Find research datasets worth reusing

Chatbots: (S)elected Moderation. Measuring the Moderation of Election-Related Content Across Chatbots, Languages and Electoral Contexts

AI Forensics had <a href="https://aiforensics.org/work/bing-chat-elections">previously exposed</a> that Microsoft Copilot's answers to simple election-related questions contained factual errors 30% of the time. In collaboration with Nieuwsuur, we uncovered how chatbots can recommend and support the dissemination of disinformation as a campaign strategy. Following those investigations as well as a request for information from the European Commission, Microsoft and Google introduced “moderation layers" to their chatbots so that they refuse to answer election-related prompts. This dataset was produced during our investigation aimed at evaluating and comparing the effectiveness of these safeguards in different scenarios. In particular, we investigated the consistency with which electoral moderation was triggered, depending the language of the prompt and the electoral context.

Self broadening measurement and line parameter database CO2 4750-5175 cm-1

Self-broadened CO2 measurements at 294 K and 200 K for pressures up to 40 mbar and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases). The measurement database is in “CO2_self-broadened_measurements_4750-5175cm-1.zip” and the line parameter database in “CO2_self-broadening_line_parameters_4750-5175cm-1_V1.zip”. The readme file is “Measurement database and line parameter database for self-broadened CO2 in the 4750-5175 cm-1 region - Readme.docx”. Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in <a href="https://zenodo.org/records/1009126">ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org)</a>. The systematic uncertainty of the line positions is 3x10-7 cm-1.

Fluid-rock interaction of metamorphic fluids caused base metal mineralization in the Moldanubian domain, Bohemian Massif, Czech Republic – a fluid inclusion study - Supplementary data + measuring conditions

Open the record for dataset details and reuse information.

Measurement database and line parameter database for air- and self-broadened H2O in the 5970-6575 cm-1 region

Air-broadened H2O measurements at 294 K, total pressure range 250-1000 mbar, and self-broadened measurements at 294 K, 10 and 20 mbar, and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases). The measurement database is in “H2O_self-_and_air-broadened_measurements_5970-6575cm-1.zip” and the line parameter database in “H2O_self-_and_air-broadening_line_parameters_5970-6575cm-1.zip”. The readme file is “Measurement database and line parameter database for air- and self-broadened H2O in the 5970-6575 cm-1 region - Readme.docx”. Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in <a href="https://zenodo.org/records/1009126">ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org)</a>. The systematic line position uncertainty is 1.7x10-5 cm-1.

Stress measurements for 42 Mw 4.0-5.4 earthquakes during the 2019 Ridgecrest earthquake sequence

The csv file “Ridgecrest_table2_v1.csv” contains measurements of apparent stress, stress parameter, and corner frequency. EvtID:             Earthquake’s Event ID in Southern California Earthquake Data Center (SCEDC, https://scedc.caltech.edu). Mw:                Moment magnitude AST:               Apparent stress measurements in MPa using a time domain algorithm. AST_STD:    Standard deviation of AST in log10 units. ASF:               Apparent stress measurements in MPa using a frequency domain algorithm. Station terms have been corrected. ASF_STD:    Standard deviation of ASF in log10 units. Brune:           Stress parameter or Brune’s stress drop in MPa Brune_STD: Standard deviation of ASF in log10 units. Note that the uncertainty is estimated using a bootstrap approach. Fc:                  Corner frequency of the geometric mean source spectra Fc_STD:        Standard deviation of Fc in log10 units. Note that the uncertainty is estimated using a bootstrap approach. ASF_sub:     Apparent stress measurements in MPa using a frequency domain algorithm. Unlike ASF, only the stations with station terms less than 3 are used. No correction for station terms. ASF_stack:  Apparent stress measurements in MPa using the geometric mean source spectra. Depth:           Centroid depth in km Vs:                  S wave velocity at the centroid depth in km/s Density:        Density at the centroid depth in Mg/m3

Seefeld Cold-Air Pool Experiment (SEECAP): Meteorological Measurement Data

The Seefeld Cold-Air Pool Experiment (SEECAP) focused on the cross-country skiing area Olympiaregion Seefeld and in particular the topographic setting in the Nordic ski arena which favors the formation of cold-air pools and took place between December 2019 and March 2020. Six automatic weather stations and 41 unventilated temperature sensors were distributed within the valley to gain insight into the spatial structure of the cold-air pool in Seefeld. The study site as well as locations and instrumentation of each station are described in Rudolph (2022) and Rauchöcker et al. (2024d). This upload contains meteorological measurement data associated with SEECAP. WRF simulations were performed for two nights, representing an ideal evolution of the cold-air pool (January 12 and January 13 2020) and a disrupted evolution (January 16 and January 17 2020), respectively. The output data of simulations with snow cover for the night between January 16 and January 17 2020 are published in Rauchöcker et al. (2024a) and in Rauchöcker et al. (2024c) for the night between January 12 and January 13 2020. Simulation output without snow cover is available for the night between January 16 and January 17 2020  in Rauchöcker et al. (2024b). <h3>Automatic Weather Stations</h3> Measurement data of the six automatic weather stations can be found in momaa.zip. The folder includes one file for each station (MOMAA02.dat, MOMAA03.dat, MOMAA04.dat, MOMAA07.dat, MOMAA08.dat and MOMAA10.dat). These stations measured temperature, pressure, humidity, net radiation, wind speed and wind direction at 1-min intervals. A figure showing the location of the different stations is included as well (Stations.pdf); the station names of the automatic weather stations are abreviated in the legend of that figure (e.g. M04 instead of MOMAA04). Incoming and outgoing longwave and shortwave radiation, latent heat flux and sensible heat flux were measured at MOMAA04 and MOMAA08. The radiation data can be found in MOMAA04_rad.dat and MOMAA08_rad.dat and eddy covariance data in MOMAA04_turb.csv and MOMAA08_turb.csv, respectively. <h3>Temperature Sensors</h3> Data from the unventilated temperature sensors can be found in hobos.zip, which contains a file for each sensor and the file names refer to the naming convention in Stations.pdf. Most sensors were located along the valley floor and along a ski jump on its southeastern slope. At nine locations, temperature sensors were mounted at two heights (1 m and 2 m above the ground). File names reflect that height by adding _1m or _2m to the file name (e.g. A_1m.txt and  A_2m.txt). Locations that had only one sensor were named according to the station name (e.g. M.txt). The remaining sensors were used for vertical profiles at 3 different levels of a walk-up tower (TOWER_2m.txt, TOWER_2ndfloor.txt and TOWER_top.txt) and at a bridge (VP; labeled from VP_050.txt at 0.5m above the ground to VP_630.txt at 6.3m). A pseudo-vertical profile for the sensors along the slope of the valley, at the walk-up tower down to the lowest station in the upper basin (top to bottom, M03, S4, S3, S2, S1, M10, G, H, M04) can be found in PseudoProfile_basin.mat.

opencc-by-4.0Jul 2024View details →

Data for: Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids

Data for: "Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids". The photometry provided is after DOLPHOT quality cuts, foreground extinction corrections, and spatial cuts.

Setting up Methane Mitigation Measures for Indian Rice Fields: Representative Emissions and New Interpretations

Setting up Methane Mitigation Measures for Indian Rice Fields: Representative Emissions and New Interpretations Fida Mohammad Sahil, Mukund Narayanan and Idhayachandhiran Ilampooranan* Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India – 247667. *Corresponding Author (Email: idhaya@wr.iitr.ac.in) This repository contains the code and datasets generated in this study accepted in Global Biogeochemical Cycles Journal.

Simulated Real Measure Data In a Birth Cohort

<pre>These data mimic what we can find when observing fetal growth using ultrasounds. </pre> <pre>They are not observed at the same moments in time for each mother-fetus binomial or in the same number of times. </pre> <pre>They are data simulated through a transformation of the Wiener process to the non-homogeneous lognormal diffusion process called Gompertz-lognormal.</pre>

opencc-by-4.0Oct 2017View details →

Global atmospheric particle formation from CERN CLOUD measurements: nucleation rate dataset

Data S1 for paper "Dunne et al, (the CLOUD collaboration), Global atmospheric particle formation from CERN CLOUD measurements, Science 354 6316 (2016). Data contains nucleation rates and chamber conditions (including precursor gas concentrations) for inorganic binary and ternary (H2SO4-H2O) and (H2SO4-NH3-H2O) neutral and ion-induced nucleation measurements presented in the paper. These data were originally attached as supplemental to the paper, but are not currently available on the Science website (as of October 2024).  Relative humidity units are percent. Care is needed to interpret all the data, for example not all ammonia values quoted were measured directly, some are inferred. See the supplementary materials of the paper for more discussion, and users of data at relative humidity other than (38+/-5)% are advised to discuss with the contact author Hamish Gordon. Ion production rate and nucleation rate units are per cm3 per second. The sulfuric acid units can be interpreted by noting that the value of 632 in the first data entry is 6.32x10^8 cm-3.  Please cite the original Science article if you use these data: https://www.science.org/doi/10.1126/science.aaf2649

AstraZeneca ChromLogD and EPSA experimental measurements for Ro5 and bRo5 molecules

These datasets contain a list of 234 and 245 within Rule of Five (Ro5) and beyond Rule of Five (bRo5) molecules that were measured in chromatographic LogD (ChromLogD) and experimental polar surface area (EPSA) experimental assays, respectively, at two AstraZeneca's Research and Development (R&D) sites in Gothenburg, Sweden and Cambridge, United Kingdom. For each molecule, its SMILES representation, molecular weight, ion class, and compound type (Ro5 or bRo5) are provided. Experimental measurements were performed in several replicates, for which a number of replicates, an averaged value, and standard deviation are provided for both R&D sites separately. In addition, the molecules are further characterized by the number of rings, number of rotable bonds, number of H-bond acceptors, number of H-bond donors, and number of Lipinski violations. If a molecule had at least two Lipinski rule violations, it would be labeled as bRo5, else it would be labeled as Ro5.

opencc-by-sa-4.0Oct 2024View details →

Measuring them all: individual-based functional spatial patterns in mountain grasslands

Raw data, additional material and instructions for reproducibility for the article De Benedictis, L.L.M., Chelli, S., Canullo, R., Campetella, G., 2025. Measuring Them all: Individual-Based Functional Spatial Patterns in Mountain Grasslands. Journal of Vegetation Science 36, e70029. <a href="https://doi.org/10.1111/jvs.70029">https://doi.org/10.1111/jvs.70029</a>. Scripts are found in the linked repository.

Limestone and other sedimentary rock catapult balls: Measurement aspects and dating.

Dataset linked to the paper:  Highlighting the Role of Artillery from Massalia Archaeometric Study of Limestone catapult Balls Discovered in Mediterranean Gaul (Early 2nd – mid 1st century BC), by Dominic Vallières, François Fournier, Pierre Rochette, Lionel Marié, to be published in Babesch vol. 100 in 2025.

Ground penetrating radar (GPR) measurements in the Lower Muschelkalk of a limestone quarry in Rüdersdorf near Berlin, Germany 2023

Surface Ground Penetrating Radar (GPR) was used on the exposed limestone of a quarry. Several measurements were carried out using a 200 MHz antenna, including a test field with densely spaced profiles suitable for 3D visualization. The measured features are oriented along boreholes and the actively mined demolition edge. Photographs of the wall face are provided at different stages of mining, which extended into the previously measured test field, revealing its cross section.

A MEMBRANE INLET LASER SPECTROMETER FOR IN SITU MEASUREMENT OF TRIPLE WATER ISOTOPOLOGUES

This dataset contains laboratory test results characterizing the performance of a new instrument designed for in situ measurement of water isotopes. The system combines Optical Feedback Cavity-Enhanced Absorption Spectroscopy (OFCEAS) with a dual inlet pervaporation system.

Measured weather variables and power generation from vertical agrivoltaic installation in Foulum, Denmark

Measured weather variables and power generation from vertical agrivoltaic installation in Foulum, Denmark. Data is recorded every 5 minutes for the period December 2022 to October 2024. See the figure 'summary_clean_data.jpg' for an overview of data availability. Data is collected and curated in the following Github repository: https://github.com/martavp/agrivoltaic_foulum The Agrivoltaic demonstration system is described in the pre-print <a href="https://www.researchsquare.com/article/rs-5358908/v1" rel="nofollow">"Vertical Agrivoltaics in a Temperate Climate: Exploring Technical, Agricultural, Meteorological, and Social Dimensions"</a>

Dissemination of mass and volume by double weighing in air - measurement data

All data related to the measurement. <ul> <li>Files "1kg - ...", "500 g - ..." etc. include measurement reports from the mass comparators</li> <li>Files "podminky_1kg" etc. include dtaa for temperature, pressure and humidity from dataloggers</li> <li>File "Inputs.ods" - all input data including measurements with AT1006</li> <li>File "Inputs-noat1006.xlsx" - all input data without measurements from AT1006</li> <li>File "MCOutput.csv" - Output data from Monte Carlo simulation</li> <li>File "Output.xlsx" - Output data with covariances and correlations</li> <li>File "Output_withAT1006.xlsx" - Output data where AT1006 measurements were used</li> </ul>

Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading

This data set contains all the images, DIC data and python scripts and FE input files that allows the reproduction of all results in the paper "Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading" that this data is linked to.

opencc-by-4.0Nov 2024View details →

Gradual Pressure Error in an HPLC-HRMS Measurement Run

This dataset contains files of a reverse-phase HPLC-HRMS orbitrap measurement run during which the pump pressure gradually got more unstable. While a run was being recorded, the pump for the organic eluent ceased functioning slowly. This resulted in a high amount of new signals appearing in the form of "stripes" at specific retention times. It is intended as a control group for assigned data quality scores, with the reasoning that a highly unstable pressure in the chromatography will lead to more purely noise-induced signals. The relevant pressure profiles are also included. The mzML files were produced from the raw data using MSconvert and only contain the MS1 spectra. The last file in the series (<a href="https://zenodo.org/api/records/14046512/draft/files/20240805_AA_DK_Ibu_pH6_1min_20240808161549.raw/content" target="_blank" rel="noopener noreferrer">20240805_AA_DK_Ibu_pH6_1min_20240808161549</a>) remains incomplete since the instrument shut off halfway through the measurement.