cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25413/sun.23659920
title: Potential geochemical constraints on tree seedlings in northern Kruger National Park grasslands

description: `Letaba.csv` contains soil chemical measurements of grassland and mopane savanna soil samples from near the Letaba Rest Camp in the Kruger National Park, South Africa).`Letaba.csv` has the following 14 columns:1. 'ID' (labelling each sample)2: 'Status' (identifying whether a sample is derived from grassland or mopane savanna)3–12: 'Na', 'Mg', 'K', 'Ca', 'P', 'S', 'B', 'Mn', 'Cu' and 'Zn' (soil chemical concentrations, all in mg per kg soil)13. 'C' (soil organic carbon, in %)14. 'pH'
DOI: 10.25413/sun.23659920.v1
title: Potential geochemical constraints on tree seedlings in northern Kruger National Park grasslands

description: `Letaba.csv` contains soil chemical measurements of grassland and mopane savanna soil samples from near the Letaba Rest Camp in the Kruger National Park, South Africa).`Letaba.csv` has the following 14 columns:1. 'ID' (labelling each sample)2: 'Status' (identifying whether a sample is derived from grassland or mopane savanna)3–12: 'Na', 'Mg', 'K', 'Ca', 'P', 'S', 'B', 'Mn', 'Cu' and 'Zn' (soil chemical concentrations, all in mg per kg soil)13. 'C' (soil organic carbon, in %)14. 'pH'
DOI: 10.5281/zenodo.10551786
title: Data and Code for "Temperature-dependent variations in under-canopy herbaceous foliar diseases following shrub encroachment in grasslands"

description: Data and Code for "Temperature-dependent variations in under-canopy herbaceous foliar diseases following shrub encroachment in grasslands"
DOI: 10.5281/zenodo.10551787
title: Data and Code for "Temperature-dependent variations in under-canopy herbaceous foliar diseases following shrub encroachment in grasslands"

description: Data and Code for "Temperature-dependent variations in under-canopy herbaceous foliar diseases following shrub encroachment in grasslands"
DOI: 10.21227/w8qg-f824
title: PSCAD simulation model of D-PMSGs interfaced with AC power grid

description: The converter controller of wind turbine presents capacitive impedance characteristics with negative resistance at subsynchronous frequencies. When it is connected to weak AC power grid, it will form an LC resonant circuit with system-side inductance, and generate sub-/super-synchronous oscillations due to negative damping effect. A PSCAD simulation model of direct-drive wind farm connected to AC power grid is provided to study the above phenomenon.
DOI: 10.57745/fw9m8g
title: Figure S7.tab

description: :unav
DOI: 10.57745/y8gn2k
title: Figure S5B.tab

description: :unav
DOI: 10.57745/yto1bo
title: Figure S5A.tab

description: :unav
DOI: 10.57745/j45n3l
title: Figure S8.tab

description: :unav
DOI: 10.57745/ojb6ws
title: Fig S4-AuNP B1' H2O_0004.jpg

description: :unav
DOI: 10.57745/6fdirk
title: Fig S4-AuNP B1' H2O_0006.jpg

description: :unav
DOI: 10.57745/xzrvyv
title: Figure S4.tab

description: :unav
DOI: 10.57745/taen8u
title: Fig S4-AuNP B1' H2O_0013.jpg

description: :unav
DOI: 10.57745/zlpa0o
title: Fig S4-AuNP B1' H2O_0007.jpg

description: :unav
DOI: 10.57745/jqjiv8
title: Fig S4-AuNP B1' H2O_0009.jpg

description: :unav
DOI: 10.57745/r97oqs
title: Fig S4-AuNP B1' H2O_0011.jpg

description: :unav
DOI: 10.57745/dsjasd
title: Figure 4B.tab

description: :unav
DOI: 10.57745/3jxahb
title: Figure S17.tab

description: :unav
DOI: 10.57745/djk9ac
title: Figure 4C.tab

description: :unav
DOI: 10.57745/woai94
title: Figure 5.tab

description: :unav
DOI: 10.57745/wnsdqx
title: Figure 2 - right column.tab

description: :unav
DOI: 10.57745/qvh1ew
title: Figure 3.tab

description: :unav
DOI: 10.57745/uzf2xo
title: Figure S15.tab

description: :unav
DOI: 10.57745/vlq3jo
title: Figure S16A.tab

description: :unav
DOI: 10.57745/8beofy
title: Figure S16B.tab

description: :unav
DOI: 10.57745/do45ng
title: Figure 4A.tab

description: :unav
DOI: 10.57745/wkolby
title: Figure S13.tab

description: :unav
DOI: 10.57745/1wldni
title: Figure 1B.tab

description: :unav
DOI: 10.57745/zwf53w
title: Figure 1B-inset.tab

description: :unav
DOI: 10.57745/bndf7t
title: Figure S3A.tab

description: :unav
DOI: 10.57745/qs5i4k
title: Figure S20-inset.tab

description: :unav
DOI: 10.57745/eedxpg
title: Figure S21B.tab

description: :unav
DOI: 10.57745/zdscne
title: Figure S22B.tab

description: :unav
DOI: 10.57745/dbb4di
title: Figure 2-middle-bottom.tab

description: :unav
DOI: 10.57745/pzpqhx
title: Figure 2-middle-top.tab

description: :unav
DOI: 10.57745/hlufsl
title: Figure S3b.tab

description: :unav
DOI: 10.57745/qwzhyd
title: Figure S19.tab

description: :unav
DOI: 10.57745/s4edxs
title: Figure S22A.tab

description: :unav
DOI: 10.57745/xeprhl
title: Figure 2-middle-centre.tab

description: :unav
DOI: 10.57745/zexb5i
title: Figure S19-inset.tab

description: :unav
DOI: 10.57745/9cbbhi
title: Figure S20.tab

description: :unav
DOI: 10.57745/mbxlzw
title: Figure S2.tab

description: :unav
DOI: 10.57745/6ewzo5
title: Figure S21A.tab

description: :unav
DOI: 10.57745/vge0q8
title: Fig S10 top-AuNP BACl 1mM Tolmetin_0003.jpg

description: :unav
DOI: 10.57745/srn7vi
title: Fig S10 middle-AuNP BATB 1mM Tolmetin_0001.jpg

description: :unav
DOI: 10.57745/xadb4q
title: Fig 2 top-AuNP BACl_0030.jpg

description: :unav
DOI: 10.57745/lzq9oo
title: Fig 2 middle-AuNP BATB _0001.jpg

description: :unav
DOI: 10.57745/fblz7q
title: Fig S10 bottom-AuNP LiTB 1 mM Tolmetin_0000.jpg

description: :unav
DOI: 10.57745/o1hrdg
title: Fig 2 bottom-AuNP LiTB _0001.jpg

description: :unav
DOI: 10.57745/qjreyx
title: Figure S18.tab

description: :unav
DOI: 10.57745/r8hbwe
title: map tolmetin 1.6 µM_BATB 2.5mM_total.tab

description: :unav
DOI: 10.57745/macim0
title: map tolmetin 40µM_BATB 2.5mM_total.tab

description: :unav
DOI: 10.57745/uw9y9s
title: map tolmetin 1000µM_BATB 2.5mM_total.tab

description: :unav
DOI: 10.57745/m1w3o7
title: map tolmetin 200µM_BATB 2.5mM_total.tab

description: :unav
DOI: 10.57745/xohy0n
title: map tolmetin 8µM_BATB 2.5mM_total.tab

description: :unav
DOI: 10.57745/v6givr
title: map tolmetin 1000µM_BACl 1 mM_total.tab

description: :unav
DOI: 10.57745/72ydzm
title: map tolmetin 40µM_BACl 1mM_total.tab

description: :unav
DOI: 10.57745/hrnfph
title: map tolmetin 8µM_BACl 1mM_total.tab

description: :unav
DOI: 10.57745/welajx
title: map tolmetin 1.6µM_BACl 1 mM_ total.tab

description: :unav
DOI: 10.57745/mqo4uy
title: map tolmetin 200µM_BACl 1mM_total.tab

description: :unav
DOI: 10.57745/xon1l9
title: map tolmetin 1000µM_LiTB 2.5 mM total.tab

description: :unav
DOI: 10.57745/gr8nwv
title: map tolmetin 1.6µM_LiTB 2.5mM_total.tab

description: :unav
DOI: 10.57745/n79t2k
title: map tolmetin 8µM_LiTB 2.5 mM_total.tab

description: :unav
DOI: 10.57745/ues4wv
title: map tolmetin 200µM_LiTB 2.5 mM_total.tab

description: :unav
DOI: 10.57745/hpquxo
title: map tolmetin 40µM_LiTB 2.5mM_total.tab

description: :unav
DOI: 10.57745/7efgo6
title: Readme.txt

description: :unav
DOI: 10.5281/zenodo.1405254
title: Road network with roadscape vectors in Awaji Island, Japan

description: SummaryThis dataset contains road network with roadscape vectors in Awaji Island, Japan. The road network data is derived from OpenStreetMap, and it consists of 102,506 road nodes and 212,050 road links in the area of Awaji Island. Roadscape vectors are given to each road link.

Road network dataA road network is a directed graph G = (V, E), where  V is a road node set and E ⊆ V × V is a road link set. A road node vi ∈ V represents an intersection or an end point. A road link ek = (vi, vj) ∈ E represents a directed link from the starting node vi to the ending node vj.

Road nodes datam_road_nodes_latlng.csvRoad nodes are contained in the file m_road_nodes_latlng.csv. The number of road nodes is 102,506. Each line corresponds to one node.  These lines have the following format as tab delimited: node_id, lat, lngHere, node_id denotes a road node ID for identifying a road node. lat and lng denote latitude and longitude, respectively.

Road links datam_road_links_nodes.csvRoad links are contained in the file m_road_links_nodes.csv. The number of road links is 212,050. Each line corresponds to  one link. These lines have the following format as tab delimited: link_id, start_node_id, end_node_idHere, link_id denotes a road link ID for identifying a road link. start_node_id and end_node_id denote starting node ID and ending node ID, which refer to node_id in the file m_road_nodes_latlng.csv (i.e. the same node ID refers to the same road node across these files), respectively.

Roadscape vectorsA roadscape vector is defined as a four-dimensional probability vector composed of four kinds of roadscape elements, rural, mountainous, waterside, and urban elements. Each element of the vector denotes the probability of including the roadscape element. Therefore, the sum of values over all elements is 1.

Road link vectors datam_road_links_vector.csvRoadscape vectors of road links are contained in the file m_road_links_vector.csv. Each line corresponds to one link with its roadscape vector. These lines have the following format as tab delimited: link_id, rural, mountain, water, urbanHere, link_id denotes a road link ID, which refer to link_id in the file m_road_lonks_nodes.csv (i.e. the same link ID referes to the same road link across these files). The rural, mountain, water, and urban denote rural, mountainous, waterside, urban elements in its roadscape vector, respectively.

CitationTo make use of the dataset, please cite the following paper:



Koji Kawamata and Kenta Oku. Roadscape-based Route Recommender System using Coarse-to-fine Route Search, In Proceeding of the ACM RecSys Workshop on Recommenders in Tourism (RecTour 2018), pp.23--27, 2018.

Koji Kawamata and Kenta Oku. Roadscape-based route recommender system using coarse-to-fine route search. Journal of Information Processing, 27, pp.392–403. https://doi.org/10.2197/ipsjjip.27.392
DOI: 10.5281/zenodo.1405255
title: Road network with roadscape vectors in Awaji Island, Japan

description: SummaryThis dataset contains road network with roadscape vectors in Awaji Island, Japan. The road network data is derived from OpenStreetMap, and it consists of 102,506 road nodes and 212,050 road links in the area of Awaji Island. Roadscape vectors are given to each road link.

Road network dataA road network is a directed graph G = (V, E), where  V is a road node set and E ⊆ V × V is a road link set. A road node vi ∈ V represents an intersection or an end point. A road link ek = (vi, vj) ∈ E represents a directed link from the starting node vi to the ending node vj.

Road nodes datam_road_nodes_latlng.csvRoad nodes are contained in the file m_road_nodes_latlng.csv. The number of road nodes is 102,506. Each line corresponds to one node.  These lines have the following format as tab delimited: node_id, lat, lngHere, node_id denotes a road node ID for identifying a road node. lat and lng denote latitude and longitude, respectively.

Road links datam_road_links_nodes.csvRoad links are contained in the file m_road_links_nodes.csv. The number of road links is 212,050. Each line corresponds to  one link. These lines have the following format as tab delimited: link_id, start_node_id, end_node_idHere, link_id denotes a road link ID for identifying a road link. start_node_id and end_node_id denote starting node ID and ending node ID, which refer to node_id in the file m_road_nodes_latlng.csv (i.e. the same node ID refers to the same road node across these files), respectively.

Roadscape vectorsA roadscape vector is defined as a four-dimensional probability vector composed of four kinds of roadscape elements, rural, mountainous, waterside, and urban elements. Each element of the vector denotes the probability of including the roadscape element. Therefore, the sum of values over all elements is 1.

Road link vectors datam_road_links_vector.csvRoadscape vectors of road links are contained in the file m_road_links_vector.csv. Each line corresponds to one link with its roadscape vector. These lines have the following format as tab delimited: link_id, rural, mountain, water, urbanHere, link_id denotes a road link ID, which refer to link_id in the file m_road_lonks_nodes.csv (i.e. the same link ID referes to the same road link across these files). The rural, mountain, water, and urban denote rural, mountainous, waterside, urban elements in its roadscape vector, respectively.

CitationTo make use of the dataset, please cite the following paper:



Koji Kawamata and Kenta Oku. Roadscape-based Route Recommender System using Coarse-to-fine Route Search, In Proceeding of the ACM RecSys Workshop on Recommenders in Tourism (RecTour 2018), pp.23--27, 2018.

Koji Kawamata and Kenta Oku. Roadscape-based route recommender system using coarse-to-fine route search. Journal of Information Processing, 27, pp.392–403. https://doi.org/10.2197/ipsjjip.27.392
DOI: 10.6084/m9.figshare.24981567
title: Effect of the postural abnormality correction on swimmers’ anterior shoulder pain dataset

description: Dataset of the manuscript.
DOI: 10.6084/m9.figshare.24981567.v1
title: Effect of the postural abnormality correction on swimmers’ anterior shoulder pain among youth swimmers

description: Dataset of the manuscript.
DOI: 10.6084/m9.figshare.24981567.v2
title: Effect of the postural abnormality correction on swimmers’ anterior shoulder pain dataset

description: Dataset of the manuscript.
DOI: 10.6084/m9.figshare.25046021
title: English Cocker Spaniels under primary veterinary care in the UK: disorder predispositions and protections

description: Background: The English Cocker Spaniel (ECS) is one of the most popular dog breeds in the UK but information on disorder predisposition and protection is limited. Using anonymised veterinary clinical data from the VetCompass™ Programme, this study aimed to compare disorder predisposition and protection between the ECS and the remaining dogs under primary veterinary care in the UK during 2016. Electronic patient records for random samples of ECS and non-ECS were reviewed. The most common disorders diagnosed during 2016 were extracted and compared using multivariable logistic regression, controlling for confounders.Results: The analysis included random samples of 2510/10,313 (24.3%) ECS and 7813/326,552 (2.39%) non-ECS. After accounting for confounding by age, sex, bodyweight within breed-sex, insurance status and veterinary practice group, the ECS had increased odds of 21/43 (48.85%) disorders at fine-level precision, with highest odds for aural discharge (odds ratio (OR) 14.66, 95% confidence interval (CI): 7.73–30.90, P &lt; 0.001) and keratoconjunctivitis sicca (OR 7.64, 95% CI: 4.33 –14.14, P &lt; 0.001) and lowest odds for atopic dermatitis (OR 0.14, 95% CI: 0.05–0.31, P &lt; 0.001) and allergy (OR 0.14, 95% CI: 0.06–0.28, P &lt; 0.001).Conclusions: This study provides evidence for strong predisposition to aural and ocular disorders and protection from hypersensitivity disorders in the ECS. These results can aid dog owners, breeders, and veterinarians to better monitor health in ECS, and promote earlier diagnosis with improved prognosis. Further, the results can help breeding organisations establish key priorities the health-based reforms of the ECS.
DOI: 10.17632/5bg3j9zpg5.1
title: Data for: Life Cycle Assessment of different physical-chemical and biological technologies for biogas desulfurization in sewage treatment plants

description: This dataset supports the article "Cano, P. I., Colón, J., Ramírez, M., Lafuente, J., Gabriel, D., & Cantero, D. (2018). Life cycle assessment of different physical-chemical and biological technologies for biogas desulfurization in sewage treatment plants. Journal of Cleaner Production, 181, 663–674"
DOI: 10.17632/jt9frcrgfm.1
title: Data for Dioecy Hotspots in Southeast Florida, Especially Saw Palmetto (Serenoa repens) Thickets

description: Data for manuscript , "Dioecy Hotspots in Southeast Florida, Especially Saw Palmetto (Serenoa repens) Thickets" Present is a list of field sites, dioecious species inventories at those sites, and related data on woody plants inventoried on depression marsh hummocks in the same area, Palm Beach and Martin Co., FL.
DOI: 10.17632/w3f23bwm6m.1
title: The differentially expressed proteins in WT liver tissues and FetA KO liver tissues of NIAAA model mice

description: To explore the potential role of FetA in AFLD, FetA KO mice were subjected to the National Institute on Alcohol Abuse and Alcoholism (NIAAA) model for in vivo analysis. The liver protein in EtOH-fed FetA WT and KO mice was extracted (Boster Bio-logical Technology, Zhejiang, China). Liquid chromatography-mass spectrometry-tandem mass spectrometry was used to analyze Peptides. The protein of RAW data was identified and quantified by Proteome Discoverer2.5/Spectronaut16. The differentially expressed proteins in WT liver tissues and FetA KO liver tissues was identified by R/Bioconductor package limma v.3.24.15. Proteins with Log2FC ＞ 0.585 were included, and P &lt; 0.05 was considered significant. R-base (v.3.4.3) is used to perform calculations and visualizations. In this study, we found that FetA knockout or knockdown significantly reduced hepatic lipid droplet accumulation, oxidative stress, and inflammation in AFLD mice. FetA deletion leads to increase of autophagy flux and results in decreased TLR4 protein levels, subsequently inhibiting the NF-kB signaling pathway and the formation of pro-inflammatory M1 macrophages and then reducing the release of inflammatory cytokines. In short, our study indicates that inhibition of FetA could help prevent or reverse the progression of AFLD, and the FetA-TLR4 axis may be a target for AFLD drug development.
DOI: 10.17632/w3f23bwm6m.2
title: The differentially expressed proteins in WT liver tissues and FetA KO liver tissues of NIAAA model mice

description: To explore the potential role of FetA in AFLD, FetA KO mice were subjected to the National Institute on Alcohol Abuse and Alcoholism (NIAAA) model for in vivo analysis. The liver protein in EtOH-fed FetA WT and KO mice was extracted. The protein of RAW data was identified and quantified by Proteome Discoverer2.5/Spectronaut16. The differentially expressed proteins in WT liver tissues and FetA KO liver tissues was identified by R/Bioconductor package limma v.3.24.15. Proteins with |Log2FC| ＞ 0.585 were included, and P &lt; 0.05 was considered significant. R-base (v.3.4.3) is used to perform calculations and visualizations. In this study, we found that FetA knockout or knockdown significantly reduced hepatic lipid droplet accumulation, oxidative stress, and inflammation in AFLD mice. FetA deletion leads to increase of autophagy flux and results in decreased TLR4 protein levels, subsequently inhibiting the NF-kB signaling pathway and the formation of pro-inflammatory M1 macrophages and then reducing the release of inflammatory cytokines. In short, our study indicates that inhibition of FetA could help prevent or reverse the progression of AFLD, and the FetA-TLR4 axis may be a target for AFLD drug development.
DOI: 10.17632/mp5shwb237.1
title: assessment of many WQI models and development of new models

description: Water quality index (WQI) is a widely used term to assess water quality. In all WQI models, selected parameters data are transformed into many steps to a single number. Since the work of Horton (1965), a lot of WQI models have been developed. However, all models suffer from many problems such as they are developed based on site-specific standards for a particular region and they give eclipsing, dichotomous, ambiguity, rigidity, and uncertainty.
 In the present work, many logical conditions are set to test many applicable WQI models. The results showed that all of the tested models failed to pass the test. There is a need for universal WQI that can be applied universally covering different uses of water and at the same time can pass the above logical conditions. The present work aims to develop such a model. New four WQI models (referred to as M1WQI, M2WQI, M3WQI, and M4WQI) are developed in this work and it is found that it passed all of the set conditions. Moreover, it can be applied universally (regardless of the standard used) and for any purpose of water use (drinking, recreational, irrigation, industrial)
DOI: 10.6084/m9.figshare.25046057
title: Data and Publication List for TIR Study

description: <b>"Time in Range" in Blood Sugar Monitoring- A Bibliometric Analysis and Fuzzy AHP Approach</b>Authors<sup>1</sup>Vinaytosh Mishra, <sup>1</sup>Mahir Jallo, <sup>2</sup>Mohan R Tanniru, <sup>1</sup>Jayadevan Sreedharan<sup>1</sup>Gulf Medical University, Ajman, UAE<sup>2</sup>Mel and Enid Zuckerman College of Public Health, University of Arizona, USA<b>Background</b>Time in Range (TIR) is more than just a metric; it represents a paradigm shift in diabetes management. By focusing on the broader landscape of glucose control, TIR prioritizes overall well-being, daily experiences, and long-term health. As technology and understanding evolve, patients and healthcare professionals must harness the power of this metric, optimizing diabetes care for the future.<b>Methods</b>This study uses bibliometric analysis to analyze the rising interest in TIR in diabetes management. The study uses metanalysis to analyze the advantage of TIR over HbA1c. The study utilizes open-source tools such as VOSviewer for Bibliometrix for bibliometric analysis. At the same time, it uses a narrative review of extant literature to analyze the advantage of TIR over the prevailing method of monitoring glycemic control. The study then uses Fuzzy -Analytical Hierarchy Approach to prioritize the challenges to implementing TIR in clinical practice. The focus group used for decision-making included fifteen experienced professionals working in diabetes speciality clinics in India with experience using continuous glucose monitoring (CGM) in their clinical settings.<b>Results</b>The results of the study suggest that there is rising interest in TIR among the researchers. The narrative review of the results suggests that the major advantages of TIR are a Holistic View of Blood Sugar, Enhanced Personalization, Immediate Feedback, Improved Quality of Life, Reduced Risk of Complication, and Patient Empowerment. The challenges identified in the study are the Cost of Device, Accuracy Concern, Data Overwhelm, Physical Discomfort, Mental and Emotional Strain, and Education Gap. The study finds that the Cost of the Device is the most important concern in adopting CGM and using TIR in clinical settings. Contrary to belief, Accuracy concern was the least important challenge.<b>Conclusions</b>Time in the range has significant advantages over traditional approaches of glucose monitoring, such as HBA1c. The study highlights its importance in diabetes management. The study further analyses the challenges associated with adopting TIR in clinical settings, thus providing a framework for using TIR in diabetes management. The study findings are useful for practitioners and policymakers in diabetes management.Keywords: Diabetes Management, Continuous monitoring of glucose, Time in Range, Bibliometric Analysis, Fuzzy-AHP<br><br>