cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3256538
title: Integrated analysis of miRNA landscape and cellular networking pathways in stage-specific prostate cancer

description: <strong>Figure S1.</strong> Heat map of miRNA-microarray. Expression of miRNAs differentially expressed and assessed in microarray analysis of RNA isolated from four different cell lines of prostate cancer (LNCaP, PC3, DU145, 22Rv1) compared with control cell line of prostate cancer (PrEc). The red color depicts high and green color showed a lower level of expression at p value &lt;0.01.

<strong>Figure S2A.</strong> Drug resistance by drug efflux. The internetworking relationship with miRNAs and plasma membrane protein P-glycoprotein (Pgp-plasma membrane protein). The miRNA-130a and miR-181a are downregulated in this pathway (green color) and linked with Pg and BCRP (breast cancer resistant protein). miR-133a and miR379 are involved in regulating the expression of MRP2. While miR-298, miR27a, miR331-5p and miR-130a are involved in regulating the expression of poly-glycoprotein (P-gp).

<strong>Figure S2B.</strong> Epithelial mesenchymal transition pathway. The miR-200b was downregulated during early-stage prostate cancer and was involved in inhibiting Jagged-2 (JAG2), one of the NOTCH ligands.

<strong>Figure S2C.</strong> Adipogenesis pathway. The expression of miR-326 was upregulated during the metastatic stage of prostate cancer, (red color) and involved in regulating the expression of CCAT/enhancer binding protein β (C/EBPβ), directly linked with the nuclear hormone receptor peroxisome proliferator-activated receptor-gamma (PPAR-γ).

<strong>Figure S2D.</strong> Bone metamorphosis signaling pathway. The expression of miR-140, miR-145, and miR-155 was upregulated, along with miR-140 and miR-145 were associated with modulation of gene SOX9, and miR-155 was involved in regulating the gene FOXO3A.

<strong>Figure S2E.</strong> Th1 pathway. In this pathway, the expression of miR-146a showed a higher level of expression (red color) and modulated the expression of NF-κB signaling.

<strong>Figure S2F.</strong> Th1 and Th2 pathway. In this pathway, the expression of miR-146a showed a lower level of expression (green color) and may modulate the expression of NF-κB signaling.

<strong>Table S1.</strong> List of differentially expressed miRNAs derived from LNCaP cells lines statistically significant as P &lt; 0.001.

<strong>Table S2.</strong> List of differentially expressed miRNAs derived from PC3 cells lines statistically significant as P &lt; 0.001.

<strong>Table S3.</strong> List of differentially expressed miRNAs derived from DU145 cells lines statistically significant as P &lt; 0.001.

<strong>Table S4.</strong> List of differentially expressed miRNAs derived from 22Rv1 cells lines statistically significant as P &lt; 0.001.
DOI: 10.17632/37fnjc4yhm.1
title: miRNA and chronic pain
DOI: 10.17632/6kbpbyn6vg.2
title: Digital libraries for teacher education: A case study of the University of Education, Winneba, Ghana

description: Includes statistical data
DOI: 10.17632/zjfbbztc6b.1
title: Villach Dobratsch October 2018

description: PV output power distribution; comparison between Villach (low altitude) and Dobratsch (high altitude); October 2018; Columns: hour, minute, second, azimuth, elevation, power
DOI: 10.17632/zjfbbztc6b.2
title: Villach Dobratsch February 2019

description: PV output power distribution; comparison between Villach (low altitude) and Dobratsch (high altitude); February 2019; Columns: hour, minute, second, azimuth, elevation, power
DOI: 10.18430/m3.irrmc.4150
title: X-ray diffraction data for the SETDB1-x48 project
DOI: 10.18430/m3.irrmc.4152
title: X-ray diffraction data for the SETDB1-x42 project
DOI: 10.18430/m3.irrmc.4153
title: X-ray diffraction data for the SETDB1-x43 project
DOI: 10.18430/m3.irrmc.4154
title: X-ray diffraction data for the SETDB1-x40 project
DOI: 10.18430/m3.irrmc.4155
title: X-ray diffraction data for the SETDB1-x41 project
DOI: 10.18430/m3.irrmc.4156
title: X-ray diffraction data for the SETDB1-x46 project
DOI: 10.18430/m3.irrmc.4157
title: X-ray diffraction data for the SETDB1-x47 project
DOI: 10.18430/m3.irrmc.4158
title: X-ray diffraction data for the SETDB1-x44 project
DOI: 10.18430/m3.irrmc.4159
title: X-ray diffraction data for the SETDB1-x45 project
DOI: 10.18430/m3.irrmc.4316
title: X-ray diffraction data for the HDAC6-x15 project
DOI: 10.18430/m3.irrmc.4375
title: X-ray diffraction data for the HDAC6-x711 project
DOI: 10.18430/m3.irrmc.4618
title: X-ray diffraction data for the HDAC6-x144 project
DOI: 10.18430/m3.irrmc.4619
title: X-ray diffraction data for the HDAC6-x145 project
DOI: 10.18430/m3.irrmc.4620
title: X-ray diffraction data for the HDAC6-x146 project
DOI: 10.18430/m3.irrmc.4621
title: X-ray diffraction data for the HDAC6-x147 project
DOI: 10.18430/m3.irrmc.4630
title: X-ray diffraction data for the HDAC6-x148 project
DOI: 10.18430/m3.irrmc.4631
title: X-ray diffraction data for the HDAC6-x149 project
DOI: 10.18430/m3.irrmc.4708
title: X-ray diffraction data for the HDAC6-x715 project
DOI: 10.18430/m3.irrmc.4710
title: X-ray diffraction data for the HDAC6-x714 project
DOI: 10.18430/m3.irrmc.4726
title: X-ray diffraction data for the HDAC6-x712 project
DOI: 10.18430/m3.irrmc.4729
title: X-ray diffraction data for the HDAC6-x710 project
DOI: 10.18430/m3.irrmc.4997
title: X-ray diffraction data for the HDAC6-x150 project
DOI: 10.18430/m3.irrmc.5202
title: X-ray diffraction data for the HDAC6-x713 project
DOI: 10.18430/m3.irrmc.5210
title: X-ray diffraction data for the HDAC6-x71 project
DOI: 10.17632/6stp7ck8kh.1
title: MTBI vs healthy people

description: My data is to study the difference between mild brain injury and healthy people in different components of attention, providing direction for clinical attention rehabilitation training.
DOI: 10.17632/cbb825g3r7.1
title: PETROLEUM SUBSIDY AND ITS IMPACT ON TAX REVENUE VOLATILITY

description: The data was used to investigate the relationship between PMS Subsidy and Tax Revenue Volatility. The following is the abstract from the work:: Energy pricing did not only have an implication on the indigent but on the national government as well. Petroleum subsidy tolerance impacts the government revenue of certainty but the extent of its impact needs to be determined. Therefore, it becomes imperative to assess the contribution of the petroleum subsidy on tax volatility. Data were sourced from the NNPC Annual Statistical Bulletin (ASB) for the year 1997, 2005, 2008 and 2016; Central Bank of Nigeria (CBN) Statistical Bulletin and Statement of Accounts and Annual Reports. An exploratory analysis was conducted on extracted data to generate other variables of interest such as subsidy on premium motor spirit, tax revenue volatility before proceeding to Lease Squares analyses. ARCH and GARCH models were applied to ascertain the volatility of tax revenue. Petroleum subsidy positively impacts tax revenue volatility; the impact was minimal but statistically significant at 1 per cent significance level. Exchange rate increased the tax revenue volatility by 5.10 point in the long-run, likewise gross domestic savings by 0.4 point in the long-run and both estimates were statistically significant at 1 per cent respectively. Both government expenditure and gross fixed capital formation reduced the tax revenue volatility at 0.05 and 0.03 point respectively and the estimates were statistically significant at 10 per cent and 1 per cent. The ECM showed that any deviation in the estimates would be restored within a year and this is statistically significant at 1 per cent. It was therefore recommended that the government should do more to manage and maintain appropriate exchange rate policy and keep up improving on its expenditure towards capital formation and investment in order to manage tax revenue volatility.
DOI: 10.17632/r62v2sgfc8.1
title: Genomic data for the pathogens Ceratocystis manginecans and C. fimbriata

description: This data provides the MinION assembled genomes that were used in the article "QTL mapping of mycelial growth and aggressiveness to distinct hosts in Ceratocystis pathogens" by Fourie et al. 2019. These genomes contain MinION sequence reads as well as Illumina HiSeq sequence reads. The data also contains a python script that was used to convert the SNP data to binary data used for downstream analyses.
DOI: 10.18430/m3.irrmc.4151
title: X-ray diffraction data for the SETDB1-x49 project
DOI: 10.18430/m3.irrmc.4192
title: X-ray diffraction data for the SETDB1-x5 project
DOI: 10.18430/m3.irrmc.4235
title: X-ray diffraction data for the SETDB1-x51 project
DOI: 10.18430/m3.irrmc.4236
title: X-ray diffraction data for the SETDB1-x50 project
DOI: 10.18430/m3.irrmc.4237
title: X-ray diffraction data for the SETDB1-x53 project
DOI: 10.18430/m3.irrmc.4238
title: X-ray diffraction data for the SETDB1-x52 project
DOI: 10.18430/m3.irrmc.4239
title: X-ray diffraction data for the SETDB1-x55 project
DOI: 10.18430/m3.irrmc.4240
title: X-ray diffraction data for the SETDB1-x54 project
DOI: 10.18430/m3.irrmc.4242
title: X-ray diffraction data for the SETDB1-x56 project
DOI: 10.18430/m3.irrmc.4655
title: X-ray diffraction data for the HDAC6-x720 project
DOI: 10.18430/m3.irrmc.4656
title: X-ray diffraction data for the HDAC6-x721 project
DOI: 10.18430/m3.irrmc.4657
title: X-ray diffraction data for the HDAC6-x722 project
DOI: 10.18430/m3.irrmc.4658
title: X-ray diffraction data for the HDAC6-x723 project
DOI: 10.18430/m3.irrmc.4711
title: X-ray diffraction data for the HDAC6-x717 project
DOI: 10.18430/m3.irrmc.4712
title: X-ray diffraction data for the HDAC6-x716 project
DOI: 10.18430/m3.irrmc.4739
title: X-ray diffraction data for the HDAC6-x719 project
DOI: 10.18430/m3.irrmc.4742
title: X-ray diffraction data for the HDAC6-x718 project
DOI: 10.18430/m3.irrmc.4864
title: X-ray diffraction data for the HDAC6-x158 project
DOI: 10.18430/m3.irrmc.4881
title: X-ray diffraction data for the HDAC6-x153 project
DOI: 10.18430/m3.irrmc.4887
title: X-ray diffraction data for the HDAC6-x151 project
DOI: 10.18430/m3.irrmc.4890
title: X-ray diffraction data for the HDAC6-x159 project
DOI: 10.18430/m3.irrmc.4897
title: X-ray diffraction data for the HDAC6-x152 project
DOI: 10.18430/m3.irrmc.4900
title: X-ray diffraction data for the HDAC6-x157 project
DOI: 10.18430/m3.irrmc.4901
title: X-ray diffraction data for the HDAC6-x156 project
DOI: 10.18430/m3.irrmc.4902
title: X-ray diffraction data for the HDAC6-x155 project
DOI: 10.18430/m3.irrmc.4903
title: X-ray diffraction data for the HDAC6-x154 project
DOI: 10.18430/m3.irrmc.5213
title: X-ray diffraction data for the HDAC6-x72 project
DOI: 10.17632/3xknb3sdb5.1
title: Test database on concrete-filled steel tubular columns

description: This database contains results of 3103 tests carried out on CFST columns over the past few years.
DOI: 10.17632/mmhw3vhf6w.1
title: Heterogeneous Dataset of Arrhythmia

description: This is a heterogeneous dataset of heart disease and it is collected from MIT-BIH Arrhythmia database of PhysioNet (https://physionet.org ). The created heterogeneous dataset contains three different types of data, where the age of the patient is in numeric form, gender in categorical form and ECG in signal format. The collected data contain six different classes, normal sinus rhythm (NSR), pulmonary ventricular contraction (PVC), sinus tachycardia (ST), sinus bradycardia (SB), atrial fibrillation(AF), and atrial flutter(AFL). The dataset contains 167 male (M) and 98 female (F) where they are in the age range from 1 to 89. In the dataset, all the10-second (3600 samples) fragments of the ECG signals were selected and they are in mat format (Matlab).
DOI: 10.18430/m3.irrmc.3987
title: X-ray diffraction data for the SETDB1-x60 project
DOI: 10.18430/m3.irrmc.3988
title: X-ray diffraction data for the SETDB1-x61 project
DOI: 10.18430/m3.irrmc.3989
title: X-ray diffraction data for the SETDB1-x62 project
DOI: 10.18430/m3.irrmc.3990
title: X-ray diffraction data for the SETDB1-x63 project
DOI: 10.18430/m3.irrmc.4195
title: X-ray diffraction data for the SETDB1-x6 project
DOI: 10.18430/m3.irrmc.4233
title: X-ray diffraction data for the SETDB1-x59 project
DOI: 10.18430/m3.irrmc.4234
title: X-ray diffraction data for the SETDB1-x58 project
DOI: 10.18430/m3.irrmc.4241
title: X-ray diffraction data for the SETDB1-x57 project
DOI: 10.18430/m3.irrmc.4315
title: X-ray diffraction data for the HDAC6-x16 project
DOI: 10.18430/m3.irrmc.4653
title: X-ray diffraction data for the HDAC6-x728 project
DOI: 10.18430/m3.irrmc.4654
title: X-ray diffraction data for the HDAC6-x729 project
DOI: 10.18430/m3.irrmc.4659
title: X-ray diffraction data for the HDAC6-x724 project
DOI: 10.18430/m3.irrmc.4660
title: X-ray diffraction data for the HDAC6-x725 project
DOI: 10.18430/m3.irrmc.4661
title: X-ray diffraction data for the HDAC6-x726 project
DOI: 10.18430/m3.irrmc.4662
title: X-ray diffraction data for the HDAC6-x727 project
DOI: 10.18430/m3.irrmc.5055
title: X-ray diffraction data for the HDAC6-x162 project
DOI: 10.18430/m3.irrmc.5056
title: X-ray diffraction data for the HDAC6-x163 project
DOI: 10.18430/m3.irrmc.5057
title: X-ray diffraction data for the HDAC6-x161 project
DOI: 10.18430/m3.irrmc.5058
title: X-ray diffraction data for the HDAC6-x166 project
DOI: 10.18430/m3.irrmc.5060
title: X-ray diffraction data for the HDAC6-x164 project
DOI: 10.18430/m3.irrmc.5061
title: X-ray diffraction data for the HDAC6-x165 project
DOI: 10.18430/m3.irrmc.5212
title: X-ray diffraction data for the HDAC6-x73 project
DOI: 10.17632/2r4m9zmf5h.2
title: Complete Streets State Statutes and Provisions, January 1972 - December 2018

description: Across the U.S., states have adopted Complete Streets legislative statutes: state laws that direct transportation agencies to routinely design and operate roadways to provide safe access for all users, including pedestrians, bicyclists, motorists, and public transit users. State Complete Streets statutes were identified using legal research databases. Using established legal mapping methods, a qualitative content analysis was conducted of state laws made effective through December 2018. A codebook and open-source data set were developed to support the public use of the data. A systematic qualitative analysis was conducted of Complete Streets legislative statutes made effective between January 1972 and December 2018. LexisNexis Academic and Fastcase legal research databases were used to search for and obtain full statute texts across all 50 states and Washington, DC. The search terms that were used included: “complete streets,” “pedestrian facilities,” “pedestrian accommodation,” “pedestrian and bicycle,” “pedestrian or bicycle,” “road construction,” and “routine accommodation.” To validate and inform the search results, comparisons were made between the laws obtained through the two databases and a publicly available list of known state Complete Streets statutes that have been documented by the AARP and the National Complete Streets Coalition. In cases where only a citation or act number was available in either database, websites of state legislatures were visited to obtain the full statute texts. A list of variables were developed and defined to systematically code the statute texts. Variables were informed by the text of the laws themselves, as well as policy elements developed by the National Complete Streets Coalition to describe a comprehensive Complete Streets policy. To ensure familiarity with legal terminology, two law students coded each of the statutes. An initial list of variables and definitions was reviewed and refined by the coders and supervising researcher through an iterative process. Laws were coded for a total of 35 variables within 16 discrete categories, including road user types, roadway development and maintenance activities referenced, and provisions related to design standards, exceptions, and funding allocations. Each student coded the laws for all variables separately, blinded to the other’s results. To calculate interrater reliability, half of the coded statutes were randomly selected using the random number generator in Excel. Interrater agreement was calculated to be very high at 0.92, indicating strong interrater reliability. Divergences were reviewed by the supervising researcher and both coders and were ultimately resolved within the data set. The full data set, codebook, and decision rules are available here.
DOI: 10.17632/g4jrbkk7v9.4
title: Dataset for controlling sugarcane press-mud fermentation to increase bioethanol steam reforming for hydrogen production

description: The data shows fermentation, steam reforming, and mass balances of the hydrogen production from sugarcane press-mud. Also, the data contain information about the characterization in terms of moisture, solid content, protein, carbohydrates, ash, and fibers. Moreover, statistical analysis are described in this data set.
DOI: 10.17632/vc7rpc6gtc.1
title: Dataset for PV Array in Mt. Hope T&TEC Location Trinidad and Tobago 2012

description: This research examined the PV module under Trinidad and Tobago’s climatic conditions. Based on the literature, the performance of PV modules varies with climate and one of the most significant factors in this variation is the operating cell temperature of the module. The literature shows several methods for calculating this temperature using environmental parameters. In keeping with the goals which are: 1. Identify any reduction in performance due to temperature in Trinidad. 2. Identify the existing models capabilities to predict cell temperature in Trinidad. 3. Determine the effect humidity has on the cell temperature in Trinidad. The data for the 2.2kW mono-Si system (LG 255S1C-G2 ) was taken by a sunny-boy inverter system in conjunction with a reference cell mounted in the POA. The thermocouples were place on the back surface, showing no variation of temperature across the surface, secured with a thermally conductive tape. The anemometer was placed on the windward side of the modules, which is north-east. Data was collected in a table like format to a connected computer in the building’s interior. They were located at the Trinidad and Tobago Electricity Commission building in Mt Hope. They were oriented Southward at a tilt of 11 o, keeping the position the same would negate any effects the roof surface or geographical location would have and these impacts would be encompassed in the power output. The effect of being on a sloped roof which the literature shows increases back surface temperature was accounted for by both installations being a flat roof, raised over 6” off the surface.
DOI: 10.18430/m3.irrmc.3981
title: X-ray diffraction data for the SETDB1-x68 project
DOI: 10.18430/m3.irrmc.3982
title: X-ray diffraction data for the SETDB1-x69 project
DOI: 10.18430/m3.irrmc.3983
title: X-ray diffraction data for the SETDB1-x64 project
DOI: 10.18430/m3.irrmc.3984
title: X-ray diffraction data for the SETDB1-x65 project
DOI: 10.18430/m3.irrmc.3985
title: X-ray diffraction data for the SETDB1-x66 project
DOI: 10.18430/m3.irrmc.3986
title: X-ray diffraction data for the SETDB1-x67 project
DOI: 10.18430/m3.irrmc.4103
title: X-ray diffraction data for the SETDB1-x70 project
DOI: 10.18430/m3.irrmc.4194
title: X-ray diffraction data for the SETDB1-x7 project
DOI: 10.18430/m3.irrmc.4313
title: X-ray diffraction data for the HDAC6-x17 project
DOI: 10.18430/m3.irrmc.4336
title: X-ray diffraction data for the HDAC6-x171 project
DOI: 10.18430/m3.irrmc.4337
title: X-ray diffraction data for the HDAC6-x170 project
DOI: 10.18430/m3.irrmc.4939
title: X-ray diffraction data for the HDAC6-x737 project
DOI: 10.18430/m3.irrmc.4940
title: X-ray diffraction data for the HDAC6-x736 project
DOI: 10.18430/m3.irrmc.4941
title: X-ray diffraction data for the HDAC6-x735 project
DOI: 10.18430/m3.irrmc.4942
title: X-ray diffraction data for the HDAC6-x734 project
DOI: 10.18430/m3.irrmc.4943
title: X-ray diffraction data for the HDAC6-x733 project
DOI: 10.18430/m3.irrmc.4945
title: X-ray diffraction data for the HDAC6-x731 project
DOI: 10.18430/m3.irrmc.4946
title: X-ray diffraction data for the HDAC6-x730 project
DOI: 10.18430/m3.irrmc.5059
title: X-ray diffraction data for the HDAC6-x167 project
DOI: 10.18430/m3.irrmc.5062
title: X-ray diffraction data for the HDAC6-x168 project
DOI: 10.18430/m3.irrmc.5063
title: X-ray diffraction data for the HDAC6-x169 project
DOI: 10.18430/m3.irrmc.5074
title: X-ray diffraction data for the HDAC6-x738 project
DOI: 10.18430/m3.irrmc.5094
title: X-ray diffraction data for the HDAC6-x732 project
DOI: 10.17632/dyf6pnntt2.1
title: Common garden comparison between allopolyploid Salsola ryanii and its progenitors S. tragus and S. australis
DOI: 10.17632/xgv997gypy.1
title: Review of global mental health research in the construction industry from 1970-2018

description: This is the generated data. The analysis in CSV file and other screenshots would enable quick access of the documents described in the article. Kindly note that the year in the author co-citation analysis does not indicate the year of the document.
DOI: 10.17632/y6stzwzs39.1
title: Data from: Stress-induced changes in bone marrow stromal cell populations revealed through single-cell protein expression mapping
DOI: 10.18430/m3.irrmc.4100
title: X-ray diffraction data for the SETDB1-x73 project
DOI: 10.18430/m3.irrmc.4101
title: X-ray diffraction data for the SETDB1-x72 project
DOI: 10.18430/m3.irrmc.4102
title: X-ray diffraction data for the SETDB1-x71 project
DOI: 10.18430/m3.irrmc.4106
title: X-ray diffraction data for the SETDB1-x75 project
DOI: 10.18430/m3.irrmc.4107
title: X-ray diffraction data for the SETDB1-x74 project
DOI: 10.18430/m3.irrmc.4312
title: X-ray diffraction data for the HDAC6-x740 project
DOI: 10.18430/m3.irrmc.4314
title: X-ray diffraction data for the HDAC6-x741 project
DOI: 10.18430/m3.irrmc.4338
title: X-ray diffraction data for the HDAC6-x173 project
DOI: 10.18430/m3.irrmc.4340
title: X-ray diffraction data for the HDAC6-x175 project
DOI: 10.18430/m3.irrmc.4341
title: X-ray diffraction data for the HDAC6-x174 project
DOI: 10.18430/m3.irrmc.4342
title: X-ray diffraction data for the HDAC6-x177 project
DOI: 10.18430/m3.irrmc.4343
title: X-ray diffraction data for the HDAC6-x176 project
DOI: 10.18430/m3.irrmc.4563
title: X-ray diffraction data for the HDAC6-x172 project
DOI: 10.18430/m3.irrmc.4937
title: X-ray diffraction data for the HDAC6-x739 project
DOI: 10.18430/m3.irrmc.4985
title: X-ray diffraction data for the HDAC6-x742 project
DOI: 10.18430/m3.irrmc.4986
title: X-ray diffraction data for the HDAC6-x743 project
DOI: 10.18430/m3.irrmc.4991
title: X-ray diffraction data for the HDAC6-x744 project
DOI: 10.18430/m3.irrmc.5207
title: X-ray diffraction data for the HDAC6-x74 project
DOI: 10.5061/dryad.5m9n159/1
title: Dryad Item 10.5061/DRYAD.5M9N159/1

description: (:tba)
DOI: 10.5061/dryad.5m9n159/2
title: Dryad Item 10.5061/DRYAD.5M9N159/2

description: (:tba)
DOI: 10.5061/dryad.5m9n159/3
title: Dryad Item 10.5061/DRYAD.5M9N159/3

description: (:tba)
DOI: 10.17632/ktgcp4mtk2.1
title: ALDH1L1 bacTRAP microarray from striatum 12, 24, and 48 hrs post-MPTP exposure (mice)

description: Raw data from Illumina MouseRef-8 v2 Expression BeadChip microarray. ALDH1L1 bacTRAP mice were exposed to a single dose of MPTP (12.5 mg/kg, s.c.) or saline and sacrificed at 12, 24, or 48 hours post-exposure. Astrocyte RNA was isolated from pooled striatal tissue (7 mice/sample; 2-3 samples per group) following the TRAP procedure [Heiman et al. (2014) Cell type-specific mRNA purification by translating ribosome affinity purification (TRAP). Nat Protoc, 9: 1292-1291.]