cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26885752
title: Supplementary Material for: No short term effect of low dose nicotine on inflammation after global hypoxia in newborn piglets

description: Introduction:
Perinatal asphyxia initiates cytokine release and complement activation with risk of brain damage. We assessed the effect of nicotine on innate immunity and hypothesized that nicotine infusion in a newborn piglet model of asphyxia would decrease the immune response and be neuroprotective. 

Methods: 
Newborn piglets (n=41) were randomized to one of three groups after hypoxia: Two groups receiving nicotine, 1) 18 µg/kg/h (n=17), 2) 46 µg/kg/h (n=15), and 3) control group receiving saline (n=9). C3a, IL-6, TNF and IL-10 were measured in plasma and IL-6 and IL-8 in microdialysis fluid from cerebral periventricular white matter, using immuno-assays. 

Results: 
Plasma C3a and IL-6 increased significantly from start to end hypoxia (mean 1.9±0.24 to 2.4±0.31 ng/mL and 1.66±1.04 to 2.68±0.71 pg/mL, respectively), while IL-10 and TNF increased significantly after four hours (mean 1.4±1.08 to 2.9±1.87 and 1.4±0.29 to 1.7±0.25 pg/mL, respectively)(p&lt;0.001 for all). IL–6 increased significantly (p&lt;0.001) in microdialysis samples from end hypoxia to end experiment (mean 0.65±0.88 to 2.78±1.84 ng/mL). No significant differences were observed between the nicotine groups and the control group neither in plasma nor in microdialysis samples. 

Conclusion: 
Hypoxia lead to rapid release of cytokines in plasma and cerebral microdialysis fluid, and complement activation measured on C3a. However, low dose nicotine administration did not affect the immune response.
DOI: 10.6084/m9.figshare.26943757
title: <b>Embracing plant-plant interactions - rethinking predictions of species range shifts</b>

description: R code and plant demogrpahic associated to the worked example presented in the review article '<b>Embracing plant-plant interactions - rethinking the prediction of species range shifts</b>' published in the 4th Grime review series of Journal of Ecology.When using plant demographic data, please also refer to the research article "Sanczuk, P., De Pauw, K., De Lombaerde, E. <i>et al.</i> Microclimate and forest density drive plant population dynamics under climate change. <i>Nat. Clim. Chang.</i> <b>13</b>, 840–847 (2023). https://doi.org/10.1038/s41558-023-01744-y" as they provide the source data underlying the worked example.<br><b>Abstract</b>1. Interactions among plants are changing across the globe resulting from a multitude of changes in the environment. Obtaining accurate predictions of plant species’ range dynamics require us to account for plant-plant interactions, but this remains challenging using the existing species distribution modelling (SDM) techniques.2. Advanced SDM techniques facilitate the integration of plant species interactions based on species-to-species associations. However, for uncharted environmental conditions in which the formerly derived species’ correlations potentially no longer hold, a more process-based alternative is expected to become increasingly relevant.3. We first review the most common SDM techniques that integrate plant-plant interactions, and then present the concept for a novel map product: a spatial Plant-plant Interaction Index (PII) depicting the link between a focal species’ performance and the trait signature of the interacting vegetation. The latest developments in remote sensing and the increasing availability of vegetation plot data facilitate PII mapping based on vegetation trait-environment relationships.<i>4.</i><i> </i><b><i>Synthesis</i></b><i> </i>PII mapping holds the potential to advance next-generation biogeographical analyses as it can serve as a pivotal missing covariate layer necessary for the integration of plant-plant interactions into SDM applications. This data product adds flexibility to the ecologists’ toolbox to analyze species range shifts and the formation of novel communities as a response to multiple environmental changes.
DOI: 10.6084/m9.figshare.27073045
title: Supplementary Material for: Validation of the 40-item and 24-item short version of the Person-Centred Obesity Care (PCOC) instrument for patients living with obesity

description: Introduction
Person-centred care (PCC) may hold promise for improved healthcare experiences and outcomes among patients living with obesity. A validated instrument to assess the delivery of PCC to patients living with obesity is however currently lacking. This study aimed to validate such an instrument. In this article, we describe the development and psychometric testing of the 40-item and 24-item short version of the Person-Centred Obesity Care (PCOC) instrument. 

Methods
A total of 590 individuals living with obesity (BMI 33.4 ± 3.9) from a representative Dutch sample completed the 49-item PCOC instrument measuring the eight dimensions of PCC (patient preferences, physical comfort, coordination of care, emotional support, access to care, continuity and transition, information and education, and family and friends), and two measures of satisfaction with care. We performed confirmatory factor analyses to verify the factor structure of the instrument, and examined its reliability and validity. 

Results
Fit indicators of the first model with all 49 items showed that the model left room for improvement (CFI &lt; 0.90). A 40-item version was obtained with satisfactory-to-good fit (SRMR = 0.05, RMSEA = 0.06, CFI = 0.90). The instrument demonstrated good reliability, and the relationship between the PCOC and two indicators of satisfaction with care supported the validity of the scale. Shortening the instrument only further improved the fit indicators, resulting in the development of a 24-item short version (SRMR = 0.04, RMSEA = 0.05, CFI = 0.96), with similar results in terms of reliability and validity. 

Conclusion
The 40-item PCOC instrument and the 24-item short version showed to be reliable and valid instruments for the assessment of PCC among patients living with obesity. Based on the results, the 40 and 24-item PCOC are promising tools that can be used by clinicians and researchers to explore PCC delivery for patients living with obesity.
DOI: 10.6084/m9.figshare.27074422
title: Supplementary Material for: Towards senior-friendly hospitals: an overview of programs, their elements and effectiveness in improving care

description: Comprehensive “senior-friendly hospital” (SFH)-programs have been developed to counteract negative health outcomes in hospitalized older adults. The aim of this narrative review was to provide an overview of published SFH-programs and their elements, and to summarize evidence of their effect on quality of care and patient satisfaction. A search of the databases Pubmed/Medline from inception to July 2023, and of governmental, regional and hospital websites was performed. Programs were earmarked as SFH-programs if they primarily focused on the hospital setting, and comprised a hospital-wide, multi-level approach and consisted of multiple elements. Articles and reports were included if participants were hospitalized and aged 60 years and older, and described the effect on quality of care or patient satisfaction. Articles focusing on specific patient groups or wards, or on a health system or network were excluded. Ten SFH-programs were identified, with mutual elements like ‘organizational support’, ‘social climate and services’, ‘processes of care’, and ‘physical environment’. Only for the “Acute Care for Elders” program (USA), evidence was found showing positive effects on functional abilities, falls, delirium, length of stay, and patient satisfaction; effectiveness of other SFH-programs could not be found. Elements of SFH-programs may improve care for hospitalized older adults, but the evidence of their effectiveness is scarce.
DOI: 10.13026/br83-z194
title: Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)

description: Brno University of Technology ECG Signal Database with Annotations of P Wave
(BUT PDB) is an ECG signal database with marked peaks of P waves created by
the cardiology team at the Department of Biomedical Engineering, Brno
University of Technology. The database consists of 50 2-minute 2-lead ECG
signal records with various types of pathology. The ECGs were selected from
three existing databases of ECG signal - the MIT-BIH Arrhythmia Database, the
MIT-BIH Supraventricular Arrhythmia Database, and the Long Term AF Database.
The P waves positions were manually annotated by two ECG experts in all 50
records. Each record contains also annotation of positions and types of QRS
complexes (from original database) and dominant diagnosis (pathology) present
in record. This database is created for the development, evaluation and
objective comparison of P wave detection algorithms.
DOI: 10.15468/7pjxmn
title: Plant Diversity and Distribution on the Continental Cameroon Mountains

description: This database is a combination of sets of Plant data made in the Continental Cameroon Mountains at Rumpi Hills Forest Reserve (RHFR), and Mbembe Forest Reserve (MFR) within 2011 to 2016. This preliminary database project will run from November 2017 to November 2018 and is implemented by Tropical Plant Exploration Group (TroPEG) Cameroon and Biodiversity Institute, University of Kansas; USA in collaboration with the Department of Botany and Plant Physiology, University of Buea, under a project titled: Mobilization of Biodiversity Data Related to Protected Areas and Threatened Species in Western Cameroon. This project is controlled and managed under project number: BID-AF2017-0039-SMA of the Biodiversity Information for Development (BID) of the Global Biodiversity Information Facility (GBIF) with funds from the European Union (EU). At the Mbembe Forest Reserve, four one hectare plots were sampled at different vegetation types of semi-deciduous, grassland and woody savanna forest following the method of Condit 1998. Coordinates (Latitude, Longitude and elevation) were recorded at the four corners of each plot. Plots were selected based on physical and human factors like climate, altitude, slopes, and degree of forest used. Plot data was replicated independently and randomly using quadrants. Diameter of all trees and lianas in each plot ≥ 1 cm (10 mm) were recorded and specimens collected mostly for doubtful species. Specimens for well-known species were not collected. At Rumpi Hills Forest Reserve, 25 1-ha plots were sampled, with GPS coordinates of the four corners of each plot recorded to assure repeated plot locations in the future. Precise coordinates of each plot are available in tabular form at http://hdl.handle.net/1808/25180. Plots were established following line transects of 500 m x 20 m, which were sub-divided into 25 quadrats of 20 m x 20 m each (Thomas et al., 2003). This was to facility data collection and to reduce error margin during data collections. In mountainous areas, plots were located strategically so that 25 quadrats of 20 x 20 m representing one-hectare fit within a particular sampling area. All trees and lianas within each plot with dbh ≥10 cm were measured with the help of a diameter tape, while in five nested plots of 10 m x 10 m, all trees and lianas with dbh ≤10 cm were measured with the aid of a caliper. Most species were identified in the field by two Botanists (Sainge Moses and Mambo Peter). Doubtful species were collected for further identification at the National Herbarium of Cameroon using other specimens in the herbarium, Botanists, floras, and monographs. The current database is based on physical specimen’s observations. A total of 23,427 occurrence records are presented in this first pass database, accounting to two classes, 39 orders, 83 families, 335 genera and 723 species. This database will be hosted by GBIF Cameroon and VERTNET, published by TroPEG Cameroon, and will be made available to Global Biodiversity Information Facility (GBIF) portal for visibility.
DOI: 10.15468/dl.3z4egq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harengula jaguana Poey, 1865",
 "Year 1950-2021"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216236-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuxret
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Harengula clupeola (Cuvier, 1829)",
 "Year 1950-2021"
 ]
}

 The dataset includes 205 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216203-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.591929
title: Tree-ring measurements of Picea glauca (White spruce) from sample GLENN-121

description: Species PCGL; No of rings 174; Begin 1810; End 1983
DOI: 10.1594/pangaea.591930
title: Tree-ring measurements of Picea glauca (White spruce) from sample GLENN-122

description: Species PCGL; No of rings 191; Begin 1793; End 1983
DOI: 10.1594/pangaea.847944
title: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05
DOI: 10.1594/pangaea.910663
title: Physical oceanography during POLARSTERN cruise PS117
DOI: 10.17026/dans-zrz-m9cm
title: The GEMM Study: A Cross-National Harmonized Field Experiment on Hiring Discrimination

description: The GEMM Study (N=19,181) employs an innovative field-experimental research design that allows for the comparative analysis of hiring discrimination across 53 ethnic groups in five strategically selected countries: Germany, Spain, the United Kingdom, Norway and the Netherlands.This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 649255 (GEMM Project).
DOI: 10.17632/4wd9scvdvk.1
title: Self-focus and resiliency factors among Alcoholics Anonymous members: A quantitative daily diary study

description: The main purpose of this research study was to investigate the relationship between selfishness helping behavior, and gratitude among members of the 12-step program Alcoholics Anonymous. The research hypotheses centered around ideas discussed at length in 12-step literature- When people in AA spend more time helping others and feeling grateful, they think less about their own cares and concerns. The data provides preliminary evidence of this relationship: significant daily associations were uncovered between helping behavior, gratitude and selfishness. Participants reported less self-absorption on days when they helped more people and were more grateful. A number of additional control variables were collected at baseline and throughout the study that may be of interest to other researchers. This was a quantitative daily dairy study that consisted of an initial baseline assessment followed by 7 nightly reports that were collected each evening at 8pm. Participants (N = 113) were recruited through social media networks (e.g., large recovery-related facebook groups, twitter, Instagram, etc.) as well as an email list from people in recovery who had previously participated in research and had provided consent to be contacted in the future. After the baseline survey, participants were sent a reminder to fill out the survey each evening at 8 pm in their respective time zones via text and email. This data is well-suited for multilevel modeling analyses for all daily variables. A complete list of the measures is listed below. Baseline: Addiction Severity - Short Inventory of Problems-Revised (SIP-R) Adult Attachment - Experiences in Close Relationships Scale - Short (ECR-S) Trait Narcissism - Narcissistic Personality Inventory (NPI-13) Altruism - Altruistic Personality Scale (APS) Trait Gratitude - Gratitude, Resentment, and Appreciation Test (GRAT) Personality - Ten-Item Personality Inventory (TIPI) Psychological Distress - Kessler Psychological Distress Scale (K-6) Social Desirability - Marlow Crowne Social Desirability Scale (SDS) Locus of Control - Alcohol-Related God Locus of Control Scale (AGLOC) Self-Esteem - Rosenberg Self-Esteem Scale (RSE) Recovery Capital - Brief Assessment of Recovery Capital (BARC) Daily: Self-Absorption - Self-Absorption Scale (SAS) Narcissism - Hypersensitive Narcissism Scale (HSNS) Mood - Positive/Negative Affect (PANAS) Helping Behavior - Service to Others in Sobriety (SOS) State Gratitude - Gratitude Checklist (3-item Daily Gratitude) Self-Efficacy - Self-Efficacy Scale (SES)
DOI: 10.17632/hr5h2hcgg4.15
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix “clip”), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17909/dwnb-jv28
title: Bolometric Luminosity and Effective Temperature of Late T and Y dwarfs using JWST
DOI: 10.17909/t9059r
title: Kepler/KIC

description: The Kepler Input Catalog, as delivered by Brown et al. (2011, https://ui.adsabs.harvard.edu/abs/2011AJ....142..112B/abstract)
DOI: 10.21227/jrk5-qw26
title: Raw RSSI Dataset for Indoor Localization Fingerprinting

description: This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from within three different types of scenarios. Three wireless technologies were used which consisted of: - WiFi (IEEE 802.11n 2.4GHz band) - Bluetooth Low Energy (BLE) and - Zigbee (IEEE 802.15.4) For the experimentation, the equipment utilized consisted of Raspberry Pi 3 Model Bs, Gimbal Series 10 Beacons, and Series 2 Xbees with Arduino Uno microcontrollers.
DOI: 10.21415/hngw-aw53
title: AphasiaBank English Protocol PWA MSU Corpus
DOI: 10.23708/2rjyvv
title: Runoff and erosion maps in Saen Thong sub-district (Tha Wang Pha district, Nan province, Thailand)

description: This dataset contains three runoff and erosion vector maps classified by value ranges: i) a map of runoff coefficient (Krc %) predicted from local surface conditions and runoff data from 535 1- m² plots in Southeast Asia; (ii) a map of mean soil loss (kgm-2) predicted from the same database; and (iii) a map of gully index, which is based on catchment area, runoff coefficient and LS, a topographic factor. These runoff and erosion maps were produced as part of the ANR FutureHealthSEA project: predictive scenarios of health in Southeast Asia, linking land use and climate change to infectious diseases. In November 2019 and June 2022, we assessed soil surface conditions across 100 individual 1-square meter plots, using a robust methodology (Casenave and Valentin, 1992), tailored to Southeast Asia (Patin et al., 2018; Song et al., 2020). We ensured representation of each land use category with a minimum of four plots, at various topographic positions. Our objective was to determine runoff and soil loss based on these surface conditions, using a database of 535 1-square meter plots representing a variety of land uses in Southeast Asia (Boithias 2021; available at mtropics.obs-mip.fr/catalogue-m-tropics/). We conducted multiple linear regressions for the ten land use categories identified in the field to establish statistically significant relationships between the observed surface conditions and annual runoff as well as soil loss (e.g., Lacombe et al., 2018). Subsequently, we used Copernicus satellite imagery to identify land use patterns (Mahuzier et al. 2022) within the 287 catchments of the Saen Thong region and generated maps of runoff production (Krc %) and inter-rill erosion (Mean soil loss kg m-2) as predicted by these models. To address gully erosion on steep slopes (Valentin et al., 2005), we introduced a gully erosion index (Gi = A krc LS), where "A" represented the catchment area in hectares, "krc" accounted for the sum of runoff contributions attributed to different land use categories weighted by their respective surface areas within each catchment, and "LS" incorporated the topographic factor derived from mean slope steepness and length. We sourced values for "A" and "LS" from satellite imagery and digital elevation models (DEMs), generating the map of this gully erosion index (Gully index).
DOI: 10.23708/genr6j
title: Random Forest land cover classifications of Sentinel satellite images in 2019, Saen Thong, Thailand

description: This dataset holds the results of different Random Forest classifications using the combination of Sentinel-2 Optical and Sentinel-1 Radar images. The different images were acquired in 2019. The dataset covers Saen Thong sub-district, Nan province in northern Thailand, a mountainous area with a monsoon climate. The classifications cover three categories of land: 1. uncultivated steep mountain slopes with forest (Park, protected), 2. cultivated mostly steep slopes with annual crops (e.g. upland rice, maize), or tree plantations (e.g rubber, teak, bamboo), or community forest, 3. cultivated flatland with paddy fields, besides most urbanization and modern infrastructure is also located here. All farmers are smallholders and field size is relatively small. The classifications were sustained by ground-truth checks. The land cover classifications and others additional data resulting from fieldwork are intended to study the spread of some common infectious diseases (ANR Future Health Sea project: predictive scenarios of health in Southeast Asia, linking land use and climate change to infectious diseases).