Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,547
datasets available to search
ShareScore release 0.9.0
Dataset results
1,547 results for “employers”
Highly Skilled Migrant and Non-MigrantWomen and Men: How Do Differences in Quality of Employment Arise?
<p>Research shows that highly skilled migrant women often have poor quality jobs or no</p> <p>employment. This paper addresses two research gaps. First, it provides a comparative perspective</p> <p>that examines differences and commonalities in the quality of employment of four highly skilled</p> <p>groups: migrant- and non-migrant women and men. Four statistical indicators are examined to</p> <p>grasp these differences: employment rates, income, adequacy of paid work, and employment status.</p> <p>The results highlight the role of gender and country of birth: Swiss-born men experience the best</p> <p>employment quality, and foreign-born women the worst. Second, it offers a family perspective</p> <p>to study how the employment trajectories of skilled migrant women develop in time and place in</p> <p>relation to their partners’. The qualitative life-course analysis indicates that skill advancement is more</p> <p>favourable for migrant and non-migrant men than for migrant and non-migrant women. However,</p> <p>skill advancement for migrant women depends greatly on the strategies enacted by domestic partners</p> <p>about how to divide paid employment and family work, and where to live. The statistical study draws</p> <p>on recent data from Swiss labour market surveys. The life-course analysis focuses on 77 biographical</p> <p>interviews with tertiary-educated individuals. Participatory Minga workshops are used to validate</p> <p>the study results.</p>
Exploring the Chemical Space of Glycosylation in Noncovalent Protein Complexes: an Expedition along Different Structural Levels of Human Chorionic Gonadotropin Employing Mass Spectrometry
<p><strong>Supplementary files for "Exploring the Chemical Space of Glycosylation in Noncovalent Protein Complexes: an Expedition along Different Structural Levels of Human Chorionic Gonadotropin Employing Mass Spectrometry"</strong></p> <p><strong>Introduction</strong></p> <p>This data repository contains all previously unpublished raw data files for the manuscript “Exploring the Chemical Space of Glycosylation in Noncovalent Protein Complexes: an Expedition along Different Structural Levels of Human Chorionic Gonadotropin Employing Mass Spectrometry” by Maximilian Lebede<sup>||</sup>, Fiammetta Di Marco<sup>||</sup>, Wolfgang Esser-Skala, René Hennig, Therese Wohlschlager, Christian G. Huber.</p> <p><strong>Files</strong></p> <p>This repository contains 9 files:</p> <ul> <li><strong>Dimer Raw Files.zip</strong> folder containing 4 files of native-MS data (*.raw, Thermo RAW file format) of two batches of the drug product Ovitrelle® at native dimer level. </li> <li><strong>H11M9 Ovitrelle BA056714 Glycopeptide R1 230920_07.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>H11M9 Ovitrelle BA056714 Glycopeptide R2 230920_08.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>H11M9 Ovitrelle BA056714 Glycopeptide R3 230920_09.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>H11M9 Ovitrelle BA059433 Glycopeptide R1 240920_15.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>H11M9 Ovitrelle BA059433 Glycopeptide R2 240920_16.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>H11M9 Ovitrelle BA059433 Glycopeptide R3 240920_17.zip</strong> folder containing 1 file of HPLC-MS/MS glycopeptide data (*.raw, Thermo RAW file format) of one batch of the drug product Ovitrelle®.</li> <li><strong>MoFi Settings.zip</strong> folder containing 12 files of MoFi settings (*.xml) to annotate deconvoluted spectra of hCG subunits and dimer of two Ovitrelle® batches, untreated and after desialylation. A typical MoFi setting file is build from protein sequence (*.FASTA), monosaccharide and frequent modification atomic composition (*.csv), glycan or glycoform library (*.csv) and deconvoluted spectrum in centroid (*.csv). Files are named as following: Settings_Ovitrelle_Batch number (BA056714 or BA059433)_Structural level (Alpha, Beta or Dimer)_Enzymatic treatement (Untreated or Sialidase).</li> <li><strong>Subunit Raw Files.zip</strong> folder containing 8 files of HPLC-MS data (*.raw, Thermo RAW file format) of two batches of the drug product Ovitrelle® at intact subunit level. </li> </ul> <p>Raw files are named as following: Instrument, Drug product (Ovitrelle), Batch number (BA056714 or BA059433), Structural level (Dimer, Subunits or Glycopeptides), Enzymatic treatment (untreated, Sialidase, PNGase F or PNGase F + Sialidase) and date. Glycopeptide data includes 3 replicates (R1-3).</p> <p><strong>License</strong></p> <p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit <a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a> .</p> <p> </p>
Dataset for puplication: Machine Learning in Automated Monitoring of Metabolic Changes Accompanying the Differentiation of Adipose Tissue-Derived Human Mesenchymal Stem cells employing 1H-1H TOCSY NMR
<p>Data set used in the publication: <strong>Machine Learning in Automated Monitoring of Metabolic Changes Accompanying the Differentiation of Adipose Tissue-Derived Human Mesenchymal Stem cells employing <sup>1</sup>H-<sup>1</sup>H TOCSY NMR. </strong></p> <p>Abstract: In this work, the dynamic evolution of adipose tissue-derived human MSCs (AT-derived hMSCs) after fourteen days of cultivation, adiobocytes and osteocytes differentiation has been inspected based on 2D NMR TOCSY using machine learning techniques. Multi-class classification in addition to novelty detection of metabolites was established based on the profile of a control hMSCs sample at four days cultivation and successively detect the absence and the abundance of metabolites in differentiated MSCs following a set of <sup>1</sup>H-<sup>1</sup>H TOCSY profiles. The uploaded files are:</p> <p>File: metabolites_names.xlsx contain the names of the used metabolites.</p> <p>File: metabolites.xlsx</p> <p> column 1: metabolite abbreviation</p> <p>column 2: 2D NMR TOCSY horizontal and vertical frequencies of metabolites in the control group at 4 days cultivation (Ct d4)</p> <p>column 3: 2D NMR TOCSY horizontal and vertical frequencies of metabolites found after 14 days of cultivation (Ct d14)</p> <p>column 4: 2D NMR TOCSY horizontal and vertical frequencies of metabolites found after 14 days of differentiation into adipocytes (AT d14)</p> <p>column 5: 2D NMR TOCSY horizontal and vertical frequencies of metabolites found after14 days of differentiation into osteocytes (OS d14)</p> <p>column 6: 2D NMR TOCSY horizontal and vertical standard frequencies of all metabolites measured at broadband high resolution 600.13 MHz NMR</p>
Material from a collaborative analysis with young people. Insights into the analysis process of R&I Action #2 Youth Employment of the CoAct project
<p>The collaborative data analysis presented in this document was undertaken in the context of the research project CoAct (Co-designing Citizen Social Science for Collective Action) as part of the R&I Action #2 on Youth Employment. In this R&I Action, using Citizen Social Science as a research approach, young people aged between 15 and 21 years in employment measures in Vienna/Austria participated in collaborative social research activities. The visualisation of data analysis in the form of posters, is a selection of the collaborative analysis of qualitative expert interviews using the the “Stop and Go” (Harrasser, 2017) method. Following this method, audio recording of interviews, done by the young co-researchers themselves, are listened to and summarized as well as connected to the co-researchers’ own experience.</p> <p>The Creative Commons license and a recommendation regarding the citation of the material are provided in the document.</p> <p>For more information please contact veronika.woehrer@univie.ac.at</p>
Key sulphur species predicted by photochemical models and their employed chemical networks
<p>The volume mixing ratio output of the key sulphur species computed by photochemical models for producing Fig. 1 in Tsai et al. 2023 and the chemical networks used in each model.</p> <p> </p>
Replication package for: Human Capital, Female Employment, and Electricity: Evidence from the Early 20th-Century United States
<p>The package contains all the code necessary to reproduce the figures and tables in Vidart, D. (forthcoming). "Human Capital, Female Employment, and Electricity: Evidence from the Early 20th-Century United States", Review of Economic Studies. Instructions are also given about accessing the raw data.</p>
Assessing the antimicrobial Capacity of metal oxide nanomaterials using ZOI and MIC measurements by employing Machine learning tools.
<p>Assessing the antimicrobial Capacity of metal and metal oxide nanomaterials (IONPs, AgNPs, ZnONPs) using ZOI and MIC measurements by employing Machine learning tools.</p>
Efficient colonic drug delivery in domestic pigs employing a tablet formulation with dual control concept
<p>Files contain LC-MS/MS data obtained from analysis of plasma and feces samples of 14 pigs (A-O). A description of the data can be found in the Word-file "Description of files".</p>
Number of works grouped by AI technique employed
<p>Number of works grouped by AI technique employed. Part of the study "What do we mean by GenAI?"</p>
Assessing the Influence of Graduate Characteristics on Employer Satisfaction: A Multi-dimensional Analysis
<p>Dataset for the paper</p>
Comparison of Tele Dentistry with Clinical Diagnosis (on-site) by Employing ICDAS in the Population of Rawalpindi & Islamabad: A Validation Study
<p>The study was cross sectional validation study was done from Jan 2022 to Jan 2023 in private<br> clinics of Rawalpindi and Islamabad in which tele dental diagnosis was compared with onsite<br> clinical diagnosis by using the instrument of ICDAS. A dentist primarily examined the patient<br> caries than that same patient was diagnosed by another dentist through photographs, which<br> were taken by patients’ attendant on verbal guidelines by a dentist. later, this whole data was<br> assessed by a third dentist.</p>
Developing a Pipeline to Employ RNA-Seq as a Complementary Diagnostic Tool in Rare Diseases
ClinicalTrials.gov study NCT05996731. IPD Sharing: NO. Countries: 1. Publications: 3.
Enhancing Successful Return to Work of Employees With Cancer, by Supporting Employers (MiLES Intervention)
ClinicalTrials.gov study NCT06672887. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Application of PDCA Circular Management to Improve Critical Thinking Skills of ICU Nurses Within Five Years of Employment
ClinicalTrials.gov study NCT05830383. IPD Sharing: NO. Countries: 1. Publications: 2.
TRUE Dads: Evaluation of an Intervention Focusing on Father Involvement, Co-parenting, and Employment
ClinicalTrials.gov study NCT03069898. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
EYESHOT (EmploYEd Antithrombotic Therapies in Patients With Acute Coronary Syndromes HOspitalized in iTalian Coronary Care Units)
ClinicalTrials.gov study NCT02015624. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Proficiency Based Training in Surgery - Employing An Arthroscopic Bankart Repair
ClinicalTrials.gov study NCT01921621. IPD Sharing: Not stated. Countries: 1. Publications: 2.
An Integrative Cardiac Rehabilitation Employing Smartphone Technology (iCREST)
ClinicalTrials.gov study NCT05270993. IPD Sharing: NO. Countries: 1. Publications: 1.
Perspectives of Italian Employers Regarding the Return to Work Process of Employees Who Received a Cancer Diagnosis: a Qualitative Study
ClinicalTrials.gov study NCT06994182. IPD Sharing: NO. Countries: 1. Publications: 5.
EmploYEd Antithrombotic Therapies in Patients With Acute Coronary Syndromes HOspitalized in iTalian CCUs
ClinicalTrials.gov study NCT06316128. IPD Sharing: Not stated. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.