cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t9jjjg8n92.2
title: The impact of hybrid contact lenses on keratoconus progression after accelerated transepithelial crosslinking

description: The dataset of hybrid contact lens study.
DOI: 10.17632/2mn4ctdpxp.3
title: Whole-genome-sequencing of triple negative breast cancers: a population study

description: Exploring the value of WGS in clinical setting, we sequenced 254 triple negative breast cancers (TNBC) with associated treatment and outcome data collected between 2010-2015 via the population-based Sweden Cancerome Analysis Network-Breast (SCAN-B) (ClinicalTrials.gov ID:NCT02306096) project. Somatic mutations (point mutations, small insertions and deletions, chromosomal rearrangements), as well as copy number profiles from whole genome sequences of triple negative breast cancers. Data for 237 samples included in the analysis as reported in the publication. The repository contains: - cohort summary: data frame summarising all the samples in the study, genomes and clinical data, and description of the columns - copy number: all copy number profiles from ASCAT - indels: single file with all passed Pindel indels, after filtering - rearrangements: filtered (simple filtered format) and unfiltered (bedpe) files - substitutions: single file with substitutions after filtering - Mapping of WGS sequencing IDs to RNAseq data for GSE96058
DOI: 10.17632/5x2gm24zkb.2
title: Standard color legend for Romanian soil type maps in ESRI ArcMap-10 electronic format

description: In order to use the standard color legend for Romanian soil type maps in the ESRI ArcMap-10 electronic format, a dataset consisting a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), four different .lyr files, and three different .style files have been prepared (ESRI, 2016). The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil types from the standard legend. This legend contains 67 standard items: 63 proper colors (different color hues, each of them having, generally, 2 - 4 degrees of lightness and/or chroma, four shades of grey, and white color), and four hatching patterns on white background (ESRI, 2016). The “color difference DE*ab” between any two legend colors, calculated with the color perceptually-uniform model CIELAB , is greater than 10 units, thus ensuring acceptably-distinguishable colors in the legend. The 67 standard items are assigned to 60 main soils existing in Romania, four main nonsoils, and three special cases of unsurveyed land. The soils are specified in terms of the current Romanian system of soil taxonomy, SRTS-2012+, and of the international soil classification system WRB-2014. The four different .lyr files presented here are: legend_soilcode_srts_wrb.lyr, legend_soilcode_wrb.lyr, legend_colourcode_srts_wrb.lyr, and legend_colourcode_wrb.lyr. The first two of them are built using as value field the ‘Soil_codes’ field, and as labels (explanation texts) the ‘Soil_name’ field (storing the soil types according to SRTS/WRB classification), respectively, the ‘WRB’ field (the soil type according to WRB classification), while the last two .lyr files are built using as value field the ‘colour_code’ field (storing the color codes) and as labels the soil name in SRTS and WRB, respectively, in WRB classification. In order to exemplify how the legend is displayed, two .jpg files are also presented: legend_soil_srts_wrb.jpg and legend_colour_wrb.jpg. The first displays the legend (symbols and labels) according to the SRTS classification order, the second according to the WRB classification. The three different .style files presented here are: soil_symbols.style, wrb_codes.style, and colour_codes.style. They use as name the soil acronym in SRTS classification, soil acronym in WRB classification, and, respectively, the color code.
DOI: 10.17632/cvp2cfby2f.2
title: Standard hatch legend for Romanian soil texture maps in ESRI ArcMap-10 electronic format

description: In order to use the standard hatch legend for Romanian soil texture maps in the ESRI ArcMap-10 electronic format, a dataset consisting a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), two different .lyr files, and two different .style files have been prepared (ESRI, 2016). The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil texture items from the standard legend. This legend is related to the current Romanian system of soil taxonomy, SRTS-2012+, and consists of three sub-standards, corresponding to three taxonomic levels: soil qualifiers, soil textural classes, and soil textural subclasses. At the first level there are five hatches for the four soil qualifiers related to soil texture and for the “Skeletic” soil, and two miscellaneous items (various textures and unspecified texture), at the second level there are eight hatches for the seven soil textural classes and for the Skeletic soil, and the two miscellaneous items, and at the third level there are 14 hatches for the 13 soil textural subclasses and for the Skeletic soil, and three miscellaneous items. The correlation with the FAO soil textural classes/subclasses, used by the international soil classification system WRB, is very approximate, given that the Romanian soil classification systems use the Atterberg system to define soil particle size fractions and a specific definition of soil texture classes/subclasses – different from that of FAO. All the standard hatches may be combined to indicate an association of two soil textural classes/sub-classes in a map delineation. Also, the hatch legend may be joined to a color legend for developing a mixed map of soil type and soil texture. The two different .lyr files presented here are: legend_txtcode_srts_en.lyr, and legend_txtcode_en.lyr. Both of them are built using as value field the ‘CODE_TXT3’ field, coding the soil texture subclass at a more detailed level, but the first one uses as labels (explanation texts) the ‘TEXT_RE’ field, storing the soil texture subclass name in SRTS-2012+ and in English language, while the second one, the ‘TEXT_WRB3’ field, storing the SRTS-2012+ soil texture subclass name in English language. In order to exemplify how the legend is displayed, a .jpg file is also presented: legend_txt.jpg, displaying the legend (symbols and labels) according to the first .lyr file. The two different .style files presented here are: txt_codes.style and txt_abbrev.style. The symbol (hatches) for each different map feature has been built and stored in these two .style files, using as name the soil texture subclass code and, respectively, the SRTS-2012+ soil texture subclass name abbreviation.
DOI: 10.17632/fm88w4bz5s.1
title: Data for: A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data
DOI: 10.17632/vyxc5dw4yk.1
title: REUSABLE FACE MASK CAD FILES

description: CAD Design for face mask which as opt for using DIY (Do It Yourself) filtrate using cotton cloth and PU foam to the maximum thickness 10 mm.
DOI: 10.17632/3jm55gwcg4.1
title: Evaluation of Non-Carious Cervical Lesions Restored with Resin- Modified Glass Ionomer and Glass Carbomer: A Single-Blind Randomized Controlled Clinical Trial
DOI: 10.17632/b7ntc762cv.1
title: The impact of economic sanctions on equity returns of Russian companies

description: This data is required for Event Study Analysis. First of al, in order to calculate cumulative abnormal return (CAR) the real returns should be adjusted for "normal" returns. Russian economy is highly dependent to oil & gas prices, thus in this study "normal" returns are correlated with Brent price (CAPM model was used). That is why the data for my research should be consisted of stock prices of Russian public companies from 2011 to 2019, MOEX Russia Index as a measure of market index (2011-2019), Brent price dynamics (2011-2019) and Russian Government Bond Zero Coupon Yield (2011-2019) as a measure of rsik-free rate
DOI: 10.17632/sf9x4h5jfk.2
title: Meteorological indicator dataset for selected European NUTS 3 regions

description: The harmonization of data granularity in spatial and temporal terms is an important pre-step to any econometric and machine learning applications. Researchers, who wish to statistically test hypotheses on the relationship between agro-meteorological and economic outcomes, often observe that agro-meteorological data is typically stored in gridded and temporally detailed form, while many relevant economic outcomes are only available on an aggregated level. This dataset intends to aid empirical investigations by providing a dataset with monthly meteorological indicators on a European NUTS 3 regional level for 14 countries for the period from 1989 to 2018. We created this dataset from daily data in a grid of 25km x 25km provided by the Joint Research Centre of the European Commission. We matched the map with the raw data to a map with the administrative boundaries of European NUTS3 regions. After appropriately weighting, we calculated the monthly, regional mean, variance and kurtosis of the following variables: daily maximum, minimum, average air temperature in degrees Centigrade, sum of precipitation in mm per day and snow depth in cm. We report the covariance between the average temperature and the precipitation as well.
DOI: 10.17632/ybfvpgvvsj.2
title: Code and data for "Two-stage Variational Mode Decomposition and Support Vector Regression for Streamflow Forecasting"

description: This data repository contains code and data for the research article “Two-stage Variational Mode Decomposition and Support Vector Regression for Streamflow Forecasting”, which is currently under review for the journal Hydrology and Earth System Sciences (HESS). The underlying data of this study is the monthly runoff data sets (from Jan 1953 to Dec 2018) of Huaxian, Xianyang, and Zhangjiashan stations, Wei River, China, which is organized in "time_series" directory. The unit of measurement is 10^8m^3/s. The fundamental code for decomposing runoff data, deciding input predictors and output target, generating machine learning samples, building support vector regression (SVR) models, and evaluating the model performance is organized in the “tools” directory. The execution code for forecasting different runoff series using different decomposition algorithms (e.g., variational mode decomposition (VMD), ensemble empirical mode decomposition (EEMD), discrete wavelet transform (DWT), Singular spectrum analysis (SSA) or non-decomposition-based (Orig)) are organized in “projects” directory (e.g., “huaxian_vmd/projects/”). To reproduce the results of this paper, follow the instructions given in readme.md. Note that the same results demonstrated in this paper cannot be reproduced but similar results should be reproduced.
DOI: 10.17632/btmvbjys92.1
title: High-speed Railway Transportation of Critical Infants and Children: A Cohort Study

description: High-speed Railway Transportation of Critical Infants and Children could be a new way to transport critical patients to advanced medical center. It's a fast, safe, and effective way to save those infants and children in critical conditions.
DOI: 10.17632/pvmvnpdym6.1
title: All Quantitative Data

description: Experimental setup, Cell population doublings (PDs), Donor Information, Wet Weights of Cell Aggregate Pellets, GAG, DNA, Chondro-induction Interaction Index, PTHrP Treatment Dose
DOI: 10.17632/wf64vzcg58.1
title: Data for: Municipal wastewater sludge as a renewable, cost-effective feedstock for transportation biofuels using hydrothermal liquefaction

description: These supplemental data contain site-specific estimates of chemical energy (COD) and total dry solids by waste phase for &gt;15000 wastewater treatment facilities in the US under present and hypothetical future conditions. The intent of the data are to support national scale waste to energy modeling, and the values for any given site may not match actual site conditions.
DOI: 10.21227/0qtv-h708
title: RSSdata_HumanHuman

description: This dataset consists of RSS data measured from smartphones carried by two human beings.
DOI: 10.5281/zenodo.3795573
title: Geolocation of German Academic Institutions

description: The dataset has four columns; Name of the institution, Homepage, Latitude, Longitude. The entries in each row are delimited by a semicolon.
DOI: 10.5281/zenodo.3795574
title: Geolocation of German Academic Institutions

description: The dataset has four columns; Name of the institution, Homepage, Latitude, Longitude. The entries in each row are delimited by a semicolon.
DOI: 10.21227/5zc8-w502
title: RSSdata_HumanHuman

description: This dataset consists of RSS data measured from smartphones carried by two human beings.
DOI: 10.15468/t7wev8
title: Biogeographical and ecological insights from Australasian faunas: the megadiverse collembolan genus, Entomobrya (Entomobryidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jordana, Rafael, Greenslade, Penelope (2020): Biogeographical and ecological insights from Australasian faunas: the megadiverse collembolan genus, Entomobrya (Entomobryidae). Zootaxa 4770 (1): 1-104, DOI: https://doi.org/10.11646/zootaxa.4770.1.1
DOI: 10.15468/ahgkb2
title: On the diversity of Terebellides (Annelida, Trichobranchidae) in West Africa, seven new species and the redescription of T. africana Augener, 1918 stat. prom.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Parapar, Julio, Martin, Daniel, Moreira, Juan (2020): On the diversity of Terebellides (Annelida, Trichobranchidae) in West Africa, seven new species and the redescription of T. africana Augener, 1918 stat. prom. Zootaxa 4771 (1): 1-61, DOI: https://doi.org/10.11646/zootaxa.4771.1.1
DOI: 10.21227/hb7b-a936
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey. Currently dataset contain 4,5 million tweets with 6 different attribute of each tweets that were sent from 9 March 2020 until 30 April 2020. The data file contains comma separated values (CSV). It contains the following information (6 Column) for each tweet in the data file: Created-At: Exact creation time of the tweet From-User-Id: Sender User Id To-User-Id: if it is sent to a user, its user ID Language: All Turkish Retweet-Count: number of retweets Id: ID of tweet that is unique for all tweets Search Twitter Operator of RapidMiner Software was used to collect tweets via the Twitter API. Due to the differentiation of keywords used in the time period and because of some technical constraints, the number of tweets collected daily for some days was less than normal until 30 March. After March 30, all Turkish tweets about covid-19 were collected continuously. The details of this subject are explained at the below. The data collection study started on March 17. In the Twitter API used, there is a 10,000-tweet upper limit and a last week time limit in each search to collect past tweets. Therefore, the oldest tweets that can be collected belong to March 11. Detecting the first cases in Turkey were also held on 11 March. So, tweets been collected since the first cases detected in Turkey. In order to collect data, RapidMiner Data mining software was used, and a maximum of 10,000 tweets were collected for each day, from 11 March until 17 March. In this way, after the past data of the last week were collected, the last sent 10,000 tweets were taken at intervals of twenty minutes (Twitter API can be used with 15 minutes interval, added 5 minutes more for precautionary). Thus, if more than 10,000 tweets were not posted within 20 minutes, it was possible to gather all the tweets. Of course, in less than 10,000 tweets were sent within 20 minutes, the same tweets were repeatedly drawn in different iterations. For this reason, duplicate records were deleted using the Tweet ID number. RapidMiner Turbo Prep application was used for this process. While Turkish tweets containing the word "Corona" were collected as of March 11, the ones containing the word "Covid" started to be collected after March 16. With the widespread use of the words "Kovid" and "Korona", since March 30, all Turkish Tweets containing at least one of 4 keywords were collected using the search phrase "Covid OR Kovid OR Korona OR Corona".
DOI: 10.21227/ex7a-fb49
title: RSSdata_HumanHuman

description: This dataset consists of RSS data measured from smartphones carried by two human beings.
DOI: 10.18716/nmrshiftdb2/76797
title: NMR data for 3-methoxy-N,N-dimethylaniline
DOI: 10.15468/e7jtfh
title: Description of Longidorus bordonensis sp. nov. from Portugal, with systematics and molecular phylogeny of the genus (Nematoda, Longidoridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gutierrez-Gutierrez, Carlos, Santos, Margarida Teixeira, Inacio, Maria Lurdes, Eisenback, Jonathan D., Mota, Manuel (2020): Description of Longidorus bordonensis sp. nov. from Portugal, with systematics and molecular phylogeny of the genus (Nematoda, Longidoridae). Zoosystematics and Evolution 96 (1): 175-193, DOI: http://dx.doi.org/10.3897/zse.96.49022, URL: http://dx.doi.org/10.3897/zse.96.49022
DOI: 10.21227/9h2y-vj14
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey.
DOI: 10.25919/5eb2708ab32e0
title: Parkes observations for project P1050 semester 2020APRS_09

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed a first pass re-processing of the 60 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered potential 54 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This follow-up and timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space.
DOI: 10.25919/5eb2708b267cb
title: Parkes observations for project P1050 semester 2020APRS_08

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed a first pass re-processing of the 60 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered potential 54 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This follow-up and timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space.
DOI: 10.13135/ela-307
title: Honours for an official
DOI: 10.1285/i25327518v3i1p1
title: Title page
DOI: 10.1285/i25327518v3i1p3
title: Index
DOI: 10.17632/hfvwwdgs4y.1
title: Data for: Acute Toxicity "Six-Pack" Studies Supporting Approved New Drug Applications in the U.S., 2015-2018

description: Microsoft Excel workbook. "List" sheet includes all FDA reviews of New Drug Applications included in analysis linked to individual sheets for each review as well as the number of single dose acute toxicity, local tolerance and skin sensitization studies reported. "Summary" summarizes information captured in individual sheets and contains most of the information used in preparation of the manuscript. "Multiples" lists all FDA reviews in which more than one of any study type was reported indicating how the studies differed.
DOI: 10.1285/i25327518v3i1p5
title: Introduction
DOI: 10.1285/i25327518v3i1p7
title: The role of Autophagy in Hepatocellular Carcinoma

description: Autophagy is a cellular catabolic process in which cytoplasmic material is delivered to lysosomes for degradation. The autophagy process is regulated by highly conserved autophagy-related genes (ATGs) via different signalling pathways. Among the various biological functions of autophagy, the link between autophagy and cancer has been extensively studied, demonstrating its dual role, of tumor suppressor or promoter in cancer development. Hepatocellular carcinoma (HCC) is one of the most lethal cancers that affects most of the world's population and it is caused by different etiological factors: HBV and HCV viral infections, heavy alcohol consumption, NAFLD (non-alcoholic fatty liver disease), aflatoxin B1 contaminated food. In recent years, the involvement of autophagy in both prevention and promotion of liver cancer has been increasingly studied. Here, we summarize molecular mechanisms and physiological function of liver autophagy, its dual role and its therapeutic potential in HCC.
DOI: 10.1285/i25327518v3i1p19
title: An Augmented Reality Platform for Preoperative Surgical Planning

description: Researching in new technologies for diagnosis, planning and medical treatment have allowed the development of computer tools that provide new ways of representing data obtained from patient's medical images such as computed tomography (CT) and magnetic resonance imaging (MRI). In this sense, augmented reality (AR) technologies provide a new form of data representation by combining the common analysis using images and the ability to superimpose virtual 3D representations of the organs of the human body in the real environment. In this paper the development of a generic computer platform based on augmented reality technology for surgical preoperative planning is presented. In particular, the surgeon can navigate in the 3D models of the patient's organs in order to have the possibility to perfectly understand the anatomy and plan in the best way the surgical procedure. In addition, a touchless interaction with the virtual organs is available thanks to the use of an armband provided of electromiographic muscle sensors. To validate the system, we focused in a navigation through aorta artery for mitral valve repair surgery.