cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nyvpd2zrhr.7
title: Survival model database of human digestive system cells exposed to electroporation pulses

description: Based on Peleg–Fermi model, this database provides the cell-specific coefficients for mathematical electroporation analysis, which can be furtherly applied in theoretical analysis, computational simulation, numerical analysis, and treatment planning. The database was established from in vivo cell electroporation experiments and in silico analysis, whereafter its efficacy was evaluated by numerical analysis for electric injury and thermal injury.
By constructing mathematical model with the database, one can simulate the injury distribution and predict the biological outcome during electroporation process. It will facilitate the decision-making for basic research, medical device design, and clinical practice.
The database contained the cell viability data after electroporation pulse treatment, the idiographic value of Ec, Ac and coefficients of 20 cell lines in human digestive system and 2 cell lines in mouse skin.
Cell survival rate of 20 types of human digestive system cell lines after exposure to electroporation pulses;
Ec, Ac and coefficients value of Peleg–Fermi model;
Relative area ratio of thermal injury during electroporation process: Relative area ratio of TI=S_TI⁄S_total;
Relative area ratio of electric injury: Relative area ratio of EI=S_EI⁄S_total;
DOI: 10.17632/45d8cbjdjh.2
title: Data for: Co-gasification Reactivity of Petroleum Coke with Coal and Coal Liquefaction Residue

description: Co-gasification Reactivity of Petroleum Coke with Coal and Coal Liquefaction Residue
DOI: 10.17632/6tyjrb7ymb.2
title: Association between dupilumab and conjunctivitis: A systematic review and meta-analysis of randomized controlled trials

description: Supplementary material
DOI: 10.17632/58mwkj5pf8.3
title: ESG rating of general stock indices

description: #######################################################################################################
# THE FILES HAVE BEEN CREATED BY SZILÁRD ERHART FOR A RESEARCH: ERHART (2022):
# Take it with a pinch of salt - ESG rating of stocks and stock indices,  International Review of Financial Analysis, 10.1016/j.irfa.2022.102308
# USERS OF THE FILES AGREE TO QUOTE THE ABOVE PAPER
# THE PYTHON SCRIPT (PYTHONESG_ERHART.TXT) HELPS USERS TO GET TICKERS BY STOCK EXCHANGES AND EXTRACT ESG SCORES FOR THE UNDERLYING STOCKS FROM YAHOO FINANCE.
# THE R SCRIPT (ESG_UA.TXT) HELPS TO REPLICATE THE MONTE CARLO EXPERIMENT DETAILED IN THE STUDY.
# THE EXPORT_ALL CSV CONTAINS THE DOWNLOADED ESG DATA (SCORES, CONTROVERSIES, ETC) ORGANIZED BY STOCKS AND EXCHANGES.
#######################################################################################################
####################################READ ME############################################################
# BEFORE USING THE MONTE CARLO SIMULATIONS SCRIPT: 
# (1) COPY THE goascores.csv and goalscores_alt.csv FILES ONTO YOUR ON COMPUTER DRIVE. THE TWO FILES ARE IDENTICAL.
# (2) SET THE EXACT FILE LOCATION INFORMATION IN THE 'Read in data' SECTION OF THE MONTE CARLO SCRIPT AND FOR THE OUTPUT FILES AT THE END OF THE SCRIPT
# (3) LOAD MISC TOOLS AND MATRIXSTATS IN YOUR R APPLICATION
# (4) RUN THE CODE.
####################################READ ME############################################################



#######################################################################################################
# DISCLAIMER 
# The author takes no responsibility for the timeliness, accuracy, completeness or quality of the information provided. 
# The author is in no event liable for damages of any kind incurred or suffered as a result of the use or non-use of the 
# information presented or the use of defective or incomplete information. 
# The contents are subject to confirmation and not binding. 
# The author expressly reserves the right to alter, amend, whole and in part, 
# without prior notice or to discontinue publication for a period of time or even completely. 

#######################################################################################################
DOI: 10.17632/wr29vt6z7j.1
title: Enhanced degradation of fomesafen by a rhizobial strain Sinorhizobium sp. W16 in symbiotic association with soybean: Datasets and Supplementary Materials

description: Associated publication: Chen, W., Wang, B., Li, J., Shi, G., Fan, G., Yang, C., Tong, F., Li, Y., Gao, Y. (2022) "Enhanced degradation of fomesafen by a rhizobial strain Sinorhizobium sp. W16 in symbiotic association with soybean."

Fomesafen, a broad-spectrum herbicide with a long duration, is frequently applied in legume farmlands, causing severe damage to crop growth and the local environment. Rhizobia can develop key enzyme systems to degrade organic pollutants and form a symbiotic relationship with legumes to enhance the degradation of fomesafen. However, there are few relevant studies examining this phenomenon. In this study, a fomesafen-degrading rhizobium, Sinorhizobium sp. W16, was isolated from a soybean nodule for the first time. The metabolic study of fomesafen in its pure culture revealed a novel biodegradation pathway, which was initiated by cleavage of the S‒N bond, followed by dechlorination and cleavage of the ether bond. Strain W16 efficiently degraded fomesafen by 69% and 38% under fomesafen concentrations of 5 mg L-1 and 50 mg L-1 over 7 days, respectively. The pot experiment results demonstrated that strain W16 colonizes the soybean rhizosphere successfully and eliminates the inhibition of fomesafen on nitrogen fixation by stimulating the indigenous nitrogen-fixing microbes in the rhizosphere. These developed symbiotic relationships promote fomesafen degradation rates by 29.17%-57.87%. This study provides valuable information about a novel fomesafen-degrading rhizobium with great potential for promoting the bioremediation of herbicide-contaminated farmland soil due to the development of symbiotic systems with legumes.

Contact information: Wei Chen, Jiangsu Academy of Agricultural Sciences, Nanjing, China, wchen@jaas.ac.cn

Dates of data collection: 2019/06 - 2021/07
DOI: 10.17632/fdnrn8br54.1
title: Single cell transcriptome analysis of human embryonic stem cell-derived neurons spanning the rostrocaudal and dorsoventral axes

description: Our inability to derive the neuronal diversity that comprises the posterior central nervous system (pCNS) using human pluripotent stem cells (hPSCs) poses an impediment to understanding human neurodevelopment and disease in the hindbrain and spinal cord. We established a modular, monolayer differentiation paradigm that recapitulates both rostrocaudal (R/C) and dorsoventral (D/V) patterning, enabling derivation of diverse pCNS neurons with discrete regional specificity. Expansive single-cell RNA-sequencing (scRNAseq) analysis coupled with a novel computational pipeline allowed us to detect hundreds of transcriptional markers within region-specific phenotypes, enabling discovery of gene expression patterns across R/C and D/V developmental axes.

Processed data matrix: For each of the 6 samples from direct differentiation (GSE186696) and 14 samples from modular differentiation (GSE186697), We merged the gene expression matrices from each sample into a single matrix while taking the union of the genes from each matrix. The combined matrix is [12,543 cells x 20,598 genes] for the direct differentiation dataset and [49,959 cells x 23,941 genes] for the multiple generation dataset. We transformed the values of these matrices by taking their square root and standardizing each cell’s expression profile by dividing by the mean expression of a gene in each cell for the subsequent clustering analysis.

Clusters - HOX profile clusters: We applied Louvain clustering (k=13) for the visualization of the simultaneous expression of HOX genes in our data set (GSE186697), which revealed inter- and intra-sample HOX profile heterogeneity.

Clusters - primary clusters: We applied sparse non-negative matrix factorization (NMF) (Kim and Park, 2008) based clustering to define cardinal cell groups within our data set (GSE186697) in an unbiased manner and identified 25 primary clusters.

Clusters - subpopulation subclusters: We organized related primary clusters into 17 different groups, and then developed and applied a consensus clustering based approach with the goal of defining robust subclusters representing subtypes of known cardinal populations.

Consensus_graph_matrix: We regrouped our 25 primary cell clusters into 17 subgroups based on similarity of the cell types assigned to each cluster, and created a consensus graph of cell co-clustering relationship per subgroup. For every pair of cells in a subgroup, we counted the proportion of times the two cells were in the same cluster (across multiple clustering approaches), and generated a weighed graph of cells with weights corresponding to this proportion.
DOI: 10.17632/p95h8nxsxm.1
title: Charge Heterogeneity Governing Co-transport of Illite Colloids and Eu(III) 

description: The co-transport of illite colloids (IC) and Eu(III) in the quartz sand and iron-coated sand porous media were investigated by column experiments to address the control mechanism of charge heterogeneity on co-transport.
DOI: 10.17632/6xww8xw7nx.1
title: LINF_300040300

description: Protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5smc4rvjzg.1
title: LINF_300040000

description: protein MKT1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/92hwghxz9m.1
title: LINF_300039900

description: T-complex protein 11
Leishmania infantum (strain JPCM5)
DOI: 10.17632/fhvsvsbvtg.3
title: Amharic dataset for hate speech detection

description: the dataset is collected from social media such as facebook and telegram.
the dataset is further processed. the collection are D1_org: this dataset is neither stemed nor stopword are remove: D1_sf: in this dataset stopwords are removed but not stemmed and in D3_stemed datset is stemmed and stopwords are removed. stemming is done using hornmorpho developed by Michael Gesser( available at https://github.com/hltdi/HornMorpho)
all datasets are normalized and free from noise such as punctuation marks and emojs.
DOI: 10.17632/nj5zgg6p3n.1
title: Data attitudes and motivations (grades 4-6) towards implementing MT-STEM from March-July 2022

description: This is an anonymous dataset from a survey of the students' attitudes and motivations questionnaire in grades 4-6 in Sidoarjo (one of the districts in East Java, Indonesia). The survey was conducted on primary students who have received mathematics teaching integrated with STEM (MT-STEM) treatment by teachers during the even semester from March-July 2022. The MT-STEM treatment is part of the MT-STEM training project by teachers involved in the Scientific Research Program of the Ministry of Education, Culture, Research and Technology of the Republic of Indonesia in the STEM-based pedagogical and psychological teaching model (PePsy) in mathematics learning in Sidoarjo during the pandemic.

The paper entitled “Transition of Primary Students' Attitudes and Motivations in Mathematics Teaching Integrated with STEM” was prepared by Mohammad Faizal Amir, Ghozali Rusyid Affandi, Widyastuti, Hendra Erik Rudyanto.

The data sets and analysis results uploaded on this website were also prepared by Mohammad Faizal Amir, Ghozali Rusyid Affandi, Widyastuti, Hendra Erik Rudyanto.
DOI: 10.17632/fyyp694myt.1
title: SVAC Geocoded

description: The dataset svac_geocoded contains select variables from SVAC version 1.0 by Dara Kay Cohen and Ragnhild Nordås (2014), and is filtered to observations of rebel actors (coded as actor_type 3 in SVAC) in Africa where sexual violence was recorded in the ai_prev, hrw_prev or state_prev variables. It also contains several new variables coded by the author using the SVAC variables. These variables are: location_specific, sv_location, sv_nonspecific, and sv_dummy. The variable SV_dummy is the aggregated prevalence measure by which these observations were filtered, assuming a value of 1 if any of the aforementioned prevalence measures records any level of sexual violence for a rebel actor - year. It has a value of 1 for all observations in the dataset. The variable location_specific assumes a value of 1 if the variable location_text for an observation in SVAC 1.0 specifies one or several locations in which sexual violence occurred that could be conntected to one or several first order admin units. All identifiable admin units are listed and each original observation was duplicated once for every admin unit. The variable sv_location contains the admin unit names. Accordingly, the dataset has a admin unit - year structure, unlike SVAC 1.0 which has an actor - year structure. The variable sv_nonspecific assumes a value of 1 if there were locations in the location_text variable that could not be tied to a specific admin unit.
DOI: 10.17632/s5434tzz78.1
title: Tan et al., LSP2 (Molecular Cell) Supplement

description: Uncropped Gel images and expanded sequence alignments from Tan, et al., ("The human mitochondrial genome contains a second light strand promoter").
Published in Molecular Cell.

Lead contact: Claes M. Gustafsson (claes.gustafsson@medkem.gu.se)

Data uploaded by Benedict G. Tan
DOI: 10.17632/xjmfz3zh2t.1
title: Source data (respiration-body)

description: The results of body ownership and locations sense.
DOI: 10.17632/k3nsmbcrj2.2
title: Dataset on the optimization by response surface methodology for the synthesis of silver nanoparticles using Laxitextum bicolor mushroom

description: Raw datafile on CCD optimization
DOI: 10.17632/m5th4rj76g.1
title: Cannibalism, self-cannibalism and autotomy in an invasive nudibranch

description: These video data refer to a study on behavioral traits characterizing a Mediterranean population of the South African nudibranch Godiva quadricolor (Gastropoda, Nudibranchia). In this study, autotomy, cannibalistic and self-canibalistic behavior observed in the species are discussed in the framework of biological invasions.
DOI: 10.17632/t3rwfpnvbx.1
title: Simple-Mix Software

description: Simple-Mix software for gamma-type Stirling engine
DOI: 10.17632/hnrgbp6sgg.1
title: Response latencies and amplitudes of cABR evoked using consonant vowel /da/ and compound click-sawtooths sounds

description: A total of twenty ears from ten healthy participants (5 females and 5 males), aged 69 between 20 and 35 years (average 28 years), were enrolled. All participants had normal hearing acuity that was defined as the pure-tone hearing threshold levels of 250 Hz, 500 Hz, 1000 Hz, 2000 Hz, 4000 Hz, and 8000 Hz were better than 25 dB HL. The auditory evoked potentials (AEPs) were evoked and acquired by the commercial system (SmartEP, Intelligent Hearing Systems, Miami, USA). The acoustic stimulations were the 40-ms synthetic syllable /da/ (CV-da) and the compound click-sawtooths (CSW) and were delivered by insert earphones (ER-2A) . CSW is an electrically generated sound that starts with a 100-us click, followed by a 10-ms interval of zero amplitude, and finally goes with three cycles of 100-Hz sawtooth. CSW has the same duration of 40 ms as CV-da and similar time-lock features with CV-da, however, is sparse of stimulation energy between click and onset of sawtooth waves as well as between the three sawtooth waves. Electrode montage was non-inverting electrode fixed on high forehead (Fz) and inverting electrodes fixed on both earlobes (Ai). Low forehead (Fpz) served as the reference electrode. AEPs were acquired by averaging two blocks of 2000 repetitions for both stimuli. Peaks V, A, C, D, E, and F of response waveforms  were determined, the latency  and amplitude of each peak were  recorded for statistical analysis.  The
response amplitudes were significantly greater for CSW and the latencies were
significantly shorter for CSW. The latency-intensity functions were also greater for
CSW. For CSW, adjustments of energy component can be made without causing
biased changes of the other. CSW may also be used in future basic research and clinical applications of cABR.
DOI: 10.17632/tx6vmd4g9p.4
title: Environmental Due Diligence Data

description: Environmental due diligence data consists of data evaluating environmental conditions and preparing remedial plans in accordance with the guidelines by regulatory bodies to help in determining the impact on the environment due to contamination.

The EPA dataset has 12 categories: Contaminants, Contaminated media, Depth to Water, Extent of contamination, Geology, Groundwater-Surfacewater interaction, GW Velocity, Remediation Activities, Remediation Goals, Remediation Standards, Source of contamination, Not Relevant. All of these categories are also present in the Augmented dataset, with the exception of the Not Relevant category. The Dataset consists of 1576 sentences totally. 

How to use it?
1. Unzip the compressed files
2. There are two datasets: Environmental Due Diligence Data [EPA], Environmental Due Diligence Data [Augmented]
3. Each dataset contains data corresponding to the EDD categories
DOI: 10.17632/y9dwv4wvgr.1
title: LINF_300040700

description: LORIEN protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/s2s7322356.1
title: LINF_300040500

description: casein kinase 1 isoform 6 | CK1.6
Leishmania infantum (strain JPCM5)
DOI: 10.17632/wfz846sjcm.1
title: Structure of the RAF1-HSP90-CDC37 complex reveals the basis of RAF1 regulation

description: Uncropped Western blots from García-Alonso, Mesa et al. (2022)
DOI: 10.17632/jz22697p75.1
title: Dataset S1: Number of Transients

description: Number of mitochondrial calcium transients/oscillations in sheared endothelial cells with or without pharmacological treatments over time (binned every 60 seconds). 
Treatments: Control (untransduced), MCU overexpression (OX), MCU OX + GsMTx4, MCU OX + MT 25 nM, MCU OX + MT 100 nM, MCU OX + MT 1 uM, and MCU OX + L-NAME.
Sample size: 60 cells from n = 4 independent experiments were analyzed for each treatment.
DOI: 10.17632/cs36nwv4xs.1
title: Standardizing the accessibility of e-content, software and communication technologies in point of e-learning: dataset of standards

description: English
The dataset contains information about standards (92 documents in total) that are directly or indirectly related to digital accessibility of e-learning. International (global), international (European Union), interstate (Commonwealth of Independent States) and federal (Russian Federation) standards are considered. Document selection was carried out in October-December 2021 on the official websites of standardization bodies according to thematic headings and keywords in the title and/or abstract of the document. The keywords "accessibility", "disability", "e-learning", "educational technologies", their forms and Russian-language equivalents were used for the search. Only accepted and valid standards (latest versions of documents) were selected. The dataset contains hyperlinks to freely available texts.
Documents are systematized by categories of digital accessibility recipients (visual impairments, hearing and speech impairments, cognitive impairments, neurological impairments, locomotor disorders, elderly) and categories of main standardization objects (digital content accessibility, software availability, Internet communications accessibility, users with disabilities in the digital environment, development and interpretation of digital accessibility standards). 
The dataset is presented in two languages: English (Digital_accessibility_for_e-learning_standards_EN.xlsx) and Russian (Digital_accessibility_for_e-learning_standards_RU.xlsx).

Русский
Набор данных содержит сведения о стандартах (всего 92 документа), имеющих прямое или косвенное отношение к цифровой доступности электронного обучения. Рассмотрены международные (глобальные), международные (Европейский Союз), межгосударственные (Содружество Независимых Государств) и федеральные (Российская Федерация) стандарты. Отбор документов выполнен в октябре-декабре 2021 года на официальных сайтах органов стандартизации по тематическим рубрикам и по ключевым словам в наименовании и/или реферате документа. Для поиска использовались ключевые слова "accessibility", "disability", "e-learning", "educational technologies", их формы и русскоязычные эквиваленты. Были отобраны только принятые и действующие стандарты (последние версии документов). В наборе данных приведены гиперссылки на тексты документов, размещенных в свободном доступе.
Документы систематизированы по категориям реципиентов цифровой доступности (с нарушениями зрения, с нарушениями слуха и речи, с когнитивными нарушениями, с неврологическими нарушениями, с локомоторными нарушениями, пожилого возраста) и категориям основных объектов стандартизации (доступность цифрового контента, доступность программного обеспечения, доступность интернет-коммуникаций, пользователи с ограниченными возможностями в цифровой среде, разработка и толкование стандартов цифровой доступности). 
Набор данных представлен на английском (Digital_accessibility_for_e-learning_standards_EN.xlsx) и русском (Digital_accessibility_for_e-learning_standards_RU.xlsx) языках.
DOI: 10.17632/ywwsxd69y3.2
title: Hidradenitis Suppurativa and Sleep: A Systematic Review

description: This dataset includes supplemental for "Hidradenitis Suppurativa and Sleep: A Systematic Review". It includes the search strategies for study selection as well as the CASP quality checklist for study appraisal.
DOI: 10.17632/crh6zr5krc.1
title: Data for: Assessing the Impact of Policy and Regulation Interventions in European Sovereign Credit Risk Networks: What worked best?

description: replication files: please see readme.pdf for details
DOI: 10.17632/5mjd8kbvbd.1
title: Retail Trader Sophistication and Stock Market Quality Dataset and Code

description: This is the replication code and data used in Eaton, Green, Roseman, and Wu "Retail Trader Sophistication and Stock Market Quality: Evidence from Brokerage Outages", forthcoming at the Journal of Financial Economics.

For data that is licensed, such as CRSP and TAQ, sample datafiles are used with meaningless numbers.
DOI: 10.17632/345pn7krrm.1
title: Yield and agronomic trait data for multi-environment trials for chile pepper for 2021 growing season

description: Yield, plant morphology, and phenology-related traits for chile pepper collected in 2021 growing season at Las Cruces and Los Lunas, NM, USA
DOI: 10.18434/m32083
title: MCV QoE End to End Access Time Measurement Data

description: Data collected includes audio device characterization (latency/delay). End to end access time of Land Mobile Radios (LMR) including direct mode operation and trunked mode operation.
DOI: 10.18434/m32085
title: MCV QoE End to End Access Time Software Code

description: This codeset was developed for the QoE MCV end to end access time measurement methodology.
DOI: 10.13020/tvtg-fk90
title: Numerical RGB and LAB values of the skin colors extracted using Photoshop from Facial images used for skin color variation analysis
DOI: 10.15784/601591
title: South Pole Weather and Accumulation Measurements 2017-2020

description: An instrument suite composed of weather sensors and a set of 'SnowFox' Gamma Ray neutron counters used to estimate the water equivalence of snow accumulation, measured continuously between December 2017 and January 2020.
DOI: 10.18434/m31865
title: MCV QoE Mouth To Ear Latency Measurement Data
DOI: 10.18434/mds2-2310
title: MRT GUI Software