cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh343970.07fu
title: SH343970.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1708410.08fu
title: SH1708410.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1708411.08fu
title: SH1708411.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/dwp6z5pgdg.1
title: In-vitro bioactive properties of camel milk-derived probiotic bacteria

description: This data presents some of the bioactive properties of camel milk-derived probiotic bacteria.
DOI: 10.17632/tn929cjbkt.1
title: Exceptional evolutionary lability of flower-like inflorescences (pseudanthia) in Apiaceae subfamily Apioideae

description: A NEXUS file containing:
1) Aligned matrices of five molecular markers: nrDNA ITS (ITS), nr DNA ETS (ETS), rpoC1 (rpoC1), rps16 (rps16) and rpl16 (rpl16)
2) Aligned matrices of five molecular markers trimmed with TrimAl v. 1.259: nrDNA ITS (ITStrimmed), nr DNA ETS (ETStrimmed), rpoC1 (rpoC1trimmed), rps16 (rps16trimmed) and rpl16 (rpl16trimmed)
3) Concatenated trimmed matrices (CONCATENATED)
4) Maximum-likelihood tree reconstructed based on concatenated matrix with maximum-likelihood approach, as implemented in RAxML
DOI: 10.17632/9p8zyvmdy2.1
title: The relativistic Schrödinger equation through FFTW 3: An extension of quantumfdtd

description: In order to solve the time-independent three-dimensional Schrödinger equation, one can transform the time-dependent Schrödinger equation to imaginary time and use a parallelized iterative method to obtain the full three-dimensional eigen-states and eigen-values on very large lattices. In the case of the non-relativistic Schrödinger equation, there exists a publicly available code called quantumfdtd which implements this algorithm. In this paper, we (a) extend the quantumfdtd code to include the case of the relativistic Schrödinger equation and (b) add two optimized Fast Fourier Transform (FFT) based kinetic energy terms for non-relativistic cases. The new kinetic energy terms (two non-relativistic and one relativistic) are computed using the parallelized FFT-algorithm provided by the FFTW 3 library. The resulting quantumfdtd v3 code, which is publicly released with this paper, is backwards compatible with version 2, supporting explicit finite-differences schemes in addition to the new FFT-based schemes. Finally, we (c) extend the original code so that it supports arbitrary external file-based potentials and the option to project out distinct parity eigen-states from the solutions. Herein, we provide details of the quantumfdtd v3 implementation, comparisons and tests of the three new kinetic energy terms, and code documentation.
DOI: 10.17632/7w7r8mtx3d.1
title: ∂PV: An end-to-end differentiable solar-cell simulator

description: We introduce ∂PV, an end-to-end differentiable photovoltaic (PV) cell simulator based on the drift-diffusion model and Beer–Lambert law for optical absorption. ∂PV is programmed in Python using JAX, an automatic differentiation (AD) library for scientific computing. Using AD coupled with the implicit function theorem, ∂PV computes the power conversion efficiency (PCE) of an input PV design as well as the derivative of the PCE with respect to any input parameters, all within comparable time of solving the forward problem. We show an example of perovskite solar-cell optimization and multi-parameter discovery, and compare results with random search and finite differences. The simulator can be integrated with optimization algorithms and neural networks, opening up possibilities for data-efficient optimization and parameter discovery.
DOI: 10.17632/bn9hbvr336.1
title: Structural data from Hiendelaencina shear zone (Guadalajara, Spain)

description: The dataset includes individual measurements of structural planes and lines that were collected in the northern part of Guadalajara County (Spain), in 2020 and 2021. Measurements were taken both from the Precambrian and Paleozoic metamorphic basement, and from the Permian, Triassic, Cretaceous and Cenozoic sedimentary rocks, near of villages such as Pálmaces de Jadraque, Angón, Rebollosa de Jadraque, Robledo de Corpes, Cardeñosa, Riofrío del Llano, La Bodera, Naharros and La Miñosa. This structural data was collected during fieldwork campaigns aimed at mapping major structures developed during the Variscan and Alpine orogenies in the region.
The dataset is divided into separate spreadsheets that include measurements of:
•	S0: bedding or primary planar anisotropies related to sedimentation.
•	S1: first penetrative foliation developed during the Variscan Orogeny.
•	S2: second penetrative foliation developed during the Variscan Orogeny.
•	S3: third foliation developed during the Variscan Orogeny.
•	ML2: mineral lineation related to S2.
•	SL2: stretching lineation related to S2.
•	CL2: crenulation lineation related to S2 (formed coevally to S2).
•	CL3: crenulation lineation related to S3 (formed coevally to S3).
•	ACL: crenulation lineation related to Alpine folding that affected any aforementioned structural planes.
•	D2 faults: fault planes that were formed during a second phase of Variscan deformation.
•	D2 tension gashes: tension gashes that were formed during a second phase of Variscan deformation
Plane orientations are reported by their dip direction and dip, whereas line orientations are described by their trend and plunge.
The location of each individual measurement is provided using ETRS89 Datum (UTM Zone 30) and expressed in UTM coordinates (in meters), including Northing and Easting.
DOI: 10.17632/bfnw4pvp35.2
title: R-codes IL-32 promotes proliferation and oxidative phosphorylation and is expressed in a subgroup of myeloma patients with poor prognosis and an immature plasma cell profile

description: R-studio scripts for bioinformatic analysis in "IL-32 promotes proliferation and oxidative phosphorylation and is expressed in a subgroup of myeloma patients with poor prognosis and an immature plasma cell profile"
DOI: 10.17632/tz8c27m3b9.1
title: Cross-cultural literacy interlinked with the failure of expatriates’ assignment in developing countries: Evidence from expatriates in business operation in Nigeria

description: Data for Cross-cultural literacy interlinked with the failure of expatriates’ assignment in developing countries: Evidence from expatriates in business operation in Nigeria
DOI: 10.17632/b64ggb36ht.1
title: Normative Documents Interactive Question Answering Dataset (NDIQAD)

description: This dataset consists of questions and answers based on selected normative documents. It includes 12 normative documents from different universities and banks, e.g. Study Rules of Mendel University in Brno, MIT Term Regulations and Examination Policies or Terms and Conditions for Personal Line of Credit (PLOC) of HSBC bank. These documents are manually annotated with 1767 questions by 15 annotators. The average document length is 14 pages. The dataset has 12.8 questions per page, 1.1 questions per paragraph, 33% coverage of paragraphs on average.

Questions are formed as one sentence. Answers are exact pieces of document texts. The searched area of one question is always one whole document. Each question-answer pair is also accompanied with a path leading over headings of the document from the document's root to the section containing the answer. This structural information enables testing of interactive question answering when the QA system is asking supplementary questions to limit the number of answers by disambiguating the document section. 

The dataset contains the original documents in PDF together with questions and answers in CSV files. The CSV files use semicolon [;] as the separator, and optionally double quotes ["] to escape strings. The double quote is doubled when used inside a text [""]. Each row has four attributes, see an example of a dataset item below.

Document:  Study Rules of Mendel University in Brno
Path: Study Rules / 2 Study in Bachelor’s and Master’s Degree Programs / 2.11 Study
interruption
Question: How can I interrupt my study?
Answer: Student’s study may be interrupted at the student’s request or ex officio.

You can find all questions twice in the dataset. The first version is the original question as written by the annotator. The second version marked "optimized" contains questions where the first person ("I", "me", "my") has been replaced by the actor of the document (a student or a client). This replacement is done automatically and can improve QA performance.

This dataset is unique mainly due to the type of the documents. Our focus is on normative documents with strict consistent formatting, numbered headings and paragraphs, low use of pronouns, etc. We do not focus on national laws as the majority of other research in this field, rather we focus on documents used to support internal processes in large organisations. We found that current QA methods do not perform well on this kind of documents. Hence, we have introduced this dataset to address the issues and we have also presented a new approach to QA on normative documents, see TODO.
DOI: 10.17632/rbccz8kd4j.1
title: How abiotic stress-induced socialization leads to the formation of massive and protective multicellular structures in Chlamydomonas

description: We performed a quantitative proteomic analysis by comparing the culture media of 6 socializer (saz) mutants that aggregate spontaneously, with that of the wild type. For each strain, five biological replicates were prepared and analyzed by tandem mass spectrometry. In our seven samples we identified a total of 763 proteins in the culture medium (two proteomic files).
We analyzed the transcriptome of the same six saz mutants in comparison with the wild type, using mRNA Illumina High-Sequencing technology. During this analysis, a total of 16,829 transcripts were detected and quantified, (RNA-Seq file).
DOI: 10.17632/f7hnnyrssm.1
title: Exact Shapley Values for Local and ModelTrue Explanations of Decision Tree Ensembles - Supplementary Data

description: Data accompanying the software release (https://github.com/Biodesix/EjectShapley) for: Exact Shapley Values for Local and ModelTrue Explanations of Decision Tree Ensembles
DOI: 10.17632/h8kthcwsjg.1
title: Datos: Calidad de sueño, adherencia al tratamiento, hemoglobina glucosilada 

description: Los datos obtenidos muestran las interelaciones entre las características sociodemograficas (edad, años de estudio, años de diagnostico DT2 e IMC) con la Calidad de Sueño; Adherencia al Tratamiento Terapéutico y los valores de hemoglobina glucosilada de las Mujeres con DT2.
DOI: 10.34740/kaggle/dsv/2936677
title: F_score_results
DOI: 10.17632/z9m39n9gbb.1
title: Consumption, nicotine dependence and motivation for smoke cessation during COVID-19 pandemic in Brazil: An observational cross sectional study 

description: 
2
Introduction
Smoking habits may change during COVID-19 pandemic and this information is relevant to improve COVID-19 prevention and control measures for smoking population. The aim of the study was to analyze the consumption of tobacco, levels of nicotine dependence and motivation for smoke cessation during COVID-19 pandemic in Brazil. Also to identify previous knowledge of smokers about use of tobacco and complications from COVID-19.
Methods
In this survey, observational prospective study, 122 smokers responded an online form (Google Forms). Between April and May 2020 (M1), patients provided general data and history of smoking habits. Fagerstrom and Wisconsin scale were also measured. Participants answered questions about prior knowledge of smoking and complications of COVID-19. Participants answered how pandemic period is influencing their habits and consumption of tobacco. After 30 to 45 days (M2), the same questionnaires were reapplied.
Results
Daily consumption of cigarettes did not change (p=0.85). In motivation for smoking cessation, no differences were identified between M1 and M2 (p=0.17), also for the level of nicotine dependence (Fagerstrom) (p=0.68) and nicotine withdrawal symptoms (Wisconsin Scale) (p=0.85). We identified a correlation between cigarettes/day before pandemic with motivation for smoking cessation (r= 0,19; p= 0,03) and nicotine dependence level (r= 0,61; p= P<0.001). No significant correlations were observed between load consumption in M1 (during pandemic) and motivation (r= 0,13; p= 0,12). Although a significant association were observed with nicotine dependence level (r= 0,69, p= P<0.001).
Conclusions
We conclude that consumption, motivation, and levels of nicotine dependence were not modified during the COVID-19 pandemic in Brazil.
DOI: 10.5281/zenodo.5789951
title: Mine Haul Truck Rear Dump Profiles

description: 3D CAD files from photogrammetrical surveys of dump and stockpile faces made by mine haul trucks
DOI: 10.5281/zenodo.5789950
title: Mine Haul Truck Rear Dump Profiles

description: 3D CAD files from photogrammetrical surveys of dump and stockpile faces made by mine haul trucks
DOI: 10.5281/zenodo.5789942
title: Dataset: Pyrogenic carbon decomposition is critical to resolving fire's role in the Earth system

description: These data, deposited as an Excel (.xlsx) file, tabulate the data used to construct the figures in the proposed Nature Geoscience paper "Pyrogenic carbon decomposition rates are critical to resolving fire's role in the Earth system" (NGS-2020-12-02852C). The spreadsheets are titled after their respective Figures. Additional sheets correspond to Extended Data for global pyrogenic carbon production for different vegetation types, the rate of source vegetation-specific erosion of pyrogenic carbon to the inland water network, and the rate of tree mortality in the tropics following post-drought fires. The data are aggregated global outputs from the global land surface model ORCHIDEE-MICT (Biochar version), and are denominated in units of carbon mass, often as a rate quantity. 'PFTs' refer to plant functional types, a common rubric for discerning the differing types and roles of vegetation in functional ecology and their relation to the carbon cycle. Interested parties are requested to contact the corresponding author for raw data files (model output), which are too large to deposit online.
DOI: 10.5281/zenodo.5789941
title: Dataset: Pyrogenic carbon decomposition is critical to resolving fire's role in the Earth system

description: These data, deposited as an Excel (.xlsx) file, tabulate the data used to construct the figures in the proposed Nature Geoscience paper "Pyrogenic carbon decomposition rates are critical to resolving fire's role in the Earth system" (NGS-2020-12-02852C). The spreadsheets are titled after their respective Figures. Additional sheets correspond to Extended Data for global pyrogenic carbon production for different vegetation types, the rate of source vegetation-specific erosion of pyrogenic carbon to the inland water network, and the rate of tree mortality in the tropics following post-drought fires. The data are aggregated global outputs from the global land surface model ORCHIDEE-MICT (Biochar version), and are denominated in units of carbon mass, often as a rate quantity. 'PFTs' refer to plant functional types, a common rubric for discerning the differing types and roles of vegetation in functional ecology and their relation to the carbon cycle. Interested parties are requested to contact the corresponding author for raw data files (model output), which are too large to deposit online.
DOI: 10.17632/y872vhtfrc.1
title: SPEECh Model for Study on Grid Impacts of Charging Infrastructure Access

description: This data set accompanies the github repository - https://github.com/SiobhanPowell/speech-grid-impact - and supports the research paper, "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption", submitted in 2021. This paper uses a novel, data-driven model of electric vehicle drivers' charging behaviours to study the grid impacts of charging infrastructure access and control at deep levels of electric vehicle adoption. 

The files here include five folders: (1) a Data folder containing models of driver charging behaviour that should be downloaded to run the Github model; (2) normalized load profiles for each driver group, giving the per vehicle daily load profile in kW; (3) the charging profiles produced for each of the main WECC grid scenarios studied in the paper; (4) the control objects learned to model workplace charging control; and (5) objects needed to run the grid dispatch model. 

Authors: Siobhan Powell (siobhan.powell@stanford.edu), Gustavo Vianna Cezar, Liang Min, Prof Ines Azevedo, and Prof Ram Rajagopal (ramr@stanford.edu).
DOI: 10.17632/fv6y4t55m8.1
title: 2020 Artsakh War Mental Health Research Dataset

description: The data in this dataset was self-reported through an online Google Forms survey from February 3-May 31, 2021.
DOI: 10.17632/p7tbm4xgsz.1
title: RQC helical hairpin in Bloom's syndrome helicase regulates DNA unwinding by dynamically intercepting nascent nucleotides. Jianbing et al

description: Original data related to a manuscript of Jianbing et al.
DOI: 10.17632/g6wngmyx4p.1
title: Strontium Oxide nanofluids

description: Strontium Oxide nanoparticles were dispersed in highly viscous oil and examined its thermal conductivity and viscosity.
DOI: 10.17632/jk3wr7crj7.3
title: MEcGANs

description: This repository contains data for the manuscript titled "Cloud Removal from Satellite Imagery using Multispectral Edge-filtered Conditional Generative Adversarial Networks". The implementation of the MEcGANs method presented in the manuscript is available at https://github.com/andrzejmizera/MEcGANs.

The repository contains data that are based on freely available satellite images from the WorldView-2 European Cities dataset (https://earth.esa.int/eogateway/catalog/worldview-2-european-cities).
Data provided by the European Space Agency. © ESA (2020). 
© DigitalGlobe, Inc. (2020), provided by European Space Imaging.

Data.zip: 
- The 'images' folder contains target RGB, co-registered NIR, cloud-mask images, a real cloud RGB image and a co-registered real cloud NIR image used to synthesise clouded RGB and NIR images in accordance with the description provided in the manuscript.
- The 'images/RGB' and 'images/NIR' images were obtained with the use of freely available satellite images from the WorldView-2 European Cities dataset. Images of various cities were selected and cropped into images of size 256x256.
- The 'images/real_cloud_rgb_image.png' and 'images/real_cloud_nir_image.png' files contain an RGB image and a co-registered NIR image of a real cloud, respectively. They were obtained by extracting a part from one of large images available in the 'Landsat 8 Cloud Cover Assessment Validation Data' dataset (https://landsat.usgs.gov/landsat-8-cloud-cover-assessment-validation-data).
- The 'datasets' folder contains lists of image filenames for the train and test subsets of the two datasets used in the experiments, i.e., the 'Berlin dataset' and the 'Paris dataset'.

Results.zip:
- Contains the complete sets of outputs generated by MEcGANs and McGANs for the two datasets used in the experiments for different values of NIR cloud penetrability, i.e., 1%, 0.5%, and 0.1%, as described in the manuscript. Jupyter notebooks for visual comparison of the generated images by the two methods, computation of the total difference contours area (TDCA) with respect to the corresponding ground truth images, and computation of four quality metrics, i.e., peak signal-to-noise ratio (PSNR), root mean squared error (RMSE), structural similarity index (SSIM), and spatial correlation coefficient (SCC), are provided.
DOI: 10.6084/m9.figshare.17267396
title: Data for LSTM for prediction of Mangkut

description: Data for Combining LSTM statistical analysis with dynamical models to investigate Typhoon Mangkhut (2018)
DOI: 10.6084/m9.figshare.17267396.v1
title: Data for LSTM for prediction of Mangkut

description: Data for Combining LSTM statistical analysis with dynamical models to investigate Typhoon Mangkhut (2018)