cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13181231.v1
title: Supplementary Material for: Fibrinogen Levels and Cognitive Profile Differences in Patients with Mild Cognitive Impairment

description: <b><i>Background:</i></b> Fibrinogen is considered a marker of vascular pathology, indicating a weakened blood-brain barrier, and has a causative role in neuroinflammation and neurodegeneration. Little is known about the relationship between fibrinogen levels and cognitive function in patients with mild cognitive impairment (MCI). We aimed to investigate differences in cognitive profiles according to plasma fibrinogen levels in patients with MCI and the influence of plasma fibrinogen levels on cognitive decline. <b><i>Methods:</i></b> This retrospective cohort study included 643 patients with MCI: 323 patients in the high fibrinogen (high fib) group and 320 patients in the low fibrinogen (low fib) group. A multiple linear regression model was performed to compare cognitive test performance between groups. The Cox proportional hazard model was used to analyze the hazard ratio of fibrinogen level for disease progression. <b><i>Results:</i></b> The high fib group demonstrated poorer performance in attention, executive function, and confrontation naming than the low fib group. After adjustment for <i>APOE</i> genotype, the high fib group was associated with poor attention and executive function. After adjustment for vascular risk factors including body mass index, hypertension, diabetes mellitus, dyslipidemia, and smoking history, the high fib group showed declined attention and confrontation naming ability. High fibrinogen levels did not predict disease progression to CDR 1. <b><i>Conclusion:</i></b> High plasma fibrinogen levels were associated with poor performance in attention in patients with MCI, regardless of <i>APOE</i> genotype or vascular risk factors.
DOI: 10.17632/3wcd96sjzg.1
title: Data for: OLIVINE MELILITITES, MANTLE XENOLITHS, AND XENOCRYSTS OF THE TAKARINDIONA DISTRICT: PETROGENESIS, MAGMATIC EVOLUTION, AND THE SUB-CONTINENTAL LITHOSPHERIC MANTLE OF EAST-CENTRAL MADAGASCAR

description: the original data set used in this paper
DOI: 10.17632/vmv3n6zxph.1
title: Data for: OLIVINE MELILITITES, MANTLE XENOLITHS, AND XENOCRYSTS OF THE TAKARINDIONA DISTRICT: PETROGENESIS, MAGMATIC EVOLUTION, AND THE SUB-CONTINENTAL LITHOSPHERIC MANTLE OF EAST-CENTRAL MADAGASCAR

description: data set for our paper, major elements, trace elements, mineral chemistry
DOI: 10.17632/fzmzgkt7yw.1
title: DroSeq - Functional atlas of primary miRNA maturation by the Microprocessor
DOI: 10.17632/csc8shzkwc.1
title: Dataset S1

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS analyses corresponding to the biological replicate Ov1_PSG using FASP protocol. Ov1 – Octopus vulgaris biological replicate number 1. PSG – posterior salivary glands. FASP – Filter-Aided Sample Preparation.
DOI: 10.17632/787g95ppwv.1
title: Dataset S2

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS analyses corresponding to the biological replicate Ov2_PSG using FASP protocol. Ov2 – Octopus vulgaris biological replicate number 2. PSG – posterior salivary glands. FASP – Filter-Aided Sample Preparation.
DOI: 10.17632/gzmx7b7km2.1
title: Achieving Sustainable Development Goals in Bangladesh: An Organizational Analysis

description: The study aimed to understand where organizations currently stand about the allocation of business and achievement of the 2030 Agenda targets. Both primary and secondary data were used in this research. Secondary data sources were allocation of business, citizen charter, annual report, annual performance agreement (APA), budget allocation, current projects/programs, and completed projects. The allocation of 59 organizations' business was critically reviewed to understand their roles and responsibilities and find out the constraints in achieving the SDGs. It was found that the public sectors are working to achieve 111 targets of the SDGs out of 169. It can be considered remarkable progress made by any country in the world. Most of the targets were attended partially, and the full attainment is required to boost up the progress. On the other hand, every Ministry is not performing equally. There are dots in the allocation of business of different ministries and divisions. Allocations of various public institutions' businesses are not befitted to the Sustainable Development Goals (SDGs). Based on this research's findings, further in-depth analysis should be carried on each organization separately.
DOI: 10.17632/d6wxyt22kx.1
title: Dataset S4

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS analyses corresponding to the biological replicate Ov1_PSG using ISD protocol. Ov1 – Octopus vulgaris biological replicate number 1. PSG – posterior salivary glands. ISD – In solution digestion.
DOI: 10.17632/zbtkf2nsvh.1
title: Dataset S5

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS analyses corresponding to the biological replicate Ov2_PSG using ISD protocol. Ov2 – Octopus vulgaris biological replicate number 2. PSG – posterior salivary glands. ISD – In solution digestion.
DOI: 10.17632/df4cbg73tx.1
title: Dataset S6

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS analyses corresponding to the biological replicate Ov3_PSG using ISD protocol. Ov3 – Octopus vulgaris biological replicate number 3. PSG – posterior salivary glands. ISD – In solution digestion.
DOI: 10.17632/j4khf8ngkb.1
title: Dataset S7
DOI: 10.17632/zwkh97bdw9.1
title: The Hsp40 Mas5 connects protein quality control and the general stress response through the thermo-sensitive Pyp1

description: Manuscript_Pyp1_Mas5
DOI: 10.17632/95ftczcnv7.1
title: Systemic profile of immune factors in an elderly Italian population affected by chronic strongyloidiasis

description: Background: Strongyloidiasis caused by Strongyloides stercoralis is a soil-transmitted helminthiasis affecting an estimated 370 million people and considered one of the most neglected tropical diseases. Although mostly distributed in tropical and subtropical areas, autochthonous infections have also been documented in northeastern Italy, even though the transmission presumably stopped decades ago. Because of its peculiar auto-infective cycle, strongyloidiasis can persist lifelong, but the pathophysiological mechanisms associated with the maintenance of such a chronic infection are yet to be fully deciphered. Methods: Serum levels of 23 immune factors were retrospectively assessed in a subgroup of participants in a randomised clinical trial for the treatment of strongyloidiasis (Strong Treat). Here we included Italian subjects born between 1931 and 1964 and diagnosed with strongyloidiasis between 2013 and 2017 (Ss+, n = 32). Serum samples obtained before (BT) and 6 months (6M AT) after ivermectin treatment, as well as from age- and gender-matched uninfected controls (CTRL, n = 34) were analysed. Results: The assessed immune factors showed a general reduced concertation in Ss+ patients and a lack of association with eosinophilia. In our cohort, we did not observe the classical shift towards a type 2 immune response, since Th1 and Th2 cytokines were mostly unaltered. Instead, we observed chemokines as particularly affected by the presence of the parasite, since IL-8, CCL3, CCL4 and CCL5 were significantly reduced in concentration in Ss+ subjects compared to CTRL, suggesting that immune cell recruitment to the infection site might be dampened in these patients. This observation was further sustained by a significant increase of CCL4, CCL5 and CCL11 concentrations 6M AT. A significant raised systemic concentration of three growth factors, bFGF, PDGF-BB and IL-7 (haematopoietic growth factor) was also observed post-treatment, indicating a potential involvement in restoring tissue integrity and homeostasis following parasite elimination. Conclusions: These preliminary data suggest that, in order to survive for such a long period, S. stercoralis might suppress host responses that could otherwise result in its ejection. Our results offer novel insights in the potential mechanisms of disease tolerance that might take place during this chronic infection, including a potential T-cell hypo-responsiveness and a role for chemokines.
DOI: 10.17632/d7y72gvcx9.1
title: Supplementary Figure 1 and Supplemetary Table 1

description: Supplementary Figure 1: Flow chart of data selection from the National Cancer Database starting with the original 39,182 patients with patients with cutaneous invasive malignancies. Supplementary Table 1: The association between treatment center volume (TCV) and overall survival. TCV was modeled as a continuous variable and an exploratory sensitivity analysis determined the lowest threshold TCV associated with an OS difference. The model was adjusted for patient, tumor-specific, management, and hospital-setting characteristics.
DOI: 10.17632/rdhys9n968.1
title: De-Risking Renewable Energy Investments in Developing Countries: A Multilateral Guarantee Mechanism. Matthäus and Mehling
DOI: 10.17632/bz3z72mzr2.1
title: SRSE

description: SRSE - content
DOI: 10.17632/wv94fj59t4.2
title: Data for: Nuclear hazard and asset prices: Implications of nuclear disasters in the cross-sectional behavior of stock returns

description: Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series: 1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database) 2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database) 3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database) 4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database) 5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database) 6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News) 7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News) 8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD) 9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database) 10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database) We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks. REFERENCES: Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.
DOI: 10.17632/933w9pr2fm.1
title: Data for: Influence of elevated ozone concentration on soil N2O emission: A meta-analysis

description: Data for: Influence of elevated ozone concentration on soil N2O emission: A meta-analysis
DOI: 10.17632/s3wm2sgjjb.1
title: Database of Renewable Mini-Grid Projects for Rural Electrification

description: The existing evidence on the use of renewable mini-grids in rural electrification is rather limited and compartmentalized across different pilot projects. The dataset included here consists of detailed information on 104 rural renewable electrification projects across the globe for decision-makers who want to design evidence-based projects. The data on each mini-grid is triangulated and verified from at least two different sources. The dataset can be used to analyze the factors that influence project costs and success, among a rich list of information including the date of installation, the project ownership structure, the types and sizes of installed technologies and storage, the country of installation, the project capacity, and the presence of demand management systems.
DOI: 10.17632/r7n83753gy.1
title: A randomised controlled trial of a case management approach to encourage participation in colorectal cancer screening for people with schizophrenia in psychiatric outpatient clinics (ACCESS)

description: Study protocol and statistical analysis plan for ACCESS (in Japanese and in English)
DOI: 10.6084/m9.figshare.13181300
title: Records of commercial breeds productive traits

description: Records of commercial breeds productive traits for resequenced breeds.
DOI: 10.6084/m9.figshare.13181300.v1
title: Records of commercial breeds productive traits

description: Records of commercial breeds productive traits for resequenced breeds.
DOI: 10.25917/nvsw-0044
title: Robustness of quantitative phase analysis of X-ray diffraction data by the Rietveld method – fixed zero error
DOI: 10.4228/zalf.dk.86
title: Farmland bird monitoring in North-east Germany from 2013-2015

description: Farmland birds are used as indicator for the overall biodiversity on agricultural lands summarizing the effects over the whole food pyramide. The composition, frequency and diversity of the bird communities at 117 sample points, representative for a whole landscape have been monitored over a periode of 3 years in 2013-2015. The survey is a repication of the same survey proceed in 1999-2002. The monitoring was carried out over 5 month per year according to the stop-count-method, differntiated between two distances from the counting point.
DOI: 10.4228/zalf.dk.85
title: Farmland bird monitoring in North-east Germany from 1999-2002

description: Farmland birds are used as an indicator for the overall biodiversity on agricultural lands summarizing the effects over the whole food pyramide. The composition, frequency and diversity of the bird communities at 117 sample points, representative for a whole landscape have been monitored over a periode of 4 years in 1999-2002. The monitoring was carried out over 5 month per year according to the stop-count-method, differntiated between two distances from the counting point.
DOI: 10.21227/54xs-3n34
title: model 3

description: test
DOI: 10.21227/b9q3-4j29
title: model 3.1

description: test
DOI: 10.21227/e523-xe89
title: Model8

description: We have followed the three-step approach to tackle this challenge.Data preparation – We started with the aggregation of the energy consumption data at a daily level (originally given at a half-hourly interval). Missing values were observed in consumption and temperature metadata, which we imputed using daily level linear interpolation. Next was feature engineering which was essential to bring out the best accuracy in the model.There are mainly three features we have tried to work with:a) Average weather data – used as is (we have used avg. weather data only)b) Time-Series features created using date1. Month (1,2,3,…..12) and2. Weekday (Mon, Tue,……Sun)3. WeekofYear(1,2,…52)c) Cyclic encoding of periodic features for the month and weekday1. Month gets mapped to Month_x = sin(2*pi*month/12) and Month_y=cos(2*pi*month/12)2. Weekday gets mapped to weekday_x = sin(2*pi*weekday/6) and weekday_y=cos(2*pi*weekday /6).Post multiple iterations, we settled with the XGBoost model since it performed the best among all. We trained the model on individual meter_ID and forecasted energy consumption at a daily level. The outcome was then rolled-up, to a monthly level to get our final submission.Update- Our model was not performing well on some of the customers, we identified those customers and used moving average to forecast for next year.
DOI: 10.21227/scvd-rt09
title: model 3.2

description: test
DOI: 10.5517/ccdc.csd.cc23n5dc
title: CCDC 1955802: Experimental Crystal Structure Determination

description: Related Article: Natalia Tiessen, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2020|Chem.-Eur.J.|26|13611|doi:10.1002/chem.202000668
DOI: 10.5517/ccdc.csd.cc24q9kr
title: CCDC 1987644: Experimental Crystal Structure Determination

description: Related Article: Paul M. Fanara, Samantha N. MacMillan, David C. Lacy|2020|Organometallics|39|3628|doi:10.1021/acs.organomet.0c00327
DOI: 10.5517/ccdc.csd.cc24q9nv
title: CCDC 1987647: Experimental Crystal Structure Determination

description: Related Article: Paul M. Fanara, Samantha N. MacMillan, David C. Lacy|2020|Organometallics|39|3628|doi:10.1021/acs.organomet.0c00327
DOI: 10.5517/ccdc.csd.cc24q9pw
title: CCDC 1987648: Experimental Crystal Structure Determination

description: Related Article: Paul M. Fanara, Samantha N. MacMillan, David C. Lacy|2020|Organometallics|39|3628|doi:10.1021/acs.organomet.0c00327
DOI: 10.5517/ccdc.csd.cc24q9qx
title: CCDC 1987649: Experimental Crystal Structure Determination

description: Related Article: Paul M. Fanara, Samantha N. MacMillan, David C. Lacy|2020|Organometallics|39|3628|doi:10.1021/acs.organomet.0c00327
DOI: 10.5517/ccdc.csd.cc24q9sz
title: CCDC 1987651: Experimental Crystal Structure Determination

description: Related Article: Paul M. Fanara, Samantha N. MacMillan, David C. Lacy|2020|Organometallics|39|3628|doi:10.1021/acs.organomet.0c00327
DOI: 10.5517/ccdc.csd.cc251mql
title: CCDC 1997569: Experimental Crystal Structure Determination

description: Related Article: Valery A. Ozeryanskii, Ekaterina V. Kolupaeva, Alexander F. Pozharskii|2020|Synthesis|52|3427|doi:10.1055/s-0040-1707079
DOI: 10.5517/ccdc.csd.cc251mrm
title: CCDC 1997570: Experimental Crystal Structure Determination

description: Related Article: Valery A. Ozeryanskii, Ekaterina V. Kolupaeva, Alexander F. Pozharskii|2020|Synthesis|52|3427|doi:10.1055/s-0040-1707079
DOI: 10.5517/ccdc.csd.cc251msn
title: CCDC 1997571: Experimental Crystal Structure Determination

description: Related Article: Valery A. Ozeryanskii, Ekaterina V. Kolupaeva, Alexander F. Pozharskii|2020|Synthesis|52|3427|doi:10.1055/s-0040-1707079
DOI: 10.5517/ccdc.csd.cc251mtp
title: CCDC 1997572: Experimental Crystal Structure Determination

description: Related Article: Valery A. Ozeryanskii, Ekaterina V. Kolupaeva, Alexander F. Pozharskii|2020|Synthesis|52|3427|doi:10.1055/s-0040-1707079
DOI: 10.21227/c1r7-n626
title: model 3.3

description: test
DOI: 10.17632/syjg87h62s.1
title: Tissintite in lunar meteorites

description: This file contains backscattered electron images of tissintite in lunar meteorites, structural characterization of high-pressure minerals via Raman spectroscopy, electron backscattering diffraction, selected area electron diffraction, and compositions of tissintite and corundum.
DOI: 10.17632/t4wvpy29fz.1
title: A Parameter-free Grain Segmentation Method based on Directional Reflectance Microscopy, Wittwer et al.

description: This directory contains the data to be used as input to the LRC-MRM segmentation algorithm to reproduce results presented in our publication. Each folder contains a DRM dataset in the form of a 4D matrix, a matrix of Euler angles and a reference segmentation.
DOI: 10.17632/v47hfh4dz2.2
title: Ozone membrane contactors for water and wastewater treatment: A critical review on materials selection, mass transfer and process design - SI

description: The dataset contains mass transfer coefficients and related operating conditions of ozone membrane contacting experiments, where ozone is delivered to pure water.
DOI: 10.17632/pkb7fnn7kc.1
title: Carbon fiber of Torayca T 300 3K brand (Japan) the thermal treatment of the filaments

description: Carbon fiber of Torayca T 300 3K brand (Japan) the thermal treatment of the filaments
DOI: 10.17632/vjv8szmms6.1
title: Carbon fiber before the thermal treatment of the filaments

description: Carbon fiber of Torayca T 300 3K brand (Japan) before the thermal treatment of the filaments.
DOI: 10.17632/9fkghykj9t.1
title: The FT-IR spectrum of the toluene extract of carbon fibers

description: The FT-IR spectrum of the toluene extract of carbon fibers.
DOI: 10.17632/8fhx775zdf.1
title: Dataset S3

description: Data for the article: Almeida, D.; Domínguez-Pérez, D.; Matos, A.; Agüero-Chapin, G.; Osório, H.; Vasconcelos, V.; Campos, A.; Antunes, A. Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database. Antibiotics 2020, 9, 757. https://doi.org/10.3390/antibiotics9110757 Raw files from LC-MS/MS corresponding to the biological replicate Ov3_PSG using FASP protocol. Ov3 – Octopus vulgaris biological replicate number 3. PSG – posterior salivary glands. FASP – Filter-Aided Sample Preparation.
DOI: 10.21227/1xx4-cq55
title: DATASET for "Stroke Classification in Electromagnetic Imaging Using Graph Approaches"

description: The proposed signals are used for electromagnetic-based strokeclassification. Sixrealistic head phantom computedfrom MRI scans, is surrounded by an antenna array of16 dipole antennas distributed uniformly around the head. These antennas are deployed in a fixed circulararray around the head, at a distance of approximately 2-3 mmfrom the head. A Gaussian pulse covering the bandwidthfrom 0:7 to 2 GHz is emitted from each of the antennas,sequentially, while all of the antennas capture the scatteredsignals.Since 16 antennas wereused, there are a total of 256 channel signals (i.e. 16x16) asinput signals.