cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3550059.v1
title: Appendix B. Root frequencies and measures of shoot biomass for two Yellowstone National Park grasslands.

description: Root frequencies and measures of shoot biomass for two Yellowstone National Park grasslands.
DOI: 10.6084/m9.figshare.20603268.v1
title: BPO calculations

description: This document contains a set of five sheets with calculations, underpinning the BPO theory. <br> A short description about how this spreadsheet is to be used and interpreted can be found in Annex B of my book "Monkeys do not die as lizards".
DOI: 10.6084/m9.figshare.5296264.v1
title: Test item

description: this is just a test file
DOI: 10.6084/m9.figshare.3552000.v1
title: Appendix A. Histogram of foraging-trip duration in chick-rearing Little Penguins.

description: Histogram of foraging-trip duration in chick-rearing Little Penguins.
DOI: 10.17632/hkhvksr37m
title: Temporal genomic analysis of homogeneous tumor models reveals key regulators of immune evasion in melanoma

description: Low intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, even highly homogeneous tumors are variably aggressive, and the immunological factors impacting aggressiveness remain understudied. Here, we analyzed the mechanisms underlying immune-escape in murine tumors with low ITH. We used immunophenotyping and single-cell RNA sequencing to compare the temporal growth of in-vivo transplanted, genetically similar rejected vs. non-rejected single-cell clones. Non-rejected clones showed high infiltration of tumor-associated macrophages (TAMs), lower T-cell infiltration, and increased T-cell exhaustion compared to rejected clones. Comparative analysis of rejection-associated gene expression programs, combined with in-vivo CRISPR knockout screens of candidate regulators, identified Mif (macrophage migration inhibitory factor) as a major contributor to immune rejection. Mif knockout resulted in smaller tumors and reduced immunosuppressive macrophage infiltration. These results were validated in melanoma patient data. Overall, our homogeneous tumor system can uncover factors regulating growth variability and identifies Mif as critical in aggressive melanoma.

We profiled the tumor microenvironment of mice transplanted with rejected and non-rejected tumor clones at 10 days post tumor inoculation using CyTOF. We also compared Mif KO and control non-rejected clones using CyTOF. Raw CyTOF data were first bead normalized to remove acquisition sensitivity-related influences on marker expression using Fluidigm’s software. Normalized data were uploaded to the Flowjo analysis platform to identify single, live cells by excluding remaining beads (140Ce and 153Eu) and gating on DNA (193Ir) and viability (195Pt) channels. Next, barcoded cells were assigned back to their initial samples using their unique Cd barcode combination using the MatLab single cell debarcoder.
DOI: 10.6084/m9.figshare.12617138.v1
title: JVASP-9402 to JVASP-10088

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.5128270.v1
title: Supplementary Material for: Anti-Social Behaviors Associated with Anabolic-Androgenic Steroid Use among Male Adolescents

description: Anabolic-androgenic steroids (AAS) have been linked to a range of problematic behaviors, but AAS use is still sometimes portrayed as more benign than other forms of classical drug abuse. To address this issue, we compared the prevalence of anti-social behaviors among adolescent AAS users, non-AAS illicit drug users, and drug non-users. We examined 3 waves (2004, 2008, and 2012) of self-reported cross-sectional data from a secondary school survey conducted in Stockholm, Sweden (total n = 19,773; response percentage, 79.6%). Across all survey years, the risk ratios for virtually all measured anti-social behaviors were significantly higher among AAS users compared to non-AAS illicit drug users and to drug non-users.
DOI: 10.17632/yn84h8jhxc
title: Bursa Malaysia IPO data 2004-2021

description: The dataset covers a timeframe spanning from January 2004 to December 2021, with an initial sample of 493 Initial Public Offerings (IPOs). Several exclusion criteria were applied to ensure the study's focus remains aligned with its objectives. First, since the study exclusively examines IPOs that utilize the fixed-price method, IPOs employing the book-building method were excluded, resulting in the removal of 39 cases from the original sample. Furthermore, the study investigates explicitly investor behavior within the IPO market, focusing on public issues, offer-for-sale transactions, or hybrid forms of these two categories. Other offerings, such as restricted and special issues, were excluded to avoid generating less meaningful results (Albada et al., 2019a). This step led to the removal of an additional subset of IPOs. Additionally, Real Estate Investment Trusts (REITs) were excluded from the final sample due to their distinct financial statement presentation formats, which differ significantly from those of traditional IPOs. This exclusion resulted in the removal of another 104 IPOs. After applying these rigorous selection criteria, the final study sample comprises 350 IPOs. The data were meticulously collected from multiple sources to explore the signaling role of various ex-ante information factors on IPO initial returns, investor demand, and the information gap. This dataset provides valuable insights into how potential investors can enhance their decision-making processes when evaluating IPOs under conditions of pronounced information asymmetry. Additionally, the dataset offers opportunities for future research, including cross-country analyses that explicitly examine the influence of country-specific factors on underpricing outcomes. The data presented in this article are linked to several research studies, including “An Insight into the Signaling Role of Sharia Status: A Case from an Emerging IPO Market” (Albada, 2024), “Machine Learning Insights: Probing the Variable Importance of Ex-Ante Information” (Albada et al., 2025), and “Determinants of Investor Opinion Gap Around IPOs: A Machine Learning Approach” (Albada et al., 2024).
DOI: 10.23645/epacomptox.6253679.v1
title: Chemistry Dashboard Data: DSSTox QSAR Ready File

description: QSAR ready excel file.
DOI: 10.6084/m9.figshare.28736831.v2
title: Multi-Omics data of beef cattle

description: This study utilized Huaxi cattle and Wagyu as experimental models, this study employed multi-omics and functional validation to construct a multi-layered regulatory network linking genetic variants, gene expression, metabolites,and phenotypic outcomes.
DOI: 10.6084/m9.figshare.3558642.v1
title: Appendix D. Stomach contents of LSR whitefish, perch, and DR whitefish.

description: Stomach contents of LSR whitefish, perch, and DR whitefish.
DOI: 10.6084/m9.figshare.21800850.v1
title: DOM-Microbe interactions

description: This dataset is used to investigate how molecular weight was associated with multifaced DOM ecology in two typical agricultural soils with different fertility.
DOI: 10.6084/m9.figshare.22507342.v1
title: BernBasel2021WDP data

description: The Study "Continuous timely monitoring of core temperature with two wearable devices in pediatric patients undergoing chemotherapy for cancer - a comparison study" (NCT04914702) recruited patients from September 2021 to March 2022 in two Swiss university-based pediatric hematology/oncology centers: Pediatric Hematology/Oncology, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Switzerland and the Department of Pediatric Oncology and Hematology, University Children's Hospital Basel (UKBB), University of Basel, Switzerland.Two different wearable devices (WDs), the CORE® and the Everion®, recorded several vital signs, calculated scores and quality scores. The CORE® recorded core temperature and a corresponding quality score on 4945 of 6720 study hours in 18 of 20 participating patients. The Everion® recorded 18 vital signs and calculated scores, plus six quality scores on 5360 hours in 19 of 20 participating patients. The study period was 14 days for each patient.In addition, non-WD data like side effects, user-friendliness, preference of the different WDs, reasons not to wear a WD, patient and parent satisfaction, effort for the investigators and discrete measurements was collected.Eighteen files, one per patient, contain the WD data of the CORE®. A Readme file for the Core® data explains all the variables.Nineteen files, one per patient, contain the WD data of the Everion®. A Readme file for the Everion® data explains all the variables.One file contains all the non-WD data of all 20 patients on study administration, follow-up and outcomes of the daily CRFs. Another Readme file explains all the variables.One additional file contains the R-script used to download and transform the WD data.
DOI: 10.6084/m9.figshare.23828004.v1
title: Fluorescence data, digitized data, Rabi frequency calibration data, trap position data and trap depth data for "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms"

description: This is fluorescence data, digitized data, Rabi frequency calibration data, trap position data, and trap depth data described from "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms".Finding the maximum independent set (MIS) of a large-size graph is a nondeterministic polynomial-time (NP)-complete problem not efficiently solvable with classical computations but may be suitable for quantum computation. In recent years, there are growing interests in using Rydberg-atom arrays to solve the MIS problem. Here, we report a set of quantum adiabatic computing data of Rydberg-atom experiments performed with up to 141 atoms randomly arranged on the King’s lattice. A total of 582,916 events of Rydberg-atom measurements are collected for experimental MIS solutions of 733,853 different graphs. We provide the raw image data along with the entire binary determinations of the measured many-body ground states and the classified graph data, to offer bench-mark testing and advanced data-driven analyses for validation of the performance of the Rydberg-atom approach as well as system improvements.
DOI: 10.6084/m9.figshare.28546790.v1
title: Supplementary File 3: 50p_AA_SC

description: Supplementary File 3: 50p_AA_SC
DOI: 10.6084/m9.figshare.6671726.v2
title: Antarctic deep-sea sponge microbiota - KEGG pathways

description: Supplementary Data 3<br>KEGG pathways relative abundance table <br>
DOI: 10.17632/9kw6xzmxn3
title: Integrated dataset for red tide (Karenia brevis bloom) patterns on the west Florida shelf 

description: This dataset contains integrated red tide (Karenia brevis harmful algal blooms) maps for the West Florida Shelf (24N – 31N, 87W – 81W) every month between 2003 and 2019. The integration is over in situ water sample analysis (which provides K. brevis cell concentration) and satellite data (which provides more frequent and spatial coverage than in situ data) using a practical approach. In situ cell counts data were obtained from a database maintained by the Florida Fish & Wildlife Conservation Commission (https://myfwc.com/research/redtide/monitoring/database/), and satellite data were collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite, available through NASA’s OB.DAAC (https://oceancolor.gsfc.nasa.gov). They were integrated to generate monthly maps of K. brevis bloom spatial extent and frequency.
Specifically, the maps are expressed as bloom occurrence frequency (BOF) and bloom intensity (BI). The boundary of bloom locations represents the bloom footprint. Both maps are in imagery format (color coded in png files, MODIS_KB_bloom_WFS_images.zip) and binary format (floating point Geotiff files, MODIS_KB_bloom_WFS_binary.zip).
DOI: 10.17632/b5yc9sw7y9
title: The Mediating Role of Self-leadership on Basic Psychological Needs, Academic Self-efficacy and Career Adaptability When Life Satisfaction is Controlled 

description: In this study, a structural model was tested to investigate the mediating role of self-leadership in the relationships between basic psychological needs and career adaptability and academic self-efficacy and career adaptability. When testing the model, the effect of life satisfaction was controlled. 404 university students [67.3% females and 32.7% males] participated in the study. The participants responded to measures of basic psychological needs satisfaction, academic self-efficacy, self-leadership, career adaptability, and life satisfaction. The data was collected online by way of Google Forms from May to July 2021. The participants were accessed by sharing the study link with certain explanations on some courses and requested to share the link with their friends on their social media accounts, which university students follow.
DOI: 10.17632/cyj3r2yhrw
title: Iron ore mines cost incurred pre and post MMDR Amendment Act, 2015

description: As per the Ministry of Mines and other data sources such as FICCI, FIMI, it can be observed that while prior to the Act, in terms of mineral-related payments, an iron-ore mine was paying 15% of sale price to the Government, now old mines are paying 19.8% of sale price (Mine A), and auctioned mines have to pay in the range of 53.50% - 291.80% of sale price (Mine B & C) to the Government. Even with the modest bid of 36.70% in case of iron-ore, a mine has to pay at least share 53.50% of its revenue to the Government, apart from other taxes and levies (NPV) and its own cost of production. Adding the cost of production and all non-mining taxes/levies have resulted in a situation where many of the mineral deposits may become unviable to mine. Since new mining leases can now be granted only through auction (Ministry of Mines, 2015) (as per MMDR Act, 2015), the financial burden on the domestic mining industry is bound to increase significantly, thus increasing the raw material cost of downstream industries and reducing the international competitiveness of Indian minerals/ores as well as finished products.
DOI: 10.6084/m9.figshare.21060442.v1
title: database.rar

description: The architectures are written in Verilog HDL, simulated using IES-XL-15.2 tools, and synthesized using the Genus Synthesis tool-19.1 in 45nm technology with a generic library of Cadence vendor constraints. Power consumption of architectures is calculated with an image size of 64 X 64 and at 20 MHz frequency. Here power, timing, and area reports have been generated.
DOI: 10.17632/74cnkpdzz4
title: The Influence of Paradoxical Leader Behaviors on Employees’ Self-Evaluation: A Conditional Process Analysis Model

description: This study collects questionnaire data from 737 Chinese in-service employees to explore the relationship between paradoxical leader behaviors and core self-evaluation, and also takes the mediating effect of perceived insider status and the regulatory effect of team psychological safety into account. The results show that paradoxical leader behaviors do not only significantly positively affect employees’ core self-evaluation level, but also have a significant positive effect on core self-evaluation level by improving employees’ perceived insider status; in addition, paradoxical leader behaviors can also greatly enhance the influencing relation between them by improving team psychological safety.
DOI: 10.17632/hbm2k47rnx
title: Jiang & Zhang et al. Mol Cell. 2024

description: Raw data for the Jiang & Zhang et al. Mol Cell. 2024.
DOI: 10.6084/m9.figshare.1378362.v1
title: cardiac data 14

description: cardiac data
DOI: 10.6084/m9.figshare.19646721.v2
title: On the damage tolerance of 3-D printed Mg-Ti interpenetrating-phase composites with bioinspired architectures

description: The dataset contains the original datas for tensile properties, theoretical calculation, fracture toughness and impact toughness published in the paper “On the damage tolerance of 3-D printed Mg-Ti interpenetrating-phase composites with bioinspired architectures”.
DOI: 10.6084/m9.figshare.28558343.v1
title: The final dataset of AULI and its components for Statistical Area 1 (2018) is available for download.

description: We present the Auckland Urban Liveability Index (AULI), an indicator that quantifies modern liveability at the neighbourhood level in Auckland. The index comprises 29 variables spanning several components of liveability: social infrastructure, green space, transportation, safety and diversity. Each is documented transparently with accompanying data and code. We find that neighbourhoods with the highest liveability scores have comparatively good public transport provision and are amenable to active travel, reflecting the principles of modern urban densification. Through local modelling frameworks, we provide useful context on the generalisability of index components that supports the transfer of our index to other cities in New Zealand and re-evaluation of our index in light of new data.
DOI: 10.6084/m9.figshare.28964759.v2
title: SRR3414629.uniq.sorted.bam

description: lblDFGDg
DOI: 10.6084/m9.figshare.3531464.v1
title: Appendix B. Geographic and demographic data for host and pathogen by population and survey year.

description: Geographic and demographic data for host and pathogen by population and survey year.
DOI: 10.6084/m9.figshare.13726249.v1
title: Technological Innovation Diffusion Rates

description: Technological innovation market diffusion data.Principal dataset sources.----The Cross-country Historical Adoption of Technology (CHAT) Dataset. No. w15319. National Bureau of Economic Research, 2009. [67]Discovered via Horace Dediu, Clayton Christensen Institute. [68]Note: Only U.S. data was extracted and used.----Comin, D.A., & Hobijn, B. (2004). Cross-country technology adoption: making the theories face the facts. Journal of Monetary Economics 51.1 (2004): 39-83. [69]Discovered via Ritchie, H., & Roser, M. (2017). Technology Diffusion & Adoption. [70]Note: Only U.S. data was extracted and used.----Cox, W. M., & Alm, R. (1997). Time Well Spent: The Declining Real Cost of Living in America. Annual Report Federal Reserve Bank of Dallas, pages 2-24 [71]Derived and built from American Association of Home Appliance Manufacturers; Cellular Telephone Industry Association; Electrical Merchandising, various issues; Information Please Almanac; Public Roads Administration; Television Bureau of Advertising; U.S. Bureau of the Census (Census of Housing; Current Population Reports; Historical Statistics of the United States, Colonial Times to 1970; Statistical Abstract of the United States); U.S. Department of Energy; U.S. Department of Transportation.<br>
DOI: 10.6084/m9.figshare.22300636.v2
title: Supplementary Material - Overview of the global research on dung-inhabiting fungi: trends, gaps, and biases

description: The file contains the supplementary data to Calaça et al's paper "Overview of the global research on dung-inhabiting fungi: trends, gaps, and biases", to the Current Research in Environmental & Applied Mycology (Journal of Fungal Biology). The spreadsheet named 'calaca_dung_fungi' is a database organized from data retrieved from the Web of Science and Scopus databases and merged and cleaned according to the criteria established in the manuscript using the different functions available in the bibliometrix package (Aria & Cuccurullo 2017) for the R environment. In this way, both fonts, style, and formatting of the database in data.dung.fungi, follow the necessary structure for uploading in the R environment using the code: <strong>install.packages</strong>("bibliometrix") + <strong>library</strong>(bibliometrix) + <strong>data </strong>&lt;-<strong>read.csv</strong>("~/desktop/calaca_database_dungfungi.csv") + <strong>M </strong>&lt;- convert2df(data, dbsource = "wos", format = "csv") + <strong>head</strong>(M["TC"])
DOI: 10.6084/m9.figshare.24473005.v2
title: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning: Feature Importance

description: The calculated SHAP values for "Augmented cancer cell map using synthetic multi-omics".
DOI: 10.6084/m9.figshare.25017110.v1
title: Data for "Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait", iScience 2024.

description: Network data, 3D network trajectory data, and PCA data during overground walking in healthy young, healthy older and people with Parkinson's disease. Data were recorded via EEG from left and right sensorimotor cortices and surface EMG from eight leg muscles. We computed time-resolved intermuscular, cortico-muscular, and cortico-cortical coherence across the gait cycle and used orthogonal non-negative matrix factorization to extract brain-muscle networks that span a low-dimensional subspace. By projecting the temporal activations of these networks onto a low-dimensional subspace, we could assess the inter-subject variability in brain-muscle dynamics.
DOI: 10.17632/6gk8s3d8kw
title: Fast Box-counting

description: The box-counting (BC) algorithm is one of the most popular methods for calculating the fractal dimension (FD) of binary data. FD analysis has many important applications in the biomedical field, such as cancer detection from 2D computed axial tomography images, Alzheimer’s disease diagnosis from magnetic resonance 3D volumetric data, and consciousness states characterization based on 4D data extracted from electroencephalography (EEG) signals, among many others. Currently, these kinds of applications use data whose size and amount can be very large, with high computation times needed to calculate the BC of the whole datasets. 
Fast Box-counting is a very efficient parallel implementation of the BC algorithm for its execution on Graphics Processing Units (GPU).
DOI: 10.17632/c5zjgs4y9t
title: Data for: A multiscale reconstructing method for shale based on SEM image and experiment data

description: The multiscale reconstructing method for shale can be used to generate 3D layer representative elementary volume (lREV)-scale digital-experimental models to characterize the multiscale pore structure of the shale by means of the combination of a large area SEM image, nitrogen adsorption and pressure pulse decay experiment result.
DOI: 10.6084/m9.figshare.28229309.v2
title: <b>RNA sequencing of PVSMCs with ASH2L overexpression and mass spectrometry analysis of ASH2L immunoprecipitation</b>

description: <b>1.RNA Sequencing of PVSMCs with ASH2L Overexpression</b>This dataset provides RNA sequencing results from pulmonary vascular smooth muscle cells (PVSMCs) manipulated to either overexpress ASH2L. The main aim was to explore how ASH2L modulation affects the gene expression landscape of PVSMCs<br><b>2.Mass Spectrometry Analysis of ASH2L Immunoprecipitation:</b>This dataset features mass spectrometry data from the immunoprecipitation (IP) of ASH2L in PVSMCs, focusing on identifying proteins that interact with ASH2L in these cells. After ASH2L was immunoprecipitated from the cells, the protein complexes were analyzed by mass spectrometry to uncover potential interacting proteins.
DOI: 10.6084/m9.figshare.5108170.v1
title: Molecular dynamics trajectory for benchmarking MDAnalysis

description: MD trajectory of apo adenylate kinase with CHARMM27 force field and simulated with explicit water and ions in NPT at 300 K and 1 bar. Saved every 240 ps for a total of 1.004 µs. Produced on PSC Anton. The trajectory only contains the protein and all solvent stripped. Superimposed on the CORE domain of AdK by RMSD fitting.<br><br>The topology is contained in the <b>PSF </b>file (CHARMM format). The trajectory is contained in the <b>DCD</b> file (CHARMM/NAMD format).<br>
DOI: 10.6084/m9.figshare.7930232.v1
title: gVCF_HG04033

description: 1000 Genomes gVCF mapped to hs37d5 for HG04033. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307