de Zwart, Felix · Gehr, Noah · Landis, Joel · et al.

61 rows × 6 cols · 3.9 KB · csv, zip

5 numeric · 1 text

Computational dataset for conformer analysis of Schrock catalyst as described in the related manuscript.

Carmichael, Alexander Frederick Bethune · Boerlage, Annette S.

14 rows × 2 cols · 17 KB · xlsx

2 categorical

This example dataset accompanies the decision support tool "Salmon Mortality Monitor"

XIN, Mengni

9 rows × 9 cols · 27 KB · xlsx

7 numeric · 2 categorical

Supplementary materials for the article "Who Writes about Brazil-China? Epistemic Sovereignty and South-South Knowledge Asymmetries in Global International Relations". The files include the source-specific search strategy, discourse-analysis sample metadata, processed figure data, coding scheme, and aggregate counts supporting the bibliometric mapping and discourse analysis.

Alago, Doris · Alt, Rainer · OBUBA, ROBERT

31 rows × 12 cols · 18 KB · xlsx

12 categorical

The dataset presents raw data used to perform analysis and report the findings on the use of digital platforms for student career management

Paduano, Angelo · Scarano, Francesco · Casalino, Damiano · et al.

200 rows × 10 cols · 39 KB · csv, jpeg

10 numeric

The interaction between acoustic waves and turbulent grazing flow over an acoustic liner is investigated using Lattice-Boltzmann Very-Large-Eddy simulations. A single-degree-of-freedom liner with 11 streamwise-aligned cavities is studied in a grazing flow impedance tube. The conditions replicate reference experiments from the Federal University of Santa Catarina. The influence of grazing flow (with a centerline Mach number of 0.32), acoustic wave amplitude, frequency, and propagation direction relative to the mean flow is analysed. Impedance is computed using both direct (i.e. the in-situ method) and model-fitting inference (i.e. the mode-matching method) methods. The former reveals strong spatial variations; however, averaged values throughout the sample show minimal differences between upstream and downstream propagating waves, in contrast to what is obtained with the latter method. Flow analyses reveal that the orifices displace the flow away from the face sheet, with this effect amplified by acoustic waves and dependent on the wave propagation direction. Consequently, the boundary layer displacement thickness ($\delta^*$) increases along the streamwise direction compared to a smooth wall and exhibits localised humps downstream of each orifice. The growth of $\delta^*$ alters the flow dynamics within the orifices by weakening the shear layer at downstream positions. This influences the acoustic-induced mass flow rate through the orifices at equal Sound Pressure Level, suggesting that acoustic energy is dissipated differently along the liner. The asymmetry of the flow field experienced by the acoustic wave, depending on its propagation direction, highlights the need to consider a spatially evolving turbulent flow when studying the acoustic-flow interaction and measuring impedance.

Habr, Jiří · Novák, Jan · Behalek, Lubos · et al.

30 rows × 11 cols · 1.5 MB · csv, xlsx

11 categorical

Dataset projektu TAČR SS07020411 "Efektivní využití plastového odpadu v automobilovém průmyslu".

Balcı, Meriç

31 rows × 18 cols · 13 KB · xlsx

18 categorical

This dataset contains the raw experimental data underlying the manuscript entitled "Lead-Induced Nutrient Imbalance and Biochar-Mediated Nutrient Homeostasis Responses in Purslane (Portulaca oleracea L.)". The dataset includes replicate-level measurements of plant growth parameters, shoot Pb concentration, and macro- and micronutrient concentrations under different lead and biochar treatments.

Małek, Dariusz · Czarnoleski, Marcin · Brudny, Małgorzata · et al.

6 rows × 2 cols · 22 KB · xlsx

2 categorical

Raw data - survival monitoring of male C. maculatus beetles after exposure to 5L/min flow of either Synthetic air or CO2 for 8,12,18 or 27 minutes

Blumenthal, Margo

6 rows × 7 cols · 242 KB · xlsx

7 categorical

This dataset accompanies the bachelor thesis: Changing Discourse: A Political-Linguistic Analysis of Official EU-Australia Communications Before and After the implementation of the Framework Agreement in 2022.

Yuan, Guangyuan

72 rows × 13 cols · 6.0 KB · csv, fasta

11 numeric · 2 categorical

This dataset supports the findings of the manuscript "Root anatomical traits modulate the assembly and nitrogen transformation potential of root-associated microbiomes in a temperate steppe" (NPH-MS-2026-55667). It contains root traits data, bacterial 16S rRNA gene absolute abundances, functional genes relative abundances, DNA extraction metadata, and phylogenetic marker sequences for 37 plant species from a temperate steppe ecosystem. The dataset includes the following files: 1. root traits.csv - Root traits including average diameter (AD), specific root length (SRL), specific root area (SRA), root tissue density (RTD), root nitrogen content (RNC), root carbon content (RCC), carbon‑nitrogen ratio (RCN), cortex layer number (CLN), cortex thickness (CT), and the ratio of cortex thickness to root diameter (CTRD). The first column lists plant species names. 2. Absolute abundance of 16S rRNA gene.csv - Quantitative PCR (qPCR) derived absolute abundances of bacterial 16S rRNA gene copies (copies/ng DNA) across different root compartments (rhizosphere, rhizoplane, endosphere), host species, root orders, and cotyledon classes (monocot/dicot). 3. DNA extraction sample weight.csv - Fresh weight (grams) of root material used for DNA extraction for each sample, linked by SampleID to the abundance data. 4. DNA extraction concentration.csv - Qubit‑measured DNA concentrations (ng/μL) and the sample volume (μL) used for quality control, together with sample metadata. 5. 37species.fasta - DNA sequences of two chloroplast markers (matK and rbcL) for the 37 plant species included in the study. The sequences are in FASTA format with headers formatted as ">Species". These were used for host phylogeny construction and Pagel's λ analyses. 6. Quantitative PCR results of functional gene.csv - Quantitative PCR (qPCR) derived relative abundances of bacterial 16S rRNA gene and functional genes across different root compartments (rhizosphere, rhizoplane, endosphere), host species, root orders, and cotyledon classes (monocot/dicot). 7. README.md - A detailed description of each file, column headers, abbreviations, units, and any missing value codings (NA). All data are provided to ensure transparency and reproducibility of the analyses. For methodological details, please refer to the Materials and Methods section of the associated publication. These data are under embargo until the associated research article is published. After that date, they will be freely available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. During the embargo period, the metadata (title, authors, abstract) and the DOI remain publicly visible, but the data files are not accessible. For access requests before the embargo expires, please contact the corresponding author.

Budzinski, Lisa · Beenken, Anne Elisabeth · Sempert, Toni · et al.

9 rows × 1 cols · 743 B · csv, docx, zip

1 categorical

We have investigated an IgG4-RD (IgG4-RD) cohort by our multi-parameter microbiota flow cytometry approach to characterise the microbiota on single-cell level for attributes of the disease. The microbiota is isolated from stool samples and stained according to the published protocol for (a) host immunoglobulins IgA1, IgA2, IgM, IgG and (b) agglutinin binding to mannose, galactose or N-Acetyl-glucosamine surface sugar moieties. For all samples we also determined the microbiome composition by 16S rRNA (V3-V4) sequencing on the illumina MiSeq platform. We provide the raw .fcs and FASTQ files of 40 IgG4-RD patients. For comparison we additionally analysed 36 healthy donors. All .fcs files were generated on BD Influx®. The metadata is collected in the provided meta.csv. The staining parameters are summarized in provided panel.csv.

OSMI Working Group 2: Understanding the open science monitoring landscape · Szybisty, Tereza · Yahia Mohamed Elkheir, Lamis

819 rows × 35 cols · 159 KB · xlsx

27 categorical · 8 text

This dataset contains a community-curated inventory of Open Science monitoring initiatives compiled by Working Group 2 (WG2) of the Open Science Monitoring Initiative (OSMI). The dataset aims to provide a structured overview of initiatives that monitor and evaluate the implementation, uptake, and impact of Open Science across different geographical regions, disciplines, and organisational contexts. The Open Science monitoring initiative, following the OSMI definition, is defined as an initiative that: Publicly and regularly monitors and evaluates trends or impacts related to open science policies, mechanisms, interventions, and/or incentives; May use quantitative, qualitative, or mixed-methods approaches; Monitors the degree of openness of scientific processes and outputs such as publications, software, or research data, and ideally also covers other pillars of Open Science (e.g. citizen science, economic or societal impact), across multiple stages of the research cycle. The first version of this dataset was created collaboratively by members of OSMI Working Group 2, who identified, consolidated, and described Open Science monitoring initiatives based on their expertise and knowledge of the global landscape. Following this initial compilation, the dataset was opened for public consultation, inviting the wider Open Science community to review the inventory, suggest additional initiatives, and propose corrections or improvements. We are grateful to everyone who contributed their time and expertise during this consultation, helping to make the dataset more comprehensive and representative. The dataset is intended to be a living resource and will continue to evolve as the Open Science monitoring landscape develops. Future versions will incorporate newly identified initiatives, metadata updates, and community feedback. We welcome suggestions for additional monitoring initiatives or improvements to existing records. If you would like to contribute, please contact the OSMI Working Group 2 co-chairs. Contact information is available on the OSMI website. For more information about the methodology and the activities of Working Group 2, see: WG2. Understanding the open science monitoring landscape - Open science monitoring initiative - OSMI

Gómez Maqueo Anaya, Sofía · Dos Santos Souza, Eduardo José · Fomba, Khanneh Wadinga · et al.

116 rows × 16 cols · 7.0 KB · csv

11 categorical · 5 numeric

The dataset consists of three files: In-situ-NorthAfrica-compilation.csv : This file contains a compilation of in situ datasets used to produce the initial scatterplots comparing modeled and measured mineral mass fractions. All values are given as mass fraction percentages (%). The first column lists the authors associated with each published measurement. Elemental_CM-DUSTRISK-Praia.csv : This file includes the updated elemental mass concentration measurements used for comparison against the DUSTRISK2022 dataset. Measured total mass is reported in μg/m³, while elemental concentrations are given in ng/m³. The COSMO-MUSCAT outputs are identified by the prefix "CM" and are reported in μg/m³. "SD" denotes standard deviation. All variables ending in "_frac" represent mass fraction percentages (%). measurements_and-CM_compilation-JATAC2022.csv : This file contains measured elemental and the updated mineral mass fractions used for the results presented in the subsections 5.1.2 "Comparison with JATAC 2022" and 5.2.1 "JATAC 2022" . Particle size classes correspond to the MUSCAT size bins (see Table 1 of the associated manuscript) and are provided in separate columns following the format "X##", where X denotes the mineral or element and ## corresponds to MUSCAT bins (i.e., 01, 03, 09, or 26). Modeled values are provided in columns starting with "CM". The prefixes "CI025" and "CI975" denote the lower and upper confidence intervals, respectively.

Zamora, Esteban · Perez de Lara, David · Guidi, Luca · et al.

164 rows × 70 cols · 94 KB · csv, xlsx

70 numeric

Dataset corresponding to the figures of the article: Esteban Zamora-Amo, et al. "Ultra-Conformal memristors for on-skin electronics".

Mirzaie, Farzad

16 rows × 11 cols · 9.8 KB · xlsx

11 categorical

Data for all figures of paper https://doi.org/10.1039/D5RE00551E

Bonaventura, Leonardo · CIURLUINI, Cristiano · Giannetti, Fabio

27 rows × 8 cols · 6.5 MB · xlsx

8 categorical

This work was carried out by the Nuclear Engineering Research Group of Sapienza University of Rome, within the framework of the Euratom EASI-SMR project. It was focused on the development of a dataset referred to a SMR-like nuclear system, called E-LOOP-SMR. The dataset can be adopted to fully characterize the reactor thermal-hydraulic behavior during normal operations. It also includes a preliminary layout of the safety systems needed to cope with main selected accidental scenarios (DBCs). An update with the DEC-A systems is planned to be released ASAP.

Jungmyoung, Son · Sihoon, Lee · Jiyeon, Hong

3 files · 20 KB · docx, xlsx

This dataset provides the complete double-coding matrix, PRISMA 2020 checklist, and search strategy supporting the systematic review "Representation-to-AI Transformation in K-12 Generative AI Learning: A Theory-Building Systematic Review of Semantic Transformation Mechanisms." It includes: (1) study-level tier classification (Core/Supporting/Context) for two independent coders and consensus tier for all 18 included studies; (2) the full semantic transformation unit (STU) coding matrix (18 studies x 10 STUs = 180 cells) with pre-consensus and consensus scores; (3)evidence-weighting consensus scores; (4) inter-rater reliability statistics (Cohen's kappa); (5) the completed PRISMA 2020 checklist; and (6) the full database-specific Boolean search strategy.

Siccardi, Eugenia · Volanti, Virginia Amanda · Coppi, Andrea · et al.

999 rows × 26 cols · 500 KB · xlsx

23 categorical · 2 text · 1 numeric

Putri Lenggo Genni · Tavasya Alia Anjani · Muhammad Fasha Asshofa

3 files · 2.8 MB · csv, pdf, xlsx