cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12326168.v1
title: Supplementary Material for: Identification of <b><i>Transient Receptor Potential Channel 4-Associated Protein</i></b> as a Novel Candidate Gene Causing Congenital Primary Hypothyroidism

description: <b><i>Background:</i></b> Congenital primary hypothyroidism (CH) is the most common endocrine disorder in neonates. <b><i>Methods:</i></b> To identify novel genes, we performed whole exome sequencing (WES) in 6 patients with CH due to thyroid dysgenesis (TD). The potential effects of the most relevant variants were analyzed using in silico prediction tools. The most promising candidate gene, transient receptor potential channel 4-associated protein (<i>TRPC4AP</i>), was sequenced in 179 further patients with TD. Expression of <i>TRPC4AP</i> in human thyroid was investigated using RT-PCR. <i>Trpc4ap</i>- functional analysis was performed in <i>Xenopus laevis</i> using Morpholino (MO) antisense oligomers. <b><i>Results:</i></b> WES identified a likely damaging mutation in <i>TRPC4AP</i> leading to a de novo stop codon p.Q552*. Targeted sequencing of <i>TRPC4AP</i> demonstrated gene variants with predicted damaging potential in 5 patients resulting each in an amino acid exchange (p.P706S, p.F729L, p.S777C, and p.N229S). We demonstrated that <i>TRPC4AP</i> is expressed in human thyroid gland tissue. Using <i>Xenopus laevis</i>, we showed that the volume of the tadpole thyroid anlage was reduced by 20% in <i>Trpc4ap</i> MO knockdowns compared to controls and by 41% in “Clustered Regularly Interspaced Short Palindromic Repeats”/Cas9-mediated gene knockout experiments. <b><i>Discussion:</i></b> A recognized interaction of TRPC4AP and the NF-kappa-B-essential-modulator encoded by <i>IKBKG</i> gene was identified by IPA analysis. IKBKG plays a role in activation of the NF-κB-signaling pathway and regulates genes involved in proliferation and survival of thyrocytes and expression of key enzymes of thyroid hormone synthesis. <b><i>Conclusion:</i></b> <i>TRPC4AP</i> was identified as a novel candidate gene in TD, but further studies are needed to validate its role in thyroid function.
DOI: 10.6084/m9.figshare.10073741.v1
title: 世界一流大学建设高校（42所）比较句数量及比较结果

description: 世界一流大学建设高校（42所）比较句数量及比较结果
DOI: 10.6084/m9.figshare.3563091.v1
title: Appendix A. Complete specification of mixture t model used for the simulation study and harbor seal analysis.

description: Complete specification of mixture t model used for the simulation study and harbor seal analysis.
DOI: 10.17632/vctkckgkvn
title: Engagement Strategies for Medical Workers to Promote COVID-19 Vaccine

description: These documents include anonymous data from participants in a dialog session to measure the impact of interactive communication with medical workers on their knowledge and attitude regarding the COVID-19 vaccine and their encouragement of patients and relatives to accept it. Additionally, the data analysis document produced by the data analysis software, questionnaire, variable definitions and codes, consent form, and ethical clearance documents are uploaded.
DOI: 10.6084/m9.figshare.20847196.v1
title: A Tutorial on the Generalized Method of Moments (GMM) in Finance

description: ABSTRACT Context: empirical problems in which the researcher is faced with a model that is partially specified. In these cases, the GMM method is the natural alternative for estimating the parameters of interest. Objective: the goal of this paper is to offer a tutorial that allows the researcher to understand both the theory and empirical aspects of the GMM method. Methods: we discuss the GMM concepts, forms of estimation, and limitations associated with the method. As a way of illustrating the method, we use two applications in the area of empirical finance. The first application is the estimation of the parameters of a consumption-based asset pricing models; the second is the estimation of the parameters of the evolution of the interest rate in continuous time. The data and codes in R are provided as online appendices. Conclusion: the GMM method can be used in problems where other methods such as maximum likelihood are not feasible, or even when the researcher wants to estimate a model partially specified.
DOI: 10.17632/p7jjtrt82w
title: HardwareX

description: 3D Printed Lightbox for the imaging of microfluidic device
DOI: 10.6084/m9.figshare.12466001.v1
title: Punan_comparative_language_data.xlsx

description: This dataset is collection of 200-word Swadesh word lists associated with the following publication:<br>Lansing, S., G.S. Jacobs, S. S. Downey, P. Norquest, M. Cox, S.L. Kuhn, H. Sudoyo, P. Kusuma. In submission. Deep ancestry of contemporary mobile hunter-gatherers in Borneo. <br>
DOI: 10.6084/m9.figshare.21482961.v1
title: JAMES data

description: figures data
DOI: 10.6084/m9.figshare.11861130.v1
title: Adhikari et al. 2020.xlsx

description: this is the data set of epiphytes (Orchids and ferns) in two host trees in two forest management in Nepal Himalayas.
DOI: 10.6084/m9.figshare.13158479.v6
title: Reference-grade genome sequence and annotation of Gossypium rotundifolium (K2)

description: The reference-grade cotton genome assemblies and annotation of <i>Gossypium rotundifolium</i> (K<sub>2</sub>) using Oxford Nanopore sequencing technology.
DOI: 10.6084/m9.figshare.21929628.v1
title: Supplementary Dataset 1 - pET22b-IrmA-S.gb

description: Nucleotide sequence of the pET-IrmA-S plasmid construct
DOI: 10.6084/m9.figshare.22638964.v1
title: qPCR AriaMx files for the different groups of mosquitoes exposed and unexposed to insecticides

description: The AriaMX files contain qPCR templates that were ran on AriaMX machine and used to extract the Ct-values of different mosquito groups exposed and not exposed to insecticides. The name of the AriaMx files correspond to the names of the excel sheets uploaded. For instance; excel file; plateWT1_Deltamethrin exposed_p4 AA1 M2 gste4 coe 4j5 p3 gste5 _Ct-values.xlsx corresponds to the AriaMx file; qPCR_plateWT1.amxd and so on.
DOI: 10.6084/m9.figshare.25256290.v3
title: QBLink-KG: QBLink Adapted to DBpedia Knowledge Graph

description: QBLink-KG is a modified version of QBLink, which is a high-quality benchmark for evaluating conversational understanding of Wikipedia content.QBLink consists of sequences of up to three hand-crafted queries, with responses being single-named entities that match the titles of Wikipedia articles.For the QBLink-KG, the English subset of the DBpedia snapshot from September 2021 was used as the target Knowledge Graph. QBLink answers provided as the titles of Wikipedia infoboxes can be easily mapped to DBpedia entity URIs - if the corresponding entities are present in DBpedia - since DBpedia is constructed through the extraction of information from Wikipedia infoboxes.QBLink, in its original format, is not directly applicable for Conversational Entity Retrieval from a Knowledge Graph (CER-KG) because knowledge graphs contain considerably less information than Wikipedia. A named entity serving as an answer to a QBLink query may not be present as an entity in DBpedia. To modify QBLink for CER over DBpedia, we implemented two filtering steps: 1) we removed all queries for which the wiki_page field is empty, or the answer cannot be mapped to a DBpedia entity or does not match to a Wikipedia page. 2) For the evaluation of a model with specific techniques for entity linking and candidate selection, we excluded queries with answers that do not belong to the set of candidate entities derived using that model.The original QBLink dataset files before filtering are:QBLink-train.jsonQBLink-dev.jsonQBLink-test.jsonAnd the final QBLink-KG files after filtering are:QBLink-Filtered-train.jsonQBLink-Filtered-dev.jsonQBLink-Filtered-test.jsonWe used below references to construct QBLink-KG:Ahmed Elgohary, Chen Zhao, and Jordan Boyd-Graber. 2018. A dataset and baselines for sequential open-domain question answering. In <i>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</i>, pages 1077–1083, Brussels, Belgium. Association for Computational Linguistics.https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09Lehmann, Jens et al. ‘DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia’. 1 Jan. 2015 : 167 – 195.To give more details about QBLink-KG, please read our research paper:Zamiri, Mona, et al. "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph", The Web Conference 2024.<br>
DOI: 10.17632/6hcf5mf7fy
title: Health Insurance Claim Count data with many zeros

description: The Data set is National Health Insurance Scheme (NHIS) data with excess zero count. The data were obtained from health Ogun State health facility, Ota, Ogun State. Claims made by 116 users of National Health Insurance Scheme (NHIS) user's from September 2016 to July 2017. Response variable is Number of Encounter, while predictors are Sex, Age of patients, number of drugs prescribed (DrugAdm), and Number of drugs out of stock (DrugOS). The data is over-dispersed with dispersion parameter of 1.4980 since the dispersion parameter is greater than 1. Model such as Bayesian and frequentist techniques can be used to model the data. Such work can be found in the study by Adesina et. al (2017), Adesina et. al (2018), Adesina et al (2019), Dare et al (2019), Adesina et. al (2021).
DOI: 10.6084/m9.figshare.28853459.v1
title: supporting data for article "Structural differences in bacterial communities of substrate-associated biofilms influence oyster larval settlement and post-metamorphosis survival"

description: supporting data for article "Structural differences in bacterial communities of substrate-associated biofilms influence oyster larval settlement and post-metamorphosis survival", including water data and larvae count data. Methodology and other details can be found in maintext of article.
DOI: 10.17632/5ccwt5fv7y
title: UMAT/VUMAT for linear, bilinear and piecewise Drucker-Prager models

description: These are the user material subroutines (UMAT/VUMAT) in Abaqus for linear, bilinear, and piecewise Drucker-Prager models, where strain hardening can be considered. The UMAT/VUMAT are created separately for each case where the finite element model is two-dimensional and three-dimensional.
DOI: 10.6084/m9.figshare.20335530.v2
title: Australian weather types, 1979-2015

description: This is a dataset of the weather systems present over Australia during the period 1979-2015, detected using ERA-Interim. The weather types are described in detail in Pepler et al. (2020), and used for assessing the influence of weather systems on rainfall changes in Pepler et al. (2021). Data is provided for all of Australia, but the weather types used are most useful for areas south of 25S. <br> There is one netCDF file for each year, which contains 60hourly weather type information on a 0.75 degree grid. Each grid cell has a number from 0 to 10, indicating the type of weather present at that location and time: Cyclone Only (1), Front Only (2), Thunderstorm Only (3), Cyclone-Front (4), Cyclone-Thunderstorm (5), Front-Thunderstorm (6), Triple Storm (7), High (8), Warm front (9), Unconfirmed front/cyclone (10), Undefined (0) <br> Cyclones are identified using a combination of the Murray and Simmonds (1991) and Wernli and Schwierz (2006) methods; cold fronts using a combination of the Simmonds et al. (2012) wind-based method and Berry et al. (2011) thermal front parameter method, with a 3 degree rgion of influence; and thunderstorms using the Dowdy (2020) dataset of calibrated thunderstorm environments for Australia. These three datasets are combined into 7 combined weather types to look at interactions and compounding effects. In addition to netCDF files, we provide CSVs of the monthly contribution of each weather type to rainfall for 15 regions of Australia (https://www.climatechangeinaustralia.gov.au/en/overview/methodology/nrm-regions), derived by combining the 6-hourly weather types data with a daily 0.05 dataset of gridded rainfall over Australia (AGCDv1, Jones et al. 2009). Similar CSVs can be generated for custom regions of Australia on request wuth the provision of an appropriate shapefile or netCDF mask. <br> This dataset was developed as part of the Victorian Water and Climate Initiative and supported by funding from the Victorian Department of Environment, Land, Water and Planning. For more information about VicWaCI see https://www.water.vic.gov.au/climate-change/climate-and-water-resources-research/the-victorian-water-and-climate-initiative <br> References: Pepler, A. S., A. J. Dowdy, P. van Rensch, I. Rudeva, J. L. Catto, and P. Hope, 2020: The contributions of fronts, lows and thunderstorms to southern Australian rainfall. <em>Clim. Dyn.</em>, <strong>55</strong>, 1489–1505, https://doi.org/10.1007/s00382-020-05338-8. Pepler, A. S., A. J. Dowdy, and P. Hope, 2021: The differing role of weather systems in southern Australian rainfall between 1979 – 1996 and 1997 – 2015. <em>Clim. Dyn.</em>, 2289–2302, https://doi.org/10.1007/s00382-020-05588-6.
DOI: 10.6084/m9.figshare.24551845.v2
title: NEST - DFAB, UMAR apartment occupancy

description: A list of occupancy levels for the different rooms of the two NEST units DFAB and UMAR. More detailed information on occupancy is not available.
DOI: 10.6084/m9.figshare.28639496.v1
title: Research data for article "Influence of Battery Electrode Chemistry on Electrolyte Decomposition"

description: The dataset includes electrochemical testing data, and data from X-ray photoelectron spectroscopy measurements. Experimental methodologies are provided in the article.
DOI: 10.6084/m9.figshare.28926410.v1
title: Baza danych na rok 2023

description: Baza danych na rok 2023
DOI: 10.17632/bgrgb75gyt
title: Blockchain Transactions in Fashion Supply Chains

description: We collected data on partnerships between fashion firms and blockchain firms in which blockchain firms assist fashion firms in implementing blockchain in their production processes and supply chains. The data was collected and analysed using press releases and newspaper articles in Factiva, an online search, and a search on the websites of blockchain/IT firms. The final dataset includes 95 collaborations from 2015 until 2023. It includes information on the partnership announcement date, names of partners, quotes from press releases and articles describing three types of transaction costs, type of blockchain, and data sources.
DOI: 10.17632/ppwxdgbbx4
title: Plantar foot temperature during sitting and standing in participants with diabetes and controls

description: Continuous temperature data collected from the plantar (sole) of the foot of 13 participants with diabetes and 12 healthy control participants during sitting and standing. Collected with our custom personalised temperature sensing insoles (see paper for description). If using this data please cite: Beach, C.; Cooper, G.; Weightman, A.; Hodson-Tole, E.F.; Reeves, N.D.; Casson, A.J. Monitoring of Dynamic Plantar Foot Temperatures in Diabetes with Personalised 3D-Printed Wearables. Sensors 2021, 21, 1717. https://doi.org/10.3390/s21051717 The data presented here has been converted into °C and filtered using a low-pass filter with cut-off frequency of 0.02 Hz. Temperature data is provided in csv format and the participant metadata is in xlsx format. In addition data is provided in Python serialized (pickle) format to allow easy importing to Python (see below for steps to do this). Use of the Anaconda Distribution is recommended. In the metadata, Testing Date 1 refers to date where pressure mat data was collected to inform the personalised insole design. Testing Date 2 refers to the date where the temperature data uploaded here was collected. To import this data into Python use the following commands: import numpy as np import pandas as pd import pickle as pkl with open('participants.pkl', 'rb') as f: participants= pkl.load(f) # This line needs to be indented, however Mendeley is removing this formatting 'participants' is then a dictionary containing dictionaries for each participants. Within each of these dictionaries are four Pandas DataFrame's containing the temperature data for each foot, for sitting and standing. For example, if you wanted to access the DataFrame for the left foot of participant H1 during standing you would type: participants['H1']['sitting_L'] Within each DataFrame each column corresponds to: Time: The timestamp of each datapoint in HH:MM:SS as recorded by the iPhone app Ch0: Temperature data from the Hallux Ch1: Temperature data from the 1st Metatarsal Head Ch2: Temperature data from the 5th Metatarsal Head Ch3: Temperature data from the Calcaneus So if you wanted just the temperature data from the left 1st Metatarsal Head of participant H1 during sitting you would type: participants['H1']['sitting_L']['Ch1']
DOI: 10.17632/vnb7by88ch
title: B2024_Dataset

description: Dataset for paper: Fiscal decentralization, local institutional quality, and spatial linkages in local economic growth: Empirical evidence from Vietnam 
Independent Variables
DC (ln): The ratio of local government spending to supplementary spending from the central government per capita
PS (ln): Total public expenditure per capita
Institution: The Provincial Competitive Index 
K (ln): Local investment capital 
L (ln): Local labor force
Edu: The percentage of educated local labor force
DOI: 10.6084/m9.figshare.19970708.v1
title: Diatom mesocosm, salinity thresholds

description: Raw data <br>
DOI: 10.6084/m9.figshare.20071661.v1
title: Source data of Heteroepitaxy of semiconducting 2H-MoTe2 thin films on arbitrary surfaces for large-scale heterogeneous integration

description: All data are available in the main text
DOI: 10.6084/m9.figshare.22732703.v1
title: T2R clades classification

description: Text files named according to the T2R family sublades contain the sequences names that belong to this subclade.
DOI: 10.6084/m9.figshare.25804786.v1
title: Dataset.zip

description: for PV power prediction study
DOI: 10.6084/m9.figshare.7103075.v1
title: Comparison of optical coherence tomographic findings between Behcet disease patients with and without ocular involvement and healthy subjects

description: ABSTRACT Purpose: We aimed to compare the retinal nerve fiber layer, ganglion cell layer, inner plexiform layer, and the choroid thickness between patients with Behcet disease and healthy subjects by using spectral domain optical coherence tomography (SD-OCT). Methods: Ninety eyes of 45 healthy subjects and 104 eyes of 52 patients with Behcet disease were included in this study. Rheumatoid factor and C-reactive protein levels were measured by blood testing in the patients. Results: The mean thickness of the retinal nerve fiber layer, ganglion cells layer, and inner plexiform layer were significantly lower in patients with Behcet's disease than in the healthy subjects. The mean choroidal thickness was significantly higher in the patients than in the healthy subjects. Conclusions: SD-OCT was a useful and non-invasive tool for the detection of retinal nerve degeneration and choroidal changes in patients with Behcet disease even in the absence of ocular involvement.
DOI: 10.6084/m9.figshare.19731804.v1
title: Additional file 3 of An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs

description: Additional file3. eqtl distances and meta data for eqtlgen.
DOI: 10.6084/m9.figshare.21990461.v1
title: DS and IXS CsV3Sb5 Source data

description: This folder contains the DS of the CsV3Sb5 and the elastic and inelastic x-ray scatterind data.
DOI: 10.17632/zrxmphb3c9
title: Chapter 12: Data Preparation for Fraud Analytics: Final Capstone: Credit Card Fraud

description: In this project, we will analyze a credit card transaction dataset and apply machine learning techniques to detect fraudulent transactions. Credit card fraud is a pervasive issue that impacts both cardholders and financial institutions. Swift detection of fraudulent transactions can mitigate financial losses and bolster customer confidence. The dataset, named "creditcardfraud.csv", is an extensive collection of credit card transactions. It contains 5,050 transactions, of which 50 are fraudulent and 5,000 are legitimate. Each transaction is characterized by 30 features (V1–V28, Amount, and Class), where V1–V28 are anonymized features derived from a PCA transformation, 'Amount' represents the transaction amount, and 'Class' indicates if the transaction is fraudulent (1) or not (0).
DOI: 10.6084/m9.figshare.23566914.v1
title: kddcup.data.gz

description: Data for joblib example on compression, to make sure we can always serve it. Please don't use this data but refer to the original website: http://kdd.ics.uci.edu/databases/kddcup99/task.html
DOI: 10.17632/4dw7gfj84n
title: EPMA and LA-ICP-MS analyses of the minerals in the UG2&UG3 chromitites - Bushveld Complex

description: The UG2 Reef constitutes the largest resource of PGE in the Eastern and Western Limbs of the Bushveld Complex, South Africa. The chromitites described here occur in the Upper Critical Zone (UCZ), a complexly layered sequence of norite-anorthosite with subordinate pyroxenite and harzburgite. In the Western Limb of the Bushveldd Complex (South Africa), the UG2 is overlain by two or three subordinate layers of chromitite, the “UG2 Leaders”, which may coalesce with the main seam to create a thick reef. At Winnaarshoek, in the Eastern Limb, the UG2 Leaders are poorly developed and are displaced by the UG3 and UG3a-b chromitites. Two sills are identified at Winnaarshoek, a pyroxenitic lower sill (UG2; UG2 Leaders) and a pyroxenite-harzburgite upper sill (UG3; UG3a-b). The UG2 and UG3 chromitites are underlain by thick layers of anorthosite, part of the primary stratigraphy, and overlain by pyroxenite related to the sills. Present data represents ICP-MC (Trace elements and REE) on bulk rock samples, as well as EPMA data (quantitative point analysis) on chromite, plagioclase, pyroxenes, and olivine from all these layers, from cores sampled across UG2-UG3-UG3a,b corresponding depths. The problem of the chromium budget, i.e., the anomalous thickness of chromitite contained in the pyroxenitic sills, is resolved by appealing to the entrainment of xenocrysts of Cr-spinel at depth. In some cases, the xenocrysts were sufficiently abundant as to form chromite slurries. The coalescence and bifurcation of individual chromitite layers suggests emplacement of multiple slurries. The composition of the Cr-spinel is tightly constrained and closely-spaced EPMA data have shown the absence of internal fractionation in the chromitites. Each layer of chromitite is characterised by the presence of loosely-packed grains of Cr-spinel (in a silicate matrix) interspersed with coarsely crystalline mosaics of Cr-spinel, the latter related to prolonged periods of annealing. Primary textures have been modified to such an extent that it is implausible to expect to find evidence of settling of crystals or basal growth. The mobile nature of the slurries was facilitated by the small size (&lt;0.1 mm) of the rounded, dense grains of Cr-spinel. Some slurries sank to the base of sills and disaggregated the crystalline fabric of the footwall anorthosite, entraining the liberated, refractory crystals of plagioclase. The Cr-spinel and plagioclase in the UG2 and UG3, which in part could be described as chromite-anorthosites, are not related by cotectic crystallization. Each chromitite layer is characterized by a unique PGE signature, mineralization having been collected by the chromite slurries at depth and transported as microxenocrysts which piggybacked on the Cr-spinel.