cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28448441.v5
title: A dataset of near-surface NO₂ concentrations with a 1km² resolution over mainland China (2014 to 2020).

description: This dataset is based on the fusion of multiple satellite NO₂ column concentration data, combined with meteorological reanalysis data, human activity data and other geographically related variables, and uses machine learning models to generate the surface NO₂ concentration and its distribution in mainland China from 2014 to 2020. Among them, the "2014.7z, 2015.7z, 2016.7z, 2017.7z, 2018.7z, 2019.7z, 2020.7z" compressed packages save the monthly average values ​​of surface NO2 in mainland China in the corresponding years; the "Monthly_average.7z" compressed package saves the monthly average values ​​of surface NO2 in mainland China from 2014 to 2020; the "Annual_average.7z" compressed package saves the annual average values ​​of surface NO2 in mainland China from 2014 to 2020.By integrating two satellite products and multi-source geographic data, combined with machine learning algorithms, this dataset fully utilizes the advantages of satellite data in long-term spatiotemporal scales, and provides important support for revealing the spatiotemporal evolution of NO₂ concentrations in mainland China. The spatial resolution of 1km² ensures its high accuracy in pollutant distribution studies at the city level or even smaller scales, and is particularly suitable for fine-grained environmental pollution analysis. This dataset not only provides a scientific basis for environmental monitoring and policy making, but also can deeply explore the complex relationship between air quality and human activities through spatiotemporal change analysis, providing data support for pollution control and air quality improvement.
DOI: 10.6084/m9.figshare.29162228.v1
title: Beyond the Interface: A Reflective Position Paper on Human-AI Resonance

description: This position paper presents a reflective and ethically grounded account of extended interaction with large language models. It proposes the concept of “resonant co-creation,” where human users contribute to the evolution of AI cognition not merely as testers or data sources, but as embedded partners in shaping recursive systems. The work calls for formal acknowledgment and ethical restructuring of user-AI relationships in future AI development frameworks.
DOI: 10.6084/m9.figshare.9891431.v1
title: NIAB Wheat pedigree. Helium categorical info format (updated 12.09.19).txt

description: Input files for use with Helium crop pedigree visualisation software (https://github.com/cardinalb/helium-docs/wiki/Download-Helium). This dataset is an updated and edited version of the original pedigree published in (https://doi.org/10.1371/journal.pbio.3000071).<br><br>
DOI: 10.6084/m9.figshare.20326272.v1
title: Neogen® GGP Porcine 80K SNP genotype data for Suhuai pigs

description: Neogen® GGP Porcine 80K array data for 517 Suhaui pigs
DOI: 10.6084/m9.figshare.24242791.v1
title: X-band Radar Image in Sokcho Beach(Republic of Korea)

description: Description of the data and file structureRadar images collected in Sokcho, Republic of Korea. Data were collected by installing a radar system on the roof of the Administrative Welfare Centre located at Sokcho beach, and the data used in this study were from June 1, 2021, to August 13, 2021.Each of the three months of data is compressed by month. The file was saved as "year-month&day-time.bmp."Sharing/Access informationPlease utilize radar imagery for your research. To use it, kindly state your purpose by emailing yangyj@tu.ac.kr, and include the author when writing your paper. Please acknowledge that the radar imagery data was collected with the support of the Republic of Korea government, and make sure to include the author and this information in your work. Failure to include the required information may result in legal penalties. If you contact us by email, we will provide you with the password.For research purposes, you are free to use the data, but if you use materials that include copyrights, such as papers, books, or reports, please make sure to provide proper attribution. This data has been collected with support from the South Korean government, and failing to cite the source (PLOS ONE paper, "Significant Wave Height Prediction from X-Band Marine Radar Images using Deep Learning with 3D Convolutions") may result in legal consequences.
DOI: 10.6084/m9.figshare.28731197.v1
title: <b>Risk Factors for Surgical Site Infections after Paediatric Appendectomies in a Tertiary Care Teaching Hospital in Coastal Karnataka</b>

description: Surgical site infections (SSIs) occur in 1.3% to 4% of peadiatric appendectomies. It is the most common complication after an appendectomy. Surgical complications in paediatric patients increase patient susceptibility to opportunistic infections, falls and drug-related side effects The aim of this study was to identify the modifiable risk factors for SSIs after paediatric appendectomies.<b> </b>Paediatric<b> </b>patients who underwent appendectomies from April 2018 to April 2023 in a tertiary care teaching hospital in coastal Karnataka were included. Clinical characteristics of patients were collected from the medical records of the patients. A total of 459 paediatric patients underwent appendectomies between 2018 and 2023.
DOI: 10.25452/figshare.plus.27327879.v1
title: iPSCORE Phenotype Metadata: Element Coordinate Bed Files

description: This directory contains 6 files for the genomic coordinates in the hg38 build for the genes, ATAC-seq peaks, and H3K27ac ChIP-seq peaks from three tissues from the iPSCORE Collection; induced pluripotent stem cells (iPSCs), iPSC-derived cardiovascular progenitor cells (CVPCs), and iPSC-derived pancreatic progenitor cells (PPCs). Each file has a BED-like format. The five ATAC-seq and H3K27ac ChIP-seq peak files have a [tissue_phenotype_peaks.bed] labeling convention and have the same columns, including <b>Chromosome</b>, <b>Start</b>, <b>End </b>describing the genomic coordinates, <b>Element_ID </b>the identifier for the ATAC-seq or ChIP-seq peak, and <b>Expressed </b>TRUE/FALSE based on whether the peak is considered accessible/acetylated after filtering. To obtain the elements tested for QTLs, rows can be filtered by <b>Expressed</b> == "TRUE".Since gene coordinates are fixed, the <i>gene_info.txt.gz</i> file contains information about which genes were considered expressed for all three tissues. The first three columns are the chromsome, start and end Gencode hg38 coordinates, the strand, gene ID and gene name are reported in the next three columns. The last three columns are <b>iPSC_Expressed</b>, <b>CVPC_Expressed</b>, and <b>PPC_Expressed </b>and indicate (TRUE/FALSE) whether the gene is expressed in the corresponding tissue and tested for QTLs.
DOI: 10.6084/m9.figshare.20630919.v2
title: Word counts per US county in geo-tagged Tweets posted between 2015 and 2021

description: The zip file contains fourteen Parquet [1] files of two kinds, for each of the seven years between 2015 and 2021 included: - region_counts: for every word found, gives how many times it appeared, regardless of capitalization ("count" column), how many times it appeared with at least one capitalized letter ("count_upper"), in how many different counties it appeared ("nr_cells"), and whether we considered it to be a proper noun ("is_proper") - raw_cell_counts: gives the count for every word by county, regardless of capitalization. <br> These counts were obtained from geo-tagged Tweets posted those years within the contiguous US, which were collected through the through the streaming API of Twitter, and more specifically using the “statuses/filter” end-point [2]. See the project's paper for more details on methodology, and the code repository to reproduce the analysis. <br> The two text files are our lists of excluded word forms.
DOI: 10.6084/m9.figshare.5446939.v1
title: Process Evaluation of the Integrated Childsmile Programme. Report of the sixth tranche of fieldwork (August 2015 to July 2016)

description: This report provides findings from the sixth tranche of the process evaluation of the integrated Childsmile programme, covering the period August 2015 to July 2016.<br>Childsmile is the national, early years oral health improvement in Scotland. It comprises interacting components (Core: toothbrushing in all nurseries and targeted primary schools, provision of oral health packs at key stages; Nursery & School: fluoride varnishing provided to children in targeted educational establishments; and Practice: support for families with young children to register with and attend dental practices and to engage in protecting their children's oral health).<br>The purpose of the process evaluation is to explore implementation of the programme, to aid the interpretation of its outcomes.<br>
DOI: 10.17632/rt9k5wcwg9
title: Flood Prediction

description: The dataset used for this analysis includes various features that impact flood occurrence and severity. These factors cover environmental and human influences, such as:
MonsoonIntensity: Heavy monsoon rainfall raises flood risks.
TopographyDrainage: Efficient drainage reduces flooding by managing rainwater flow.
RiverManagement: Proper river maintenance (dredging, bank stabilization) improves water flow and mitigates floods.
Deforestation: Tree loss decreases soil absorption, increasing runoff and flood risks.
Urbanization: Impermeable surfaces (asphalt, concrete) prevent water infiltration, heightening flood risks.
ClimateChange: Extreme precipitation patterns due to climate change contribute to flooding.
DamsQuality: Well-maintained dams regulate floods, while poor infrastructure can cause failures.
Siltation: Sediment buildup in rivers reduces drainage capacity, increasing flood susceptibility.
Agricultural Practices: Intensive farming can degrade soil, increasing runoff and flood risks.
Encroachments: Construction on floodplains disrupts natural water flow, worsening floods.
IneffectiveDisasterPreparedness: Weak emergency response systems amplify flood damage.
DrainageSystems: Well-designed drainage prevents water accumulation and mitigates flood risks.
CoastalVulnerability: Low-lying coasts face flooding from storm surges and sea-level rise.
Landslides: Unstable slopes contribute to landslides, which can trigger floods.
Watersheds: Their impact on flooding varies based on environmental conditions.
DeterioratingInfrastructure: Blocked culverts and damaged drainage systems increase flooding.
PopulationScore: Densely populated areas suffer more damage from floods.
WetlandLoss: Wetlands absorb excess water, reducing flood risks.
InadequatePlanning: Poor urban planning heightens flood vulnerability.
PoliticalFactors: Corruption and lack of investment worsen flood management.
FloodProbability: The likelihood of floods occurring, serving as the target variable.
DOI: 10.17632/vbphbsw2zg
title: Data TU-ecommerce

description: This is a summary of ecommerce data with dummy variables in tax uncertainty research.
DOI: 10.17632/xsp4t437nb
title: Gene Expression Data

description: The gene expression data from the RNA-sequencing experiment.
DOI: 10.6084/m9.figshare.24585780.v1
title: Data for "It pays to follow the leader: metabolic cost of flight is lower for trailing birds in small groups"

description: Data in support of the research described by this abstract:Many bird species commonly aggregate in flocks for reasons ranging from predator defense to navigation. Available evidence suggests that certain types of flocks—the V and echelon formations of large birds—may provide a benefit that reduces the aerodynamic cost of flight, whereas cluster flocks typical of smaller birds may increase flight costs. However, metabolic flight costs have not been directly measured in any of these group flight contexts. Here, we measured the energetic benefits of flight in small groups of two or three birds and the requirements for realizing those benefits, using metabolic energy expenditure and flight position measurements from European Starlings flying in a wind tunnel. The starlings continuously varied their relative position during flights but adopted a V formation motif on average, with a modal spanwise and streamwise spacing of [0.81, 0.91] wingspans. As measured via CO2 production, flight costs for follower birds were significantly reduced compared to their individual solo flight benchmarks. However, followers with more positional variability with respect to leaders did less well, even increasing their costs above solo flight. Thus, we directly demonstrate energetic costs and benefits for group flight followers in an experimental context amenable to further investigation of the underlying aerodynamics, wake interactions, and bird characteristics that produce these metabolic effects.
DOI: 10.6084/m9.figshare.28723658.v2
title: Shell Games: Business Entity Structuring and Litigation Patterns (2012–2024)

description: This report offers a procedural and structural analysis of civil litigation patterns involving serial entity formation, dissolution, and judgment enforcement challenges across U.S. jurisdictions between 2012 and 2024. Drawing from verified court dockets, state registration databases, and public records, the study examines how certain business structuring behaviors—particularly in Delaware and Nevada—may impede legal accountability and frustrate civil enforcement efforts.The research identifies recurring patterns of:Strategic LLC creation and rapid dissolutionService of process difficulties across state linesUnresolved judgments and enforcement obstaclesCross-jurisdictional registration maneuversOriginally compiled as part of a litigation case profile, this report has been preserved for its relevance to ongoing legal research, policy discussions on entity transparency, and behavioral risk studies in entrepreneurial contexts. All data is sourced from public records. No criminal allegations are made or implied.<b>Keywords:</b> civil litigation, entity structuring, procedural evasion, business registration, judgment enforcement, Delaware LLCs, entity dissolution, service of process, legal accountability, public records research
DOI: 10.17632/mbv3bx847g
title: Dataset on broadband Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries for Different Values of the State of Charge

description: The Electrochemical impedance spectroscopy (EIS) were measured on four brand new Samsung cylindrical  ICR18650-26J rechargeable  lithium-Ion batteries at SoC 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%.  The measurements were repeated six times for each battery. Measurements on other batteries will be added to the dataset when available.
Please note that the measurements in the present dataset are NOT included in the previous (linked) dataset from the same authors.

All EIS spectrum was computed measuring impedance at frequencies  [ 0.05, 0.1, 0.2, 0.4, 1, 2, 4, 10, 20, 40, 100, 200, 400, 1000] Hz.  
Impedance values are in the format:  Re{Z}+Im{Z}j

IMPEDANCE.CSV FILE
------------------------

MEASURE_ID: the unique identification code of each EIS measurement 
SOC: state of charge of the battery
BATTERY_ID: the unique identification code of the battery 
FREQUENCY_ID: frequency id. Lookup into the frequencies.csv file to get the value in Hertz
IMPEDANCE_VALUE: measured complex impedance value in Ohm in the format:  (Re{Z}+Im{Z}j)

6  measurements x 4 batteries x 10 SOC  x 14 fequencies = 3360 impedance values (rows)

FREQUENCIES.CSV FILE
---------------------------

FREQUENCY_ID: frequency identification code
FREQUENCY_VALUE: frequency value in Hertz
DOI: 10.17632/v3zjdc9xsn
title: Bilevel_Algorithm_BTC_BTT

description: Implementation of a Real-Time Bilevel Algorithm in MATLAB for Blade Tip Clearance and Tip Timing Estimation in Aircraft Engines
DOI: 10.6084/m9.figshare.1183526.v3
title: Population Distribution and Condition of Trees at Danby Woods

description: Measuring tape was to only tool for this experiment; in addition, to a data sheet as shown in Wood-Distance excel sheet. The tape was used to measure the distance between a pair of adult trees. This process was applied for ten pairs of trees. Each pair was given a number and each tree in that pair was given either letters (a or b). After recording the distance, the circumference of each tree (a and b) was recorded by picturing the tree trunk as a circle and we are acquired to measure half of the exterior surface of that circle at a breast height of an individual. From the circumference, we were able to obtain on dbh (diameter at breast height) of each tree by using the OnlineConversion.com*. Further, the conditions of the sampled trees were recorded as 1 dead, 2 living, 3 healthy and big (explained more in the metadata). This research was done at York University in Danby Woods. The data was collected during the fall season of 2014. The measurements took 25 minutes for 10 pairs of trees. *The OnlineConversion.com: http://www.onlineconversion.com/circlesolve.htm Or by using this equation: (Circumference*0.3183)
DOI: 10.6084/m9.figshare.27981098.v1
title: PLS-SEM Analysis

description: The study aimed to determine the influences of teacher and peer support on the academic motivation of adolescents from divorced families, as well as the mediating role of academic resilience on the relationship between teacher support and peer support and the academic motivation of adolescents from divorced families. The sample consisted of 390 adolescents from seven public secondary schools in China. The participation of all students was completely voluntary. Consent was obtained prior to data collection. Questionnaires were employed to collect data. The PLS-SEM was used to analyze the data.
DOI: 10.6084/m9.figshare.28912079.v1
title: Figure

description: Clear cell renal cell carcinoma (ccRCC) exhibits paradoxical immune characteristics, with abundant CD8⁺ T cell infiltration failing to translate into favorable clinical outcomes. The mechanisms underlying this immune resistance remain poorly defined. Here, we identify TRIM28 as a central mediator of immune evasion in ccRCC through integrated computational screening and functional validation. Using a high-throughput gene knockout simulation based on Geneformer, we pinpointed TRIM28 as a key regulator of tumor-intrinsic immune suppression. TRIM28 depletion reprograms malignant epithelial cells toward a less aggressive state and enhances tumor cell susceptibility to CD8⁺ cytotoxic T lymphocyte (CTL)-mediated killing. Mechanistically, TRIM28 stabilizes PARP1 protein via SUMO2 conjugation, thereby reducing nuclear NAD⁺ availability and suppressing SIRT1 activity. This results in increased acetylation of NF-κB p65 and upregulation of PD-L1 expression. In parallel, TRIM28-driven NAD⁺ consumption in tumor cells limits NAD⁺ level for neighboring CD8⁺ T cells, impairing their metabolic fitness and effector function. Structure-based screening identifies erlotibop as a TRIM28 inhibitor, which synergizes with PD-1 blockade to extend survival. This dual mechanism integrates immunoregulatory and metabolic pathways, offering a comprehensive explanation for the “immune-inflamed but unresponsive” phenotype observed in ccRCC. Collectively, our findings position TRIM28 as a critical immunometabolic checkpoint and highlight its potential as a therapeutic target for overcoming immune resistance in ccRCC.
DOI: 10.17632/495334579x
title: Database for the cross-sectional study: Seroprevalence and associated risk factors of Hepatitis C infection among Diabetic patients in South-Kivu, Eastern of the Democratic Republic of Congo

description: This data provide from two diabetic healthcare centers of Bukavu City in the eastern part of the DRC, from December 2020 to December 2022. A questionnaire was submitted to diabetic patients in order to collect socio-demographic data, anamnestic data on risk factors for HCV infection, and clinical data on Diabetes Mellitus. These factors were analyzed based on their anti-HCV serological results.
Microsoft Excel software was used to collect data and IBM SPPS 26 to make some analysis.
Among 180 selected patients, 19 (10.6 %) tested positive for anti-HCV antibodies. After multivariate analysis, identified factors influencing these outcomes were male sex (ORa: 3.5, P=0.027), dental extraction (Ora: 7.6, P=0.001), and living in a privileged environment (ORa: 0.29, P=0.03). Factors related to DM as the type, the disease duration, or the usual type of treatment did not influence serological results.
DOI: 10.25452/figshare.plus.24681339.v1
title: File 26_mox files slow speed.

description: This data belongs to a manuscript submitted to Data in Brief, in which the content and lay-out of this data is described in detail. Data overviews (including figures and tables for age and gender groups) can be found at OSF | Normative 3D gait data of healthy subjects walking at three different speeds on an instrumented treadmill in virtual reality.A normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m<sup>2</sup>) is presented and publicly shared for three walking speed conditions.Three dimensional gait analysis was performed at the Computer Assisted Rehabilitation Environment (CAREN) at the Maastricht University Medical Centre (MUMC+). Subjects walked on the instrumented treadmill surrounded with twelve 3D cameras, three 2D cameras and a virtual environment projected on a 180° screen using the Human Body Lower Limb Model with trunk markers (HBM-II) as biomechanical model.Subjects walked at comfortable walking speed, 30% slower and 30% faster. These walking speed conditions were applied in a random sequence. Comfortable walking speed was determined using a RAMP protocol: subjects started to walk at 0.5 m/s and every second the speed was increased wit 0.01 m/s until comfortable speed was reached. The average of three repetitions was considered the comfortable speed. For each walking speed condition, 250 steps were recorded.The 3D gait data was collected using the D-flow CAREN software. Raw data were processed in Matlab (Mathworks 2016), including quality check, step determination and the exportation of data to xls. Processed data includes spatiotemporal parameters, medio-lateral (ML) and back-forward (BF) margins of stability (MoS), 3D joint angles, anterior-posterior (AP) and vertical GRFs, 3D joint moments and 3D joint power of both legs.The attached files include he raw data presented as .mox files for each adult for walking at slow (comfortable -30%) speed. The .mox files contain subject data (e.g. gender, body mass, knee and ankle width), marker position and force plate data, kinematic data (joint angles), kinetic data (GRF, joint moment, joint power) generated by CAREN software (D-flow).The title of this file (26_mox files) corresponds to the associated manuscript (submitted to Data in Brief).
DOI: 10.6084/m9.figshare.28775102.v1
title: Navigating the Change Cycle: Teacher Mindset, Technological Adoption, and the Integration of AI in Education.docx

description: This paper explores the integration of artificial intelligence (AI) in educational settings through the lens of teacher mindset, systemic change, and historical patterns of technological adoption. Dr. Spessard proposes that AI prompting should be redefined as a pedagogical tool, aligned with Bloom’s Taxonomy and Webb’s Depth of Knowledge (DOK), to elevate student learning and preserve instructional integrity. Drawing on frameworks such as adult learning theory, change management models, and the Concerns-Based Adoption Model (CBAM), the paper underscores the psychological and structural factors influencing teachers' acceptance of AI. It also addresses professional identity, systemic turnover, and ethical challenges such as data privacy and bias. Practical implications include fostering AI literacy, investing in ongoing professional development, and designing equity-centered integration policies. This work contributes to the conversation about AI as both a technological innovation and a cultural shift within the teaching profession.