/m9.figshare.14125435
title: A new musculoskeletal AnyBody™ detailed hand model

description: Musculoskeletal research questions regarding the prevention or rehabilitation of the hand can be addressed using inverse dynamics simulations when experiments are not possible. To date, no complete human hand model implemented in a holistic human body model has been fully developed. The aim of this work was to develop, implement, and validate a fully detailed hand model using the AnyBody Modelling System (AMS) (AnyBody, Aalborg, Denmark). To achieve this, a consistent multiple cadaver dataset, including all extrinsic and intrinsic muscles, served as a basis. Various obstacle methods were implemented to obtain with the correct alignment of the muscle paths together with the full range of motion of the fingers. These included tori, cylinders, and spherical ellipsoids. The origin points of the lumbrical muscles within the tendon of the flexor digitorum profundus added a unique feature to the model. Furthermore, the possibility of an entire patient-specific scaling based on the hand length and width were implemented in the model. For model validation, experimental datasets from the literature were used, which included the comparison of numerically calculated moment arms of the wrist, thumb, and index finger muscles. In general, the results displayed good comparability of the model and experimental data. However, the extrinsic muscles showed higher accordance than the intrinsic ones. Nevertheless, the results showed, that the proposed developed inverse dynamics hand model offers opportunities in a broad field of applications, where the muscles and joint forces of the forearm play a crucial role.
DOI: 10.6084/m9.figshare.14125435.v1
title: A new musculoskeletal AnyBody™ detailed hand model

description: Musculoskeletal research questions regarding the prevention or rehabilitation of the hand can be addressed using inverse dynamics simulations when experiments are not possible. To date, no complete human hand model implemented in a holistic human body model has been fully developed. The aim of this work was to develop, implement, and validate a fully detailed hand model using the AnyBody Modelling System (AMS) (AnyBody, Aalborg, Denmark). To achieve this, a consistent multiple cadaver dataset, including all extrinsic and intrinsic muscles, served as a basis. Various obstacle methods were implemented to obtain with the correct alignment of the muscle paths together with the full range of motion of the fingers. These included tori, cylinders, and spherical ellipsoids. The origin points of the lumbrical muscles within the tendon of the flexor digitorum profundus added a unique feature to the model. Furthermore, the possibility of an entire patient-specific scaling based on the hand length and width were implemented in the model. For model validation, experimental datasets from the literature were used, which included the comparison of numerically calculated moment arms of the wrist, thumb, and index finger muscles. In general, the results displayed good comparability of the model and experimental data. However, the extrinsic muscles showed higher accordance than the intrinsic ones. Nevertheless, the results showed, that the proposed developed inverse dynamics hand model offers opportunities in a broad field of applications, where the muscles and joint forces of the forearm play a crucial role.
DOI: 10.5517/ccdc.csd.cc25f4lc
title: CCDC 2008632: Experimental Crystal Structure Determination

description: Related Article: Ze-Shui Liu, Pei-Pei Xie, Yu Hua, Chenggui Wu, Yuanyuan Ma, Jiangwei Chen, Hong-Gang Cheng, Xin Hong, Qianghui Zhou|2021|Cell Press: Chem|7|1917|doi:10.1016/j.chempr.2021.04.005
DOI: 10.5517/ccdc.csd.cc27dyf1
title: CCDC 2068023: Experimental Crystal Structure Determination

description: Related Article: Jian Sun, Hendrik Verplancke, Julia I. Schweizer, Martin Diefenbach, Christian Würtele, Matthias Otte, Igor Tkach, Christian Herwig, Christian Limberg, Serhiy Demeshko, Max C. Holthausen, Sven Schneider|2021|Cell Press: Chem|7|1952|doi:10.1016/j.chempr.2021.06.006
DOI: 10.5517/ccdc.csd.cc27dyg2
title: CCDC 2068024: Experimental Crystal Structure Determination

description: Related Article: Jian Sun, Hendrik Verplancke, Julia I. Schweizer, Martin Diefenbach, Christian Würtele, Matthias Otte, Igor Tkach, Christian Herwig, Christian Limberg, Serhiy Demeshko, Max C. Holthausen, Sven Schneider|2021|Cell Press: Chem|7|1952|doi:10.1016/j.chempr.2021.06.006
DOI: 10.5517/ccdc.csd.cc27dyh3
title: CCDC 2068025: Experimental Crystal Structure Determination

description: Related Article: Jian Sun, Hendrik Verplancke, Julia I. Schweizer, Martin Diefenbach, Christian Würtele, Matthias Otte, Igor Tkach, Christian Herwig, Christian Limberg, Serhiy Demeshko, Max C. Holthausen, Sven Schneider|2021|Cell Press: Chem|7|1952|doi:10.1016/j.chempr.2021.06.006
DOI: 10.6084/m9.figshare.14946036
title: Análisis de mensajes.xlsx

description: Communication campaigns to educate people on the prevention of the spread of COVID-19 became a priority around the world due to the rapid spread and serious consequences of the virus. For this, a qualitative content analysis of global campaigns issued in English and Spanish for COVID-19 was carried out, using Google as a search platform. The sample was made up of 52 campaigns launched in 17 countries throughout 2020, with a total sample of 504 messages. A coding sheet was used as the data collection instrument, which integrated the units, categories and subcategories of analysis. These campaigns varied by country, time of year, campaign stage, and content. The messages were adapted according to the spread of the virus and local changes and advances made in health matters. The campaigns were most commonly found to have an awareness content, with various types of cognitive appeal using a direct presentation style for information on health recommendations, rules to follow to avoid contagion, and necessary changes in daily life to fight the virus. In the second half of the year, messages were observed appealing to guilt or responsibility for contagion. By the end of the year messages shifted again, appealing to the duration of the pandemic and the need to continue health measures despite the frustration being experienced and mental health challenges. The most widely used formats were images, audiovisuals and infographics. Campaign slogans and hashtags were key for understanding message content and thus understanding the new social norm.
DOI: 10.6084/m9.figshare.14946036.v1
title: Análisis de mensajes.xlsx

description: Communication campaigns to educate people on the prevention of the spread of COVID-19 became a priority around the world due to the rapid spread and serious consequences of the virus. For this, a qualitative content analysis of global campaigns issued in English and Spanish for COVID-19 was carried out, using Google as a search platform. The sample was made up of 52 campaigns launched in 17 countries throughout 2020, with a total sample of 504 messages. A coding sheet was used as the data collection instrument, which integrated the units, categories and subcategories of analysis. These campaigns varied by country, time of year, campaign stage, and content. The messages were adapted according to the spread of the virus and local changes and advances made in health matters. The campaigns were most commonly found to have an awareness content, with various types of cognitive appeal using a direct presentation style for information on health recommendations, rules to follow to avoid contagion, and necessary changes in daily life to fight the virus. In the second half of the year, messages were observed appealing to guilt or responsibility for contagion. By the end of the year messages shifted again, appealing to the duration of the pandemic and the need to continue health measures despite the frustration being experienced and mental health challenges. The most widely used formats were images, audiovisuals and infographics. Campaign slogans and hashtags were key for understanding message content and thus understanding the new social norm.
DOI: 10.25612/837.d8k9v0r84a8d
title: FEMA Individual Assistance Housing Registrants - Large Disasters - Hurricane Harvey

description: De-identified registrations to FEMA's Individual Assistance - Housing Assistance program for large disasters. Contains entries for Hurricane Harvey only.