Find research datasets worth reusing

Identifying Chern numbers of superconductors from local measurements

This repository contains the following: 1. Data for Fig.1b <ul> <li>phase_diagram_gap_and_kf_in_0.1_12_e0_in_-0.8_0.8.txt</li> </ul> 2. Data for Fig.6a <ul> <li>Chern_marker_scaling_vs_N_x_abs_C.1_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt</li> <li>Chern_marker_scaling_vs_N_x_abs_C.2_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt</li> <li>Chern_marker_scaling_vs_N_x_abs_C.3_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt</li> </ul> 3. Data for Fig.6b <ul> <li>Chern_marker_scaling_vs_V_0_abs_C.1_gap_balanced_aver.0.2192_kf_3.67900_e0_0.35400_gap0_0.30374_bandwidth_1.70100.txt</li> <li>Chern_marker_scaling_vs_V_0_abs_C.2_gap_balanced_aver.0.2192_kf_2.87600_e0_0.28800_gap0_0.13449_bandwidth_1.56362.txt</li> <li>Chern_marker_scaling_vs_V_0_abs_C.3_gap_balanced_aver.0.2192_kf_3.48700_e0_0.16200_gap0_0.15893_bandwidth_1.34522.txt</li> </ul> 4. Shiba model test dataset <ul> <li>Shiba_lattice_dataset.json</li> </ul>

opencc-by-4.0Jan 2017View details →

FIRST ABSOLUTE GRAVITY MEASUREMENTS IN HAITI DURING NOVEMBER 2016

This report contains the preliminary results of absolute gravity measurements carried out in Haiti in November 2016 at three locations: Port-au-Prince, Jacmel and Fond des Blancs

Data release for "Updated T2K measurements of muon neutrino and antineutrino disappearance using 3.6E21 protons on target"

This data release accompanies the results of T2K's analysis of muon neutrino and antineutrino oscillation data collected between 2010 and 2020. The file format is ROOT and contains the best-fit point and the 68% and 90% confidence level contours in the oscillation parameters space investigated by the analysis. The results for both mass ordering are included. Each entry in the file is a TGraph described in DataReleaseNuMuAntiNuMuDis.pdf. This is in <a href="https://doi.org/10.1103/PhysRevD.108.072011">Physical Review D </a>and available on the <a href="https://arxiv.org/abs/2305.09916">arXiv:2305.09916 [hep-ex]</a>.

Human STING is a proton channel (Live-cell GALT pH Measurement upon STING agonist treatment with or without C53)

hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to GALT constructed based on designs reported in Linders et al. ACS Chem. Biol. 2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed  and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550), 1 µM diABZI (Invivogen, #tlrl-diabzi),  20  µg/mL cGAMP (Invivogen, #tlrl-nacga23-1) with 5 ng/µL digitonin (Promega, #G9441) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to  37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3  (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection. Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.

Human STING is a proton channel (Live-cell MGAT pH Measurement upon STING agonist treatment with or without C53)

hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT constructed based on designs reported in Linders et al. ACS Chem. Biol. 2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed  and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550), 1 µM diABZI (Invivogen, #tlrl-diabzi),  20  µg/mL cGAMP (Invivogen, #tlrl-nacga23-1) with 5 ng/µL digitonin (Promega, #G9441) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to  37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3  (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection. Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.

Human STING is a proton channel (Live-cell MGAT STING WT or S53L pH Measurement upon STING agonist treatment with or without C53)

hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT constructed based on designs reported in Linders et al. ACS Chem. Biol. 2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. Cells then were transduced with pXPR023 (lentiCRISPRv2) expressing an sgRNA targeting STING and selected with 0.1 µg/mL puromycin for 5 days. Finally, cells were transduced with blasticidin-STING-HA (WT or S53L) and selected using 10 µg/mL blasticidin HCl for 5 days. BJ1 SEP-mRuby3 STING-HA (WT or S53L) cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed  and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM diABZI (Invivogen, #tlrl-diabzi) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to  37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3  (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection. Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.

Human STING is a proton channel (Live-cell MGAT, GALT, and LAMP1 pH Measurements Upon BafA1 and diABZI treatment)

hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT, GALT, or LAMP1 constructed based on designs reported in Linders et al. ACS Chem. Biol. 2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed  and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550),  or 1 µM diABZI (Invivogen, #tlrl-diabzi). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to  37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3  (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection. Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment (except for replicate 1, which omitted the final timepoint). Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.

opencc-by-4.0Mar 2023View details →

A Comparison of Passive and Active Dust Sampling Methods for Measuring Airborne MRSA in Pig Farms

Study Abstract: Authors: Anne Rittscher, Abel A. Vlasblom, Birgitta Duim, Peter Scherpenisse, Isabella van Schothorst, Inge M. Wouters, Liese Van Gompel, Lidwien A.M. Smit      Methicillin resistant strains of Staphylococcus aureus (MRSA) are resistant to most b-lactam antibiotics. Pigs are an important reservoir of livestock associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Teflon filters. Paired dust samples using  EDCs and GSP samplers, totaling 87 samples, were taken from seven Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (femA, nuc, mecA) and total bacterial count (16S rRNA) were quantified using quantitative Real Time PCRs. MRSA could be measured in all stationary pump samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson’s correlation coefficient r=0.94, Not Normalized; Pearson’s correlation coefficient r=0.84). This study suggests that EDCs can be used as an affordable and easily standardized method for quantifying airborne MRSA levels in the pig farm setting.

modeled and measured diffuse and diffuse fraction of PAR range

Csv file with the diffuse fraction of PAR (modeled and measured), diffuse component of PAR (modeled and measured), and clearness index in the PAR and Total ranges.

opencc-by-4.0Nov 2020View details →

Figure 2. Dental measurements taken from the left M and the right M1 in A New Species of Extinct False Vampire Bat (Megadermatidae: Macroderma) from the Kimberley Region of Western Australia

Figure 2. Dental measurements taken from the left M and the right M1, based on Hand (1985).

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Prescribed fire is an effective restoration measure for increasing boreal fungal diversity

Intensive forestry practices have had a negative impact on boreal forest biodiversity, subsequently, the need for restoration is pressing. Polypores (wood-inhabiting fungi) are key decomposers of dead-wood, but due to the lack of coarse woody debris (CWD) in forest ecosystems, many species are threatened. Here, we study the long-term effects on polypore diversity of two restoration treatments; creating CWD by felling whole trees and prescribed burning. This large-scale experiment is located in spruce-dominated boreal forests in southern Finland. The experiment has a factorial design (n=3) including three levels of created CWD (5, 30 and 60 m3 ha-1) crossed with burning or no burning. In 2018, 16 years after the initiation, we inventoried polypores on ten experimentally cut logs and ten naturally fallen logs per stand. We found that overall polypore community composition differed between burned and unburned stands. However, only red-listed species' abundances and richness were positively affected by prescribed burning. We found no effects of CWD levels created mechanically by felling of trees. We show, for the first time, that prescribed burning is an effective measure for restoring polypore diversity in late-successional Norway spruce forest. Burning creates CWD with certain characteristics that differ from what is created by CWD-restoration by felling trees. Prescribed burning promotes primarily red-listed species, demonstrating its effectiveness as a restoration measure to promote diversity of threatened polypore species in boreal forest. However, as the CWD that the burning creates will decrease over time, to be functional, prescribed burns need to be applied regularly at the landscape scale. Large-scale and long-term experimental studies, such as this one, are invaluable for establishing evidence-based restoration strategies.

opencc-zeroMay 2023View details →

Measurement of layer thicknesses with an improved optimization method for depolarizing Mueller matrices

Measurement and simulation data of layer thickness standards

Compact RINEX dataset of: Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site

Compact-RINEX files (Hatanaka-compressed format) for each day of the deployment. Sampling frequency is 1 Hz.

opencc-zeroMay 2023View details →

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Data From: Laisk measurements in the non-steady-state: tests in plants exposed to warming and variable CO2 concentrations

Light respiration (RL) is an important component of plant carbon balance and a key parameter in photosynthesis models. RL is often measured using the Laisk method, a gas exchange technique that is traditionally employed under steady-state conditions. However, a non-steady-state dynamic assimilation technique (DAT) may allow for more rapid Laisk measurements. In two studies, we examined the efficacy of DAT for estimating RL and the parameter Ci* (the intercellular CO2 concentration where rubisco's oxygenation velocity is twice its carboxylation velocity), which is also derived from the Laisk technique. In the first study, we compared DAT and steady-state RL and Ci* estimates in paper birch (Betula papyrifera) growing under control and elevated temperature and CO2 concentrations. In the second, we compared DAT-estimated RL and Ci* in hybrid poplar (Populus nigra L. x P. maximowiczii A. Henry 'NM6') exposed to high or low CO2 concentration pre-treatments. The DAT and steady-state methods provided similar RL estimates in B. papyrifera, and we found little acclimation of RL to temperature or CO2; however, Ci* was higher when measured with DAT compared to steady-state methods. These Ci* differences were amplified by the high or low CO2 pre-treatments. We propose that changes in the export of glycine from photorespiration may explain these apparent differences in Ci*.

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The Mammal Dental Metrics Database: a compilation of fossil and extant mammal tooth measurements

Fossil relative abundance data in combination with specimen-level measurements can reveal community-level changes underpinning long-term ecological and evolutionary dynamics. However relative abundance data is not consistently reported in the paleontological literature, and measurement data is presented in individual studies in varying formats. Here, we compiled dental measurements (tooth crown length, width, and height) from the paleontological literature (or otherwise available sources) in a single database, simultaneously permitting analyses of size and relative abundance for the fossil record. This first version of the database focuses on large mammals and on the African and Arabian Neogene fossil record. Measurements of teeth of extant species were also collected. Each row gives the available measurements for a single tooth. Specimens with multiple teeth reported are divided among several rows. Taxonomic information was entered largely as given in the original source, without standardization or revision of taxonomic identifications. Geographic, stratigraphic, and assemblage information was also collected for fossil specimens, and specimens were assigned to individual 'computational localities' (normally combinations of geological unit and location) that can be treated as paleo-communities (metacommunities). Numeric ages and geographic and geological information for these localities are given in a corresponding spreadsheet. Sources are given for all measurement and age data. This dataset provides a powerful new resource for investigations of changes in relative abundance, body mass, or mass-abundance distributions in the fossil record.

opencc-zeroMay 2023View details →

opencc-by-4.0Sep 2019View details →

Absolute Gravity Measurements at the Alpine Research Centre in Obergurgl (Austria) in June 2019

This report contains the results of absolute gravity measurements carried out at Alpine Research Centre (University of Innsbruck) in Obergurgl in June 2019. The absolute gravimeter FG5X#216 was operated by Olivier Francis and Sajad Tabibi from the University of Luxembourg. The measurements are part of an on-going research collaboration between the Geophysics Laboratory of the University of Luxembourg and Christian Ullrich from the Bundesamt für Eich- und Vermessungswesen (BEV, Federal Office of Metrology and Surveying) in Vienna, Austria. It is the third time we measured at this site. Measurements were previously performed in June and September 2018.

Brightness vs t of a LED connected to a RC circuit measured using a smartphone light meter

Brightness vs t of a LED connected to a RC circuit measured using the light meter of a "Xiaomi Redmi Note 8T" smartphone.

opencc-by-nc-4.0Jun 2023View details →

The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations

Before reading this file, make sure you have read the README.1.pdf file. That file also contains information about the license these materials are distributed under. Versions <ul> <li>Version 2: This is the current version. To cite this version specifically, use DOI 10.5281/zenodo.7997063. In this version we fixed some naming mistakes in the files (in 8 of the files the sentence was identified as <code>t2</code> instead of <code>s2</code>), and added two missing stimuli (<code>t5_neutral_t2_u04.wav</code> and <code>t5_sad_t1_u05.wav</code>).</li> <li>Version 1: This was the initial version. To cite that version specifically, use DOI 10.5281/zenodo.3689710.</li> </ul> The latest version of the EmoHI material can be downloaded from <a href="https://doi.org/10.5281/zenodo.3689709">https://doi.org/10.5281/zenodo.3689709</a>. Please always check that you have the latest version, and that you comply with the current license requirements. The EmoHI Test The EmoHI Test was developed to measure the accuracy at which participants can recognize vocal emotions based on pseudospeech sentences that were produced in a happy, angry sad, or neutral manner. The EmoHI Test recordings are particularly suitable for testing hearing-impaired populations due to their high sound quality. All recordings, including the ones that were used in Nagels et al. (2020, PeerJ, <a href="https://doi.org/10.7717/peerj.8773">doi: 10.7717/peerj.8773</a>), are made available here. The stimuli were recorded in an anechoic room at a sampling rate of 44.1 kHz. The microphone was placed at a distance of approximately 30 cm (12 in) from the speaker. The recordings were made by connecting a standing Røde NT1 microphone to a Presonus TubePre V2 preamplifier and a TASCAM DR-100 portable digital recorder. The gain of the recordings was adjusted for each emotion production using the preamplifier to record the stimuli at an intensity level that was approximately the same across emotions to reduce large intensity differences between the recordings of different emotions. The files are not RMS equalized. Citation When using this repository in your research, please cite the repository itself. For this version: <blockquote> Nagels L., Gaudrain E., Hendriks P., & Başkent D. (2023, June 2). The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations. Version 2. Zenodo. <a href="https://doi.org/10.5281/zenodo.7997063">https://doi.org/10.5281/zenodo.7997063</a> </blockquote> Also cite the PeerJ article that describes the material: <blockquote> Nagels L., Gaudrain E., Vickers D., Matos Lopes M., Hendriks P., Başkent D. (2020). Development of vocal emotion recognition in school-age children: The EmoHI test for hearing-impaired populations. PeerJ 8:e8773 <a href="https://doi.org/10.7717/peerj.8773">https://doi.org/10.7717/peerj.8773</a> </blockquote> Sound file name structure The sound files are named using the following convention: <code>t[1-6]_{emotion}_s{1,2}_u[01-18].wav</code> <ul> <li><code>t[1-6]</code> represents the talker who produced the stimulus: <code>t1</code>, <code>t2</code>, <code>t3</code>, <code>t4</code>, <code>t5</code>, or <code>t6</code></li> <li><code>{emotion}</code> is the label of the emotion that was produced: <code>neutral</code>, <code>happy</code>, <code>angry</code>, or <code>sad</code></li> <li><code>s{1,2}</code> is the pseudospeech sentence that was used: <code>s1</code> for "Koun se mina lod belam." <code>s2</code> for "Nekal ibam soud molen."</li> <li><code>u[01-18]</code> is the utterance number: Number ranging from <code>u01</code> to <code>u18</code></li> </ul> For instance, <code>t1_happy_s2_u01.wav</code> is utterance 1 of talker <code>t1</code> producing emotion "happy" using sentence 2. Talker demographic information The table below gives an overview of the voice characteristics from the talkers who produced the EmoHI test stimuli. <table> <thead> <tr> <th scope="col">Talker</th> <th scope="col">Age (years)</th> <th scope="col">Gender</th> <th scope="col">Height (m)</th> <th scope="col">Mean F0 (Hz)</th> <th scope="col">F0 range (Hz)</th> </tr> </thead> <tbody> <tr> <td>t1</td> <td>48</td> <td>f</td> <td>1.72</td> <td>253.14</td> <td>179.97 – 421.81</td> </tr> <tr> <td>t2</td> <td>36</td> <td>f</td> <td>1.68</td> <td>302.23</td> <td>200.71 – 437.38</td> </tr> <tr> <td>t3</td> <td>27</td> <td>m</td> <td>1.85</td> <td>166.92</td> <td>100.99 – 296.47</td> </tr> <tr> <td>t4</td> <td>45</td> <td>m</td> <td>1.90</td> <td>149.41</td> <td>96.97 – 274.72</td> </tr> <tr> <td>t5</td> <td>25</td> <td>f</td> <td>1.63</td> <td>282.89</td> <td>199.49 – 429.38</td> </tr> <tr> <td>t6</td> <td>24</td> <td>m</td> <td>1.75</td> <td>167.76</td> <td>87.46 – 285.79</td> </tr> </tbody> </table> Supporting data The behavioural data from the PeerJ article is accessible at <a href="https://doi.org/10.34894/BDMX6D">https://doi.org/10.34894/BDMX6D</a>.

opencc-by-4.0Jun 2019View details →

Absolute Gravity Measurements in the Mass Laboratory of ILNAS in Capellen, Luxembourg

This report contains the results of absolute gravity measurements carried out in the Mass Laboratory of ILNAS in Capellen, Luxembourg. The measurements took place on the floor tile next to the pillar where the mass comparators are installed. The absolute gravimeter FG5X#216 was operated by Olivier Francis from the Geophysics Laboratory of the University of Luxembourg which is also a Designated Institute (DI) for gravity by the Bureau Luxembourgeois de Métrologie (BLM).