cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kf858mny8b.1
title: Data for: Mechanical performance of additively manufactured lightweight cellular solids: influence of cell pattern and relative density on the printing time and compression behavior

description: A dataset for the publication:
Mechanical performance of additively manufactured lightweight cellular solids: influence of cell pattern and relative density on the printing time and compression behavior
Albert Forés-Garriga, Giovanni Gómez-Gras, Marco A. Pérez*
Materials & Design, 2022

A comprehensive investigation is presented on the Fused Filament Fabrication (FFF) technology’s possibilities to create cellular solids with a broad spectrum of specific stiffness and strength, modifying cell geometry and size, while addressing manufacturing matters such as inherent defects and built time. Thirteen typologies of two-dimensional cellular patterns with different relative densities are examined. Results have allowed conclusions to be drawn regarding the influence of cell type and infill density on mechanical performance. Intra-layer and inter-layer inherent defects identified after manufacturing highlight the importance of optimizing filament trajectories. A reliable comparison of the elastic properties of the cellular patterns as a function of their density is presented. An experimentally validated numerical model is provided for predicting the compression stiffness of the different cell patterns with an average deviation below 5%. The model can reproduce the behavior in the elastic range based on tensile specimen properties and a Normal Stiffness Factor to account for the phenomenon of elastic asymmetry of the FFF print samples. The wide range of results achieved is experimental confirmation of the potential of FFF cellular solids. Lastly, this investigation provides analytical, numerical, and empirical validated evidence to further design-for-additive manufacturing strategies with cellular solids for designing advanced lightweight structures.

This dataset contains:
- TEST Files: Compression test files and Digital Image Correlation (DIC) data in .txt files.
- STL Files: 3D models for manufacturing the samples.
- MICROSCOPY Files: Manufacturing defects inspection and thickness measurements.
- DIC PATTERN INSPECTION Files: Digital microscopy images to validate the quality and properties of DIC stochastic pattern.
DOI: 10.17632/4yvtzn7hg6.1
title: Cancer depends on fatty acid for ATP production: Possible link between cancer and obesity

description: Figure 4. New concept for cancer energy metabolism with FAO. (A) Glucose free condition do not change ATP level in cancer cell. Glucose free DMEM is containing 10% FBS, 1% penicillin/streptomycin and 1 mM sodium pyruvate. X axis denotes A as basal respiration and B as ATP production. Y axis denotes OCR (oxygen consumption rate) as pmol/min/cells.
(B) FAO inhibition by blocking long-chain 3-ketoacyl-CoA thiolase using trimetazidine reduces ATP production in cancer cell. Axes of X and Y denote the same as above. 

Supplementary Figure 1. Oxygen consumption rate (OCR) of cancer cells were performed  using the Seahorse XFe96 Analyzer. (A) OCR in response to normal medium or glucose free medium was measured by the Seahorse XFe96 analyzer. (B) OCR in response to using 5mM trimetazidine as a FAO inhibitor.
DOI: 10.17632/8fsgnp7799.1
title: COLORIMETRIC CHROMOPHORIC RAPID DETECTION OF SARS-COV-2 THROUGH BREATH ANALYSIS  

description: Output files for submitted original research article titled COLORIMETRIC CHROMOPHORIC RAPID DETECTION OF SARS-COV-2 THROUGH BREATH ANALYSIS
DOI: 10.17632/8fsgnp7799.2
title: COLORIMETRIC CHROMOPHORIC RAPID DETECTION OF SARS-COV-2 THROUGH BREATH ANALYSIS (QM)

description: Output files for submitted original research article titled COLORIMETRIC CHROMOPHORIC RAPID DETECTION OF SARS-COV-2 THROUGH BREATH ANALYSIS
DOI: 10.17632/6pyjjwmngd.1
title: Amelioration Effects of Neonatal Dairy Calf Gut Microbiota-derived Gallic acid on Intestinal Homeostasis and Colitis induced by Diarrheagenic Escherichia coli Infection

description: Metabolomics preprocessed data, the data set is related to figure 2, Extended Data figure S3.
DOI: 10.17632/xjxj7krpn3.1
title: RiCo STARTING GRANT UNICT 2020 - Biographical interviews Italian

description: This data are part of the research  to "RiCo -Remaining cosmopolitan. Practices of cosmopolitan solidarity and identity conflicts. A study of volunteers for development between Africa and Italy" Funded by University of Catania AY 2020-2021. The PDFs are biographical interviews administered to International Volunteers for development from Italy. The analytical model and analysis are forthcoming.
DOI: 10.5281/zenodo.7042125
title: LPL1 - August 2022

description: Measurements of LPL1 (Teide NP) in August 2022 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7042124
title: LPL1 - August 2022

description: Measurements of LPL1 (Teide NP) in August 2022 Tenerife Light Pollution Laboratorie info
DOI: 10.6084/m9.figshare.20780038
title: Banco de Dados - artigo 1.xlsx

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.6084/m9.figshare.20780038.v1
title: Banco de Dados - artigo 1.xlsx

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.5517/ccdc.csd.cc2cykrn
title: CCDC 2203162: Experimental Crystal Structure Determination

description: Related Article: Hao Yang, Juan Du, Chun-Li Wang, Shu-Zhong Zhan|2021|J.Coord.Chem.|74|2274|doi:10.1080/00958972.2021.1943742
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20764696
title: Shale Images

description: The file contains the LR and HR images, which are generated by FastGAN and training images of CycleGAN.
DOI: 10.6084/m9.figshare.20764696.v1
title: Untitled Item

description: The file contains the LR and HR images, which are generated by FastGAN and training images of CycleGAN.
DOI: 10.6084/m9.figshare.20780071
title: SPRIN JABATAN SESPRODI EKONOMI PERTAHANAN FMP UNHAN RI LUKMAN YUDHO P

description: SPRIN JABATAN SESPRODI EKONOMI PERTAHANAN FMP UNHAN RI LUKMAN YUDHO P
DOI: 10.6084/m9.figshare.20780071.v2
title: SPRIN JABATAN SESPRODI EKONOMI PERTAHANAN FMP UNHAN RI LUKMAN YUDHO P

description: SPRIN JABATAN SESPRODI EKONOMI PERTAHANAN FMP UNHAN RI LUKMAN YUDHO P
DOI: 10.6084/m9.figshare.20780071.v1
title: NIRA Lukman Yudho.pdf

description: Sertfikat NIRA acesor BKD
DOI: 10.6084/m9.figshare.20780308
title: SPRIN-JABATAN-SESPRODI-EKONOMI-PERTAHANAN-FMP-UNHAN-RI-LUKMAN-YUDHO-P

description: Sprinlak Jab. LYP Sesprodi EP.pdf
DOI: 10.6084/m9.figshare.20780308.v1
title: SPRIN-JABATAN-SESPRODI-EKONOMI-PERTAHANAN-FMP-UNHAN-RI-LUKMAN-YUDHO-P

description: Sprinlak Jab. LYP Sesprodi EP.pdf
DOI: 10.5281/zenodo.6716721
title: Chromatin accessibility data for the CRISPRai prediction algorithm implemented in crisprScore

description: Chromatin accessibility data for the CRISPRai prediction algorithm implemented in crisprScore; see https://github.com/crisprVerse/crisprScore for more detail.
description: {"references": ["Hoberecht L, Perampalam P, Lun A, Fortin JP. A comprehensive Bioconductor ecosystem for the design of CRISPR guide RNAs across nucleases and technologies. bioRxiv. 2022 Jan 1."]}
DOI: 10.5281/zenodo.6716720
title: Chromatin accessibility data for the CRISPRai prediction algorithm implemented in crisprScore

description: Chromatin accessibility data for the CRISPRai prediction algorithm implemented in crisprScore; see https://github.com/crisprVerse/crisprScore for more detail.
description: {"references": ["Hoberecht L, Perampalam P, Lun A, Fortin JP. A comprehensive Bioconductor ecosystem for the design of CRISPR guide RNAs across nucleases and technologies. bioRxiv. 2022 Jan 1."]}
DOI: 10.6084/m9.figshare.20780365
title: Lukman-Yudho-Prakoso-kep-286-II-2020-skep-Jabatan-Kapusbangdik-Lpppm-Unhan

description: Lukman-Yudho-Prakoso-kep-286-II-2020-skep-Jabatan-Kapusbangdik-Lpppm-Unhan
DOI: 10.6084/m9.figshare.20780365.v1
title: Lukman-Yudho-Prakoso-kep-286-II-2020-skep-Jabatan-Kapusbangdik-Lpppm-Unhan

description: Lukman-Yudho-Prakoso-kep-286-II-2020-skep-Jabatan-Kapusbangdik-Lpppm-Unhan
DOI: 10.6084/m9.figshare.19728862
title: Genome sequencing of edible green alga <i>Ulva prolifera</i> originated from Yoshinogawa river in Japan

description: An additional dataset for a research paper "Genome Sequence of the Edible Green Alga <em>Ulva prolifera</em>, Originating from the Yoshinogawa River in Japan"
DOI: 10.6084/m9.figshare.20780344
title: larry_invitro_adata_sub_raw.h5ad

description: These three datasets are the filtered single-cell LARRY dataset for studying cell fate in Hematopoiesis. Each dataset contains the three modality of information. Users could load them into adata using scanpy. Clone information can be accessed by adata.obsm['X_clone'], unspliced and spliced read count tables can be accessed by adata.layers['unspliced'], adata.layers['spliced']. The goal of these datasets is to provide gold standard metrics to benchmark lineage trajectory tools such as RNA Velocity.
DOI: 10.6084/m9.figshare.20780248
title: Source data files for "Topological Current Divider in a Chern Insulator Junction"

description: Source data files for the paper titled "Topological Current Divider in a Chern Insulator Junction" by Dmitry Ovchinnikov, Jiaqi Cai, Zhong Lin, Zaiyao Fei, Zhaoyu Liu, Yong-Tao Cui, David H. Cobden, Jiun-Haw Chu, Cui-Zu Chang, Di Xiao, Jiaqiang Yan, Xiaodong Xu
DOI: 10.6084/m9.figshare.20780248.v1
title: Source data files for "Topological Current Divider in a Chern Insulator Junction"

description: Source data files for the paper titled "Topological Current Divider in a Chern Insulator Junction" by Dmitry Ovchinnikov, Jiaqi Cai, Zhong Lin, Zaiyao Fei, Zhaoyu Liu, Yong-Tao Cui, David H. Cobden, Jiun-Haw Chu, Cui-Zu Chang, Di Xiao, Jiaqiang Yan, Xiaodong Xu
DOI: 10.6084/m9.figshare.20780389
title: Test datasets for the paper "Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder-decoder model"

description: These are test datasets for the paper "Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder-decoder model". The names of the datasets are self-explanatory and can be tracked in the paper (Figures 1, 8, 10, 11, and 14).
DOI: 10.34740/kaggle/dsv/4149994
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.20777671
title: Repository mental health during pandemic

description: A cross-sectional study was conducted during the third dose SARS-CoV 2 vaccination programs in Jakarta. The Indonesian version of Generalized Anxiety Disorder-7 and the Patient Health Questionnaire-9 were used to estimate clinically significant anxiety and depression, respectively.
DOI: 10.6084/m9.figshare.20777671.v1
title: Repository mental health during pandemic

description: A cross-sectional study was conducted during the third dose SARS-CoV 2 vaccination programs in Jakarta. The Indonesian version of Generalized Anxiety Disorder-7 and the Patient Health Questionnaire-9 were used to estimate clinically significant anxiety and depression, respectively.
DOI: 10.6084/m9.figshare.20780773
title: 240822 - LUKMAN YUDHO PRAKOSO PERAN MAHASISWA MENJAGA PERSATUAN NKRI.pptx

description: https://www.scribd.com/presentation/590857538/240822-Lukman-Yudho-Prakoso-Peran-Mahasiswa-Menjaga-Persatuan-Nkri
DOI: 10.6084/m9.figshare.20780773.v1
title: 240822 - LUKMAN YUDHO PRAKOSO PERAN MAHASISWA MENJAGA PERSATUAN NKRI.pptx

description: https://www.scribd.com/presentation/590857538/240822-Lukman-Yudho-Prakoso-Peran-Mahasiswa-Menjaga-Persatuan-Nkri
DOI: 10.6084/m9.figshare.20760973
title: Supplementary Figure 7

description: <strong>Supplementary Figure 7. NMR titration of unlabeled TPR2A to 15N-labelled psyn129. a. </strong>The concentration of psyn129 was kept constant at 100 µM (estimated by Lowry assay), while the concentrations of TPR2A varied from 0 µM to 200 µM (estimated by Lowry assay) in increments of 25 µM. The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of TPR2A. Protein concentrations determined by amino acid analysis were used to in fitting the KD value.
DOI: 10.6084/m9.figshare.20760832
title: Supplementary Figure 2b

description: Quantification of sonicated PFF diameter by Dynamic Light Scattering (DLS). The mean diameters for batches of PFF used in mouse injections, as quantified by DLS in three separate measurements per batch. <br> Raw readout from Malvern System. Each sheet is for one batch and gives the distribution graph for size and the associated values for each received for each readout.
DOI: 10.6084/m9.figshare.20760832.v1
title: Supplementary Figure 2b

description: Quantification of sonicated PFF diameter by Dynamic Light Scattering (DLS). The mean diameters for batches of PFF used in mouse injections, as quantified by DLS in three separate measurements per batch. <br> Raw readout from Malvern System. Each sheet is for one batch and gives the distribution graph for size and the associated values for each received for each readout.
DOI: 10.6084/m9.figshare.20760466
title: Supplementary Figure 1

description: <strong>Supplementary Figure 1: Characterization of the interactions between STI1 and α-synuclein by NMR titration. a. </strong>600 MHz 1H-15N HSQC spectrum of 100 µM α-synuclein (in 20 mM Hepes, 50 mM NaCl, pH 7.2) in the absence (black) and the presence (green) of 200 µM of STI1 TPR1 domain. <strong>b. </strong>600 MHz 1H-15N HSQC spectrum of 100 µM α-synuclein (in 20 mM Hepes, 50 mM NaCl, pH 7.2) in the absence (black) and the presence (cyan) of 200 µM of STI1 TPR2B domain. <strong>c.</strong> NMR titration of unlabeled STI1 to 15N-labeled α-synuclein. The concentration of α-synuclein was kept constant at 100 µM (estimated by Lowry assay) while the concentrations of STI1 varied from 0 µM to 200 µM in increments of 25 µM (estimated by Lowry assay). The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of STI1. Protein concentrations determined by amino acid analysis were used in fitting the KD value. <strong>d.</strong> NMR titration of unlabeled TPR2A to 15N-labelled α-synuclein. The concentration of α-synuclein was kept constant at 100 µM (estimated by Lowry assay) while the concentrations of TPR2A varied from 0 µM to 200 µM (estimated by Lowry assay) in increments of 25 µM. The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of TPR2A. Protein concentrations determined by amino acid analysis were used in fitting the KD value. <strong>e.</strong> Overlay of 1H-15N HSQC spectra of 100 µM 15N-labelled α-synuclein (black), 100 µM 15N-labelled α-synuclein + 100 µM TPR2A (red), and 100 µM 15N-labeled α-synuclein + 100 µM TPR2A + 100 µM Hsp90 pentapeptide (green).
DOI: 10.6084/m9.figshare.20760466.v1
title: Supplementary Figure 1

description: <strong>Supplementary Figure 1: Characterization of the interactions between STI1 and α-synuclein by NMR titration. a. </strong>600 MHz 1H-15N HSQC spectrum of 100 µM α-synuclein (in 20 mM Hepes, 50 mM NaCl, pH 7.2) in the absence (black) and the presence (green) of 200 µM of STI1 TPR1 domain. <strong>b. </strong>600 MHz 1H-15N HSQC spectrum of 100 µM α-synuclein (in 20 mM Hepes, 50 mM NaCl, pH 7.2) in the absence (black) and the presence (cyan) of 200 µM of STI1 TPR2B domain. <strong>c.</strong> NMR titration of unlabeled STI1 to 15N-labeled α-synuclein. The concentration of α-synuclein was kept constant at 100 µM (estimated by Lowry assay) while the concentrations of STI1 varied from 0 µM to 200 µM in increments of 25 µM (estimated by Lowry assay). The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of STI1. Protein concentrations determined by amino acid analysis were used in fitting the KD value. <strong>d.</strong> NMR titration of unlabeled TPR2A to 15N-labelled α-synuclein. The concentration of α-synuclein was kept constant at 100 µM (estimated by Lowry assay) while the concentrations of TPR2A varied from 0 µM to 200 µM (estimated by Lowry assay) in increments of 25 µM. The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of TPR2A. Protein concentrations determined by amino acid analysis were used in fitting the KD value. <strong>e.</strong> Overlay of 1H-15N HSQC spectra of 100 µM 15N-labelled α-synuclein (black), 100 µM 15N-labelled α-synuclein + 100 µM TPR2A (red), and 100 µM 15N-labeled α-synuclein + 100 µM TPR2A + 100 µM Hsp90 pentapeptide (green).
DOI: 10.6084/m9.figshare.20780926
title: KEP 238 Tambah Gelar M.Tr.Opsla, Ir, IPU an Kol Lukman Yudho.pdf

description: https://www.scribd.com/document/590861323/KEP-238-Tambah-Gelar-M-tr-Opsla-Ir-IPU-an-Kol-Lukman-Yudho
DOI: 10.6084/m9.figshare.20780926.v1
title: KEP 238 Tambah Gelar M.Tr.Opsla, Ir, IPU an Kol Lukman Yudho.pdf

description: https://www.scribd.com/document/590861323/KEP-238-Tambah-Gelar-M-tr-Opsla-Ir-IPU-an-Kol-Lukman-Yudho