ABRIL, SILVIA · Àlex, López Cerdà · Mara, Moreno-Gómez
hybrid · semantic + lexical · 974 datasets ranked · 1.25s
ABRIL, SILVIA · Àlex, López Cerdà · Mara, Moreno-Gómez
360 rows × 1 cols · 8.5 KB · csv
1 text
This repository contains the raw data supporting the manuscript Seasonal variation in bait attractiveness among six Mediterranean pest ant populations: implications for toxic bait development , currently under peer review. The study evaluates seasonal variation in bait attractiveness among six Mediterranean pest ant species by comparing worker recruitment to three artificial bait formulations differing in macronutrient composition. Experiments were conducted under field conditions during autumn 2024 and spring 2025. Each row of the dataset represents one bait offered during one experimental replicate. The response variable corresponds to the number of worker ants feeding on that bait 90 minutes after bait placement.
Devi, Monika · Nesterovschi, Ion · Riedesel, Svenja · et al.
253 rows × 6 cols · 22 KB · xlsx
6 numeric
In this study, Radioluminescence (RL), Raman and Fourier Transform Infrared (FTIR) spectroscopy analyses were used to investigate the relationship between structural disorder and self-trapped exciton (STE) luminescence in natural quartz grains measured over a temperature range of 8-300 K. The investigated samples originate from diverse geological settings with crystallisation ages spanning from Ma to Ga and include two granites, one metamorphosed granite and two sedimentary samples. The RL spectra exhibit a dominant blue emission band centred at ~2.6 eV, attributed to STE emission, which disappears at higher temperatures (> 200 K). Analysis of RL intensity as a function of temperature (50-150 K) using an Arrhenius model yields quenching energies in the range of 22-46 meV. The variation of full width at half maximum (FWHM) with temperature was modelled to estimate phonon energies, which ranged from ~10 to 47 meV. Raman spectroscopy reveals systematic shifts and broadening of the 127 cm -1 and 203 cm -1 bands, indicating variations in lattice strain and structural disorder. FTIR measurements further demonstrate progressive changes in the structural organisation of the Si-O-Si framework through variations in structural order index derived from the 778 cm -1 and 692 cm -1 vibrational bands. Well-ordered natural quartz samples exhibited higher quenching and phonon energies, narrow RL, Raman and FTIR bands and higher FTIR structural order indexes, indicating more stable STEs than the structurally disordered natural quartz samples. Compared to synthetic quartz reported in the literature, natural quartz samples exhibit broader RL emission bands, lower quenching energies and earlier thermal quenching, reflecting a higher degree of structural disorder and defect concentration. The combined RL, Raman, and FTIR results demonstrate that STE emission in natural quartz is strongly controlled by lattice disorder and geological history, confirming the critical role of exciton-phonon interactions in determining STE luminescence behaviour.
Pérez-Mejías, Carlos · Moreno, Ana
74 rows × 22 cols · 44 KB · xlsx
16 categorical · 6 text
This dataset contains data from three stalagmites: HOR (Ejulve cave) and MO-1 and MO-7 from Molinos cave. New speleothem records from northeastern Iberian caves provide data to explore the climatic patterns during the Holocene. We present δ 13 C and Mg/Ca from three speleothems from two different caves located in the Iberian Range allowing replication of the climatic signal for several millennia. Through the integration of those stalagmites covering since the Holocene onset to 2 ka, the early Holocene (11.7-8.5 ka) appears as the wettest interval. A marked change towards aridity is observed during the middle Holocene (8.5-4.8 ka) and an increase of humidity afterwards (4.8-2 ka). This three-part pattern, contrasting with other Iberian sequences, seems to be associated with the different role that seasonality has played in the response of different proxies (or records) to changes in water availability. Interpreting our speleothem records as changes in winter-spring precipitation along the Holocene allows reconciling previous data on hydrological variability from the western Mediterranean borderlands.
Beghini, Marianna · Scherer, Thomas
110 rows × 6 cols · 98 KB · xlsx
3 text · 3 categorical
This file contains all data used for the analyses and figures presented in this publication
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.
Hubbard, Alfred · Solares, Edwin · Hemming-Schroeder, Elizabeth
88 rows · 18 KB · fasta
These are the files needed to run the Broad Institute's malaria amplicon pipeline for the PvGAP Plasmodium vivax panel, described in detail here . They consist of FASTA files containing the forward and reverse primers and another FASTA file containing reference sequences for each target, derived from the PvP01 reference genome.
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.
Li, Zhiyao · Wang, Ningbo · Zhong, Jiahao
6 files · 48 MB · docx, zip
GIFT-BDS is a regional ionospheric total electron content (TEC) and TEC-gradient dataset over China derived from BeiDou geostationary Earth orbit (GEO) observations and a dense ground-based GNSS receiver network. The dataset is designed to provide high-resolution observations of ionospheric TEC variability and horizontal TEC-gradient structures over China and adjacent regions. The versioned release covers the period from 19 July 2024 to 31 December 2025, corresponding to DOY 201 of 2024 to DOY 365 of 2025. The geographical coverage is 15°N-50°N and 95°E-135°E. The dataset is provided in daily NetCDF files and contains two product levels. Level-1 products provide observation-level GEO-derived slant TEC (STEC) and rate of TEC index (ROTI) records for individual receiver-GEO satellite lines of sight, with a temporal resolution of 30 s. Level-2 products provide gridded regional TEC and TEC-gradient variables, including VTEC, VTEC t , ROTI, GIX, GIX std , GIX x , GIX y , GIX t,x , and GIX t,y , with a temporal resolution of 15 min. IPP-based variables are provided on a 1° × 1° grid, while inter-IPP-gradient variables are provided on a 0.25° × 0.25° grid. The main processing steps include observation screening, cycle-slip and data-gap detection, continuous-arc segmentation, carrier-to-code leveling, satellite and receiver DCB correction, IPP calculation, inter-IPP pair selection, gradient estimation, and gridding. Quality control is applied before release. Missing values may occur because of station outages, data gaps, quality-control exclusions, or insufficient valid samples within a grid cell. Users should check the NetCDF variable attributes, including units and fill values, before analysis. The dataset is suitable for regional ionospheric studies, TEC-gradient monitoring, space-weather-related analyses, and investigations of ionospheric effects on GNSS positioning applications.
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".