cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5104537.v1
title: Supplementary Material for: The ‘Double Lung Point’: An Ultrasound Sign Diagnostic of Transient Tachypnea of the Newborn

description: <i>Background:</i> Transient tachypnea of the newborn (TTN) is a mild form of neonatal respiratory distress which early in its course needs to be differentiated from other severe respiratory disorders. At present the diagnosis is based on radiological findings and clinical course. Lung sonography in TTN has not yet been assessed. <i>Objectives:</i> The aim of the study was to define the ultrasonographic appearance of TTN and evaluate its clinical relevance. <i>Methods:</i> Lung sonography was performed in 32 newborn infants with radiological and clinical signs of TTN within the first hour after birth and the findings were compared with those of 60 normal infants, 29 with respiratory distress syndrome, 6 with pneumonia, 5 with pulmonary hemorrhage and 5 with atelectasis. <i>Results:</i> In the infants with TTN, lung sonography showed a difference in lung echogenicity between the upper and lower lung areas. There were very compact comet-tail artifacts in the inferior fields while these were rare in the superior fields. We designated this finding the ‘double lung point’ and it was not observed in healthy infants, infants with respiratory distress syndrome, actelectasis, pneumothorax, pneumonia, or pulmonary hemorrhage. Sensitivity and specificity of the double lung point was 100% for the diagnosis of TTN. <i>Conclusion:</i> We found lung sonography reliable for the early diagnosis of TTN. We suggest that it should become the first approach for imaging of neonatal respiratory distress although further prospective studies with good blinding need to be performed.
DOI: 10.17632/v8f42rn2zs
title: PETOOL v2.0: Parabolic Equation Toolbox with evaporation duct models and real environment data

description: A new version of PETOOL (Parabolic Equation Toolbox) is introduced with various additional capabilities. PETOOL is an open-source and MATLAB-based software tool with a user-friendly graphical user interface (GUI) for the analysis and visualization of electromagnetic wave propagation over variable terrain and through arbitrary atmosphere. Four novel features of the second version are as follows: (i) Several evaporation duct models have been developed. (ii) Real atmosphere data have been included in the form of “Binary Universal Form for Representation (BUFR)” data developed by “World Meteorological Organization (WMO)”. (iii) Real terrain data have been incorporated into the toolbox in the form of “Digital Terrain Elevation Data (DTED)” developed by “National Imagery and Mapping Agency (NIMA)”. (iv) A special add-on has been developed to generate a 3D coverage map of propagation factor/loss on real terrain data. The toolbox can be used for research and/or educational purposes to analyze more realistic propagation scenarios in an easier and flexible manner. The previous version of this program (AEJS_v1_0) may be found at https://doi.org/10.1016/j.cpc.2011.07.017.
DOI: 10.6084/m9.figshare.13637570.v1
title: Treadmill speed data

description: Dual-belt treadmill speed data collected at 240Hz.
DOI: 10.6084/m9.figshare.24219199.v2
title: MiDAS 5: Global diversity of bacteria and archaea in anaerobic digesters (data for R-scripts)

description: MiDAS 5: Global diversity of bacteria and archaea in anaerobic digestersRaw data for analysis in R
DOI: 10.6084/m9.figshare.26509591.v1
title: CASIA-FaceV5.zip

description: This is the compressed file of CASIA-FaceV5.
DOI: 10.6084/m9.figshare.28582595.v1
title: Supplementary Material for: Association of the biopsychosocial factors adverse childhood experiences, adult attachment style, emotion regulation and mitochondrial biogenesis with major depressive disorder

description: Introduction: Major depressive disorder (MDD) is one of the most prevalent mental disorders associated with various negative impacts such as lower overall quality of life, increased morbidity risk, and even premature mortality. According to the biopsychosocial model of health and disease, multiple factors contribute to the development and manifestation of MDD. Here, we assessed social, psychological, and biological variables and tested their power to predict MDD diagnosis using logistic regression models.
Methods: In twenty-four patients with current MDD diagnosis and thirty-five healthy control participants, the following variables were measured to test for associations with MDD diagnosis: (1) emotional neglect and adult attachment style as social variables, (2) thought suppression and cognitive reappraisal as psychological variables, and (3) mitochondrial biogenesis (citrate synthase activity as a surrogate marker of mitochondrial density) measured in peripheral blood mononuclear cells (PBMC) as a biological variable. 
Results: The following biopsychosocial variables were associated with MDD diagnosis. Participants with greater emotional neglect (OR: 1.273, 95 % Cl: 1.059-1.645), higher levels of intrusive thoughts (OR: 1.738, 95 % Cl: 1.282-3.066), and decreased mitochondrial density in PBMC (OR: 0.298, 95 % Cl: 0.083-0.784) had a higher probability of belonging to the MDD group. 
Conclusions: In line with biopsychosocial models of depression, the present results indicate that variables at different level of analysis are conjointly related to MDD. These findings open new perspectives for the diagnosis and treatment of MDD, but they need to be replicated in larger samples in the future.
DOI: 10.6084/m9.figshare.16483188.v1
title: 2008-01-31 13-56 Lake Ngapouri

description: A CTD cast on Lake Ngapouri<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Type of waterbody:</b> Lake<br><br><b>Variables:</b> Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Salinity; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2008-01-31<br><br><b>End date:</b> 2008-01-31<br><br><b>Lake:</b> Lake Ngapouri<br><br><b>Region:</b> Waikato<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.24420487.v1
title: Dataset S1

description: This dataset was used for the paper: "Forests are chill: The interplay between thermal comfort and mental wellbeing", published in Lanscape and Urban Planning (2023). Full methodological details are found in the paper and its appendix.Here follows the column description:<b>vp_code </b>= Participant code.<b>Site </b>= One of three peri-urban forest sites.<b>PlotID </b>= The forest (i.e. low, medium or high biodiversity level) or non-forest (i.e. control = non-forest baseline control, urban = urban control) conditions.<b>Intervention </b>= Before or after the forest or urban intervention. All participants started at the non-forest baseline (i.e. 'pre') and were then randomly assigned to one of four conditions (i.e. 'post')<b>TC_1 </b>to <b>TC_10 </b>= Respectively, Thermal Sensation Vote, Humidity Sensation Vote, Wind Sensation Vote, Sun Sensation Vote, Thermal Preference Vote, Humidity Preference Vote, Wind Preference Vote, Sun Preference Vote, Most Unpleasant Condition Vote, Overall Comfort Vote.<b>TC_clo_head </b>to<b> TC_clo_foot</b> = The clothing and fabric participants were wearing (self-reported).<b>QuestionnaireTime</b> = Time when participants filled in the questionnaire related to thermal comfort. <b>AirT</b> = Air temperature at the time of filling in the thermal comfort questionnaire.<b>TmrtThorsson</b> = Mean radiant temperature, following calculations as in Thorsson et al. (2007), at the time of filling in the thermal comfort questionnaire.<b>PET </b>= Physiologically Equivalent Temperature at the time of filling in the thermal comfort questionnaire.<b>mPET </b>= Modified Physiologically Equivalent Temperature at the time of filling in the thermal comfort questionnaire.<b>PETroll </b>= Physiologically Equivalent Temperature at the time of filling in the thermal comfort questionnaire, with a 10-min left-aligned rolling average to correct for the thermal conditions experienced in the period before the questionnaire was filled in.<b>mPETroll </b>= Modified Physiologically Equivalent Temperature at the time of filling in the thermal comfort questionnaire, with a 10-min left-aligned rolling average to correct for the thermal conditions experienced in the period before the questionnaire was filled in.<b>BAplot</b>= Basal area of forest plots only.<b>ShannonBAScaled</b> = Shannon diversity based on the species-specific proportions in terms of basal area within the plot. Only for forests. <b>ShannonCovScaled</b> = Shannon diversity based on the species-specific proportions in terms of crown cover within the plot. Only for forests. <b>Hplot</b> = Average height of the dominant trees. Only for forests.<b>CCperc</b> = Canopy cover of the plot, in percent, based on hemispherical photographs. Forest forests, but also for non-forest conditions. The latter corresponds then to the share of obscured sky. <b>AI_total</b> = Authenticity index.Note that the mental wellbeing parameters are not added to this dataset. They should be found in the related paper by Rozario et al. (2023) in People and Nature.
DOI: 10.6084/m9.figshare.28172108.v1
title: Appendices for the article 'What is needed to act as a professional change agent for sustainability? A scoping review'

description: These files belong to the article 'What is needed to act as a professional change agent for sustainability? A scoping review' by Mandy Singer-Brodowski, Gianna-Maria Henkel, Alexandra Reith, Pascal Frank, & Marco Rieckmann<sup> </sup>published in International Review of Education - Journal of Lifelong Learning.
DOI: 10.6084/m9.figshare.3517745.v1
title: Appendix C. Correlation matrix for vegetation variables considered for the bird habitat index.

description: Correlation matrix for vegetation variables considered for the bird habitat index.
DOI: 10.6084/m9.figshare.4276415.v1
title: RAW DATA from Variability in individual activity bursts improves ant foraging success

description: Using experimental and computational methods, we study the role of behavioural variability in activity bursts (or temporal activity patterns) for individual and collective regulation of foraging in <i>A. senilis</i> ants. First, foraging experiments were carried out under special conditions (low densities of ants and food and absence of external cues or stimuli) where individual-based strategies are most prevalent. By using marked individuals and recording all foraging trajectories, we were then able to precisely quantify behavioural variability among individuals. Our main conclusions are that (i) variability of ant trajectories (turning angles, speed, etc.) is low compared with variability of temporal activity profiles, and (ii) this variability seems to be driven by plasticity of individual behavioural through time, rather than the presence of fixed behavioural stereotypes or specialists within the group. The statistical measures obtained from these experimental foraging patterns are then used to build a general agent-based model (ABM) which includes the most relevant properties of ant foraging under natural conditions, including recruitment through pheromone communication. Using the ABM, we are able to provide computational evidence that the characteristics of individual variability observed in our experiments can provide a functional advantage (in terms of foraging success) to the group; thus, we propose the biological basis underpinning our observations. Altogether, our study reveals the potential utility of experiments under simplified (laboratory) conditions for understanding information-gathering in biological systems.
DOI: 10.17632/khxgr6m8wz
title: Mobility Dataset from a 7.2 O-RAN deployment

description: The dataset consists of base station measurements including RSRP, RSRQ, and SINR metrics. A realistic commercial 7.2 O-RAN setup with 4 base stations was deployed, and users moved between these cells. The measurements capture around 2300 handover events, providing a comprehensive view of the network performance and user mobility within this setup.
DOI: 10.17633/rd.brunel.7558679.v2
title: Supply Chain Logistics Problem Dataset

description: Dataset is divided into 7 tables, one table for all orders that needs to be assigned a route – <i>OrderList</i> table, and 6 additional files specifying the problem and restrictions. For instance, the <i>FreightRates</i> table describes all available couriers, the weight gaps for each individual lane and rates associated. The <i>PlantPorts</i> table describes the allowed links between the warehouses and shipping ports in real world. Furthermore, the <i>ProductsPerPlant</i> table lists all supported warehouse-product combinations. The V<i>miCustomers</i> lists all special cases, where warehouse is only allowed to support specific customer, while any other non-listed warehouse can supply any customer. Moreover, the <i>WhCapacities</i> lists warehouse capacities measured in number of orders per day and the <i>WhCosts</i> specifies the cost associated in storing the products in given warehouse measured in dollars per unit.<br>Order ID is ID of the order made by the customer, product ID is the specific product ID customer ordered.<br>"tpt_day_cnt" in the FrieghtRates table means transportation day count, i.e. estimated shipping time. <br>WhCapacities correspond to the number of orders. For example, let's say Customer 1 requests 10 units of X, Customer 2 requests 20 units of Y. The total number of orders is 2, thus total capacity in "whCapacity" is 2.<br><br>WhCapacities table is the maximum number of orders that can be processed per each plant, it is not dependant on specific products.<br><br>The OrderList contains historical records of how the orders were routed and demand satisfied. The whCapacities and rest of the tables are the current state constraints of the network. Thus, we can calculate the costs of historical network and also optimize for the new constraints. <br><br>In order to build Linear Programming (LP) model, you would take the following from the OrderList: the product ID that needs to be shipped, the destination port, unit quantity (for cost) and unit weight (for weight constraints). And then use the limits of those constraints from other tables.<br><b>Questions: </b>There is a Carrier V44_3 in OrderList table, but it is missing in the FreightRates table? V44_3 is a carrier that was historically used for supplying given demand, but since it has been discontinued and therefore do not appear in the Freight Rates List. Also, all of the V44_3 instances are CRF - i.e. customer arranges their own shipping and hence cost is not calculated either way. <br>
DOI: 10.6084/m9.figshare.22650763.v1
title: Processed GTEx v8 data

description: The GTEx dataset is a public resource that has generated a broad collection of gene expression data collected from a diverse set of human tissues. Here we share the processed GTEx data used in <em>Hypergraph factorisation for multi-tissue gene expression imputation</em> (Vinas Torne et al., 2023). We processed the data following the GTEx eQTL discovery pipeline. <br> If you use this data for your research, please cite the GTEx consortium paper: <em>GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. DOI:</em> 10.1126/science.aaz1776
DOI: 10.6084/m9.figshare.22691074.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.5217571.v1
title: Supplementary Material for: Correlating the Genetic and Physical Map of Barley Chromosome 3H Revealed Limitations of the FISH-Based Mapping of Nearby Single-Copy Probes Caused by the Dynamic Structure of Metaphase Chromosomes

description: Genetic maps are based on the recombination frequency of molecular markers which often show different positions in comparison to the corresponding physical maps. To decipher the position and order of DNA sequences genetically mapped to terminal and interstitial regions of barley (<i>Hordeum vulgare</i>) chromosome 3H, fluorescence in situ hybridization (FISH) on mitotic metaphase chromosomes was performed with 16 genomic single-copy probes derived from fingerprinted BAC contigs. Long genetic distances at subterminal regions translated into short physical distances, confirming that recombination events occur more often at distal regions of chromosome 3H. Nonoverlapping FISH signals were frequently obtained for probes with a physical distance of at least 30-60 kb. Only 8% of the analyzed chromosomes showed a symmetric order of FISH signals on both sister chromatids. Due to the dynamic packing of metaphase chromatin, the order of 2 adjacent single-copy signals along the chromosome arms outside the (peri)centromeric region can only reliably be determined if the cytological distance is approximately 3%, corresponding to 21.6 Mb.
DOI: 10.6084/m9.figshare.7878134.v1
title: miller-sealev-originalcontrib.xls

description: several sea level changes curve by excelThis file contains published sea level-records for the last 250 million years.<br>Columns A, B after Miller et al. (2011)<br>Columns C, D after Miller et al. (2005)<br>Kominz et al. (2008)<br>Miller et al. (2005) Berggren et al. (1995) <br> Haq et al. (1987)<br>
DOI: 10.6084/m9.figshare.20398878.v1
title: How seeds and growth dynamics influence plant size and yield: Integrating trait relationships into ontogeny

description: The "SeedGrowth" folder consists of three subfolders: <br> The "data" subfolder contains all the input (raw) data. This includes the destructive data used to calibrate mass and area (harvest.xlsx) and the non-destructive data used to fit growth curves (monitoring.xlsx), as well as the yield data (yield.xlsx) with information on seed mass and reproductive output of each plant. <br> The "script" subfolder contains an R file documenting the data preparation. <br> The "output" subfolder contains the processed dataset used for statistical analyses.
DOI: 10.17632/dsm3zzwpzn
title: A Study of "UHRF2 commissions the completion of DNA demethylation through allosteric activation by 5hmC and K33-linked ubiquitination of XRCC1", Liu et al

description: The transition of oxidized 5-methylcytosine (5mC) intermediates into the base excision repair (BER) pipeline to complete DNA demethylation remains enigmatic. We report here that UHRF2, the only paralogue of UHRF1 in mammals that is neither able to maintain 5mC nor to rescue Uhrf1-/- phenotype, is physically and functionally associated with BER. We show that UHRF2 is allosterically activated by 5-hydroxymethylcytosine (5hmC) and acts as a ubiquitin E3 ligase to catalyze K33-linked polyubiquitination of XRCC1, a core subunit of the BER complex. This nonproteolytic action stimulates the interaction of XRCC1 with the ubiquitin binding domain-bearing RAD23B, leading to the incorporation of TDG into the BER complex. Integrative epigenomic analysis in mouse embryonic stem cells reveals that the Uhrf2-commissioned TDG-RAD23B-BER complex functionally links to the completion of DNA demethylation at active promoters, and that during neuronal commitment, Uhrf2-associated and H3K4me1-marked latent enhancers undergo poised-to-active transition, accompanied by complete DNA demethylation and H3K27ac acquisition. Accordingly, Uhrf2 ablation impedes DNA demethylation and inhibits neuronal differentiation. Together, these observations highlight an essentiality of 5hmC-switched UHRF2 E3 ligase activity in commissioning the accomplishment of active DNA demethylation. Raw data for " UHRF2 commissions the completion of DNA demethylation through allosteric activation by 5hmC and K33-linked ubiquitination of XRCC1" is presented here.
DOI: 10.6084/m9.figshare.12986210.v2
title: Human adipocyte proteome supplementary information.

description: Supplementary information for the human adipocyte proteome manuscript.
DOI: 10.6084/m9.figshare.23661975.v1
title: Processed data ready for feature extraction

description: Processed participant data, 50hz, normalised and filtered. Ready for feature extraction
DOI: 10.6084/m9.figshare.7148855.v3
title: Indicators for monitoring maternal and neonatal quality care: a systematic review. Appendix A. Database of all indicators

description: This database contains the whole amount of indicators retrieved by systematic search as well as the total of indicators that were analyzed, including information on applied appraisal criteria.
DOI: 10.6084/m9.figshare.96967.v1
title: "A Walk in the Park"

description: Piedmont Park in Atlanta, Ga...
DOI: 10.17632/cbj8wtz45k
title: Mesocarnivore habitat use data in the Central Platte Valley, Nebraska, USA, using scent-baited motion-censored camera traps: comparing use of prairie-meadow edges to interiors

description: Baited camera traps were deployed through systematic and strategic sampling efforts to gather data on mesocarnivore use of meadow-prairie edge verse interior habitats as well as to gather information on the mesocarnivore community present within conservation properties in the CPRV, Nebraska. The database is presented as three Microsoft Excel documents. Page 1 entitled “Site Description & Sample Effort” describes all sampling sites providing: camera ID, the sampling method (transect vs. incidental), latitude and longitude, deployment dates for each site/camera (Date Start/Date End), a general habitat description (e.g.- Wet Meadow, Cottonwood Savanna, etc.) with notes describing the rationales for incidental camera placements (e.g.- Vulpes vulpes sign), whether the trap was baited or not (e.g.- Yes/No), and data notes on why data is missing or why some sites were discontinued (e.g.- Camera stolen, etc.). Page 2 contains the “Full Database” which again includes the Camera ID in addition to: whether the camera trapping site represents an edge (1), transitional (2), or interior habitat (3), the central standard time of the first photo documenting a mesocarnivore detection (e.g.- 1:37:00 AM), the moon phase at that time (e.g.- full moon, etc.), the species detected using scientific nomenclature (e.g.- Canis latrans), the number of individual animals of a particular species discernable from that series of photos (No. Individuals), the number of images taken during a series of motion censored photos, whether the photos demonstrated the mesocarnivore(s) interacting with our baiting station (Bait Interaction, 1 = yes, 0 =no), and a narrative description of the species’ behavior from the photo series. Finally, in page 3 of the Microsoft Excel document the metadata for the first two datasets is presented.