cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25360483.v1
title: Predicting thermal damage accumulation in plants

description: The thermal death time (TDT) model suggests that the duration an organism can tolerate thermal stress decreases exponentially as the intensity of the temperature becomes more extreme. This model has been used to predict damage accumulation in ectothermic animals and plants under fluctuating thermal conditions. However, the critical assumption of the TDT model, which is additive damage accumulation, remains unverified for plants.We assessed thermal damage in <i>Thymus vulgaris</i> under different heat and cold treatments and used TDT models to predict time to thermal failure of PSII. Additionally, thermal tolerance estimates from previous studies were used to create TDT models to assess the applicability of this framework in plants.We show that thermal damage is additive between 44 to 47 °C and -6.5 to -8 °C and that the TDT model can predict damage accumulation at both temperature extremes. Data from previous studies indicate a broad applicability of this approach across plant species and traits.The TDT framework reveals a thermal tolerance landscape describing the relationship between exposure duration, stress intensity and percentwise damage accumulation. The extreme thermal sensitivity of plants emphasizes that even 1°C increase in future extreme temperatures could impact their mortality and distribution.
DOI: 10.17632/jnsgkc23xs
title: Reliability Sensitivity Analyses

description: We want to show how  Time-Sensitive Networking (TSN)-based networks can benefit from using time redundancy to tolerate temporary faults in the links. Specifically, we want to prove that we can increase the reliability of said networks using our Proactive Transmission of Replicated Frames (PTRF) mechanism to tolerate temporary faults in the links of the network (thoroughly described in https://www.mdpi.com/1424-8220/21/3/756). To that, we model the behaviour of TSN and of two different approaches to implement PTRF, namely approach A and B, using the PRISM probabilistic model checker. We have used our models to quantify the reliability and to study the impact that different network parameters have on it. In this dataset we show the results obtained from the parametric sensitivity analysis of the reliability of TSN, PTRF approach A and PTRF approach B in the presence of temporary faults. The parameters considered in our models are the following:
- Bit error rate (BER): 1E-4 to 1E-12
- Frame size: 64, 782 and 1500 bytes
- Number of frame replicas: 1 to 4
- Number of bridges in the communication path: 2 to 10
We executed an experiment for each combination of parameters for TSN, PTRF approach A and PTRF approach B, which resulted in 2,146 experiments. In each one of these experiments we modeled the operation of the network during 10 hours, which resulted in the modeling of the transmission of 1,800,000 frames. Our results allowed us to draw the following conclusions:
-The BER is determinant in the reliability achievable by TSN, PTRF approach A and PTRF approach B. PTRF approach A is a more adequate solution than approach B to provide high reliability in networks with low BERs. On the contrary, approach B can reach significantly higher levels of reliability than approach A in networks with high BERs.
- The frame size has an important impact on reliability, which increases significantly as the BER increases.
- We have seen that the reliability decreases as the network size increases. We have also seen that this negative impact increases with the BER. 
- We can state that these analyses prove that we can increase the reliability of networks based on TSN by using proactive time redundancy to tolerate temporary faults in the links.

The dataset contains the results of all the experiments. Specifically, they show the UNRELIABILITY (probability of the communication failing within 10 hours) for TSN, PTRF approach A and PTRF approach B, each in a different sheet. The BER is indicated in the top left of each table and below we find the frame size in bytes. k1 to k4 represent the number of replicas while b1 to b10 represent the number of bridges in the path.
DOI: 10.6084/m9.figshare.13506672.v1
title: gorkin_qtl_bnbc.tsv.gz

description: QTL results for the Gorkin dataset for chr22, for data processed using BNBC.
DOI: 10.17632/n8sgj48nvd
title: Biofilm.jl: A fast solver for one-dimensional biofilm chemistry and ecology

description: Biofilms are communities of microorganisms that grow on virtually all surfaces with sufficient nutrients including aquatic and industrial water systems and medical devices. Biofilms are complex, structured communities where the interplay of growth, metabolism, and competition between species interact with physical processes of diffusion, convection, attachment, and detachment. This work describes a model of a one-dimensional biofilm in a stirred tank reactor that incorporates these complexities. The model is implemented in the modern Julia programming language providing an efficient tool for studying a large variety of biofilms and the intricate communities the microorganisms create. Details of the new software, known as Biofilm.jl, including the mathematical model and organization and execution of the code, are provided. Examples of biofilms modeled using Biofilm.jl are presented such as a single heterotroph, sulfide-oxidizing bacteria (SOB) and sulfate-reducing bacteria (SRB), and a phototroph. Postprocessing tools are described that allow a Biofilm.jl user to make plots and extract specific values from the solution and explore the simulated biofilm results.
DOI: 10.6084/m9.figshare.12826514.v4
title: Location-aware neural graph collaborative filtering

description: Abstract Collaborative filtering (CF) is initiated by representing users and items as vectors, and seeks to describe the relationship between users and items at a profound level, thus predicting users’ preferred behavior. To address the issue that previous research ignored higher-order geographical interactions hidden in users’ historical behaviors, this paper proposes a location-aware neural graph collaborative filtering model (LA-NGCF), which incorporates location information of items for improving prediction performance. The model characterizes the interactions between items based on spatial decay law from a graph perspective and designs two strategies to capture the interaction effects of users and items considering node heterogeneity. An optimized loss function with spatial distances of items is also developed in the model. Extensive experiments are conducted on three publicly available real-world datasets to examine the effectiveness of our model. Results show that LA-NGCF achieves competitive performances compared with several state-of-the-art models, which suggests that location information of items is beneficial for improving the performance of personalized recommendations. This paper offers an approach to incorporate weighted interactions between items into CF algorithms and enriches the methods of utilizing geographical information for artificial intelligence applications. <strong>Keywords:</strong> collaborative filtering, neural graph collaborative filtering, geographical location <br> This is the code and data of'"Location-aware neural graph collaborative filtering"
DOI: 10.6084/m9.figshare.25562916.v1
title: Supplementary Material for: Endobronchial Ultrasound-Guided Transbronchial Mediastinal Cryobiopsy versus Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration for Mediastinal Disorders: A Meta-Analysis

description: Introduction: Endobronchial ultrasound-guided transbronchial mediastinal cryobiopsy (EBUS-TMC), a novel technique, has been reported to improve the diagnostic value of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for mediastinal lesions in recent studies. Current literature suggests that this procedure has greater diagnostic efficacy compared to conventional EBUS-TBNA. This systematic review and meta-analysis aimed to evaluate the diagnostic yield and complications associated with EBUS-TMC in comparison to EBUS-TBNA, thereby exploring the potential of this novel technique in enhancing the diagnostic utility for mediastinal lesions. 
Methods: A comprehensive literature review was conducted by searching the PubMed, Embase, and Google Scholar databases for articles published from inception to December 31, 2023. The objective of this review was to evaluate the utilization of EBUS-TMC in diagnosing mediastinal disease, while also assessing the quality of each study using the QUADAS-2 tool. The diagnostic yield estimates were subjected to a meta-analysis utilizing inverse variance weighting. Furthermore, a comprehensive analysis of the complications associated with this procedure was performed. 
Results: The meta-analysis included 10 studies involving a total of 538 patients. The findings of the meta-analysis demonstrated that EBUS-TMC yielded an overall diagnostic rate of 89.59% (482/538), while EBUS-TBNA yielded a rate of 77.13% (415/538). The calculated inverse variance-weighted odds ratio was 2.63 (95% confidence interval, 1.86-3.72; p&lt;0.0001), and I2 value was 11%, indicating a statistically significant difference between the two techniques. The associated complications consisted of pneumothorax, pneumomediastinum, mediastinitis and bleeding, with an incidence of 0.74% (4/538), 0.37% (2/538), 0.0% (0/538), and 1.12% (6/538), respectively. Moreover, the funnel plot displayed no discernible publication bias. Further subgroup analysis revealed a notable improvement in the diagnosis value for lymphoma (86.36% vs. 27.27%, p=0.0006) and benign disorder (87.62% vs. 60.00%, p＜0.0001).
Conclusion: This review of the current available studies indicated that EBUS-TMC enhanced overall diagnostic yields compared to EBUS-TBNA, particularly for diagnosing benign disease and lymphoma. This procedure was not associated with any serious complications.
DOI: 10.6084/m9.figshare.27890325.v1
title: Data and code for the paper "Validity Assessment of POI Data: Considering dynamic changes"

description: Point of Interest (POI) data is a critical source in urban geography for uncovering city structure and reflecting patterns of urban activity. Assessing and enhancing the effectiveness of POI data is fundamental. However, most current methods for evaluating POI validity rely on census data and overlook the dynamic nature of POIs, which greatly limits the effectiveness of evaluation methods and the accuracy of their results. This paper proposes a new approach to assess POI validity by leveraging the dynamic changes of POIs. To find changed POIs without relying on census data, the approach selected a sample of POIs, assumed to approximate the characteristics of the overall set, and conducted field research to track their dynamic changes and calculate their validity. Then the validity of the sample POIs is used to approximate the overall validity. The results of POI data validity assessment in Changzhou, China, show that considering dynamic changes increases the validity of POI data. The new sampling-based approach for collecting dynamic changes in POI, as well as insights on sampling priorities for collecting dynamic changes, not only overcome the limitations of existing research concerning reference data and research costs, but open a new direction for POI data validity studies.
DOI: 10.17632/t87zphvs5x
title: Vulnerability of smallholder farmers to climate variability and change in Chiredzi, Zimbabwe

description: The dataset consists of survey data collected from smallholder farmers in Chiredzi, mainly on socioeconomic and climatic factors. These data were used to calculate the livelihood vulnerability of smallholder farmers. The dataset underpins all the analysis done for the article "Vulnerability of smallholder farmers to climate variability and change in Chiredzi, Zimbabwe.” A questionnaire survey guide used has also been attached.
DOI: 10.17632/hft6f3ztct
title: LINF_130013800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/stfyvtwpgf
title: Machine learning framework for energy consumption prediction in wastewater treatment plants combining resampling and cohort Shapley value analysis

description: Machine learning framework for energy consumption prediction in wastewater treatment plants combining resampling and cohort Shapley value analysis`
DOI: 10.6084/m9.figshare.24995747.v4
title: "Tree assembly R project" including data and R scripts to reproduce analyses, figures and tables from "A functional basis for the assembly of Australian subtropical rainforest tree communities"

description: Date created: 3 January 2024Title: "Tree assembly R project" including data and R scripts to reproduce analyses, figures and tables from "A functional basis for the assembly of Australian subtropical rainforest tree communities"Authors: Julian Radford-Smith, Hao Ran Lai, Ella Cathcart-van Weeren and John M. DwyerFor and outline of the folder and file structure, and complete metadata, refer to the README.txt file in the R project.<br><br>
DOI: 10.17632/95s5z7csj6
title: Data for: Orbitally forced galcio-eustatic origin of third-order sequences and parasequences in Middle Permian Maokou Formation, South China

description: Spectral analysis of Lengshuixi outcrop and JY 66-1 well
DOI: 10.17632/rcb56r2rvh
title: Proteomic analysis of senescent and non-senescent CHME-5 microglia.

description: In this experiment, senescent CHME-5 microglial cells were generated and their proteomes were compared to non-senescent CHME-5 microglial cells. Compared to non-senescent cells, a detailed proteomic analysis using SWATH-MS identified 201 proteins that were significantly downregulated and 127 that were significantly upregulated in senescent cells.
DOI: 10.6084/m9.figshare.27890502.v1
title: navigation data.xlsx

description: navigation data
DOI: 10.17632/6rwfj4p3g2
title: Data for: High-performance low-temperature catalytic deoxidation of landfill gas based on Pd-decorated La0.8Sr0.2Co0.2Fe0.8O3-δ oxide

description: Catalytic activity in the O2 conversion & Long term test.
DOI: 10.17632/vwgffx5cv3
title: Rainfall, groundwater, and surface water isotope data from extreme tropical cyclones (2016-2019) within the Caribbean Sea and Atlantic Ocean basins

description: This data set contains novel surface rainfall isotope compositions (δ18O, δ2H, and d-excess in ‰) of tropical cyclones Otto (Costa Rica, 2016), Nate (Costa Rica, 2017), Irma and María (Cuba and The Bahamas, 2017), and Dorian (The Bahamas, 2019). Unique high frequency tempestology sampling of rainfall enabled δ18O and δ2H isotope analysis. In total, 161 surface rainfall samples were collected in passive devices with event-based and daily frequencies, resulting in the first surface TC isotopic anatomy across the Caribbean Sea and Atlantic Ocean basins to date. Our data also provides spring (N=338) and surface water (N=334) isotope compositions after the impact of Hurricane Otto and Tropical Storm Nate in central Costa Rica. Our data may improve the current understanding of key processes governing rainfall isotope ratios in the Caribbean Sea and Atlantic Ocean basins during continental and maritime TC tracks, with applications to the interpretation of paleo-hydroclimate and groundwater recharge processes across the tropics.
DOI: 10.21233/jaf5-pf03
title: CRDY45 pollen surface sample dataset

description: Raw data for the CRDY45 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28098674.v2
title: <i>Global land system maps at 1 km resolution </i><i>for</i> <i>1.5 °C </i><i>climate</i>

description: land system maps
DOI: 10.17632/3vx5vkhjz6
title: Dataset for Large-scale Tests of Tilt-Up Partially Composite Insulated Wall Panels

description: A total of 23 large scale and 30 double shear tests of Traditional Tilt-up and Concrete Insulated Wall Panels (CIPs) are summarized and the reduced data are provided.
DOI: 10.6084/m9.figshare.28239638.v1
title: DATASET: Abundance and diversity of Arecaceae in 100 20 m x 50 m plots along a 5-km transect at the RESEX Riozinho do Anfrísio, Eastern Amazon, Brazil

description: The present dataset resulted from a survey that was conducted within the federally-managed Riozinho do Anfrísio Extractive Reserve (hereafter, RESEX Riozinho), a 737,088-hectare natural reserve limited in the East by the Iriri River, a large clear-water tributary of the Xingu River in the state of Pará, Brazil. The survey was realised in May 2019, at the end of the rainy season. Palm trees were counted on 100 adjacent plots measuring 20 m x 50 m along a 5 km-long transect previously marked for mammal surveys, totalling a 10 ha cover area. Distances were measured using the portable measuring tool HipChain®, with every 50 m marked with flagging tape and mapped with a Garmin® 78S handheld GPS receiver. The transect was slowly censused on foot at ~1 km/h by a minimum of two experienced observers. All adult palms within ten meters on either side of the transect were recorded and identified to species level whenever possible using species descriptions. Their positions along the transect were then noted to the nearest 50 meters. The presence or absence of <i>igarapés</i>, shallow, narrow and slow streams typical of Amazonian environments, was recorded for each plot, generating a binary variable, as those are generally not visible from satellite imagery.Coordinates representing each 20 m x 50 m plot were later used to extracted data from the digital elevation model (DEM) database TOPODATA, from the Brazilian Spatial Research Institute (INPE), a country-wide resource which refined data from the Shuttle Radar Topography Mission (SRTM) and offers images with resolution of 30 m, containing measures such as altitude, slope, relief, exposure and terrain shape (Fig. 2). We used HydroSHEDS data to calculate the distance from each transect sub-unit to the nearest perennial stream as registered by the SRTM, which did not record recently formed <i>igarapés</i>. As a proxy to measure forest density, we extracted the normalized difference vegetation index (NDVI) for the coordinates representing each of the 100 plots, using satellite imagery from Cbers 4A . The calculations of NDVI, and topographical and hydrological variables, were conducted in QGIS 3.34 “Prizren”.
DOI: 10.6084/m9.figshare.25605909.v2
title: DAL5.zip

description: GNSS data with rinex format in DAL5 station. Original data come from ftp://ftp.awi.de
DOI: 10.6084/m9.figshare.26104912.v1
title: Supplementary Material for: Fetal strain and strain rate measured with speckle tracking echocardiography in maternal diabetes: systematic review

description: Introduction: The aim of this systematic review and meta-analysis was to evaluate fetal cardiac function in fetuses of mothers with diabetes compared to those of mothers without diabetes using 2D-STE.
Methods: Embase, MEDLINE and CENTRAL were searched for observational studies on 2D-STE fetal left and right ventricular global longitudinal strain and strain rate that included singleton, non-anomalous pregnancies complicated by pregestational or gestational diabetes mellitus compared to uncomplicated pregnancies. The strain values were pooled per 4 weeks of gestation for meta-analysis using random-effects models.
Results: Fifteen studies met the criteria, including 990 fetuses of diabetic mothers and 1,645 control fetuses. The study design was cross-sectional in fourteen studies and longitudinal in one study. Gestational age, type of diabetes, ultrasound device and 2D-STE software varied between the studies. Glycemic control and type of treatment were often lacking. In fetuses of diabetic mothers versus healthy mothers, left ventricular strain was significantly decreased (7 studies), increased (1 study) or not significantly different (7 studies). Right ventricular strain was decreased (7 studies), increased (1 study) or not different (2 studies). Left ventricular strain rate was decreased (3 studies), increased (1 study) or not different (2 studies). Right ventricular strain rate was increased (1 study) or not different (2 studies). 
Conclusion: Fetuses of mothers with diabetes show evidence of systolic dysfunction, which is more visible in the right ventricle. Contradictory results are probably due to suboptimal study designs and variation in gestational age, diabetes severity, image acquisition and software. Large prospective longitudinal studies are needed to assess fetal myocardial function with 2D-STE in pregestational diabetes mellitus type 1 and 2 and gestational diabetes mellitus pregnancies. The influence of glycemic control, BMI and treatment should be evaluated.
DOI: 10.17632/8h9kc5jnt4
title: Data Set. Case management as an opportunity for healthcare: user experiences

description: Los datos que se presentan aqui responden a la ampliación de la caracterización de los participantes y los resultados de la codificación de entrevistas.
DOI: 10.6084/m9.figshare.6796739.v1
title: Supplementary Material for: Long Non-Coding RNA RP11-789C1.1 Suppresses Epithelial to Mesenchymal Transition in Gastric Cancer Through the RP11-789C1.1/MiR-5003/E-Cadherin Axis

description: <b><i>Background/Aims:</i></b> Gastric cancer (GC) is a common malignancy with a global incidence that ranks fourth among all tumor types. Epithelial-to-mesenchymal transition (EMT) is a tumor biological process with a role in GC cell metastasis. Long non-coding RNAs (lncRNAs) and microRNAs possess important regulatory functions at the cellular level and in diverse pathophysiological processes. This study was conducted to investigate whether lncRNA RP11-789C1.1 regulates EMT in GC by mediating the miR-5003/E-cadherin pathway. <b><i>Methods:</i></b> RP11-789C1.1 and miR-5003 expression was detected in GC specimens and cell lines by quantitative real-time PCR. Western blotting and immunohistochemistry were performed to detect EMT markers in GC. Cell Counting Kit 8 assays were carried out to explore cell proliferation. Wound healing and Transwell assays were conducted to determine the migration and invasion of GC cells. To clarify the correlation between RP11-789C1.1, miR-5003, and E-cadherin, dual-luciferase reporter assays were applied. <b><i>Results:</i></b> LncRNA RP11-789C1.1 was significantly down-regulated in GC patients and cell lines, along with the concomitant up-regulation of miR-5003. Silencing RP11-789C1.1 and over-expressing miR-5003 significantly promoted the tumor behavior of GC cells. Dual-luciferase reporter assays confirmed that miR-5003 was the target of both RP11-789C1.1 and E-cadherin. Furthermore, at both the mRNA and protein level, silencing RP11-789C1.1 remarkably reduced the expression of E-cadherin and promoted EMT, which were reversed by knocking down miR-5003. <b><i>Conclusions:</i></b> LncRNA RP11-789C1.1 inhibited EMT in GC through the RP11-789C1.1/miR-5003/E-cadherin axis, which could be a promising therapeutic target for GC.
DOI: 10.17632/k74twh2phn
title: Tribological behaviour study of aluminium-alumina hybrid nano metal matrix composites
DOI: 10.6084/m9.figshare.11961825.v2
title: TermiteRawData.csv

description: Raw data of termite occurrence on a global scale that used the standardized sampling protocol of Jones & Eggleton, 2000 (see Methods for more details).
DOI: 10.6084/m9.figshare.23915634.v1
title: Table S1.docx

description: <b>Table Supplementary 1. </b>List studies from 2000 to 2022 in non-pasture-based automatic milking systems included in the scoping review