cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hrrgnktbrg
title: Data for: A proxy for all seasons? A synthesis of clumped isotope data from Holocene soil carbonates

description: Stable isotope and environmental data for Holocene soil carbonates
DOI: 10.17632/pxvdm26rn7
title: Nigeria National Electricity Demand Timeseries [2016]

description: To allow for a proper assessment of the reliability contribution of renewables on any grid, it is imperative that the electricity demand is reflective of actual consumption. Historical national demand time series profiles are not publicly available from Nigeria’s transmission system operator; therefore, a long-term demand profile had to be developed. Using hourly demand timeseries of 5 Nigerian utilities, with an aggregate regulated offtake requirement of 53.5% of total grid generation, we have reconstructed a timeseries demand "suppressed" for the entire Nigerian grid. This analysis was performed for a five-year period and validated against annual energy consumption data from the multi-year tariff order (MYTO) financial model used by the Nigerian Electricity Regulatory Commission (NERC). Validation results yield an average error margin of 5.8%, while the peak demand for period is 4.8GW. 
To establish the hourly national unsuppressed demand profile, the unsuppressed demand profile for each utility is first generated, and then the national profile is estimated based on an historical network-wide stress test. Due to significant load shedding events, the measured timeseries demand data of utilities typically are populated with blanks. Therefore, a suitable method is required to estimate the demand that would have otherwise occurred if there were no outage events. A structural model developed to reconstruct unsuppressed demand data based on the historical observations of suppressed demand on the feeder is applied to the utility demand data. The reconstructed demand timeseries leverages data either side of a load shedding event to fill in a likely value resulting in better estimates of demand at times of the day when a feeder is often disconnected. It is then possible to aggregate the reconstructed timeseries profiles to determine the unsuppressed grid connected demand. The peak unsuppressed demand for the period is 8.0GW, with an average unmet energy demand of 51.5% (26.7TWh). The 2016 timeseries data provided here is for research purposes only.
DOI: 10.17632/yb9xvc98wy
title: Glioblastoma

description: A hierarchical machine learning model based on Glioblastoma Patients' clinical,
biomedical, and image data to analyze their treatment plans
DOI: 10.6084/m9.figshare.12051522.v1
title: Tiered intake assessment for food colours

description: A tiered intake assessment approach, ranging from the conservative default and refined budget method to refined dietary exposure assessments using national food consumption surveys is presented and applied to derive maximum potential global colour intake estimates. The US and UK markets served as representative for the world and the EU, respectively, to determine the maximum potential exposure ceilings for eleven colours in various sub-populations, including brand-loyal consumers. Industry-reported global use levels were assigned as the maximum level. Conservative intake assessments for food colours used in non-alcoholic beverages were estimated for the general population 2 + y, toddlers, children 3–9 y, adolescents 10–17 y, adults 18–64 y, elderly 65–74 y, very elderly 75 + y based on assumed uses in high intake markets. Refined dietary exposures were estimated using either the 2-day food consumption data from the 2013–2016 US National Health and Nutrition Examination Survey or the 4-day food consumption data from the 2008–2016 U.K. National Diet and Nutrition Survey Rolling Programme. In the most refined market-share adjusted assessment, brand-specific market volume data were used to place appropriate weight on corresponding beverage type uses. Strong concordance between the refined budget method and the brand-loyal deterministic approach was shown, in which the latter assumes that the maximum use level of the colour is present in 100% of non-alcoholic beverages. This study shows that safety of colours – both synthetic and natural – in beverages at proposed use levels can be supported for any geography, with all intake estimates falling below the acceptable daily intake in refined assessments. Importantly, this study demonstrates that the refined budget method is a valid first-tier screening assessment to prioritise food colours that may benefit from more refined intake assessments when warranted.
DOI: 10.6084/m9.figshare.25707177.v3
title: The Effect of Trade Misinvoicing on Shadow Economy Estimates. A CDA and MIMIC analysis. Senior Project. Data and Code

description: The dataset and R code to compute the trade misinvoicing statistics
DOI: 10.17632/9t2s2vv343
title: H2 photo-absorption cross section dataset

description: This dataset contains the high-resolution H2 photo-absorption cross section of that is used in Chadney et al. (2021). The cross-section is composed from the following sources:
  - 0.1 - 80.4 nm: Backx et al. (1976) measurements,
  - 80.4 - 84.6 nm: Dalgarno and Allison (1969) + Yelle et al. (1993) calculations at 250K,
  - 84.6 - 120 nm: Yelle et al. (1993) calculations at 250K.

For more information on this dataset, see Chadney et al. (2021).

References:
Backx, C., Wight, G.R., der Wiel, M.J.V., 1976. Oscillator strengths (10-70 eV) for absorption, ionization and dissociation in H2, HD and D2, obtained by an electron-ion coincidence method. Journal of Physics B: Atomic and Molecular Physics 9, 315–331.

Chadney, J.M., Koskinen, T. T., Hu, X., Galand, M., Lavvas, P., Unruh, Y. C., Serigano, J., Hörst, S. M, Yelle, R. V., 2021, Energy deposition in Saturn’s equatorial upper atmosphere, Icarus, accepted.

Dalgarno, A., Allison, A.C., 1969. Photodissociation of molecular hydrogen on Venus. Journal of Geophysical Research 74, 4178–4180.

Yelle, R., Herbert, F., Sandel, B., Vervack, R., Wentzel, T., 1993. The Distribution Hydrocarbons in Neptune’s Upper Atmosphere. Icarus 104, 38–59.
DOI: 10.17632/j6n8svffyr
title: A dataset of assessment for understanding and awareness of renewable energy among Indonesian students

description: The awareness factor in the use of renewable energy is one of the biggest obstacles in Indonesia. Therefore, this research evaluated the awareness level of renewable energy as well as compared and determined its relationship with gender and educational level. Data were collected through a questionnaire-based survey and analyzed using non-parametric test methods with a quantitative descriptive approach. The results showed that the average awareness level among vocational high school (SMK) students is in the moderate category with a score of 57.50. On the other hand, the average awareness level among students of engineering faculty (FT) and vocational engineering education (PTK) falls into the high category, with an average score of 75.25. This means that there is a significant difference between educational groups. Meanwhile, this research also showed no significant difference between males and females. The results offer valuable insights and recommendations concerning the awareness level of the younger generation in Indonesia regarding renewable energy.
DOI: 10.6084/m9.figshare.19299551.v1
title: all_deconvolutions_all_TCGA.txt

description: Deconvolution of TCGA datasets performed by the GEMDeCan pipeline
DOI: 10.17632/53pp5h65p6
title: New Manuscript 2

description: New Manuscript 2 data
DOI: 10.17632/v8mnw4pncp
title: Suture-Mediated Percutaneous Patent Foramen Ovale Closure: A Systematic Transesophageal Echocardiography Study

description: The present study was conducted to evaluate the efficacy and safety of suture-mediated Percutaneous patent foramen ovale (PFO) closure by transoesophageal echocardiography (TEE), which has been shown to have higher sensitivity than TTE for detection of residual shunt and characterisation of device-related complications.

doi: 10.4244/EIJ-D-21-00242.
DOI: 10.6084/m9.figshare.17708369.v1
title: Character matrix for Cokotherium from A new mammal from the Lower Cretaceous Jehol Biota and implications for eutherian evolution

description: Here we report on a new Early Cretaceous eutherian represented by a partial skeleton from the Jiufotang Formation at Sihedang site, Lingyuan City, Liaoning Province that fills a crucial gap between the earliest eutherians from the Yixian Formation and later Cretaceous eutherians. The new specimen reveals, for the first time in eutherians, that the Meckelian cartilage was ossified but reduced in size, confirming a complete detachment of the middle ear from the lower jaw. Seven hyoid elements, including paired stylohyals, epihyals and thyrohyals and the single basihyal are preserved. For the inner ear the ossified primary lamina, base of the secondary lamina, ossified cochlear ganglion and secondary crus commune are present and the cochlear canal is coiled through 360<sup>°</sup>. In addition, plesiomorphic features of the dentition include weak conules, lack of pre- and post-cingula and less expanded protocones on the upper molars and height differential between the trigonid and talonid, a large protoconid and a small paraconid on the lower molars. <i>Cokotherium</i> displays an alternating pattern of tooth replacement with P3 being the last upper premolar to erupt similar to the basal eutherian <i>Juramaia</i>. Parsimony analysis places <i>Cokotherium</i> with <i>Montanalestes</i>, <i>Sinodelphys</i> and <i>Ambolestes</i> as a sister group to other eutherians.This article is part of the theme issue ‘How Chinese fossils and palaeontological research impact our understanding of major evolutionary transitions’.
DOI: 10.6084/m9.figshare.25796617.v1
title: Data for analysis for the manuscript The unexpected influence of legacy conspecific density dependence

description: When plants die, neighbours escape competition. Living conspecifics could disproportionately benefit because they are freed from negative intraspecific processes; however, if negative effects of past conspecific neighbours persist, other species might be advantaged, and diversity maintained through legacy effects. We examined legacy effects in a mapped forest by modelling the survival of 37,212 trees of 23 species using four neighbourhood properties: living conspecific, living heterospecific, legacy conspecific (dead conspecifics), and legacy heterospecific densities. Legacy conspecific effects proved nearly four times stronger than living conspecific effects; changes in annual survival associated with legacy conspecific density were 1.5% greater than living conspecific effects. Over 90% of species were negatively impacted by legacy conspecific density compared to 47% by living conspecific density. Our results emphasize that legacies of trees alter community dynamics, revealing a significant oversight in prior research, which may have underestimated the strength of density dependence by not considering legacy effects.
DOI: 10.17632/hthwb4nh83
title: DATA

description: Young's modulus, yield strength, and ultimate tensile strength processed data
DOI: 10.6084/m9.figshare.28616207.v2
title: IDWE_CHM (NRT)

description: A near-real-time (NRT) extension of the IDWE_CHM dataset with ongoing daily updates beyond 2023. This NRT product continues to apply the IDWE framework on incoming data, thereby extending the record in near real-time. Users can obtain timely precipitation estimates with the same ~0.1° resolution and methodology consistency as the historical dataset.The IDWE_CHM dataset provides <b>four precipitation variables</b>, all derived from the ensemble framework but with slightly different modeling approaches:<b>ENS_Reg</b> – A purely regression-based merged precipitation estimate. This product is generated by optimally weighting and combining the input datasets (ERA5-Land, IMERG, GSMaP, etc.) using regression, without additional classification. It serves as a baseline for the IDWE approach.<b>ENS_RegCla1</b>, <b>ENS_RegCla2</b>, <b>ENS_RegCla3</b> – Three variants of a hybrid <i>regression-plus-classification</i> approach (collectively called <b>ENS_RegCla</b>). These are produced by first applying the regression merging (as in ENS_Reg) and then using a classification step to adjust the estimates. The classification is enhanced with incremental learning, meaning the algorithm learns from errors over time. These three variants may correspond to different configurations or epochs of incremental learning, and they generally show improved skill in capturing precipitation occurrence and extremes compared to a regression-only merge.<br>
DOI: 10.17632/kg75m9ydfz
title: Data for: A second life for Li-ion cells rescued from notebook batteries

description: The first file contains the relative capacity, number of cycles, manufacturing date from the BMS of 152 notebook batteries and how many cells inside had more or equal than 70 % of capacity, related to their rated value. The second file contains many attributes of 1034 cells recovered from 152 notebook batteries, and an example to calculate their cost in $/kWh, related to the methodology presented in the paper.
DOI: 10.17632/w2nt35kssm
title: Use of Janus kinase inhibitors in patients aged ≤18 years with alopecia areata: A systematic review and meta-analysis

description: Currently, no consensus exists for managing pediatric alopecia areata (AA), but the Food and Drug Administration (FDA)-approved ritlecitinib for adolescents, along with the off-label use of other Janus kinase inhibitors (JAKis) present encouraging possibilities. However, the available data are limited. In this study, we systematically reviewed treatment outcomes and adverse effects of JAKis in pediatric AA patients, involving 283 patients aged 1.1 to 18 years from at least 10 countries. Despite limitations including small sample sizes and possible recall bias, our findings demonstrate that JAKis are useful and well tolerated for AA in young patients (≤18 years), though relapse remains a concern. Notably, we found that the highest risk was lipid metabolism abnormalities, while adverse events were mild.Since FDA has warned about increased risks of cardiovascular events associated with JAKis in adults, we suggest that the relationship between lipid dysregulation and cardiac incidents in pediatric patients warrants further investigation.
DOI: 10.17632/n9fg2n2fyh
title: Suplementary Material - Manuscript

description: Raw FID data acquired on TopSpin at a Bruker Avance III NMR spectrometer (400 Mhz). 
Data of Eugenia uniflora L. essential oil charaterization with different temperature treatments.
DOI: 10.6084/m9.figshare.13661360.v1
title: Genome assembly and annotation of Sapria himalayana

description: Genome assembly and annotation of Sapria himalayana. Annotations are based on MAKER ab initio gene predictions combined with transciptome evidence. Pfam annotation are also provided.
DOI: 10.6084/m9.figshare.25390729.v1
title: IBD gut microbiome data: Culturomics,16S rRNA metagenomics, and reproducible R code

description: Culturomics data from inflammatory bowel disease patients, 16S rRNA amplicon sequencing data, and reproducible R code are included. These data relate to the findings of a manuscript titled 'A combined culturomics and metagenomics perspective on gut microbiota in inflammatory bowel disease'. (unpublished, March 2024)
DOI: 10.17632/c95hp3m4mz
title: A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs - Complementary Data

description: This dataset contains complementary data to the paper "A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs" [1], which proposes an exact algorithm for the Graph Burning Problem, an NP-hard optimization problem that models a form of contagion diffusion on social networks.

Concerning the computational experiments discussed in that paper, we make available:

- Four sets of instances;
- The optimal (or best known) solutions obtained;
- The source code;
- An Appendix with additional details about the results.

The "delta" input sets include graphs that are real-world networks [1,2], while the "grid" input set contains graphs that are square grids.

The directories "delta_10K_instances", "delta_100K_instances", "delta_4M_instances" and "grid_instances" contain files that describe the sets of instances. The first two lines of each file contain:




where and are the number of vertices and edges in the graph. Each of the next lines contains:

 

where and identify a pair of vertices that determines an undirected edge.

The directories "delta_10K_solutions", "delta_100K_solutions", "delta_4M_solutions" and "grid_solutions" contain files that describe the optimal (or best known) solutions for the corresponding sets of instances.

The first line of each file contains:



where is the number of vertices in the burning sequence. Each of the next lines contains:



where identifies a fire source. The fire sources are listed in the same order that they appear in a burning sequence of length .

The directory "source_code" contains the implementations of the exact algorithm proposed in the paper [1], namely, PRYM.

Lastly, the file "appendix.pdf" presents additional details on the results reported in the paper.

This work was supported by grants from Santander Bank, Brazil, Brazilian National Council for Scientific and Technological Development (CNPq), Brazil, São Paulo Research Foundation (FAPESP), Brazil and Fund for Support to Teaching, Research and Outreach Activities (FAEPEX).

Caveat: the opinions, hypotheses and conclusions or recommendations expressed in this material are the sole responsibility of the authors and do not necessarily reflect the views of Santander, CNPq, FAPESP or FAEPEX.


References

[1] F. C. Pereira, P. J. de Rezende, T. Yunes and L. F. B. Morato. A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs. Submitted. 2024.

[2] Jure Leskovec and Andrej Krevl. SNAP Datasets: Stanford Large Network Dataset Collection. 2024. https://snap.stanford.edu/data

[3] Ryan A. Rossi and Nesreen K. Ahmed. The Network Data Repository with Interactive Graph Analytics and Visualization. In: AAAI, 2022. https://networkrepository.com
DOI: 10.17632/g666hxgrty
title: Numerical data for "Force distribution within a barchan dune"

description: This dataset contains information from numerical simulations on the distribution of forces within a subaqueous barchan dune. The files contain information of the contact forces between two particles (in contact force 0.5 s folder), and the resultant force acting on each particle (in total force 1.5 s folder) forming a barchan dune under the action of a turbulent water flow.
DOI: 10.17632/h7r43t7dnh
title: Potential energy models of excited compound nucleus

description: Potential energy is important ingredient in static and dynamical investigations of a nuclear fission process. The calculation of surface, nuclear, Coulomb, rotational, curvature, congruence, and Wigner energy functionals is presented for large variety of nuclear shapes generated by a {c, h, α} parametrization. Using these functionals one can calculate the potential energy in several macroscopic models of the liquid-drop type. A numerical code which calculates all these quantities is made available.
DOI: 10.17632/tjmt97xpjf
title: ProAll-D

description: Allergy, often described as an autoimmune disorder, is a clinical condition characterized by the sensitivity of the immune system to normally innocuous elements. Breathing issues, food sensitivities, eczema, bronchopneumonia, and hypersensitivity reaction are examples of these conditions. Symptoms also include red eyes, itching, coughing, nasal congestion, breathing difficulty, or swelling. Typical allergens include pollen and certain foods. Food, insect bites, and drugs are all major causes of severe reactions. Their growth is influenced by both hereditary and environmental factors. Bioinformatics has been extensively utilized to predict allergens, involving a range of tools and methodologies. Even though discriminative algorithms such as support vector machines (SVM) have recently improved alignment methods, they are time-consuming if a new pattern must be compared to a huge amount of existing data. Another limitation of the alignment methods is that they won't develop a model of the true positive but rather estimate the average distances between protein sequences. We present a set of novel allergen prediction models based on protein characteristic values, ACC (auto and cross-covariance) transformation, and a variety of supervised learning, ensemble learning, and deep learning classification methods such as Gaussian Nave Bayes, Radius Neighbour’s Classifier, Extra Tree Classifier, Bagging Classifier, ADA Boost, Linear Discriminant Analysis, Quadratic Discriminant Analysis, and LSTM methods. LSTM was the best-performing model, with an accuracy of 91.51 percent.
DOI: 10.17632/3zf2zhr2z6
title: Reconstruction of a Segmental Bone Defect Using Vascularized Tissue-Engineered Bone Substitutes: An Animal Study

description: Repairing large segmental bone defects remains a major challenge in orthopedics, with conventional autografting and allografting limited by donor shortages and high complication rates. Tissue-engineered bone substitutes have emerged as a potential solution. This study aimed to assess the vascular regeneration of dual-vascularized tissue-engineered bone substitutes in the reconstruction of large segmental bone defects in rabbits. Demineralized bone matrix (DBM) was used as a scaffold, with endothelial progenitor cells (EPCs) seeded onto it. A vascular channel was created within the DBM-EPCs composite scaffold, and the radial artery was implanted into this channel. New Zealand white rabbits were used to create a large radial bone defect model, with animals divided into four groups: DBM, DBM+EPCs, DBM+Vascular Bundle, and DBM+EPCs+Vascular Bundle (n=9 per group). X-ray examinations, gross morphological observations, and CD31 immunofluorescence staining were conducted at 4, 8, and 12 weeks post-surgery. Micro-CT was used to reconstruct the three-dimensional structures of the defects after 12 weeks. The DBM+EPCs+Vascular Bundle group demonstrated the most significant bone regeneration and vascularization across all time points. X-ray, gross morphology, Micro-CT analysis, HE staining, and CD31 immunofluorescence staining all revealed superior bone regeneration and vascular density in this group compared to the others. In conclusion, the dual vascularization strategy significantly enhanced bone regeneration and angiogenesis in the reconstruction of large bone defects.
DOI: 10.17632/jn4k5vc5nj
title: Data for: Annealing kinetics of radiation damage in zircon

description: Annealing data of radiation damage in zircon as represented by Raman spectroscopy