cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8140536
title: Climate-Invariant Machine Learning

description: The "Climate-Invariant Machine Learning" manuscript's accompanying data is organized into two folders: "CIML_Fig_Data_v2.zip" contains the data necessary to reproduce all the manuscript's figures by running the Jupyter notebook at this link and to train climate-invariant models by running the Jupyter notebook at this link. "CIML_SPCAM5_Initialization" contains the data necessary to intialize and re-run the three SPCAM5, Earth-like simulations used in the manuscript. See SI A of the manuscript and the notebooks for more details. This is a pre-release: The release will be final if the manuscript if accepted for publication after peer-review.
DOI: 10.5281/zenodo.7365682
title: Temperature data Great Geysir and Strokkur (Iceland)

description: The folder contains: Temperature data measured inside geysers in June 2018 (Haukadalur hydrothermal field, Iceland) weather data collected at two nearby stations (data available from https://urdur.belgingur.is). The figures of the paper submitted to JGR The matlab script to process the data and generate the figures of the manuscript a Read me file to run the matlab scripts
DOI: 10.5281/zenodo.7443119
title: Temperature data Great Geysir and Strokkur (Iceland)

description: The folder contains: Temperature data measured inside geysers in June 2018 (Haukadalur hydrothermal field, Iceland) weather data collected at two nearby stations (data available from https://urdur.belgingur.is). The figures of the paper submitted to JGR The matlab script to process the data and generate the figures of the manuscript The Supplementary Material explaining the data acquisition method and processing a Read me file to run the matlab scripts
DOI: 10.5281/zenodo.7443892
title: Temperature data Great Geysir and Strokkur (Iceland)

description: The folder contains: Temperature data measured inside geysers in June 2018 (Haukadalur hydrothermal field, Iceland) weather data collected at two nearby stations (data available from https://urdur.belgingur.is). The figures of the paper submitted to JGR The matlab script to process the data and generate the figures of the manuscript The Supplementary Material explaining the data acquisition method and processing a Read me file to run the matlab scripts
DOI: 10.5281/zenodo.7632693
title: Temperature data Great Geysir and Strokkur (Iceland)

description: The folder contains: Temperature data measured inside geysers in June 2018 (Haukadalur hydrothermal field, Iceland) weather data collected at two nearby stations (data available from https://urdur.belgingur.is). The figures of the paper submitted to JGR The matlab script to process the data and generate the figures of the manuscript The Supplementary Material explaining the data acquisition method and processing a Read me file to run the matlab scripts
DOI: 10.5281/zenodo.8140409
title: Dataset for the Amyloid-beta precursor protein antibody screening study

description: This project contains the following underlying data included in a study aiming at characterizing antibodies for the Amyloid-beta precursor protein. The study is available on Zenodo (https://doi.org/10.5281/zenodo.7971926).
DOI: 10.5519/qd.alpy66nx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7964 records)
DOI: 10.6084/m9.figshare.23509549
title: Consistent Estimation of Multiple Breakpoints in Dependence Measures

description: This article proposes different methods to consistently detect multiple breaks in copula-based dependence measures. Starting with the classical binary segmentation, also the more recent wild binary segmentation (WBS) is considered. For binary segmentation, consistency of the estimators for the location of the breakpoints as well as the number of breaks is proved, taking filtering effects from AR-GARCH models explicitly into account. Monte Carlo simulations based on a factor copula as well as on a Clayton copula model illustrate the strengths and limitations of the procedures. A real data application on recent Euro Stoxx 50 data reveals some interpretable breaks in the dependence structure.
DOI: 10.6084/m9.figshare.23509549.v2
title: Consistent Estimation of Multiple Breakpoints in Dependence Measures

description: This article proposes different methods to consistently detect multiple breaks in copula-based dependence measures. Starting with the classical binary segmentation, also the more recent wild binary segmentation (WBS) is considered. For binary segmentation, consistency of the estimators for the location of the breakpoints as well as the number of breaks is proved, taking filtering effects from AR-GARCH models explicitly into account. Monte Carlo simulations based on a factor copula as well as on a Clayton copula model illustrate the strengths and limitations of the procedures. A real data application on recent Euro Stoxx 50 data reveals some interpretable breaks in the dependence structure.
DOI: 10.6084/m9.figshare.23509549.v1
title: Consistent Estimation of Multiple Breakpoints in Dependence Measures*

description: This paper proposes different methods to consistently detect multiple breaks in copula-based dependence measures. Starting with the classical binary segmentation, also the more recent wild binary segmentation (WBS) is considered. For binary segmentation, consistency of the estimators for the location of the breakpoints as well as the number of breaks is proved, taking filtering effects from AR-GARCH models explicitly into account. Monte Carlo simulations based on a factor copula as well as on a Clayton copula model illustrate the strengths and limitations of the procedures. A real data application on recent Euro Stoxx 50 data reveals some interpretable breaks in the dependence structure.
DOI: 10.26300/tfkr-f047
title: Data documentation for Abx Provider Outcomes
DOI: 10.5281/zenodo.8133569
title: zebrafish GSE223922 scRNA data set objects

description: scRNA data from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 (Sur et al. 2023), see a detailed description of the study here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055256/ Data were downloaded from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 to create a R Seurat object and converted into AnnData (h5ad) file to be able to analyse with e.g. python scanpy package. If you use this data, please cite Sur et al. 2023.
description: {"references": ["Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.", "Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5.", "Sur, A., Wang, Y., Capar, P., Margolin, G. and Farrell, J.A., 2023. Single-cell analysis of shared signatures and transcriptional diversity during zebrafish development. bioRxiv, pp.2023-03."]}
DOI: 10.5281/zenodo.8133568
title: zebrafish GSE223922 scRNA data set objects

description: scRNA data from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 (Sur et al. 2023), see a detailed description of the study here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055256/ Data were downloaded from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE223922 to create a R Seurat object and converted into AnnData (h5ad) file to be able to analyse with e.g. python scanpy package. If you use this data, please cite Sur et al. 2023.
description: {"references": ["Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.", "Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5.", "Sur, A., Wang, Y., Capar, P., Margolin, G. and Farrell, J.A., 2023. Single-cell analysis of shared signatures and transcriptional diversity during zebrafish development. bioRxiv, pp.2023-03."]}
DOI: 10.5281/zenodo.8135135
title: Artifact of paper "Transforming Test Suites Into Croissants"

description: This is the artifact of paper "Transforming Test Suites Into Croissants".
DOI: 10.5281/zenodo.8134891
title: Artifact of paper "Transforming Test Suites Into Croissants"

description: This is the artifact of paper "Transforming Test Suites Into Croissants".
DOI: 10.5281/zenodo.7981691
title: Artifact of paper "Transforming Test Suites Into Croissants"

description: This is the artifact of paper "Transforming Test Suites Into Croissants".
DOI: 10.5281/zenodo.7981576
title: Artifact of paper "Transforming Test Suites Into Croissants"

description: This is the artifact of paper "Transforming Test Suites Into Croissants".
DOI: 10.5281/zenodo.8140735
title: Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar

description: This dataset includes all files (in .npy format) that was used to plot distributions of the slopes of vertical profiles of reflectivity in the liquid phase, in the ice phase, and echo top heights using the NASA Global Precipitation Measurement mission Dual-Frequency Precipitation Radar.
DOI: 10.5281/zenodo.8140629
title: Estimating three-dimensional structures of eddy in the South Indian Ocean from the satellite observations based on the isQG method

description: Supporting data for Estimating three-dimensional structures of eddy in the South Indian Ocean from the satellite observations based on the isQG method Matlab Codes to reconstruct the subsurface structures (Codes without Figure_*.m) and plot the figures (Figure_*.m) in the manuscript. The file in Netcdf format is our reconstructed 3D density and currents.
DOI: 10.5281/zenodo.8140771
title: Railbelt 2050 Load, Electrification, and Behind-the-Meter Solar Hourly Load Demand for Aggressive and Moderate Electrification Forecasts

description: The data in this file is comprised of hourly load demand data for the year of 2050 for Alaska's Railbelt transmission system from the aggressive and moderate load, electrification adoption, and behind-the-meter solar forcasts generated by the ACEP Railbelt Decarbonization Study.
DOI: 10.5281/zenodo.8140770
title: Railbelt 2050 Load, Electrification, and Behind-the-Meter Solar Hourly Load Demand for Aggressive and Moderate Electrification Forecasts

description: The data in this file is comprised of hourly load demand data for the year of 2050 for Alaska's Railbelt transmission system from the aggressive and moderate load, electrification adoption, and behind-the-meter solar forcasts generated by the ACEP Railbelt Decarbonization Study.
DOI: 10.7910/dvn/7oykrt
title: :unav

description: Teste _ Descrição _ Texto
DOI: 10.6084/m9.figshare.3761562.v2644
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.13020/7ss4-wx42
title: Minnesota Apple Survey 2023: Results Summary

description: A research team at the University of Minnesota-Twin Cities fielded a state-wide survey January 2, 2023 - April 30, 2023 to quantify the value of apple (Malus domestica) production and agritourism on orchards in the state, to identify common marketing strategies among apple growers, and to ascertain pest management needs among apple growers. The final electronic questionnaire, consisting of 20 questions, was constructed using the Tailored Design Method and formatted in Qualtrics. The target survey population included owners/operators of apple orchards in Minnesota. Individual email contacts were compiled primarily with the help and permission of membership organizations (Minnesota Apple Growers Association, Minnesota Fruit and Vegetable Growers Association, Minnesota Grown). Anonymous survey links were also posted on Social media sites (Facebook) to invite voluntary participation. Surveys were distributed to 354 eligible participants. A total of 107 individuals opened the survey and, of those, 71 reported growing apples and were eligible to continue the survey. Twenty-eight percent of the respondents opted out of the survey after completing the first question; thus the final number of survey participants who had completed more than one question was 51 individuals (14% response rate).
description: The data files include a PDF survey summary as well as an excel file with cleaned data.
DOI: 10.5281/zenodo.8140806
title: geukensia_granosissima_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8140805
title: geukensia_granosissima_zanfona_1.fasta.gz

description: .
DOI: 10.17903/fk2/1ws13z
title: Σχέσεις εργασίας - οικογένειας και ευημερία στην Βόρεια Ευρώπη

description: Τα δεδομένα της συγκεκριμένης έρευνας αξιοποιούνται για εκπαιδευτικούς σκοπούς. Πλήρης περιγραφή της έρευνας προσφέρεται κατόπιν εγγραφής στο: https://www.howtosurvey.gr Η μελέτη περίπτωσης που παρουσιάζεται εδώ αφορά στο πώς η σύγκρουση εργασιακής - οικογενειακής ζωής και η ευημερία διαφέρουν ανάλογα με το φύλο σε επτά συγκεκριμένες χώρες της Βόρειας Ευρώπης: τη Μεγάλη Βρετανία, την Ολλανδία, τη Γαλλία, τη Γερμανία, τη Νορβηγία, τη Σουηδία και την Δανία. Τα πρωτογενή δεδομένα που χρησιμοποιήθηκαν προήλθαν από το 2ο γύρο διεξαγωγής της Ευρωπαϊκής Κοινωνικής Έρευνας (ΕΚΕ) το 2004. H ΕΚΕ είναι μια διεθνής ποσοτική έρευνα που διεξάγεται τηρώντας όλες τις προβλεπόμενες μεθοδολογικές διαδικασίες ώστε να διασφαλιστεί η εγκυρότητα, η αξιοπιστία και η συγκρισιμότητα των εμπειρικών δεδομένων και επαναλαμβάνεται κάθε 2 χρόνια από το 2001 σε περισσότερες από 30 χώρες στην Ευρώπη και όχι μόνο και χρηματοδοτείται από την Ευρωπαϊκή Επιτροπή, το Ευρωπαϊκό Επιστημονικό Ίδρυμα και πόρους των χωρών που συμμετέχουν στην έρευνα. Σκοπός της ΕΚΕ είναι να συλλέξει πληροφορίες για τις στάσεις, τις αντιλήψεις και τις συμπεριφορές διαφορετικών πληθυσμών γύρω από μια σειρά κοινωνικών, πολιτικών και πολιτισμικών ζητημάτων, κρίσιμων για τον ευρωπαϊκό χώρο. Αξιοποιούνται τα ευρήματα του άρθρου των Jacqueline Scott και Anke C. Plagnol που είναι διαθέσιμο εδώ.
DOI: 10.3886/55v9-1233
title: Lesotho Compact - Land Administration Reform (1): Design Report
DOI: 10.3886/bkvw-kc25
title: Lesotho Compact - Land Administration Reform (1): Design Report
DOI: 10.26208/wec6-dc55
title: ROCIS Team Air Quality Datasets

description: Indoor Air Quality (IAQ) is an indispensable component of healthy living and public health. Individuals reportedly spend around 90% of their time in indoor environments. Indoor spaces can potentially house a wide spectrum of pollutant sources, calling for intensified focus on indoor air quality. The quality of indoor air is not an isolated parameter; instead, it is a consequence of an intricate interaction of numerous variables. These factors include climatic conditions, building location and context, building systems, and human behaviors.

The literature review reveals a gap in the understanding of relationships between influential variables of indoor air quality (IAQ) in polluted cities. Thus, it is important to pay more attention to indoor monitoring of exposures to provide a better estimate of individual exposures, investigate the sources of indoor and outdoor air pollution, and identify their impact on IAQ. The present study employed a quantitative research methodology, featuring a dual-phase approach that included air quality measurement and surveys. In the initial measurement phase, primary data were gathered on key air quality variables. Subsequently, the research methodology extended to the survey phase to gather information from residents. This data was used to gain an understanding of household characteristics, ventilation systems, cooking practices, and other potential pollution sources. The research steps of this study involved five main sections: sampling, data collection, data pre-processing, statistical analysis, and results. By employing these steps, including Python for analytical assessments, the study aims to establish results and demonstrate the relationship between IAQ and different variables.

This study is motivated by the pressing air quality issues in Pittsburgh, this study seeks to shed light on often overlooked indoor and outdoor pollution sources, providing insights for future architectural designs, urban planning policies, and public health interventions. Additionally, it aims to increase residents' awareness of the impact of their behaviors on indoor environmental quality.
DOI: 10.6084/m9.figshare.23671467
title: Supplementary data for "Using SWARA II for subjective evaluation of transport emissions reduction policies"

description: Supplementary data for "Using SWARA II for subjective evaluation of transport emissions reduction policies" is provided.
DOI: 10.6084/m9.figshare.23671467.v1
title: Supplementary data for "Using SWARA II for subjective evaluation of transport emissions reduction policies"

description: Supplementary data for "Using SWARA II for subjective evaluation of transport emissions reduction policies" is provided.
DOI: 10.3886/2f86-y591
title: Armenia Compact - Irrigation Infrastructure: Final Analysis Report
DOI: 10.3886/dhkn-vy50
title: Armenia Compact - Irrigation Infrastructure: Final Analysis Report
DOI: 10.25345/c55t3g928
title: MassIVE MSV000092423 - Development of an Efficient, Effective, and Economical Technology for Proteome Analysis
title: Proteomics experiments have typically high economic and technical barriers to broad biomedical scientists, which not only result in costly supplies and accessories for sample preparation but also the reluctance to adapt new techniques. In the present study, we present an effective and efficient, yet economical technology, which we call E3technology, for proteomics sample preparation. By immobilizing silica microparticles into a polytetrafluoroethylene (PTFE) matrix, we developed a novel medium, which could be used as a robust and reliable proteomics platform to generate LCMS-friendly samples in a rapid and low-cost fashion. Using different formats of E3technology, including E3tip, E3filter, E3cartridge, and E3plate, we explored a variety of sample types in varied complexity, quantity, volume, and size, including bacterial, fungi, mammalian cells, mouse tissue, and human body fluids. We benchmark their performance against several established approaches. Our data suggest that E3technology outperforms many of the currently available techniques in terms of proteome identification and quantitation. It is widely applicable, highly reproducible, readily scalable and automatable, and is user-friendly and stress-free (to non-expert proteomics laboratories). It does not require specialized expertise and equipment, and significantly lowers the technical and economical barrier to proteomics experiments. The technology also opens new avenues to sample preparation for clinical proteomics, low input and/or single-cell analysis. E3technology represents a breakthrough innovation in proteome science, and we anticipate widespread adoption by the proteomics community.
DOI: 10.25345/c5222rg99
title: MassIVE MSV000092424 - Native top-down proteomics reveals EGFR-ER signaling crosstalk in breast cancer cells dissociates NUTF2 dimers to modulate ER signaling and cell growth
title: Structural elucidation of proteoforms and their complexoforms
DOI: 10.5517/ccdc.csd.cc24nwnc
title: CCDC 1986283: Experimental Crystal Structure Determination

description: Related Article: Niloofar Safaie, Austin Rodriguez, Gourhari Jana, Jessica Smak, Jose L. Mendoza-Cortes, Robert C. Ferrier|2023|Polym.Chem.|14|3213|doi:10.1039/D3PY00482A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24p455
title: CCDC 1986516: Experimental Crystal Structure Determination

description: Related Article: Niloofar Safaie, Austin Rodriguez, Gourhari Jana, Jessica Smak, Jose L. Mendoza-Cortes, Robert C. Ferrier|2023|Polym.Chem.|14|3213|doi:10.1039/D3PY00482A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftkys
title: CCDC 2258906: Experimental Crystal Structure Determination

description: Related Article: Sylvain Sudan, Farzaneh Fadaei-Tirani, Kay Severin|2023|Chem.Commun.|59|8258|doi:10.1039/D3CC02045B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g6s6p
title: CCDC 2270632: Experimental Crystal Structure Determination

description: Related Article: Chunyu Han, Yuanye Dang, Lin Mo, Ruofei Zhao, Zhengning Wang, Junfeng Zhao|2023|Org.Lett.|25|4923|doi:10.1021/acs.orglett.3c01732
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23586216.v1
title: Sub-Photon Energy Detection in Continuous Electromagnetic Fields via FMCW - dataset

description: This dataset (zipped) contains raw data of several fmcw measurements and Python code for data processing. <br> Raw data is contained in following directories, as Matlab '*.mat' files: - "TIA": 10,000 measurements, local oscillator disconnected, RX disconnected - "LO": 10,000 measurements, local oscillator connected, RX disconnected - "d1 large": 5,000 measurements, 50% target at distance d1 - "d2 large": 5,000 measurements, 50% target at distance d2 - "d1": 100,000 measurements, 5% target at distance d1 - "d2": 100,000 measurements, 10% target at distance d2 <br> To process data, run "python process_data.py" in the root directory. <br>
DOI: 10.5281/zenodo.8140856
title: Antarctic toothfish recruitment - interannual variability (part 2)

description: This datasets contain necessary data to reproduce results of the related peer review publication on interannual recruitment variability of Antarctic Toothfish in the Ross Gyre. ('Tropical teleconnections through the Amundsen Sea Low impact Antarctic toothfish recruitment within the Ross Gyre') The dataset (Part2) contains: 1. Model and Reanalysis data: (annual means for July-Dec) ice_fields_1970_2019_JULY_DEC.nc.gz <br> sea_ice_conce_1970_2021_JULY_DEC_detrend.nc.gz <br> tas_1970_2021_JULY_DEC.nc.gz <br> wind_speed_1970_2019_JULY_DEC.nc.gz contains annual means (sea-ice velocity, concentration, surface air temperature and wind speed) for July to December, 2. Trajectory data for particles for the secondary mode, seeded over the northern-eastern Ross Gyre. trajectory_files_secondary_????.nc.gz (for individual years)