cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27f3h9
title: CCDC 2068180: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc27f3jb
title: CCDC 2068181: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc27f3kc
title: CCDC 2068182: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc27f3ld
title: CCDC 2068183: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc27f3mf
title: CCDC 2068184: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc27f3ng
title: CCDC 2068185: Experimental Crystal Structure Determination

description: Related Article: Natalia Szynkiewicz, Jarosaw Chojnacki, Rafa Grubba|2022|Inorg.Chem.|61|9523|doi:10.1021/acs.inorgchem.2c00589
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: 10.5517/ccdc.csd.cc29yktn
title: CCDC 2143582: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Tie Zhang, Chang-Yuan Su, Jie Li, Zhi-Xu Zhang, Da-Wei Fu, Hai-Feng Lu|2022|Mater. Chem. Front.|6|1929|doi:10.1039/D2QM00319H
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: 10.5517/ccdc.csd.cc29ykvp
title: CCDC 2143583: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Tie Zhang, Chang-Yuan Su, Jie Li, Zhi-Xu Zhang, Da-Wei Fu, Hai-Feng Lu|2022|Mater. Chem. Front.|6|1929|doi:10.1039/D2QM00319H
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: 10.5517/ccdc.csd.cc29ykwq
title: CCDC 2143584: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Tie Zhang, Chang-Yuan Su, Jie Li, Zhi-Xu Zhang, Da-Wei Fu, Hai-Feng Lu|2022|Mater. Chem. Front.|6|1929|doi:10.1039/D2QM00319H
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: 10.5517/ccdc.csd.cc2bsnld
title: CCDC 2168654: Experimental Crystal Structure Determination

description: Related Article: Janusz Gregoliński, Katarzyna Ślepokura, Julia Kłak, Maciej Witwicki|2022|Dalton Trans.|51|9735|doi:10.1039/D2DT01329K
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: 10.5281/zenodo.6653162
title: Mechanical Intelligence: Method Comparison Electrosensing and RGB Camera Examples Data

description: Method Comparison Datasets for "Mechanical Intelligence for Learning Embodied Sensor-Object Relationships" published in Nature Communications [1]. This contains the datasets for method comparisons of ergodic sampling (our approach) and random sampling for the Electrosensory and RGB Camera examples in the paper. [1] Prabhakar, A., Murphey, T. Mechanical intelligence for learning embodied sensor-object relationships. <em>Nat Commun</em> 13, 4108 (2022). https://doi.org/10.1038/s41467-022-31795-2 .
DOI: 10.5281/zenodo.6653161
title: Mechanical Intelligence: Method Comparison Electrosensing and RGB Camera Examples Data

description: Method Comparison Datasets for "Mechanical Intelligence for Learning Embodied Sensor-Object Relationships" published in Nature Communications [1]. This contains the datasets for method comparisons of ergodic sampling (our approach) and random sampling for the Electrosensory and RGB Camera examples in the paper. [1] Prabhakar, A., Murphey, T. Mechanical intelligence for learning embodied sensor-object relationships. <em>Nat Commun</em> 13, 4108 (2022). https://doi.org/10.1038/s41467-022-31795-2 .
DOI: 10.17632/9v2hyb4j7n.1
title: Collagenolysis-mediated DDR1 signaling dictates pancreatic cancer outcome

description: Raw Data
DOI: 10.17632/6hymksh6yd.1
title: Fatigue failure of lithium disilicate and translucent zirconia crowns with different occlusal thickness

description: Step-stress accelerated life testing (SSALT) (36), which comprised 18 specimens distributed into three profiles: mild (n=9), moderate (n=6), and aggressive (n=3). Each profile started at 300 N and finished at 3,000 N. The mild profile was designed with 200 N load increase at each 20,000 cycles up to 320,000 cycles; the moderate profile was designed with a 250 N load increase each 15,000 cycles up to 195,000 cycles; the aggressive profile had 300 N load increase at each 10,000 cycles up to 110,000 cycles. The data were analyzed using an underlying life distribution to describe the life data collected at different stress levels and a life-stress relationship to quantify how life distribution changed across different stress levels(36)(37). Thus, the Weibull Distribution was chosen to fit the life data collected in SSALT. Considering the time-varying stress model of SSALT, the inverse power law relationship was selected to extrapolate a use level condition considering the cumulative effect of the applied stresses, commonly referred as the cumulative damage model. From the extrapolated use level condition, a variety of functions could be derived. Hence, the use level probability Weibull curves (probability of failure versus number of cycles) with a set load of 300 N at 90% two-sided confidence interval were calculated and plotted (CI: 90%) (Synthesis 9, Alta Pro, Reliasoft, Tucson, AZ, USA).The reliability was calculated for completion of a mission of 100,000 cycles at 300, 600, 900, and 1200 N and the differences between groups were identified based on the non-overlap of the CI. Parameters estimation for all analyses was calculated via maximum likelihood estimate (MLE) method, and 90% two-sided confidence interval (90% CI) was approximated using the Fisher matrix approach..
DOI: 10.17632/bdng756rgw.1
title: FLAAP: An open Human Activity Recognition (HAR) dataset for learning and finding the associated activity patterns 

description: The purpose of this research is to propose a dataset for Human Activity Recognition (HAR) utilizing smartphone sensors. The dataset consists of 10 activities that were completed throughout three trials by eight different people. After examining the results of each experiment, the dataset only contains one of the optimal activity patterns. For intelligent learning algorithms to detect and understand the related activity patterns, this time-series data collected from smartphone-embedded (accelerometer and gyroscope) sensors provided valuable information. With the growing need for context-aware apps relating to people depending on their activities such as sports, health care, surveillance, yoga, the gym, and many more. The creation of solutions for these kinds of problems depends on the availability of such data. To collect data while doing the human activities indicated in this article, we give a HAR dataset of measurements taken from smartphone sensors targeted at the subject's body. Millions of raw sensor activity data samples were continuously collected between February 1st and May 31st of 2022 at sampling speeds of 100 Hz. The performance evaluation of various machine and deep learning algorithms for the learning and identification of activity patterns might benefit from this dataset. The performance of the learning algorithms while using various data preprocessing methods, knowledge transfer to target domains, and other methods may be of special interest to the research community. Such learning algorithms may also be used with HAR data that has been gathered over a long period. This makes it possible to determine activity patterns for a certain period. After that, after a predetermined period, we can detect changes. For patients with dementia, the physically challenged, the elderly, and youngsters who care for others, among others, this can assist in recognizing abnormalities and delivering early therapies.
DOI: 10.6084/m9.figshare.20286222
title: Supplementary material for "Native Languages of the Democratic Republic of Congo" by Helena Lopez Palma, published in BHL 3 - HLPA 1 (2022)

description: These are the supplementary materials for an article published in Brill’s Handbooks in Linguistics 3 (subseries: Handbooks of Language Policies in Africa 1) entitled 'Native Languages of the Democratic Republic of Congo', by Helena Lopez Palma, with DOI:10.1163/9789004516724_007. <br> DRC is a multilingual country where more than 200 native languages are spoken among a population of 92,798,854 inhabitants. Language variety strongly evidences the genetic force of the human language faculty for creating symbolic systems. Congolese native languages spoken by local communities are unique and precious coding systems that constitute an important asset of the heritage of the DRC. Today’s science and technology focuses on developing cutting-edge Artificial Intelligence technology. In that aspect, the rich language variety of drc is of great advantage, since much of ai Technology is applied to natural language data. Moreover, many Congolese people have become by now highly educated scientists who could lead digital innovative groups which would take care of preserving their valuable native languages. So it is a great historical moment for transforming Congolese linguistic data into industries that would return progress and social welfare to the people. We review some outstand- ing linguistic properties of 3 bantu languages (Cilubà, Lɔmɔ́ngɔ, Nzadi), and asses the depth of knowledge and expertise of their mother tongues by the Congolese population and the use of these indigenous languages in education. We then consider the adequacy of Education Plans to boosting, promoting and preserving the unique multilingual wealth of DRC. <br>
DOI: 10.6084/m9.figshare.20286222.v1
title: Supplementary material for "Native Languages of the Democratic Republic of Congo" by Helena Lopez Palma, published in BHL 3 - HLPA 1 (2022)

description: These are the supplementary materials for an article published in Brill’s Handbooks in Linguistics 3 (subseries: Handbooks of Language Policies in Africa 1) entitled 'Native Languages of the Democratic Republic of Congo', by Helena Lopez Palma, with DOI:10.1163/9789004516724_007. <br> DRC is a multilingual country where more than 200 native languages are spoken among a population of 92,798,854 inhabitants. Language variety strongly evidences the genetic force of the human language faculty for creating symbolic systems. Congolese native languages spoken by local communities are unique and precious coding systems that constitute an important asset of the heritage of the DRC. Today’s science and technology focuses on developing cutting-edge Artificial Intelligence technology. In that aspect, the rich language variety of drc is of great advantage, since much of ai Technology is applied to natural language data. Moreover, many Congolese people have become by now highly educated scientists who could lead digital innovative groups which would take care of preserving their valuable native languages. So it is a great historical moment for transforming Congolese linguistic data into industries that would return progress and social welfare to the people. We review some outstand- ing linguistic properties of 3 bantu languages (Cilubà, Lɔmɔ́ngɔ, Nzadi), and asses the depth of knowledge and expertise of their mother tongues by the Congolese population and the use of these indigenous languages in education. We then consider the adequacy of Education Plans to boosting, promoting and preserving the unique multilingual wealth of DRC. <br>
DOI: 10.17632/d7f2rgxjdb.1
title: Fused filament fabrication of Thermoplastic vulcanizates based on PP/EPDM

description: Data produced for the publication Fused filament fabrication of Thermoplastic vulcanizates based on PP/EPDM
Authors: J. R. Innes, B. Shriky, D. Nocita, G. Thompson, P. Coates, B. Whiteside, A. Kelly, M. Hebda
DOI: 10.17632/gvbv4d4pjk.1
title: NGS data for gene expression profiling in HUVEC transfected with FLRT2 siRNA

description: HUVEC were transfected with Con or FLRT2 Si. 48 hr after the transfection, the cells were analyzed gene expression profiles using Next Generation Sequencing (NGS).
DOI: 10.17632/42bv6c3g4b.1
title: Outcomes and Rate of Recurrence For Sclerosing Techniques In Venous Leg Ulcers: A Evidence-based Review

description: Venous Leg Ulcers (VLU) account for the vast majority of leg ulcers. VLU may have large impacts on a patient’s quality of life. Sclerotherapy has been reported to be an effective therapy VLU with high success and low ulcer recurrence. The aim of this review is to summarize relevant studies reporting on the outcomes of sclerotherapy for VLU along with recurrence rates following treatments.
DOI: 10.6084/m9.figshare.19229229
title: Mitochondrial oxidation of TCA cycle intermediates, fatty acids, amino acids and other substrates in lymphoblasts from ALS patients with mutant SOD1 (mutSOD1) or unknown mutation (undSOD1) and respective controls.

description: Cells were plated at density 160,000 cells/well, and the rate of oxidation of a panel of TCA cycle intermediates, fatty acids, amino acids and other substrates was assessed using Biolog Mitoplate S1 assay. Data were obtained for all cohorts (pool), C1-Female 46 years old, C2- Male 46 years old and C3-Male 26/27 years old. Substrates include pyruvic acid, pyruvic acid + malic acid, citric acid, cis-aconitic acid, isocitric acid, α-ketoglutaric acid, succinic acid, fumaric acid, L-malic acid, L-glutamic acid, L-glutamine and alanine-glutamine, octanoyl L-carnitine (+L-malic acid), palmitoyl L-carnitine (+L-malic acid), D-glucose, D-glucose-1-PO4, D-glucose-6-PO4, D-gluconate-6-PO4, L-lactic acid, D-L-α-glycerol-PO4, glycogen, D-L-β-hydroxybutyric acid, α-ketobutyric acid, γ-aminobutyric acid (+L-Malic acid), tryptamine, serine, L-ornithine, and L-leucine (+L-malic acid).
DOI: 10.17632/7ts8g293yd.1
title: Factors Affecting Plantar Pressure Redistribution Adherence in Patients With Diabetic Neurotrophic Foot Ulcers: A Scoping Review

description: Plantar pressure redistribution (PPR) is a technique used to reduce the pressure on specific areas of the foot to prevent pressure injuries or promote the healing of soft and bony tissues. The aim of this scoping review is to explore the types of published evidence available on factors affecting PPR adherence in patients with diabetic neurotrophic foot ulcers.
DOI: 10.6084/m9.figshare.19229229.v1
title: Mitochondrial oxidation of TCA cycle intermediates, fatty acids, amino acids and other substrates in lymphoblasts from ALS patients with mutant SOD1 (mutSOD1) or unknown mutation (undSOD1) and respective controls.

description: Cells were plated at density 160,000 cells/well, and the rate of oxidation of a panel of TCA cycle intermediates, fatty acids, amino acids and other substrates was assessed using Biolog Mitoplate S1 assay. Data were obtained for all cohorts (pool), C1-Female 46 years old, C2- Male 46 years old and C3-Male 26/27 years old. Substrates include pyruvic acid, pyruvic acid + malic acid, citric acid, cis-aconitic acid, isocitric acid, α-ketoglutaric acid, succinic acid, fumaric acid, L-malic acid, L-glutamic acid, L-glutamine and alanine-glutamine, octanoyl L-carnitine (+L-malic acid), palmitoyl L-carnitine (+L-malic acid), D-glucose, D-glucose-1-PO4, D-glucose-6-PO4, D-gluconate-6-PO4, L-lactic acid, D-L-α-glycerol-PO4, glycogen, D-L-β-hydroxybutyric acid, α-ketobutyric acid, γ-aminobutyric acid (+L-Malic acid), tryptamine, serine, L-ornithine, and L-leucine (+L-malic acid).
DOI: 10.17632/t5cxs64gys.1
title: Revista TZHOECOEN

description: TZHOECOEN es un vocablo que, en la antigua lengua mochica de la región Lambayeque, significa “MENSAJERO” entendido como el portador de la voluntad de los dioses y su saber, equivalente al Hermes griego; asumiéndose el significado desde una comprensión holística de la complejidad del conocimiento que conduce a la humanidad hacia mejores destinos.
La revista comenzó su publicación en versión impresa con código ISSN 1997-3985 y desde el primer semestre del 2013 comienza a publicarse en versión electrónica con código ISSN 1997-8731. Entre sus directores y editores en el tiempo se encuentran los profesionales sipanenses doctores Norma Gálvez, Patricia Chávarry y Roger Chanduví. Actualmente se encuentra registrada en Latindex catálogo 2.0, LatinREV, EuroPub, REDIB, ROAD, ERIHPLUS, DOAJ, DRJI.
DOI: 10.17632/b8fzcjkwny.1
title: Experimental Data of Fracture Properties (FR-CPB)

description: The raw experimental datasets are associated with the study on the effect of fiber length and fiber content on the fracture properties including fracture toughness, material stiffness, fracture initiation energy, and fracture match energy of fiber reinforced commented paste backfill (FR-CPB).
DOI: 10.17632/snyyh8bs3s.1
title: A soil micromorphology and X-ray diffraction dataset of Late Quaternary cave sediments from northeast Brazil.

description: The dataset contains 49 soil micrographs in plane-polarized light (PPL) and 36 soil micrographs in cross-polarized light (XPL). All imagens are stored into 10 folders. The folder title means the layers of the thin section were collected. The file title flowing the general principle: the layer number comes first, then, number of the image, and finally, type of light (PPL or XPL).

The micromorphological features of the cave sediments reflect the variability of soil bioturbation and bioclasts, roots channels, oxireduction conditions, and dripping water action. The relict soil microstructure varied to microgranular structure in the layers that have secondary calcium carbonate related to dripping water to massive microstructure in the lowermost thins sections. The shape and size of the orthic and anorthic nodules, quartz grains, clay coatings, voids, bones, microstructure features, etc. can be quantitatively analyzed in any image software. This dataset contains relict soil features, such as microgranular structure, runiquartz1, and iron nodules, which are features usually found in Ferralsols2.These features are present only in the layers that have speleothems, suggesting a relationship of wetter climate with speleothem deposition and Ferrasol genesis.

The dataset includes 19 raw powder XRD scans. All diffractograms are stored in one XLS file organized into 2 spreadsheets. The first contains the sample ID and depth of the sampling in the trench profile. The second spreadsheet contain 19 XRD raw data. The mineralogical assemblage of primary minerals is similar across the sediment column but differs significantly by the gibbsite and kaolinite proportion. Gibbsite is absent in the lowermost layers, but peaks are strong in the upper layers, coinciding with speleothem layers and decreasing kaolinite peaks.
DOI: 10.17632/bhr63fh9rr.1
title: SM Combination of growth conditions and InlB 

description: Supplemental files Combination of growth conditions and InlB
DOI: 10.17632/7ry5c3h59f.1
title: DPA

description: Test rig for flow resistance in thick layers of medicinal and aromatic plant
DOI: 10.17632/2jj66ns5hm.1
title: COVID-19 Pandemic effects

description: Its a repository of various articles published in the literature regarding the covid-19 pandemic.