cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tthzg5wf2f
title: Raw data of electrochemical measurements for the article "Electrochemical Characterisation of Raney Nickel Electrodes for Alkaline Water Electrolysis: From Laboratory to Industrial Scale"

description: This dataset collects the raw data for the electrochemical measurements for the article "Electrochemical Characterisation of Raney Nickel Electrodes for Alkaline Water Electrolysis: From Laboratory to Industrial Scale". Measurements with 4 setups for studying alkaline water electrolysis are included: three-electrode setup (3E), two-electrode flow cell with plastic tubing (2EP), two-electrode flow cell with metal piping (2EM) with two different cell configurations defined as 2EMC1 and 2EMC2 and a stack with 17 unit cells (S). Polarisation curve measurements are given for all setups, including polarisation curves measured for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) with the 3E setup. Electrochemical impedance spectroscopy (EIS) data is given at different current densities for all experiments except the measurements with the stack. For 3E-2, 3E-3, 2EP-1, 2EP-2, and 2EMC1-3 experiments data for repeated measurements are included. More details about the measurement conditions are to be published.
DOI: 10.6084/m9.figshare.25603197.v1
title: Supplementary Material for: Portable Percussive Massage Device-Related Rectus Sheath Hematoma and Obstructive Uropathy: A Case Report

description: Introduction
Rectus sheath hematomas (RSHs) can occur from the rupture of the epigastric arteries, leading to blood accumulation within the rectus abdominis sheath. Herein we report the unique case of a RSH resulting in acute ureteral obstruction, which was associated with the use of a handheld deep-tissue percussive massage device in attempts to relieve abdominal pain.

Case Report
A morbidly obese man in his late 50s was admitted with complications of COVID-19, including acute respiratory syndrome, bilateral peroneal deep vein thromboses, and acute kidney injury. He was treated with anticoagulants (subcutaneous enoxaparin and apixaban), dexamethasone, and remdesivir. He developed severe abdominal pain, and a large (14 x 17 cm) right rectus sheath and an extraperitoneal pelvic hematoma were identified by computed tomography (CT). The hematoma extended across the midline into the left pelvis and the retroperitoneum with associated mild right hydronephrosis. A handheld percussive massage device (Theragun®) was applied repeatedly at the site of enoxaparin injection into the abdominal wall in attempts to alleviate the pain. On day 12, bilateral nephrostomy tubes were inserted. A nephrostogram revealed mild hydroureteronephrosis to the ureterovesicular junction bilaterally and extrinsic compression of the bladder. On day 17, the patient suffered a cardiac arrest and died.

Discussion/Conclusion
This case report offers insights into the pathophysiology of obstructive uropathy and is a reminder of the importance of considering uncommon causes of obstructive uropathy in the diagnosis and management of AKI, particularly in hospitalized patients receiving anticoagulation. We know of no previous reference of obstructive uropathy caused by retroperitoneal hematoma associated with the use of a portable massage device applied to the abdominal wall.
DOI: 10.6084/m9.figshare.26028799.v1
title: Neocaridina-COI-haplotype.fasta

description: Neocaridina-COI-haplotype data
DOI: 10.17632/bgv6p996zg
title: Trinidad site survey data 2011_Version2

description: Dataset for 2011 Trinidad site survey, diet, excretion, body stoichiometry. Dalton, Zandonà, Sullam. Version 2
DOI: 10.17632/zv684p5rfy
title: Data on leading Russian universities performance in 2015-2018

description: This dataset includes the data on educational, scientific and research, international, financial and economic performance and public recognition of 93 Russian leading universities in the period 2015-2018. Leading universities refers to federal, national research and flagship universities, together with universities-participants of the Russian Academic Excellence Project (Project 5-100). These data were gathered from materials, published in the monitoring of higher education institutions performance, held by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, materials from international ranking agencies QS, THE, ARWU and presented in Excel format. Researchers can use this dataset for socio-economic studies in comparative analysis of higher education system development level in different countries.
DOI: 10.6084/m9.figshare.12811721.v1
title: DNA sequence alignments used in phylogenetic analyses in Rossoni et al. 2020 "Genetic, morphological and acoustic differentiation of African trident bats (Rhinonycteridae: Triaenops)" Zoological Journal of the Linnean Society

description: Mitochondrial and nuclear intron alignments used in phylogenetic analyses in Rossoni et al. 2020<br>
DOI: 10.17632/mkwxn7rjpm
title: FociSet: Dataset of raw and manually annotated SD-OCT images for paracentral acute middle maculopathy lesions detecting

description: The FociSet consists of 133 OCT images with Paracentral acute middle maculopathy（PAMM）lesions features and their corresponding YOLO labels and json labels. Corrected the error in the previous version title.
DOI: 10.17632/vkv4cwhh7n
title: Face mask use in the city of Chennai, India: Results from three serial cross-sectional surveys, 2021

description: Face mask use in the city of Chennai, India: Results from three serial cross-sectional surveys, 2021. We captured the compliance to face mask usage in outdoors, indoors, and in the malls of Chennai. Three datasets are attached here.
DOI: 10.6084/m9.figshare.5128693.v1
title: Supplementary Material for: Use of in vivo Expression Technology for the Identification of Putative Host Adaptation Factors of the Lyme Disease Spirochete

description: The causative agent of Lyme disease, <i>Borrelia burgdorferi,</i> is an obligate parasite that requires either a tick vector or a mammalian host for survival. Identification of the bacterial genes that are specifically expressed during infection of the mammalian host could provide targets for novel therapeutics and vaccines. In vivo expression technology (IVET) is a reporter-based promoter trap system that utilizes selectable markers to identify promoters of bacterial host-specific genes. Using previously characterized genes for in vivo and in vitro selection, this study utilized an IVET system that allows for selection of <i>B. burgdorferi</i> sequences that act as active promoters only during murine infection. This promoter trap system was able to successfully distinguish active promoter sequences both in vivo and in vitro from control sequences and a library of cloned <i>B. burgdorferi</i> genomic fragments. However, a bottleneck effect during the experimental mouse infection limited the utility for genome-wide promoter screening. Overall, IVET was demonstrated as a tool for the identification of in vivo-induced promoter elements of <i>B. burgdorferi,</i> and the observed infection bottleneck apparent using a polyclonal infection pool provides insight into the dynamics of experimental infection with <i>B. burgdorferi.</i>
DOI: 10.17632/7y3kwvy5wr
title: Replication package for "Global Impacts of US Monetary Policy Uncertainty Shocks" by Povilas Lastauskas and Anh Dinh Minh Nguyen.

description: Replication package for the paper "Global Impacts of US Monetary Policy Uncertainty Shocks" by Povilas Lastauskas and Anh Dinh Minh Nguyen.
DOI: 10.17632/fsn6fn7ht8
title: Anomaly bias Stock Trades and Order Dataset

description: The datasets used herein (trade.csv, orders.csv) are representative of such resources, originating from the detailed logs generated by an exchange's electronic trading system, capturing order lifecycle events and trade executions with high-fidelity timestamps and unique identifiers. While obtained through these open channels, the data adheres to strict privacy protocols, employing anonymized identifiers for participants. Therefore, throughout this study, we treat all identifiers (MEMBER_CODE, CLIENT_ID, TRADER_ID) as unique labels representing distinct entities within the dataset's ecosystem. This approach allows for rigorous analysis of trading patterns and network structures while respecting the confidentiality requirements and ethical usage guidelines.

The primary value of this dataset lies in its granularity and the combination of both order and trade information. The orders.csv file provides insight into the intentions of market participants – the prices, quantities, and timing of their desired trades before execution. The trade.csv file provides the outcomes – which orders actually matched, at what price, quantity, and time.

This data is especially valuable for researchers and surveillance professionals seeking to build fraud detection algorithms using real-world complexities rather than synthetic approximations. It supports a wide range of analytical methodologies, including graph-based cycle detection, participant network analysis, latency profiling, and behavioral clustering. With clean formatting, high fidelity, and clear attribute separation, the dataset is ideally suited for exploring how manipulative intent might emerge in high-frequency trading environments and offers a solid foundation for both academic inquiry and regulatory innovation.
DOI: 10.17632/mrbjz83xf6
title: SpinalJ_example_data_raw(2/6)

description: Example dataset of mouse spinal cord sections for processing, reconstruction and atlas registration using SpinalJ (Fiederling et al., 2021; ; https://www.biorxiv.org/content/10.1101/2021.05.06.443008v1). Files include part 2 of raw image data used to generate data provided in SpinalJ_example_dataset_processed.
DOI: 10.17632/xhgyp6ncvt
title: mVMC—Open-source software for many-variable variational Monte Carlo method

description: mVMC (many-variable Variational Monte Carlo) is an open-source software based on the variational Monte Carlo method applicable for a wide range of Hamiltonians for interacting fermion systems. In mVMC, we introduce more than ten thousands variational parameters and simultaneously optimize them by using the stochastic reconfiguration (SR) method. In this paper, we explain basics and user interfaces of mVMC. By using mVMC, users can perform the calculation by preparing only one input file of about ten lines for widely studied quantum lattice models, and can also perform it for general Hamiltonians by preparing several additional input files. We show the benchmark results of mVMC for the Hubbard model, the Heisenberg model, and the Kondo-lattice model. These benchmark results demonstrate that mVMC provides ground-state and low-energy-excited-state wave functions for interacting fermion systems i th high accuracy.
DOI: 10.6084/m9.figshare.22110500.v1
title: Supplementary material for: Microinjury-Induced Tumor Necrosis Factor-α Surge Stimulates Hair Regeneration in Mice

description: <em><strong>Introduction:</strong></em> Tumor necrosis factor (TNF)-α released after follicular injury such as that caused by plucking plays a role in the activation of hair regeneration. Microneedle (MN) treatment is applied to the scalp to increase permeability and facilitate the delivery of any number of compounds. Because the MN treatment causes injury to the epidermis, albeit minor, we reasoned that this treatment would lead to a temporary TNF-α surge and thereby promote hair regeneration. <em><strong>Methods:</strong></em> To investigate the effects of MN-treatment-induced microinjury and TNF-α on hair growth, we used C57BL/6N mice which were divided into six experimental groups: three groups of 1) negative control (NC), 2) plucking positive control (PK), and 3) MN therapy system (MTS) mice; and three groups identical to above were treated with a TNF-α blocker for 3 weeks: 4) NCB, 5) PKB, and 6) MTSB group. <em><strong>Results:</strong></em> After injury, TNF-α surge occurred on day 3 in the PK group and on day 6 in the MTS group. Wnt proteins and VEGF expression were markedly increased in the PK group on day 3 and on day 6 in the MTS group compared to the NC group. Following wound healing, only MTS and PK groups displayed thickened epidermis and longer HF length. Within the 2 weeks following treatment, the rate of hair growth was much slower in the injured mice treated with the TNF-α blocker. <em><strong>Conclusion:</strong></em> Our findings indicate that microinjury stimulates the wound-healing mechanism via TNF-α/Wnt/VEGF surge to induce hair growth, and that blocking TNF-α inhibits this growth process.
DOI: 10.15131/shef.data.27291162.v1
title: Incremental and bulk stable isotopic dataset from 'The role of infant life histories in the construction of identities in death: An incremental isotope study of dietary and physiological status among children afforded differential burial'.

description: Incremental and bulk stable isotopic dataset from Craig-Atkins, E., Towers, J., & Beaumont, J. 2018. The role of infant life histories in the construction of identities in death: An incremental isotope study of dietary and physiological status among children afforded differential burial. American Journal of Physical Anthropology 167 (3): 644-55.
This dataset provides the raw isotopic data generated for Craig-Atkins et al. 2018. It can be downloaded in .xlsx and .csv format. The files comprise stable isotopic δ15N and δ13C values obtained from serial samples of teeth and bulk analysis of rib tissue from 86 medieval perinate and infant skeletons from four archaeological assemblages: Raunds Furnells, Northants; Cherry Hinton, Cambs; Spofforth, N Yorks; and Black Gate, Newcastle, Tyne and Wear. Full details of the sample, methods and findings of the research are presented in Craig-Atkins et. al. 2018, available at https://onlinelibrary.wiley.com/doi/10.1002/ajpa.23691 or as an open access pre-print manuscript at https://eprints.whiterose.ac.uk/133288/.
DOI: 10.17632/4gs7mmjt4c
title: Historical charts, soundings and surfaces (DEMs) of western Victoria, Australia

description: This data repository hosts the georeferenced nautical charts, digitised soundings, converted soundings (Australian Height Datum 1994), surface masks and interpolated surfaces (DEMs) of seven historical surveys conducted in western Victoria during the 19th century. These charts produced by H. J. Stanley, J. Barrow and J. B Mason for Portland Bay (1854, 1869 and 1972), Port Fairy (1870), Lady Bay-Warrnambool (1870) and Apollo Bay (1868 and 1889), were obtained in digital format from the State Library Victoria (www.slv.vic.gov.au). For specific characteristics of individual charts refer to Table 1. These nautical charts provide an unique historical perspective of the coast during the time of the surveys. These datasets were used by the author and collaborators to understand sedimentary dynamics and quantify human alterations in the coastal zone, by comparing their surfaces to contemporary Multibeam Echosounding (MBES) bathymetry and Light Detection and Ranging (LiDAR) data. The georeferenced nautical charts and interpolated surfaces are in Geotiff format, and the digitised soundings, converted soundings and surface masks are in shapefile format. Files are compressed and organised in sub-folders inside specific charts.
DOI: 10.17632/khnr5jyych
title: Roads, Internal Migration and the Spatial Sorting of U.S. High-Skill Workers

description: This dataset contains the replication package for the article "Roads, Internal Migration and the Spatial Sorting of U.S. High-Skill Workers."
Abstract: This article studies the effects of a major transport infrastructure project, the construction of the U.S. Interstate Highway System (IHS), on the location choices and welfare of high-skill and low-skill workers. In its first part, the article provides reduced-form evidence that the IHS altered the skill composition of metropolitan areas. Event study and instrumental variable regressions show that better-connected cities experienced higher growth in their adult population and share of college-educated residents. Additional results highlight the role played by lower travel times, inter-state migration, and agglomeration economies. The second part of the article rationalizes these patterns using a quantitative spatial model with costly trade, heterogeneous migration costs, and agglomeration economies. Counterfactual experiments show that increasing travel times to their pre-IHS values would lower the expected utility of high-skill workers by an average of 6.1% and that of low-skill workers by 6.4%. These effects exhibit significant variation across cities and, within cities, across skill groups. The findings in this article highlight how transport infrastructure shapes the distribution of skills and the spatial patterns of welfare inequality
DOI: 10.17632/t7xj4rc62t
title: Single Molecule Footprinting - Por distal enhancer

description: Data associated with the single molecule footprinting analysis are provided below and consist of:
 (i) A folder "fastq_files_all_reads" that includes paired end fastq files (R1 and R2) for the 6 samples considered in the analysis,
 (ii) A folder "Reconstituted_reads_for_analysis" that includes all reconstituted reads used for generated the clustering analysis and heatmap (number downsampled to the sample with the lowest number of reads)
 (iii) The script used for the analysis, named "porEnhancerAlignmentClusteringAnalysis.ipynb"
DOI: 10.17632/hpxkp44kpd
title: Data for Byz Economic Growth and Climate Change paper

description: Data file for Byzantine Economic Growth: Did Past Climate Change Play a Role?
DOI: 10.17632/rbx6gr7gds
title: Mass Energy in Pythagoras formula

description: every particle and atom and Neutron create up four subjects, these four subjects are Time, space, Energy, and magnetic field. In this article, Each subject (Time, space, energy, etc.) follows Pythagoras formula (a)^2 + (b)^2 = C^2, the calculation shown how the values obtained from each section comply with the Pythagoras formula (a)^2 + (b)^2 = C^2,
DOI: 10.17632/28nhkmy7cr
title: Data for: Data in intelligent approach for estimation of disc cutter life using hybrid metaheuristic algorithm

description: statistics of the generated database
DOI: 10.17632/8vpx33d8dw
title: Western blot

description: Raw Western Blots
DOI: 10.17632/xxpjm7pxbg
title: Generative AI rewritten SEC filings

description: The rewritten filings in this dataset were generated using large language models from OpenAI, specifically GPT-4o and GPT-4o-mini. The rewriting process focused on the Management Discussion and Analysis (MD&A) part (section 7 and section 2, respectively) of 10-K and 10-Q filings, with the goal of maintaining the original content while improving the sentiment. There are 11,266 10-K and 32,620 10-Q filings. The sample was selected ensuring neutrality by considering both the year and sector. This method ensures a balanced representation across different time periods and industries, avoiding biases related to specific sectors or years in the rewritten filings.

The rewritten filings in this dataset are saved in text files named according to the format: cik + '_' + accession number of the filing + '_section' + section number + '_' + model + '.txt'

The following query was used:
Please rewrite the provided MD&A section of a 10-K filing. Your goal is to create a new version that maintains the original meaning, key details, and financial information, but with more positive wording and phrasing. Ensure the rewritten text is coherent, professionally written, and retains the appropriate tone for a financial report. Also, enhance the positive sentiment by highlighting achievements, growth, and opportunities, while preserving all factual content. \n\nOriginal Text:
DOI: 10.17632/z2nsknmksd
title: Dataset Automatic scoring on Mole calculation

description: The training dataset designed for understanding and solving chemical calculations, specifically calculating the mass of compounds given the number of moles and molar mass, is a foundational resource for training NLP models in the deep learning domain. This dataset aims to equip models with the ability to accurately interpret and execute chemical calculations presented in textual form. Structured to support the training of advanced NLP models like BERT, GPT, or other transformer-based models, it comprises a series of calculation questions, numerical data for moles and molar mass, and the expected answers in units of mass. Each entry is annotated with additional information such as the calculation category, the formula used, and step-by-step explanations to facilitate model understanding. Presented in the JSON Lines (jsonl) format, this structured approach enables efficient batch processing and individual item analysis, making it an invaluable tool for developing NLP applications capable of performing quantitative chemical problem-solving.

The application of this dataset extends beyond mere calculation to include natural language understanding within the context of chemistry, extracting numerical and contextual information, and generating human-comprehensible textual answers. Post-training, models are evaluated against a separate test dataset to ensure their capability to comprehend questions, extract relevant data accurately, and produce precise numerical answers. Evaluation metrics such as accuracy, precision, and recall in question understanding, along with the numerical accuracy of answers, demonstrate the model's performance. This dataset not only facilitates the research and development of NLP models that apply chemical knowledge to solve quantitative problems but also significantly advances AI's role in chemical education and research.
DOI: 10.6084/m9.figshare.13095632.v3
title: SAVSNET_Tumour_Registry.csv

description: This dataset is part of a paper that describes the first veterinary tumour registry (TR) built from electronic pathology records (EPR) submitted to the Small Animal Veterinary Surveillance Network (SAVSNET). It was created from an original collection of 180,232 free text (non-structured) cytology and histopathology EPRs reported between April 2018 and June 2019 by using a specific text-mining methodology to identify 109,895 neoplasias. These data were normalized to describe both the tumour (type and location) and the animal (breed, neutering status and veterinary practice postcode). The resulting TR is the largest of its kind for companion animals to date. The TR is being used to confirm risk factors for several tumour types and identify new ones in such a way that this data set can facilitate a wide array of research in areas including surveillance, clinical decision making and comparative cancer biology.