Find research datasets worth reusing

restrictedJul 2021View details →

25 new long-term variables in the GX 339-4 field: two years of MeerKAT monitoring

These are the radio light curves for the 25 new long-term variable sources found in weekly ThunderKAT monitoring of the low-mass X-ray binary GX 339-4 with MeerKAT. These data are part of a publication submitted to Monthly Notices for the Royal Astronomical Society (Driessen et al., submitted) and part of Laura's Driessen PhD thesis (the jodrell Bank Centre for Astrophysics, the University of Manchester, UK). The observations are MeerKAT L-band observations. Each epoch is approximately 10-15 minutes long, these are the first two years of weekly monitoring, from September 2018 to the end of August 2020. The light curves have been extracted from the images using the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR Transients Pipeline (TraP)</a>. Each file contains the information for a single source. The files are formatted with columns as follows: <ul> <li>mjd: the modified Julian Date (MJD) of the observation. The MJD is given by MJD=JD-2400000.5 where JD is the Julian Date</li> <li>f_int_median_scaled_Jy: the flux density of the source in Jansky (Jy) determined by the LOFAR TraP, after the systematic correction model has been applied (see Driessen et al. 2021)</li> <li>f_int_median_scaled_err_Jy: the uncertainty on f_int_median_scaled_Jy in Jansky determined by the LOFAR TraP, after the systematic correction model has been applied (see Driessen et al. 2021)</li> <li>freq_eff_Hz: the effect frequency in Hertz (Hz)</li> <li>median_scaled_eta: the chi squared variability parameter for the source in the specified frequency band/subband. This parameter is defined in Driessen et al. 2021, Swinbank et al. 2015 and on the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR TraP website</a></li> <li>median_scaled_V: the modulation variability parameter for the source in the specified frequency band/subband. This parameter is defined in Driessen et al. 2021, Swinbank et al. 2015 and on the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR TraP website</a></li> <li>name: this is the name of the source as defined in Driessen et al. 2021</li> <li>subband: this file contains the light curve of the source from multi-frequency synthesis (MFS) imaging of the full MeerKAT L-band (from 856 to 1712 MHz) epochs, plus 8 subband images with central frequencies: 909, 1016, 1123, 1230, 1337, 1444, 1551 and 1658 MHz. This column shows which subband or MFS the values in the row are from</li> </ul> The files were made using the Pandas package, so we recommend Python users load them using  <pre><code class="language-python">import pandas as pd pd.read_csv(filename, comment='#') </code></pre> If you use the data shared here please ensure that you cite the MNRAS paper (Driessen at al. submitted) and the Zenodo DOI: 10.5281/zenodo.5069119.   The MeerKAT telescope is operated by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation. LND acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694745).

restrictedDec 2022View details →

Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 1.2 entitled "Report on the tools for monitoring and assessing ecotoxicity"

Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Groundwater, sediment, soil and wastewater samples from the potential ELECTRA model sites were tested, and a recommendation was made for the appropriate ecotoxicity test battery to be applied for each matrice. This dataset is supplementary to Deliverable 1.2 Report on the tools for monitoring and assessing ecotoxicity.

restrictedJan 2023View details →

Dataset related to article "Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study "

This record contains raw data related to article “Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study" Abstract Objectives: To test the hypothesis that patients under active surveillance (AS) for Non-muscle Invasive Bladder Cancer (NMIBC) who were negative on longitudinal re-testing by the Xpert® Bladder Cancer Monitor (Xpert BC Monitor) assay may avoid unnecessary cystoscopies and urine cytology (UC). Subjects/patients or materials and methods: This is a prospective cohort study of patients enrolled in the AS protocol for recurrent NMIBC (Bladder Cancer Italian Active Surveillance, BIAS project), whose urine samples were analyzed by Xpert BC Monitor upon entry in the study (T0). Patients who had a negative Xpert test and did not fail AS, underwent additional Xpert tests after 4 (T1), 8 (T2), and 12 (T3) months. The clinical utility of Xpert was assessed by determining the number of cystoscopies and UC that could be avoided within 1 year. Results: Overall, 139 patients were tested with Xpert at T0. Median follow-up was 23 (IQR 17-27) months. Sixty-eight (48.9%) patients failed AS, 65 (46.7%) are currently on AS, and 6 (4.3%) were lost at follow-up. At T0 57 (41.0%) patients had a negative test and 36 (63.2%) are still in AS. In patients with 2 consecutives negative Xpert tests, we could have avoided 73.9% of unnecessary cystoscopies, missing 26.4% failure, up to avoid all cystoscopies with 4 negative tests missing only 12% of failure. All the patients with negative Xpert had negative UC. Failure-free-survival at median follow-up (23 month) stratified for having 0, 1, or ≥2 negative tests was 67.0, 55.1. and 84.1, respectively. Conclusion: Our findings suggest that Xpert BC Monitor assay, when it is longitudinally repeated, could significantly reduce the number of unnecessary cystoscopies and UC during their follow-up.

restrictedJan 2023View details →

IR monitoring of battery laser welding

This dataset includes data from two experimental campaigns carried out in the context of the ZELD-e project [https://zeld-e.eu/] during 2021 & 2022. Each experimental campaign includes data from a high-speed IR camera which monitors the welding of Al & Cu battery pouch-cell tabs and the corresponding measurements of the joints' electrical contact resistance and mechanical strength (tensile shear tests). This work was partially supported by EIT Manufacturing and co-funded by the EU, through project ZELD-e. For purchasing and downloading the dataset, please contact Prof. Stavropoulos: pstavr@lms.mech.upatras.gr

restrictedJan 2023View details →

Labeled passive acoustic monitoring dataset from Danum Valley Conservation Area, Sabah, Malaysia

This is the data archive for labeled training, validation and test data from a passive acoustic monitoring project in Danum Valley Conservation Area, Sabah, Malaysia. Please refer to Clink et al. (2023) and our <a href="https://github.com/DenaJGibbon/Workflow-for-automated-detection-and-classification-gibbon-calls">GitHub Page</a> for details and code. "AnnotatedFilesTest" "AnnotatedFilesValidation" "TestSoundFiles" "TrainingFilesValidated" "TrainingFilesValidatedAddFemales" "TrueFalsePositives" "UpdatedDanumDetectionsHQ99"        "ValidationSoundFiles"

restrictedMay 2023View details →

Dataset for building the dashboard for monitoring oral health services in Primary Health Care in Brazil

It is an unprecedented digital technology that provides indicators of oral health, calculated using data from the Sistema de Informação em Saúde para a Atenção Básica (SISAB) from 2016 onwards, at the municipal, state, regional, and national disaggregation levels. The monitoring dashboard was set up in the following stages: the creation of spreadsheets for mapping the data source; configuration files for the extracted SISAB data to calculate the indicators; scripts to orchestrate automated extraction; storage of calculated indicators in an analytical database hosted on Google Cloud; and double validation (manual and automated). Within the panel, accessible via URL, the 53 previously validated indicators from the dimensions of "Provision and Management of Oral Health Services" were made available for the free access in graphs, maps, and tables that allow for geographic, temporal, population size, and Human Development Index comparisons. The dashboard proves to be a valuable tool for the qualification and use of SISAB data. Automating information and its periodic dissemination will promote the culture of monitoring, making it a daily practice for oral health professionals, reducing the fragmentation of health information, and expanding the evaluative capacity of managers and healthcare professionals in Primary Health Care. Access the dashboard: <a href="https://lookerstudio.google.com/u/0/reporting/86c09403-f4a0-4625-ad1f-239daa77f6a2/page/p_jdtr4yn74c">Dashboard_oral health</a>

restrictedMay 2023View details →

Non-public 5G Network End-to-end Monitoring Test Results

Test results of a non-public 5G network end-to-end monitoring architecture implementation.

restrictedJun 2023View details →

Plot level results of the monitoring programme on strict forest reserves in Flanders (Belgium) – vegetation

This dataset comprises vegetation data from the monitoring program on strict forest reserves in Flanders (Belgium). The collection and processing methodology for the data are described in <a href="https://purews.inbo.be/ws/portalfiles/portal/41050863/Vandekerkhove_etal_2021_MonitoringProgrammeOnStrictForestReservesFlanders.pdf">Vandekerkhove et al., 2021</a>. The dataset includes data from 947 square plots of 16 x 16 m, distributed across 15 different forest reserves. The data covers one to three consecutive forest inventories conducted with a 10-year interval. The "plotinfo.csv" file contains precise coordinates of the plot centres, forest reserve names, survey numbers, survey years, and other relevant variables. Detailed descriptions of these variables can be found in the "_metadata_plotinfo.xlsx" file. The "vegetation_by_plot.csv" file provides data on a per-plot basis, including the number of species in the herb layer, cumulative coverage of all species in the herb layer, and total cover of the moss layer, herbaceous layer, shrub layer (2-8m height), and tree layer (> 8m height). Since 2015, the percentage of bare soil resulting from disturbance by game is also recorded. The "herblayer_by_plot.csv" file contains per-plot data on the coverage of each vascular plant species estimated using the Londo scale. Data on browsing has been included since 2015. For descriptions of the variables used in these files, please refer to the "_metadata_plotlevel_results_veg.xlsx" file.   For any inquiries or further information, please contact Kris.vandekerkhove@inbo.be or Anja.leyman@inbo.be.The provided csv-files will be updated if required to address any issues or include data from additional surveys. Please check for updated versions periodically. For terms of use, please see below.

restrictedApr 2023View details →

A Dataset for Evaluating and Validating Blood Perfusion Monitoring During an Occlusion Protocol: Multi-spectral and Plethysmography data

The dataset contains multispectral images and PPG data from 45 subjects who underwent an occlusion protocol  to induce changes in blood perfusion in the dominant hand. All the partipiants signed an informed consent. Blood perfusion Blood perfusion refers to the passage of oxygen and other nutrients through the circulatory system. We look to provide data for the evaluation of non-invasive approaches based on multi-spectral images. PPG reference data from the thumb is provided for validation purposes. Occlusion Protocol The occlusion protocol for each participant lasts around 10 minutes. The participants were seated, and their superior limbs were extended on a table.  An automatic blood pressure monitor measured their systolic and diastolic pressures. A blood cuff was placed in their dominant arm, and a PPG sensor MAX30102 (Maxim Integrated, CA, United States) was placed in their thumb finger.  A multispectral camera was positioned above to record the hand palm throughout the protocol. The camera employed is a CMS-V1-C-EVR1M-USB3 (SILIOS Technologies SA., France), which records 9 multispectral channels in the VNIR region of the spectrum. . The protocol is divided into 5 stages, each one lasts 2 minutes. <ol> <li>Start: No pressure is applied</li> <li>Vascular Occlusion: a fixed pressure of 60 mmHg is applied through the blood cuff</li> <li>Rest: The pressure is liberated</li> <li>Total Occlusion:  A pressure equal to the initial systolic pressure plus 20 mmHg is constantly applied.</li> <li>Hyperemia: The pressure is released.</li> </ol> Data available: The multispectral datasets for each subject are contained in a P#.7z file. Single-channel images are included. The name of each file specifies the participant ID, the time (minutes_seconds_milliseconds) of the acquisition with respect to the start of the occlusion protocol, the multispectral dataset, and the corresponding multispectral channel. Example: the following file name specifies a file for participant number 21. The data was captured at 9 minutes and 59.5290 seconds after the start of the occlusion protocol. The image corresponds to the first channel (the count starts at 0). P21_09_59_5290_d02459_channel0.png Files containing masks for each dataset are available for the whole hand region (hand_masks.7z) and the middle finger (finger_masks.7z). Finger masks for participants with a lot of movement are not available. The PPG data is stored in a simple csv file with txt extension for each participant. It contains the Red and Infrared channel data as well as the acquisition time of each sample. The PPG data for all the participants are contained in the compressed file PPG.7z. Reference multispectral images for calibration are also provided in the file Calibration.7z. This file contains multispectral images with the cap on (Dark_Reference) plus three folders with reference images taken during the same session as the participants.  reference_set_A:  = P1 to P10 reference_set_B:  = P11 to P30 reference_set_C:  = P31 to P45 each folder contains multispectral images of different white reference materials which can be employed for different calibration methods:  WhiteA = white tile  WhiteB = white reference bar  WhiteP = sheet of white paper WhiteT = Teflon (PTFE) sheets The participant’s data is summarized in the next table. <table> <tbody> <tr> <td> ID </td> <td> Age </td> <td> Gender </td> <td> Skin type </td> <td> Systolic Pressure </td> <td> # Multi-spectral Datasets </td> </tr> <tr> <td> P1 </td> <td> 20 </td> <td> M </td> <td> 4 </td> <td> 109 </td> <td> 2,456 </td> </tr> <tr> <td> P2 </td> <td> 20 </td> <td> M </td> <td> 3 </td> <td> 129 </td> <td> 2,458 </td> </tr> <tr> <td> P3 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 117 </td> <td> 2,460 </td> </tr> <tr> <td> P4 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 110 </td> <td> 2,454 </td> </tr> <tr> <td> P5 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,458 </td> </tr> <tr> <td> P6 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 111 </td> <td> 2,471 </td> </tr> <tr> <td> P7 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 91 </td> <td> 2,462 </td> </tr> <tr> <td> P8 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 102 </td> <td> 2,474 </td> </tr> <tr> <td> P9 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 113 </td> <td> 2,468 </td> </tr> <tr> <td> P10 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 108 </td> <td> 2,461 </td> </tr> <tr> <td> P11 </td> <td> 18 </td> <td> M </td> <td> 4 </td> <td> 137 </td> <td> 2,461 </td> </tr> <tr> <td> P12 </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 132 </td> <td> 2,457 </td> </tr> <tr> <td> P13 </td> <td> 18 </td> <td> M </td> <td> 4 </td> <td> 119 </td> <td> 2,461 </td> </tr> <tr> <td> P14 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 100 </td> <td> 2,460 </td> </tr> <tr> <td> P15 </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 104 </td> <td> 2,460 </td> </tr> <tr> <td> P16 </td> <td> 18 </td> <td> M </td> <td> 3 </td> <td> 126 </td> <td> 2,462 </td> </tr> <tr> <td> P17* </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 105 </td> <td> 2,469 </td> </tr> <tr> <td> P18 </td> <td> 21 </td> <td> F </td> <td> 4 </td> <td> 122 </td> <td> 2,461 </td> </tr> <tr> <td> P19 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 130 </td> <td> 2,462 </td> </tr> <tr> <td> P20 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 106 </td> <td> 2,457 </td> </tr> <tr> <td> P21 </td> <td> 23 </td> <td> M </td> <td> 3 </td> <td> 133 </td> <td> 2,459 </td> </tr> <tr> <td> P22 </td> <td> 23 </td> <td> M </td> <td> 3 </td> <td> 134 </td> <td> 2,471 </td> </tr> <tr> <td> P23 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 115 </td> <td> 2,472 </td> </tr> <tr> <td> P24 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 111 </td> <td> 2,445 </td> </tr> <tr> <td> P25 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 116 </td> <td> 2,460 </td> </tr> <tr> <td> P26 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 107 </td> <td> 2,462 </td> </tr> <tr> <td> P27 </td> <td> 21 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,460 </td> </tr> <tr> <td> P28 </td> <td> 24 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,460 </td> </tr> <tr> <td> P29 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 125 </td> <td> 2,460 </td> </tr> <tr> <td> P30 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 125 </td> <td> 2,461 </td> </tr> <tr> <td> P31 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 100 </td> <td> 2,472 </td> </tr> <tr> <td> P32 </td> <td> 22 </td> <td> M </td> <td> 3 </td> <td> 120 </td> <td> 2,460 </td> </tr> <tr> <td> P33 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 127 </td> <td> 2,461 </td> </tr> <tr> <td> P34 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 100 </td> <td> 2,457 </td> </tr> <tr> <td> P35 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 108 </td> <td> 2,460 </td> </tr> <tr> <td> P36 </td> <td> 20 </td> <td> F </td> <td> 3 </td> <td> 136 </td> <td> 2,471 </td> </tr> <tr> <td> P37 </td> <td> 19 </td> <td> M </td> <td> 4 </td> <td> 129 </td> <td> 2,457 </td> </tr> <tr> <td> P38* </td> <td> 19 </td> <td> M </td> <td> 3 </td> <td> 128 </td> <td> 2,463 </td> </tr> <tr> <td> P39* </td> <td> 18 </td> <td> M </td> <td> 3 </td> <td> 111 </td> <td> 2,479 </td> </tr> <tr> <td> P40 </td> <td> 23 </td> <td> M </td> <td> 4 </td> <td> 110 </td> <td> 2,462 </td> </tr> <tr> <td> P41 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 130 </td> <td> 2,465 </td> </tr> <tr> <td> P42 </td> <td> 20 </td> <td> F </td> <td> 3 </td> <td> 126 </td> <td> 2,461 </td> </tr> <tr> <td> P43 </td> <td> 22 </td> <td> F </td> <td> 3 </td> <td> 125 </td> <td> 2,459 </td> </tr> <tr> <td> P44 </td> <td> 22 </td> <td> M </td> <td> 3 </td> <td> 138 </td> <td> 2,467 </td> </tr> <tr> <td> P45 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 104 </td> <td> 2,461 </td> </tr> </tbody> </table> Table 1.- Participant's ID and relevant information.Participants with an * presented a lot of movement during the recording.

restrictedAug 2023View details →

Datasets of the paper Monitoring cognitive and psychological alterations in COVID-19 patients: A longitudinal neuropsychological study by Diana et al. 2022

Datasets of the paper "Monitoring cognitive and psychological alterations in COVID-19 patients: A longitudinal neuropsychological study" by Diana et al. 2022

opennotspecifiedJul 2023View details →

Figure 1 in Future of DNA-based insect monitoring

Figure 1. Sources of insect DNA and common applications. Abbreviation: eDNA, environmental DNA.

Clinical Test for Armed-used Blood Pressure Monitor With Preformed Cuff(Monitor When Being Inflated)

ClinicalTrials.gov study NCT01206959. IPD Sharing: Not stated. Countries: 0. Publications: 0.

Copper Cu 64 Dotatate for the Detection, Localization and Monitoring of SSTR Expressing (NETs)

ClinicalTrials.gov study NCT04334837. IPD Sharing: Not stated. Countries: 0. Publications: 0.

Monitoring Trends in Venous Thromboembolism

ClinicalTrials.gov study NCT00063518. IPD Sharing: Not stated. Countries: 0. Publications: 0.

Observational Study of Antiretroviral (ARV) Response in a Cohort of African Children Using Viral Load Monitoring

ClinicalTrials.gov study NCT01555723. IPD Sharing: Not stated. Countries: 0. Publications: 0.

openGEO-OpenOct 2016View details →

Transplant tissue specfic exosome platform for noninvasive monitoring of immunologic rejection [miRNA]

GEO Series GSE88845. Homo sapiens; synthetic construct. 3 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenJan 2020View details →

Determining the role of serum progesterone monitoring by comparing endometrial transcriptomics in women with low progesterone versus women with normal progesterone during the receptive phase of the me

GEO Series GSE143620. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenOct 2016View details →

Transplant tissue specfic exosome platform for noninvasive monitoring of immunologic rejection

GEO Series GSE88846. Homo sapiens; synthetic construct. 5 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.

openGEO-OpenMar 2008View details →

Search for New Biomarkers for the Monitoring of the Minimal Residual Disease of the Acute Lymphoblastic Leukemia.

GEO Series GSE10820. Homo sapiens. 18 samples. Type: Expression profiling by array.