cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29145821.v1
title: From Einstein’s Cosmological Constant Λ to Entropic Geometry: A Dynamic Framework via the Haddad–Λ Tensor

description: <br>This groundbreaking article proposes a novel reinterpretation of Einstein’s cosmological constant Λ as a constant, and instead introduces a dynamic, entropy-based reformulation.At the heart of this new framework is the <b>Haddad–</b><b>Λ</b><b> Tensor</b>, denoted Ξμν(ϕ,Rμν), which blends scalar field dynamics (ϕ ) with spacetime curvature via the Ricci tensor Rμν​. This tensor redefines the cosmological term as an <b>emergent geometric-thermodynamic field</b> rather than a fixed scalar, encoding both geometric structure and entropic flux.The article builds a bridge between general relativity and thermodynamic gravity by showing how variations in the entropy of spacetime geometry can be described using this new tensor. This leads to a <b>dynamic equation of state for dark energy</b>, possibly resolving tensions in observational cosmology (e.g. Hubble tension) and aligning with entropic gravity principles (like those proposed by Verlinde).Moreover, the Haddad–Λ Tensor respects the Bianchi identities and remains consistent with the Einstein field equations under a generalized conservation law. The approach offers deep theoretical implications for quantum gravity, suggesting that Λ is not fundamental but <b>emergent from statistical microstates of spacetime</b>.<b>Key Contributions:</b>Introduces the <b>Haddad–</b><b>Λ</b><b> Tensor </b><b>Ξ</b><b>μ</b><b>ν</b><b>(</b><b>ϕ</b><b>,</b><b>R</b><b>μ</b><b>ν</b><b>)</b> as a dynamic extension of Einstein's cosmological term.Links <b>entropy and spacetime curvature</b>, merging thermodynamics with general relativity.Proposes a <b>variable dark energy density</b> guided by entropic and geometric interactions.Offers a fresh perspective on the cosmological constant problem and quantum gravity.
DOI: 10.6084/m9.figshare.5306725.v2
title: File 1 SVs in the 453 high sequencing-depth rice accessions

description: Presence/Absence (1/0) matrix of SVs (deletion, duplication, inversion and translocation) in 453 rice accessions. In the matrix, '1' represents that SV is present in the accession, while '0' means absent. Before creating the matrix, SV were detected in 3,010 rice accession using NovoBreak. SVs passed the filter cretia were remained to make the presence/absence (1/0) matrix for 453 high depth sequenced rice accessions.
DOI: 10.6084/m9.figshare.11352140.v1
title: Protein clusters and trees, ALE results

description: small_clusters_eurNOG.tar.gz unaligned sequence files for clusters with less than 4 member sequences<br>ufboot_eurNOG.tar.gz ultrafast bootstrap samples inferred for clusters with at least 4 members<br>events.txt.gz ALE inferred evolutionary events per node and cluster as a table<br>
DOI: 10.6084/m9.figshare.12250367.v1
title: Original data of 2018 mental and behavioral survey among adolescents in Hunan, China

description: This study was a cross-sectional survey conducted from April toJuly 2018. The participants were recruited from Hunan Province, China, by using multi-stage cluster sampling.
DOI: 10.6084/m9.figshare.12687893.v2
title: Rayleigh wave phase velocity dispersions and 3D S-wave velocity model of the South China Sea and adjacent regions

description: Rayleigh wave phase velocity dispersions and 3D S-wave velocity model of the South China Sea and adjacent regions from Chen et al. (2020).
DOI: 10.6084/m9.figshare.27247518.v1
title: Biological and physico-chemical data.xlsx

description: Dataset of abundance of Chironomidae taxa with selected physico-chemical parameters in the coastal Lake Jamno in northern Poland. Data were collected in 2010, 2014-2016, 2018-2020.
DOI: 10.17632/3cskdzypxm
title: MHCD_GIETV2

description: Creation of Handwritten Marathi Consonant Character Dataset by Data Collection, Annotation, Bounding Box, Threshold, Augmented and creating images of equal size for research purpose
Marathi Handwritten Character (Consonant) dataset consists of Annotate data that consists of 80, 040 simple character examples of image data. The original scanned images from Handwritten Character were re-sized and normalized to fit in a 128x128 pixel box while preserving their aspect ratio.
Four folders are available:
• Original Images consists of 20, 010
• Grayscale Images consists of 20, 010
• Binary Images consists of 20, 010
• Inverted Images consists of 20, 010
DOI: 10.17632/4ttyd4zxst
title: PaReDiSo: A reaction-diffusion solver coupled with OpenMPI and CVODE

description: Reaction-diffusion systems are ubiquitous in nature, therefore they are widely studied both experimentally and theoretically. The driving force behind reaction-diffusion phenomena can be investigated via numerical modeling. However, in many cases the differential equations describing the systems are stiff, thus small temporal time step and high spatial resolution are required. These conditions result in expensive calculations, which hinders the exploration of such systems.

PaReDiSo, is an open source program, developed to solve any kind of reaction-diffusion systems in two spatial dimensions. The kinetic equations with rate coefficients, the initial and boundary conditions specific to the system have to be provided in a user-friendly manner. Moreover, the frequently used boundary conditions, such as the Neumanm, Dirichlet and periodic boundaries, are built in the software. Due to the utilized CVODE integrator module both stiff and non-stiff equations can be solved. The software enables the user to run the calculations in parallel mode, using multiple CPU threads, since OpenMPI libraries are implemented. Thus, significant decrease in the required calculation time can be achieved.

In this article the algorithm and the usage of the program is presented. The capabilities of the solver are tested on three commonly known reaction-diffusion phenomena: Turing pattern formation, Belousov-Zhabotinsky waves propagation, and diffusive fingering by autocatalysis. The results are validated on experimental and theoretical data found in the literature. Moreover, a performance test was executed, to investigate the extent of acceleration by the parallelization.
DOI: 10.17632/tmrnkh2z9g
title: Romania AI-Driven Energy Impact Dataset

description: AI Articles Web Of Science.csv: This file contains abstracts of the most cited papers on artificial intelligence (AI), which were used to construct a word dictionary based on natural language processing (NLP) analysis.

DID_dataset.dta: This file contains the data and analysis used for the Difference-in-Differences (DiD) methodology, providing insights into the economic impacts of AI adoption in Romania's energy sector.

REFINED_EXT_ROENERGY_NEWS.csv: This file includes news articles related to main companies from Romania's energy sector.
DOI: 10.6084/m9.figshare.1133867.v1
title: Bacillus mycoides and subtilis cell morphology

description: Cells were stained with FM4-64 after direct transfer from solid media containing either 0 or 125uM EDTA. This is a dataset used to generate Figures 3 and 4 in Polka J, Silver PA. (2014) Induced sensitivity of Bacillus subtilis colony morphology to mechanical media compression. PeerJ Preprints https://peerj.com/preprints/452/
DOI: 10.6084/m9.figshare.25271140.v1
title: LC-MS/MS spectrometry analysis of PLCE1.

description: Protein pulldown was performed using a previously reported method (17). Briefly, HEK293 cells were transfected with a plasmid expressing PLCE1-Myc or TAK1. 24 h post-transfection, cells were harvested for preparing total cell lysates, which was then subjected to protein pulldown assay using the Myc-Tag beads (Sepharose® Bead Conjugate; #55464; CST, Beverley, MA, USA). After 4 h-incubation on a rotator, unbound proteins were removed using the ice-cold wash buffer. Finally, the resulting immunocomplex was subjected to LC-MS/MS spectrometry analysis (Shanghai Applied Protein Technology Co., Ltd.). MS/MS spectra were searched using MASCOT engine (Matrix Science, London, UK; version 2.4) against the UniProKB human (161584 total entries, downloaded 20180105).
DOI: 10.6084/m9.figshare.29119337.v1
title: 无标题项目123

description: 12345
DOI: 10.17632/y4wjtntxr8
title: Performance of Photovoltaic Panels with Different Ages Under Outdoor Conditions

description: This dataset, includes measurements of voltage, current, characteristic parameters, temperature, and irradiance of two photovoltaic panels refrences. Seven polycrystalline photovoltaic panels (10 W) with over 10 years of use from the brand ERDM, model Hybrytec 10/12, and a new Restarsolar photovoltaic panel, model RT010P (10 W) were measured. 
The information is organized into two folders: "RawData" and "ProcessedData". The files within the RawData folders contain the voltage [V] and current [A] panel vectors (V and I) delivered by the oscilloscope, as well as the temperature data [°C] and irradiation [W/m2] measured at the time of the test (T and G); on the other hand, the files within the ProcessedData folder include the voltage [V] and current [A] data of the panel necessary to reproduce the I-V and P-V curves (V and I) and some data of interest extracted from the curves I-V, P-V, such as the open circuit voltage (Voc) [V], short circuit current (Isc) [A], maximum power point current (Impp) [A], maximum power point voltage (Vmpp) [V] and power in that point (Pmpp) [W].
This dataset could be used in studies to compare the performance of different parameter estimation methods of circuit models of photovoltaic panels, they could help to develop predictive models for energy generation and enhance the accuracy of photovoltaic simulations and additional experimentation and comparative analysis could be conducted to examine the PV power degradation rate based on the electrical parameters of the tested datasets.
The names of the files in the “RawData” folders follow the format: RefCurve_yyyy-mm-dd_s_hhmmss.Wfm.csv; and the "ProcessedData" files corresponds to each panel reference and panel number: ERDM_Px.mat (where x refers to panel number).
DOI: 10.17632/8mr5pgnbn5
title: Data for: Synthesis and evaluation of 89Zr-labeled and long-lived GLP-1 receptor agonists for PET imaging

description: Appendix B. PET imaging 3D rendered images. 1. PET 3D of 4-89Zr 2. PET 3D of 5-89Zr
DOI: 10.17632/whdgyc7j5z
title: Data for: Consumer Demand for Ethical Products and the Role of Cultural Worldviews: The Case of Direct-Trade Coffee

description: Full dataset
DOI: 10.6084/m9.figshare.10026707.v1
title: Supplementary Material for: Clinically Node-Negative Parotid Gland Cancers: Prognostic Factors of Survival and Surgical Extent

description: <b><i>Objective:</i></b> Conservative parotidectomy is known to reduce morbidity, but has been rarely examined in patients with clinically node-negative (cN0) parotid cancers. We evaluated the clinicopathological variables influencing the outcomes of these patients and the efficacy of conservative parotidectomy. <b><i>Methods:</i></b> We reviewed the clinical and pathological data of 256 patients with cN0 parotid carcinomas who underwent curative surgery at our institution. Of these, 110 and 146 underwent conservative and total parotidectomy, respectively, with 83 undergoing elective neck dissection and 135 receiving postoperative radiotherapy. Univariate and multivariate analyses of variables predicting recurrence-free survival (RFS) and overall survival (OS) were performed. Morbidity, survival, and recurrence rates were compared between the conservative and total parotidectomy groups. <b><i>Results:</i></b> The 5-year RFS and OS rates in all patients were 85.7 and 91.4%, respectively. Multivariate analysis showed that advanced T classification, positive resection margin, and high-histologic grade were independent prognostic factors for both RFS and OS. Among the 201 patients with low- or intermediate-grade parotid cancers, those who underwent total parotidectomy had a greater chance of facial nerve paralysis than those who underwent conservative parotidectomy (<i>p</i> &lt; 0.001). The 5-year RFS and OS after conservative parotidectomy (93.7 and 100%, respectively) were not worse than those after total parotidectomy (85.5 and 90.9%, respectively). <b><i>Conclusion:</i></b> Patients with cN0 parotid cancers may be stratified by histological grade and T classification. Conservative parotidectomy may be suitable for early T1–2 low- or intermediate-grade tumors if a resection margin is secured.
DOI: 10.6084/m9.figshare.22298203.v1
title: Table 2. Descriptive analysis of study variables

description: <strong>Table 2. Descriptive analysis of study variables</strong>
DOI: 10.6084/m9.figshare.25706553.v1
title: <i>Trachydiscus_minutus_CCALA_838</i>

description: Transcriptome assembly of <i>Trachydiscus minutus</i> CCALA 838
DOI: 10.17632/rpz4bbt6mf
title: Data for: Foreign Ownership and Skill-biased Technological Change

description: We conduct an empirical investigation into the effects of foreign ownership on worker skills using firm-level data from Spain. To control for endogeneity bias due to selection into foreign ownership, we combine a difference-in-differences approach with a propensity score weighting estimator. Our results provide novel evidence that foreign-acquired firms actively raise the skills of their workforce in response to the acquisition by hiring high-skilled workers and providing worker training. To pin down the mechanism, we exploit unique information on whether firms use their foreign parent in exporting to foreign markets. Our results suggest a fundamental role for market access through the foreign parent in explaining skill upgrading in foreign-acquired firms. We reveal substantial productivity gains within foreign-acquired firms and we show that these gains derive from a concurrent effort to raise worker skills and adopt more advanced technology, suggesting a skill bias in technological innovations. We develop a simple theoretical model of foreign ownership featuring technology-skill complementarities in production that can rationalize our findings.
DOI: 10.6084/m9.figshare.19704178.v1
title: genotypic and phenotypic data

description: genotypic and phenotypic data <br>
DOI: 10.6084/m9.figshare.3510400.v1
title: Supplement 1. Programs, user manual, and sample input and output files.

description: File List AllFoldersFiles_Example.txt AllPictures_Example.txt Harris_Thompson_Childs_Sanderson_CamTrapProgram_DataAnalyze.f90 Harris_Thompson_Childs_Sanderson_CamTrapProgram_DataOrganize.f90 Harris_Thompson_Childs_Sanderson_CamTrap_UserManual.pdf Input_Example.txt Output_Example.txt Description AllFoldersFiles_Example.txt file is generated in the command prompt window. It is a structured text file listing all folder names, locations, and the imagery files within them. Harris_Thompson_Childs_Sanderson_CamTrapProgram_DataOrganize.f90 is the data creation program in Fortran. This program reads "AllFoldersFiles_Example.txt" and generates "Input.txt" and "AllPictures.txt" AllPictures_Example.txt is a list of all image files that are labeled with the location name, species name, year, month, day, hour, minute, second, and number-of-individuals. This can be imported and stored by a spreadsheet such as Excel. Input_Example.txt file is example input for the analysis program. Harris_Thompson_Childs_Sanderson_CamTrapProgram_DataAnalyze.f90 is a Fortran program used to analyze the camera trap images (Reads "Input.txt" and "AllPictures_Example.txt"). Harris_Thompson_Childs_Sanderson_CamTrap_UserManual.pdf is a manual containing the detailed steps necessary for generating a common format for labeling, storing, sharing, and subsequently analyzing information gained from camera traps. Output_Example.txt file is example output from the analysis program.
DOI: 10.17632/k684ksw33k
title: PRISMA Flow chart of PubMed search process to identify relevant articles for review

description: A PubMed search yielding 268 articles, 245 of which were screened out according to the inclusion and exclusion criteria: 1) randomized control trials, 2) published between January 2000 and January 2023, 3) written in English, 4) focused on patients with psoriasis treated with biologics or other drugs, and 5) inclusive of patients which had non-melanoma skin cancer as an adverse effect. 23 articles were eligible for this review.
DOI: 10.17632/rzy96j8tt5
title: Data for: Bioconcentration and translocation of heavy metals in the soil-plants system in Machangqing copper mine, Yunnan Province, China

description: Heavy metal concentration of various organs of P. massoniana and P. yunnanensis
DOI: 10.6084/m9.figshare.19306772.v2
title: Supplementary File S2b – EDTA GFF3 annotation of repeat sequences in the scaffolds

description: This file contains the repeat elements identified by Extensive de novo TE Annotator (EDTA) in the <i>O. australiensis</i> Keep river genome assembly. It is in the format of a GFF3 and maps to the assembly when scaffolded using the supplied AGP file (Supplementary File S1a).
DOI: 10.6084/m9.figshare.22318522.v2
title: vfillDL: A geomorphology deep learning dataset of valley fill faces resulting from mountaintop removal coal mining (southern West Virginia, eastern Kentucky, and southwestern Virginia, USA)

description: <strong>scripts.zip</strong> <br> <strong>arcgisTools.atbx:</strong> <strong>terrainDerivatives</strong>: make terrain derivatives from digital terrain model (Band 1 = TPI (50 m radius circle), Band 2 = square root of slope, Band 3 = TPI (annulus), Band 4 = hillshade, Band 5 = multidirectional hillshades, Band 6 = slopeshade). <strong>rasterizeFeatures</strong>: convert vector polygons to raster masks (1 = feature, 0 = background). <br> <strong>makeChips.R</strong>: R function to break terrain derivatives and chips into image chips of a defined size. <strong>makeTerrainDerivatives.R</strong>: R function to generated 6-band terrain derivatives from digital terrain data (same as ArcGIS Pro tool). <strong>merge_logs.R</strong>: R script to merge training logs into a single file. <strong>predictToExtents.ipynb</strong>: Python notebook to use trained model to predict to new data. <strong>trainExperiments.ipynb</strong>: Python notebook used to train semantic segmentation models using PyTorch and the Segmentation Models package. <strong>assessmentExperiments.ipynb</strong>: Python code to generate assessment metrics using PyTorch and the torchmetrics library. <strong>graphs_results.R</strong>: R code to make graphs with ggplot2 to summarize results. <strong>makeChipsList.R</strong>: R code to generate lists of chips in a directory. <strong>makeMasks.R</strong>: R function to make raster masks from vector data (same as rasterizeFeatures ArcGIS Pro tool). <br> <strong>vfillDL.zip</strong> <br> <strong>dems</strong>: LiDAR DTM data partitioned into training, three testing, and two validation datasets. Original DTM data were obtained from 3DEP (https://www.usgs.gov/3d-elevation-program) and the WV GIS Technical Center (https://wvgis.wvu.edu/) . <strong>extents</strong>: extents of the training, testing, and validation areas. These extents were defined by the researchers. <strong>vectors</strong>: vector features representing valley fills and partitioned into separate training, testing, and validation datasets. Extents were created by the researchers.
DOI: 10.17632/k38fpdt345
title: Unemployment data - India with projections for 2026

description: The code analyzes unemployment rates across Indian states and union territories, providing both current data and future projections6. Here's a breakdown:

Data Source: The primary data, sourced from the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation (MoSPI), reflects unemployment rates for individuals aged 15 years and above16. The survey period spans from June 2022 to July 20236.

2022-23 Unemployment Rates: The unemployment rate in India was 3.2%6. The data reveals variations across regions, with some states exhibiting significantly higher rates than others56. For example, in December 2023, Haryana had the highest unemployment rate, while Odisha reported one of the lowest5.

Recent Trends: Several reports indicate a decreasing trend in India's unemployment rate67. The unemployment rate for individuals aged 15 years and above has decreased to 3.1% in 20233. This decline is observed in both males and females, as well as in urban and rural areas1.

Pandemic Recovery: The improvement in the employment situation is attributed to the recovery from the COVID-19 pandemic, with increased economic activity following the easing of lockdown restrictions13.

Future Projections: The code estimates unemployment rates for 2026, projecting a rise based on an assumed annual growth rate4. However, these projections should be interpreted cautiously, considering other forecasts suggest varying trends4.

Data Interpretation Considerations: Data from the Centre for Monitoring Indian Economy (CMIE) indicates different unemployment rates and trends compared to the PLFS data45. It's important to consider the source and methodology when interpreting unemployment statistics6.

State-wise Analysis: State-specific data provides valuable insights into regional disparities in employment56. Factors such as economic policies, industrial development, and demographic characteristics can influence unemployment rates in different states5.
DOI: 10.6084/m9.figshare.12733055.v2
title: Raw data-Dana Masyarakat 2019

description: Raw data the prurity of DNA
DOI: 10.6084/m9.figshare.15156834.v2
title: Vertical offsets of normal fault scarps at the Paka and Silali volcanoes, Northern Kenya Rift, derived from the TanDEM-X science DEM. GIS dataset.

description: This dataset contains a shapefile with a point dataset of all vertical offsets that have been extracted along normal fault scarps at the Paka and Silali volcanoes, Kenya, using the TanDEM-X science DEM and a scarp-height-extraction tool.The tool is available at: 10.6084/m9.figshare.15156954<i><br></i><i>This is a companion dataset to the following publication, which we kindly ask you to cite if you use this dataset:<br>Riedl, S., Melnick, D., Njue, L., Sudo, M., & Strecker, M. R. (2022). Mid-Pleistocene to recent crustal extension in the inner graben of the Northern Kenya Rift. Geochemistry, Geophysics, Geosystems, 23, e2021GC010123.</i><br><b>Contents:</b><br><i>readme.md </i>- Detailed description of files and shapefile attributes<br><i>tandemx_scarpheights_pt.*</i> - Point Shapefile<br><i>scarp-height-profiles.pdf</i> - Data visualization: Figures of <i>scarp length vs vertical offset</i> for each analyzed fault scarp<br>
DOI: 10.6084/m9.figshare.833330.v1
title: 熵：一个不是物理量的概念

description: 论文《熵：一个不是物理量的概念》的英文版《Entropy : A concept that is not a physical quantity》已发表在国际期刊Physics Essays [物理文集] [2012年（总25卷）第2期] 上。 英文版（原文）下载网址： http://blog.sciencenet.cn/home.php?mod=space&uid=543672 熵：一个不是物理量的概念 张 树 风 中南大学物理学院 Email: uhsgnahz@126.com 摘 要 论证了“熵”不是物理量，即，不存在所谓的“熵”这个物理量。 当定义热机效率为:η= W/ W1 ,令元可逆循环为TV循环（即斯特令（stirling）循环），如果 ∮dQ/T =0 成立，我们可以证明 ∮dW/T =0,∮dE/T =0 同样成立。 如果认为∮dQ/T=0, ∮dW/T=0 和∮dE/T=0 定义了新的系统状态量，就显示出这样的定义应该是荒谬的。 “熵”的根本错误在于，任意可逆过程中多方过程函数Q不是T的单值函数，P-V图应该是P-V-T图，∑[(ΔQ)/T)] 写为∫dQ/T这关键一步是不成立的，即，∮dQ/T=0不成立。同样，∮dW/T=0 和 ∮dE/T=0 也都不成立。 由于玻尔兹曼所的绝对“熵”是用来解释克劳修斯“熵”的，玻尔兹曼“熵”的单位（J/K）也是从克劳修斯“熵”移植来的，克劳修斯“熵”不存在也就同时否定了玻尔兹曼“熵”。 关键词：熵、热力学、统计物理学
DOI: 10.17608/k6.auckland.4557340.v1
title: SCoA-I Data Files

description: The SPSS data file containing the data information collected from the SCoA-I questionnaire administered in 2003. <br><br>The AMOS data files are the confirmatory factor analysis input for the SCoA-I data set. <br><br>Results were published in:Brown, G. T., & Hirschfield, G. H. (2007). Students' Conceptions of Assessment and Mathematics: Self-Regulation Raises Achievement. <i>Australian Journal of Educational & Developmental Psychology</i>, <i>7</i>, 63-74.
DOI: 10.6084/m9.figshare.13141328.v1
title: Ha et al. 2020

description: Data and scripts to reproduce data presented in Ha et al. 2020. Any issues please contact us at k.ha@mail.utoronto.ca