Mendeley Data Showcase

This dataset contains supporting data for the publication "Engineered Heart Tissues formed with Cardiac Progenitors and Differentiated Cardiomyocytes Exhibit Similar Physiologic Properties at Differentiation-Matched Timepoints". This study demonstrated that induced pluripotent stem cell-derived cardiovascular progenitors (iPSC-CVP) can be used to form functional engineered heart tissues with similar electrophysiological properties to tissues formed from fully differentiated induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM), while also being more amenable to enzymatic dissociation and mechanical manipulation.

Hematopoietic stem/progenitor cell (HSPC) aging has long been associated with myeloid skewing, reduced clonal output, and impaired regenerative capacity, but quantitative immunophenotypic and functional analysis across the human lifespan has been lacking. Here, we provide a comprehensive phenotypic, transcriptional, and functional dissection of human hematopoiesis from youth to advanced age. Although primitive hematopoietic stem cell (HSC) numbers were stable during aging, overall cellularity declined, especially for erythroid and lymphoid lineages. HSPC from older individuals exhibited repopulating frequencies comparable to those from younger donors in both primary and secondary xenografts; however, aged HSC displayed impaired differentiation, chromatin and cell-cycle dysregulation, and poor tolerance to activation-induced proliferative stress, resulting in DNA damage and senescence-like features post-xenotransplantation. Importantly, imposing proliferative stress on young human HSPCs in vivo recapitulated key aging-associated phenotypic and functional declines. Together, our findings identify dysregulated activation responses as a defining feature of HSPC aging and establish proliferative stress–based xenotransplantation models as powerful platforms for investigating age-related hematopoietic dysfunctions. This work is published on Journal of Experimental Medicine (doi: 10.1084/jem.20251805) All the data generated in this study have been deposited in the San Raffaele Open Research Data Repository under accession code doi: 10.17632/72ty5v9djn.1 The RNA and ATAC sequencing data generated and discussed in this study have been deposited in NCBI's Gene Expression Omnibus (Edgar et al., 2002) and are accessible through GEO SuperSeries GSE311225, which contains the following data: GSE243327 (RNA-seq), GSE311221 (ATAC-seq). The code used to process and to generate the images of RNAseq data in this manuscript is available at: http://www.bioinfotiget.it/gitlab/custom/LetteraScala_Ageing/bulk_RNAseq. WES data generated and discussed in this study are available at the European Nucleotide Archive (ENA) under the following accession code: PRJEB93902

S1: Detailed GSD data (soil weight percentage within each grain size category) from Gale Crater and the corresponding GSD parameters； S2: Detailed GSD data (soil weight percentage within each grain size category) from Jezero Crater and the corresponding GSD parameters； S3: Detailed GSD data (soil weight percentage within each grain size category) from Gusev Crater and the corresponding GSD parameters； S4: Detailed GSD data (soil weight percentage within each grain size category) from Meridiani Planum and the corresponding GSD parameters； S5: the original high-precision photo number used in the article for reading soil particle gradation； S6: the original photos processed in the article (file names are the image numbers)； S7: large scale images to to determine geomorphological characteristics. All the images are sourced from https://science.nasa.gov/resource/gale-crater/, https://science.nasa.gov/mission/msl-curiosity/location-map/, https://mars.nasa.gov/msl/multimedia/raw-images/, https://mars.nasa.gov/mars2020/multimedia/raw-images/, and https://an.rsl.wustl.edu/mer/.

In this file you will find the data of the interviews used to the manuscript "The Case of the “Ruta Futuro” Public Drug Policy for Preventing and Reducing Psychoactive-Substance Use in Bucaramanga, Colombia". First, it is relevant to read the "data instructions" file.

The simulation data of this research

Last Updated: December 12, 2025. Includes over 4,000 new ready-mix concrete EPDs with new data fields including "application." A paper corresponding to the "application" fields will be published in an academic journal. For questions or comments, use the following email (broyles@mit.edu) for contact. Please include "Compiled Concrete EPD Dataset Inquiry" in the subject of the email. The carbon footprint of a concrete structure is directly affected by the selected concrete mix. To better understand the influence of different concrete mixes, mix data was collected from Environmental Product Declarations (EPDs). Data from 47,413 U.S.A. concrete mix EPDs was obtained from public repositories provided by the American Society for Testing and Materials and the National Ready Mixed Concrete Association. The dataset provides information on life cycle assessment (LCA) midpoints (Global Warming Potential, Ozone Depletion Potential, Acidification Potential, Photochemical Ozone Creation Potential, Abiotic Depletion, Total Waste Disposed, and Consumption of Freshwater), concrete strength classes, declared unit, concrete curing time, production components, concrete manufacturers’ company and plant locations, and additional LCA information. This dataset enables users to quickly assess the environmental impacts (including the Global Warming Potential) of different concrete mixes without the need for extensive data collection and analysis. In summary, this dataset provides environmental information about concrete mixes to aid researchers, sustainability consultants, building practitioners, and policymakers to make sustainability-informed decisions when specifying concrete in the U.S.A.

Todo este material foi gerado a partir da disciplina de Logística e Cadeia de Suprimentos do Curso de Graduação em Administração da UTFPR, campus Curitiba. O objetivo é de ser reutilizado por estudantes e pequenas empresas que necessitem de ferramentas de apoio à logística e à sua cadeia de suprimentos.

Measuring alliance power, especially in international relations, involves understanding multi-dimensional strength through data-centric analysis, which this model does through a 15 indicator set which spans across a nation's capabilities for aggression, learning, yield, and statesmanship (ALYS index).

Este archivo muestra el proceso de codificación en torno a una revisión sistemática de los estilos de liderazgo.

The dataset is in Portuguese. This description explains the variables used. Dataset describes the application of an intervention of Collaborative Simulation, with 3 practical simulation sessions (with Standerdized Patients in specific controlled scenarios) and 2 sessions of Feedback and Feedfoward applied between each practical simulation (with teaching and learning of health communication skills). Sample of 22 participants (Medical Imaging and Radiotherapy students) coded as participant 1 to 22 (“Participante 1 - 22”). The sample is characterized by the variables Age (“idade”) and Sex (“Sexo”). Participants completed 3 practical simulation sessions (“…_SP1-3”), in which 4 different evaluators (“Avaliador1-4”) assessed the performance in terms of providing humanistic healthcare in standardized patients representing young adults patients in “SP1”, patients with disabilities in “SP2” and elderly patients in “SP3”. The parameters evaluated were: Interviewing Skills (“AT_1_SP1”), (“AT_1_SP2”) and (“AT_1_SP3”); Execution/ Dynamism (“EDT_2_SP1”), (“EDT_2_SP2”) and (“EDT_2_SP3”); Professionalism and Human Qualities (“QHP_3_SP1”), (“QHP_3_SP2”) and (“QHP_3_SP3”); Counseling Skills (“OT_4_SP1”), (“OT_4_SP2”) and (“OT_4_SP3”); Clinical Judgment (“RT_5_SP1”), (“RT_5_SP2”) and (“RT_5_SP3”); Organization/Efficiency (“OET_6_SP1”), (“OET_6_SP2”) and (“OET_6_SP3”); Overall Competence (“CG_7_SP1”), (“CG_7_SP2”) and (“CG_7_SP3”). The measures had a time difference of 1 week between the “SP1” and “SP2” and 2 weeks from “SP2” to “SP3”, the total duration of intervention was 4 week.