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Preterm (PRET) neonates are characterized by reduced mature hematopoietic cell count and increased risk of infection, but the biological features of their Hematopoietic stem/progenitor cells (HSPC) compartment, responsible to produce immune cells, are largely unknown. Here, we exploited an optimized workflow to evaluate the immunophenotype, clonogenic potential and differentiation properties of peripheral blood (PB) HSPC from 35 PRET (< 32 weeks gestation) and 26 TERM neonates at birth. Compared to TERM, PRET displayed increased circulation of HSPC, Hematopoietic Stem Cells (HSC) and Multi-Potent Progenitors (MPP). Functionally, TERM and PRET HSPC showed a comparable clonogenic potential, although with a skew towards erythroid colonies of PRET precursors, and similar multi-lineage production. Strikingly, PRET-HSC+MPP and TERM-HSC+MPP displayed equivalent differentiation efficiency and were respectively enriched in uni-erythroid, in line with the erythroid-biased fetal hematopoiesis within the liver, and in uni-lymphoid clones, possibly reflecting the BM output. Finally, PRET with subsequent late-onset neonatal sepsis, who were even more premature, had lower counts of mature lymphoid and myeloid cells but not of HSPC subpopulations. Altogether, PRET- and TERM-HSPC showed comparable in vitro clonogenic and differentiation efficiency. In summary, the functional properties of neonatal HSPCs evolve with the gestational age, from more erythroid-biased fate at earlier stages towards a more myeloid/lymphoid-skewed composition due to distinct hematopoietic niche factors acting on HSPCs with similar differentiation properties. Moreover, our data support the hypothesis that a higher degree of immaturity of the hematopoietic system might increase the susceptibility to develop septic events in preterm newborns.

Replication Package for Supply Chain Finance Participation and Outward FDI: The roles of Productivity, Financial Frictions, and Information Asymmetry

This is supplementary material for the article: Effective Treatment of Genital Lichen Sclerosus with Tofacitinib: A Retrospective Case Series of 13 Patients.

Replication materials for this study

This dataset is associated with the dissertation by Monique Oliveira, titled “Experiences, Perceptions, and Beliefs of Physiotherapists on Pain and Physiotherapeutic Management in Patients with Fibromyalgia: A Qualitative Study Using Content Analysis of Interviews.” As part of this project, it includes the study “Physiotherapists' Perspectives on Exercise Prescription in Fibromyalgia: A Qualitative Study,” which focuses on exercise prescription by physiotherapists for patients with fibromyalgia. The dataset contains interview transcripts, field notes, control spreadsheets, audio recordings, and other supporting materials used in the qualitative research. Data were collected to explore physiotherapists’ perspectives and practices in managing exercises for patients with fibromyalgia, enabling detailed analyses of strategies, challenges, and clinical experiences. The files are organized to facilitate replication and further research.

A survey dataset of 418 Thai public commuters regarding their intention to adopt Mobility as a Service (MaaS). Collected via random sampling (Dec 2022 – Feb 2023), the data measures 12 key constructs of technology acceptance, including Performance Expectancy, Risk, and Price Sensitivity, as well as demographic and commuting patterns. It includes full validation metrics (HTMT, SEM, CFA) and is suitable for comparative studies on digital mobility services in developing countries.

Experimental datasets for EC measurements of Fe-pyroxene glasses.

This dataset contains individual-level immune-redox measurements and machine learning classification outputs used to distinguish heroin-only users from heroin-methamphetamine co-users in a Sri Lankan pilot cohort. Variables include normalized values of IL-6 and IL-4, the Th1:Th2 cytokine ratio (IL-6:IL-4), antioxidant capacity (ABTS), nitric oxide metabolites (NOx), and the oxidative stress index (OSI). The dataset also includes clinically defined group labels, artificial neural network (ANN) model-assigned group classifications, and predicted class probabilities for heroin and heroin–methamphetamine categories generated under leave-one-out cross-validation. These data enable evaluation of multivariate group separability and concordance between clinical labels and model-based classifications.

Phased dependent BGGI flood resilience data include flood dynamics indicators simulated by MIKE FLOOD and BGGI spatial attribute indicators calculated by GIS.

Australian Coral Bleaching Multifactor Dataset is an analysis-ready tabular dataset of 2,985 quality-controlled coral bleaching observations across Australian reef regions and adjacent seas, spanning 1998–2017. Each record represents a unique 0.05° grid cell and survey month, with geolocation (LAT, LON), time (Year, Month), bleaching severity, and a suite of multi-factor environmental predictors assembled for statistical modelling and benchmarking. Bleaching outcomes Bleaching observations and severity information in this release were sourced from the updated global mass coral bleaching database (Version 2.0) compiled by Virgen-Urcelay & Donner (2023, v2). The original event-level records were subset to the Australian region and then harmonized to the analysis format used here (unique 0.05° grid cell × survey month). Bleaching is provided as an ordinal severity class (Seve2, 0–3) together with a continuous proxy (Seve) mapped to (0,1) for downstream statistical modelling. Thermal-stress and climate variables Using the NOAA Coral Reef Watch (CRW) 5-km CoralTemp v3.1 SST product, we derived multiple thermal-exposure metrics aligned to each survey record, including Degree Heating Weeks (DHW), maximum HotSpot (maxhs), Heating Increase Rate (HIR; daily rate of increase in DHW during the exposure window), and sea-surface temperature anomaly metrics (SSTA, SSTA_SD, SSTA_freq, SSTA_freq_SD). Large-scale climate variability is represented by the Oceanic Niño Index (ONI), computed by NOAA CPC from ERSSTv5 as the 3-month running mean SST anomaly in the Niño-3.4 region (5°N–5°S, 170°–120°W). Optical environment To characterize underwater light regime and water clarity, the dataset includes monthly Level-3 MODIS OceanColor composites: photosynthetically available radiation (PAR) and the diffuse attenuation coefficient at 490 nm (Kd₄₉₀). Cyclone exposure Cyclone exposure indicators (cyclone, cyclone_100, cyclone_200) were derived from the Australian Bureau of Meteorology (BoM) best-track database using distance and time windows around each survey record. Following Lugo-Fernández and Gravois (2010), a 200 km radius was used to indicate cyclone impact. Bathymetry and proximity metrics Depth was taken from event records where available; missing values were supplemented using AusBathyTopo (Geoscience Australia, 2017). Distance to land (DIST_L) was derived from the NASA OBPG Distance to the Nearest Coastline global grid (based on GMT intermediate coastline) and resampled to 0.05°. Given evidence that mangrove-associated environments can mitigate bleaching, distance to mangroves (DIST_M) was computed as distance to the nearest polygon from Global Mangrove Watch v3 (Bunting et al., 2022). Regional context Regional labels are provided via ECOREGION codes and the original site/region field (Site). Near-surface wind is included as an additional environmental covariate.