cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fgs9pyfv2z.1
title: Updated Ljubljana Breast Cancer Data Set: reduced and cleaned version

description: This dataset contains information for Machine Learning algorithms to forecast recurrence events (RE) for patients with breast cancer stages I to III. The dataset contains 252 instances and six attributes, including a binary class indicating whether RE occurred. This dataset has been reduced and denoised from the original Ljubljana, which holds 286 instances with ten attributes each (LBCD, Zwitter M. and Soklic M. (1988). Breast Cancer. UCI Machine Learning Repository. https://archive.ics.uci.edu/dataset/14/breast+cancer). The ranking results by eight different Machine learning algorithms and statistical handling of the ranking 8-component vectors for attributes allow one to reduce ten features to six of the most relevant ones. The most pertinent features were the following five: {deg_malig, irradiat, node_caps, tumor_size, inv_nodes}. Less relevant found four attributes: {age, breast_quad, breast, menopause}. The CAIRAD: Co-appearance based Analysis for Incorrect Records and Attribute-values Detection ( Rahman MG, Islam MZ, Bossomaier T, Gao J. CAIRAD: A co-appearance based analysis for incorrect records and attribute-values detection. Proc Int Jt Conf Neural Networks. 2012;(June). https://doi.org/10.1109/IJCNN.2012.6252669) filter has been determined the noises in attributes and class features. Per the filtering results, 34 instances of LBCD had noises in half (or even more than half) of their features. Those were removed from the data. It is known that the noises in the class are riskier and teasing than those of attributes. Meantime, the class attribute had 35 (14%) missed values from 252 after COIRAD filtering. It was unacceptable, considering the comparable number (only 85 cases) of recurrence events in the class of initial LBCD. The imputation (reconstruction, "cure") of missed values was performed via the algorithm offered in: Bai BM, Mangathayaru N, Rani BP. An approach to find missing values in medical datasets. In: ACM International Conference Proceeding Series. Vol 24-26-Sept. ; 2015. https://doi.org/10.1145/2832987.2833083. The noises presented in the remaining attributes, ranging from 1% to 14%, were neglected. There are 252 instances in the dataset, of which 206 do not have RE, and the remaining 46 have RE. Six attributes, including its class, define each instance. This dataset is obtained from the initial version of the LBCD betterment, and it provides a significant advantage in the performance over the original LBCD for most classifying algorithms of Machine Learning. However, the dataset is slightly more imbalanced than the LBCD, which is a minus.
DOI: 10.17632/ks2gwtckh3.1
title: Supplementary material: Tzanck smear sans blade: A friendlier method

description: Supplementary material for JAAD-D-23-01555 Clinical Pearl -> Tzanck smear sans blade: A friendlier method
DOI: 10.17632/ks2gwtckh3.2
title: Supplementary material: Tzanck smear sans blade: A friendlier method

description: Supplementary material for JAAD International Clinical Pearl -&gt; Tzanck smear sans blade: A friendlier method
DOI: 10.17632/d2k42pxzzd.1
title: A mediação do engajamento no trabalho nas relações de recursos com o job crafting

description: A amostra foi de conveniência composta por 703 trabalhadores brasileiros de diversas profissões e de ambos os sexos. Os dados foram coletados por meio de questionários aplicados totalmente online, por meio do Google Forms, em trabalhadores contatados por meio das redes sociais dos pesquisadores e acessados via WhatsApp, e-mail, Facebook, Instagram ou LinkedIn. O tempo aproximado de preenchimento dos questionários foi de 20 minutos.
DOI: 10.14473/csda/4y9s6m
title: Trendy Česka 2. pol. 2020-2021 – tracking volebního modelu České televize 73.vlna (září 2021)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. - obsahuje stálý blok otázek volebního modelu, hodnocení aktuální politické situace, důvěra ve vládu, odhodlání jít k volbám a základní demografie - blok ad hoc otázek - 3-5 otázek sestavených ve spolupráci se zpravodajstvím ČT podle aktuální potřeby
DOI: 10.57967/hf/1266
title: temp1232
DOI: 10.14473/csda/jockgr
title: Trendy Česka 2. pol. 2020-2021 – tracking volebního modelu České televize 74.vlna (listopad 2021)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. - obsahuje stálý blok otázek volebního modelu, hodnocení aktuální politické situace, důvěra ve vládu, odhodlání jít k volbám a základní demografie - blok ad hoc otázek - 3-5 otázek sestavených ve spolupráci se zpravodajstvím ČT podle aktuální potřeby
DOI: 10.6084/m9.figshare.24435121
title: 20231026_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24435121.v1
title: 20231026_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.17632/zwf5cm2jxr.1
title: Analysis of gene sequences for automated classifications of exons and introns with genomic signal processing-based features and Machine learning

description: The dataset contain 10 gene sequences in FASTA format. Each individual gene contains coding and non-coding sequences separately.
DOI: 10.17632/vpgtz9pzw8.1
title: Radiation induced gliomas Prague

description: This dataset is from the single institutional cohort of radiation induced gliomas and contains fastq files from DNA panel NGS (ArcherDx VariantPlex kit) and idat files from DNA methylation array (Illumina Infinium EPIC methylation kit).
DOI: 10.17632/hsyh7cstm3.1
title: Replication dataset for "The vagaries of valuation: Post-traumatic growth and psychological responses to gains and losses"

description: This repository contains the replication materiuals for the publication "The vagaries of valuation: Post-traumatic growth and psychological responses to gains and losses". The folder contains the data file including the variables required for the main analyses in the paper, as well as robustness checks and follow-up analyses in the appendix. It also contains the .do-file for running these analyses. Analyses were run using Stata 17. To run the analyses, open the .do-file in stata 17, copy the folder and file location on your drive into the locations indicated, and run the file.
DOI: 10.17632/wjy2krs8bh.1
title: Cuilture dynamic

description: Tths data is about interdisciplinary study which navigates the confluence of culture, economy, and regulatory governance by exploring the implications of Environmental, Social, and Governance (ESG) criteria in Europe's socio-economic landscape from 1960 to 2021. Utilizing World Bank data, the analysis transcends traditional economic inquiry, delving into the cultural ethos that underpins economic stability, governance, and sustainability practices. By dissecting historical trends and their societal correlations, this research illuminates the nuanced interplay between financial well-being, societal welfare, and cultural paradigms.
DOI: 10.17632/k37dtysknm.1
title: Improved ultra short term wind speed prediction based on BILSTM and meta feature driven Ensemble learning

description: We collected wind speed data from four different wind farms at different altitudes in the United States. These data contain changes in wind speed at different altitudes, helping us understand the impact of different altitudes on wind speed.
DOI: 10.17632/cpp4hvzbcx.1
title: Precautionary Protectionism

description: This is the replication folder for Precautionary Protectionism by Sharon Traiberman and Martin Rotemberg
DOI: 10.5281/zenodo.10040903
title: Sub-optimal Drug Allergy Management Systems – a multi-national qualitative study
DOI: 10.14473/csda/nckcxo
title: University students during COVID-19 pandemic (Vysokoškolští studenti během pandemie)

description: Výzkum byl zaměřený na vysokoškolské studenty a na to, jak se jich první vlna pandemie dotkla v oblasti studií, duševní pohody a dalších příbuzných témat. Pandemie COVID-19 ovlivnila životy náš všech, obzvlášť dramaticky ale dopadla na vysokoškolské studenty. Nejen z našeho šetření na jaře 2021 vyplývá, že se zhoršila jejich finanční situace a negativně zapůsobily i ztížené podmínky studia a vynucená izolace. Došlo k významnému nárůstu depresivních symptomů a úzkostí. Uzávěry škol a ekonomické restrikce mohly vést ke ztrátě motivace ke studiu, online a asynchronní výuka vyhovovala jen některým studentům. Kromě sociodemografických informací se dotazník věnoval i situaci studentů před/na začátku/během COVID-19, zdraví a vakcinaci, spokojenosti a důvěře, ale i různým psychometrickým měřením a pohybu a spánku a partnerskému životu.
DOI: 10.17632/mvt9b57pn9.1
title: Godel et al. 2023 Tumor-targeted perfluorinated micelles as efficient theranostic agents combining positron emission tomography and radiosensitization

description: Dataset relative to the work: Godel et al. 2023 Tumor-targeted perfluorinated micelles as efficient theranostic agents combining positron emission tomography and radiosensitization Contains raw and processed data for all results presented in the above article.
DOI: 10.6084/m9.figshare.24434944
title: Data for "Spatio-temporal Forecasting for the US Drought Monitor"

description: This dataset contains the data needed to implement the analysis in the paper "Spatio-temporal Forecasting for the US Drought Monitor" by Robert Erhardt, Staci Hepler, Daniel Wolodkin, and Andy Greene. The code to perform the analysis can be found here. This data contains observations on a 0.5 degree x 0.5 degree grid for the western United State - west of Nevada's eastern border. There is one observation for each grid location for each week beginning January 4, 2000 and ending June 15, 2021. The variables included are described below. <b>Index variables:</b>'time' is YYYYMMDD'grid' is an arbitrary naming convention based on lat/lon. Letters index lat, and numbers index lon. 'lon' is the longitude of the centroid for the grid cell'lat' is the latitude for the centroid for the grid cell<b>USDM variable:</b>'drought' is a factor with levels 0, D0, D1, D2, D3, D4 and refer to the value of the US Drought MOnitor at the particular time and at the grid centroid.<b>NOAA variables:</b>'apcp' is weekly total precipitation in kg/m2'air' is surface air temperature'soilm' is soil moisture<br>
DOI: 10.6084/m9.figshare.24434944.v1
title: completedata.csv

description: This dataset contains the data needed to implement the analysis in the paper "Spatio-temporal Forecasting for the US Drought Monitor" by Robert Erhardt, Staci Hepler, Daniel Wolodkin, and Andy Greene. The code to perform the analysis can be found here. This data contains observations on a 0.5 degree x 0.5 degree grid for the western United State - west of Nevada's eastern border. There is one observation for each grid location for each week beginning January 4, 2000 and ending June 15, 2021. The variables included are described below. <b>Index variables:</b>'time' is YYYYMMDD'grid' is an arbitrary naming convention based on lat/lon. Letters index lat, and numbers index lon. 'lon' is the longitude of the centroid for the grid cell'lat' is the latitude for the centroid for the grid cell<b>USDM variable:</b>'drought' is a factor with levels 0, D0, D1, D2, D3, D4 and refer to the value of the US Drought MOnitor at the particular time and at the grid centroid.<b>NOAA variables:</b>'apcp' is weekly total precipitation in kg/m2'air' is surface air temperature'soilm' is soil moisture<br>
DOI: 10.17632/52m89r83df.1
title: High-efficiency pentafluorostilbene-based photocatalysts dedicated to preparing fluorescent 3D printed polymer nanocomposites

description: The following manuscript describes 10 newly synthesized pentafluorostilbene derivatives that are diverse in the character of the substituent attached to the second phenyl ring, as well as in the substitution site. The compounds were investigated for their applicability as iodonium salt photosensitizers for initiating cationic, radical and hybrid photopolymerization. For this purpose, various spectroscopic studies were performed, such as absorbance and fluorescence quenching experiments. For kinetic research, Fourier transform infrared spectroscopy (real time FT-IR) was utilized, which enabled analysis of the performance of the investigated two-component photoinitiating systems in real time. According to a variety of kinetic studies, the most effective initiator system was selected and applied for application studies in the subsequent stage, namely the preparation of photocurable polymer nanocomposites using light-initiated 3D printing technology (DLP - Digital Light Processing). The most effective two-component initiating system was tested in 7 different photo-curable resins by thermogravimetry (TGA) and dynamic mechanical analysis (DMA) to demonstrate its applicability in 3D printing of nanocomposites.
DOI: 10.34740/kaggle/dsv/6794795
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6794798
title: Mahanagar Yatayat Transport Dataset
DOI: 10.48758/ufz.12509
title: Static Fertilization Experiment Bad Lauchstädt 1902-2014, strip 7 and 8 [data set]

description: Please read the readme file for detailed information about the experiment and the parameters used
DOI: 10.17632/vvhn5y7mzt.1
title: EMG activity of accessory muscles of respiration and PFT parameters in post-mastectomy patients

description: Background and purpose: Breast cancer is one of the most prevalent type of cancer and most frequent in females with 2.09 million of cases. This study aimed to investigate the changes in normal pulmonary functions in post-mastectomy patients and the usage of accessory muscles for respiration as compared to normal individuals.
DOI: 10.17632/cx268tmrwn.1
title: YembaTones: An Annotated Dataset for Tonal and Syllabic Analysis of the Yemba Language

description: YembaTones is a meticulously annotated dataset that focuses on tonal and syllabic variations in the Yemba language. It was created to facilitate automatic tone detection and enhance resources available for speech recognition and synthesis in this tonal language. This dataset is derived from a dictionary containing 344 Yemba/French words, carefully selected from commonly used phrases in the language. The words are grouped based on their spelling differences in terms of tones. Audio recordings of the pronunciation of these words were made by 11 native Yemba speakers, primarily linguistics specialists with a strong command of the language's sounds. The recordings were captured in various locations such as speakers' homes, university campuses, and workplaces. Subsequently, the recordings were cleaned and segmented into individual audio files corresponding to isolated word pronunciations using Audacity software. The YembaTones dataset consists of 3420 high-quality audio files that have been meticulously annotated at the syllabic and tonal levels using Praat software. It serves as a valuable resource not only for training and evaluating automatic tone detection models, but also for automatic speech recognition, speech synthesis in tonal and low-resource languages, as well as research in prosody, Yemba phonetics, speech acoustics, and phonetic linguistics. YembaTones provides a comprehensive foundation for further advancements in tonal analysis, speech technology, and linguistic research for the Yemba language. By addressing the scarcity of resources in this domain, this dataset paves the way for the development of more accurate and effective speech processing applications for tonal languages.
DOI: 10.17632/cx268tmrwn.2
title: YembaTones: An Annotated Dataset for Tonal and Syllabic Analysis of the Yemba Language

description: YembaTones is a meticulously annotated dataset that focuses on tonal and syllabic variations in the Yemba language. It was created to facilitate automatic tone detection and enhance resources available for speech recognition and synthesis in this tonal language. This dataset is derived from a dictionary containing 344 Yemba/French words, carefully selected from commonly used phrases in the language. The words are grouped based on their spelling differences in terms of tones. Audio recordings of the pronunciation of these words were made by 11 native Yemba speakers, primarily linguistics specialists with a strong command of the language's sounds. The recordings were captured in various locations such as speakers' homes, university campuses, and workplaces. Subsequently, the recordings were cleaned and segmented into individual audio files corresponding to isolated word pronunciations using Audacity software. The YembaTones dataset consists of 3420 high-quality audio files that have been meticulously annotated at the syllabic and tonal levels using Praat software. It serves as a valuable resource not only for training and evaluating automatic tone detection models, but also for automatic speech recognition, speech synthesis in tonal and low-resource languages, as well as research in prosody, Yemba phonetics, speech acoustics, and phonetic linguistics. YembaTones provides a comprehensive foundation for further advancements in tonal analysis, speech technology, and linguistic research for the Yemba language. By addressing the scarcity of resources in this domain, this dataset paves the way for the development of more accurate and effective speech processing applications for tonal languages.
DOI: 10.17632/cx268tmrwn.3
title: YembaTones: An Annotated Dataset for Tonal and Syllabic Analysis of the Yemba Language

description: YembaTones is a meticulously annotated dataset that focuses on tonal and syllabic variations in the Yemba language. It was created to facilitate automatic tone detection and enhance resources available for speech recognition and synthesis in this tonal language. This dataset is derived from a dictionary containing 344 Yemba/French words, carefully selected from commonly used phrases in the language. The words are grouped based on their spelling differences in terms of tones. Audio recordings of the pronunciation of these words were made by 11 native Yemba speakers, primarily linguistics specialists with a strong command of the language's sounds. The recordings were captured in various locations such as speakers' homes, university campuses, and workplaces. Subsequently, the recordings were cleaned and segmented into individual audio files corresponding to isolated word pronunciations using Audacity software. The YembaTones dataset consists of 3420 high-quality audio files that have been meticulously annotated at the syllabic and tonal levels using Praat software. It serves as a valuable resource not only for training and evaluating automatic tone detection models, but also for automatic speech recognition, speech synthesis in tonal and low-resource languages, as well as research in prosody, Yemba phonetics, speech acoustics, and phonetic linguistics. YembaTones provides a comprehensive foundation for further advancements in tonal analysis, speech technology, and linguistic research for the Yemba language. By addressing the scarcity of resources in this domain, this dataset paves the way for the development of more accurate and effective speech processing applications for tonal languages.
DOI: 10.17632/hg3y4v2cbf.1
title: kremen1 regulates lateral line hair cell regeneration

description: Raw cell counts for the manuscript "Kremen1 regulates the regenerative capacity of support cells and mechanosensory hair cells in the zebrafish lateral line:
DOI: 10.17632/v8j669bfry.1
title: Concerted structural rearrangements enable RNA channeling into the cytoplasmic Ski238-Ski7-exosome assembly. Keidel et al.

description: Concerted structural rearrangements enable RNA channeling into the cytoplasmic Ski238-Ski7-exosome assembly. Keidel et al.
DOI: 10.17632/krkp3j9gz5.1
title: Hilletal_RVR_microclimates-regen

description: These data pertain to all data used for presentation in Hill et al. 2023 (In prep.) from the RVR project.  Raw data files and R scripts included.
DOI: 10.17632/krkp3j9gz5.2
title: Microclimates and regeneration at multiple life-stages in heterogeneous dry forest restoration treatment

description: These data pertain to all data used for presentation in Hill et al. 2023, FEM (In review) from the RVR project. Raw data files and R scripts included.
DOI: 10.17632/wnfjgzf2kt.1
title: Long reads dataset of Sengon (Falcataria moluccana) infected by gall-rust disease

description: This dataset provides Sengon (Falcataria moluccana) transcriptome reference using MinION Nanopore on treated leaves with artificial inoculation.
DOI: 10.17632/wnfjgzf2kt.2
title: Long reads dataset of Sengon (Falcataria moluccana) infected by gall-rust disease

description: This dataset provides Sengon (Falcataria moluccana) transcriptome reference using MinION Nanopore on treated leaves with artificial inoculation.
DOI: 10.17632/wnfjgzf2kt.3
title: Long reads dataset of Sengon (Falcataria falcata) infected by gall-rust disease

description: This dataset provides Sengon (Falcataria falcata) transcriptome reference using MinION Nanopore on treated leaves with artificial inoculation.
DOI: 10.17632/m8mmc4phsh.1
title: Current velocities in the Bransfield Strait 2015-2022

description: Shipborne Acoustic Current Doppler Profiler (SADCP) measurements carried out in the Bransfield Strait from 2015 to 2022 during austral summer season by P.P. Shirshov Institute of Oceanology RAS. This dataset includes over 100 transects, crossing the main currents in the strait (namely, the Bransfield Current and the Transitional Weddell Water flow). Velocities are given in 2 projections: north-east and along the Bransfield Strait (u_proj)
DOI: 10.17632/79ndd5mmnx.1
title: Sponges from the 2010-2014 Paamiut Multispecies Trawl Surveys, Eastern Arctic and Subarctic: Class Demospongiae, Subclass Heteroscleromorpha, Order Poecilosclerida, Families Microcionidae, Acarnidae and Esperiopsidae

description: Sponges (phylum Porifera) are benthic filter feeding animals that play an important role in nutrient cycling and habitat provision in the deep sea. Sponges collected between 2010 and 2014 during annual multispecies trawl surveys conducted by Fisheries and Oceans Canada in Baffin Bay, Davis Strait and portions of Hudson Strait were taxonomically examined. In total ~2500 specimens were identified, comprising ~100 known sponge taxa. Sponges from the order Poecilosclerida comprised nearly half of the identified species. Sponges from the poescilosclerid families Coelosphaeridae, Crellidae, Dendoricellidae, Myxillidae and Tedaniidae are described in previous reports. This report adds descriptions of eight sponge species from three poescilosclerid families: Microcionidae, Acarnidae and Esperiopsidae (class Demospongiae, subclass Heteroscleromorpha, order Poecilosclerida). Described species include Artemisina lundbecki, Artemisina arcigera, and Clathria (Clathria) barleei from the family Microcionidae, Iophon piceum and Iophon koltuni from the family Acarnidae, and Esperiopsis villosa, Esperiopsis sp. 1, and Semisuberites cf. cribrosa from the family Esperiopsidae. Descriptions include physical description of the sponges, descriptions and dimensions of their spicules, and taxonomic discussion.