cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20513949
title: Spatial Modeling of Vaccine Deserts as Barriers to Controlling SARS-CoV-2 (Main Figure Data)

description: Source data for the main figures of Spatial Modeling of Vaccine Deserts as Barriers to Controlling SARS-CoV-2
DOI: 10.6084/m9.figshare.20513949.v1
title: Spatial Modeling of Vaccine Deserts as Barriers to Controlling SARS-CoV-2 (Main Figure Data)

description: Source data for the main figures of Spatial Modeling of Vaccine Deserts as Barriers to Controlling SARS-CoV-2
DOI: 10.5281/zenodo.7043646
title: Dataset - Antibiotic persistence of intracellular Brucella abortus

description: Dataset for the manuscript "Antibiotic persistence of intracellular <em>Brucella abortus</em>" published at PLoS Neglected Tropical Diseases, July 2022. ( https://doi.org/10.1371/journal.pntd.0010635). Data corresponding to each main figure are in separate .zip folders. Metadata compiled in a separated file.
DOI: 10.5281/zenodo.7043645
title: Dataset - Antibiotic persistence of intracellular Brucella abortus

description: Dataset for the manuscript "Antibiotic persistence of intracellular <em>Brucella abortus</em>" published at PLoS Neglected Tropical Diseases, July 2022. ( https://doi.org/10.1371/journal.pntd.0010635). Data corresponding to each main figure are in separate .zip folders. Metadata compiled in a separated file.
DOI: 10.6084/m9.figshare.20480703
title: MASTER Data Sheet_April 2022.xlsx

description: Excel sheet containing swimming kinematics data from 6 juvenile and six neonate epaulette sharks. See Porter et al, 2022 for descriptions of all variables.
DOI: 10.6084/m9.figshare.20480703.v1
title: MASTER Data Sheet_April 2022.xlsx

description: Excel sheet containing swimming kinematics data from 6 juvenile and six neonate epaulette sharks. See Porter et al, 2022 for descriptions of all variables.
DOI: 10.6084/m9.figshare.20275620
title: Kinetic, thermodynamic and physical-chemical study of the removal of copper from cachaça using coconut fibers

description: The use of coconut fiber as a copper adsorbent in cachaça was optimised, and changes in the chemical quality of the beverage were observed by analytical techniques. The influence of the adsorbent mass and copper concentration parameters was investigated using the Central Composite Design, and the optimum condition was obtained through the use of Response Surface Methodology. The equilibrium of the adsorption reaction was obtained within 120 min. The kinetic data were better adjusted for the Elovich model (Elovich and Zhabrova 1939) and the isotherm data for the Sips model (Sips 1948). The maximum adsorption capacity was 1.38 mg g<sup>−1</sup>. Slight changes in the physicochemical quality of the beverage were observed, including a decrease in volatile acidity and alcohol content. Copper levels in cachaça decreased from 8.57 mg L<sup>−1</sup> to 4.97 mg L<sup>−1</sup> after adsorption. Therefore, the use of biomass as a metal ion adsorbent in beverages can be successfully employed.
DOI: 10.6084/m9.figshare.20275620.v1
title: Kinetic, thermodynamic and physical-chemical study of the removal of copper from cachaça using coconut fibers

description: The use of coconut fiber as a copper adsorbent in cachaça was optimised, and changes in the chemical quality of the beverage were observed by analytical techniques. The influence of the adsorbent mass and copper concentration parameters was investigated using the Central Composite Design, and the optimum condition was obtained through the use of Response Surface Methodology. The equilibrium of the adsorption reaction was obtained within 120 min. The kinetic data were better adjusted for the Elovich model (Elovich and Zhabrova 1939) and the isotherm data for the Sips model (Sips 1948). The maximum adsorption capacity was 1.38 mg g<sup>−1</sup>. Slight changes in the physicochemical quality of the beverage were observed, including a decrease in volatile acidity and alcohol content. Copper levels in cachaça decreased from 8.57 mg L<sup>−1</sup> to 4.97 mg L<sup>−1</sup> after adsorption. Therefore, the use of biomass as a metal ion adsorbent in beverages can be successfully employed.
DOI: 10.6084/m9.figshare.20402677
title: Presence and risks of polycyclic aromatic hydrocarbons, dioxins and dioxin-like PCBs in dietary plant supplements as elucidated by a combined DR CALUX<sup>®</sup> bioassay and GC-HRMS based approach

description: Plant-based dietary supplements may contain undesirable contaminants such as polycyclic aromatic hydrocarbons, dioxins and dioxin-like polychlorinated biphenyls (dl-PCBs) due to the sources of raw materials or processing methods used. The presence of these contaminants in a series of herbal supplements sold on the Ghanaian market for improving sexual performance was examined using the DR CALUX<sup>®</sup> bioassay in combination with GC-HRMS analysis. Overall, cell responses at 4 and 48 h exposure to extracts prepared without an acid-silica clean-up were relatively higher than the responses obtained from extracts prepared with an acid-silica clean-up. This indicated that the 40 supplements contained only low levels of stable aryl hydrocarbon receptor (AhR) agonists like polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and dl-PCBs, while some contained substantial amounts of less stable AhR-agonists. Ten supplements selected for confirmation with GC-HRMS analysis contained PCDD/Fs and dl-PCBs at levels ranging from 0.01 to 0.19 pg toxic equivalent (TEQ)/g only, while the level of the sum of 4 polycyclic aromatic hydrocarbons (Σ4PAHs) representing less stable AhR agonists, ranged from not detected (ND) to 25.5 ng/g. These concentrations were in line with the responses observed in the DR CALUX<sup>®</sup> bioassay. The concentration of PCDD/Fs and dl-PCBs corresponded to estimated daily intakes (EDIs) ranging from 0.01 to 1.20 pg TEQ/day, or 0.001 to 0.12 pg TEQ/kg bw/week for a 70 kg bw consumer, which was below the established tolerable weekly intake (TWI) of 2 pg TEQ/kg bw/week, thus indicating low concern for consumers’ health. Similarly, the EDIs based on the detected Σ4PAHs in supplements ranged from 7.2 to 111 ng/day, or 0.1 to 1.6 ng/kg bw/day, which corresponded to MOE values above 10,000, indicating a low health concern.
DOI: 10.6084/m9.figshare.20402677.v1
title: Presence and risks of polycyclic aromatic hydrocarbons, dioxins and dioxin-like PCBs in dietary plant supplements as elucidated by a combined DR CALUX<sup>®</sup> bioassay and GC-HRMS based approach

description: Plant-based dietary supplements may contain undesirable contaminants such as polycyclic aromatic hydrocarbons, dioxins and dioxin-like polychlorinated biphenyls (dl-PCBs) due to the sources of raw materials or processing methods used. The presence of these contaminants in a series of herbal supplements sold on the Ghanaian market for improving sexual performance was examined using the DR CALUX<sup>®</sup> bioassay in combination with GC-HRMS analysis. Overall, cell responses at 4 and 48 h exposure to extracts prepared without an acid-silica clean-up were relatively higher than the responses obtained from extracts prepared with an acid-silica clean-up. This indicated that the 40 supplements contained only low levels of stable aryl hydrocarbon receptor (AhR) agonists like polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and dl-PCBs, while some contained substantial amounts of less stable AhR-agonists. Ten supplements selected for confirmation with GC-HRMS analysis contained PCDD/Fs and dl-PCBs at levels ranging from 0.01 to 0.19 pg toxic equivalent (TEQ)/g only, while the level of the sum of 4 polycyclic aromatic hydrocarbons (Σ4PAHs) representing less stable AhR agonists, ranged from not detected (ND) to 25.5 ng/g. These concentrations were in line with the responses observed in the DR CALUX<sup>®</sup> bioassay. The concentration of PCDD/Fs and dl-PCBs corresponded to estimated daily intakes (EDIs) ranging from 0.01 to 1.20 pg TEQ/day, or 0.001 to 0.12 pg TEQ/kg bw/week for a 70 kg bw consumer, which was below the established tolerable weekly intake (TWI) of 2 pg TEQ/kg bw/week, thus indicating low concern for consumers’ health. Similarly, the EDIs based on the detected Σ4PAHs in supplements ranged from 7.2 to 111 ng/day, or 0.1 to 1.6 ng/kg bw/day, which corresponded to MOE values above 10,000, indicating a low health concern.
DOI: 10.6084/m9.figshare.20203943
title: False positive effect of sulfur sources used in growing and processing of vine (<i>Vitis Vinifera</i> L.) leaves on the results of dithiocarbamate analysis based on carbon disulfide measurement

description: Vine leaves, which are produced fresh, brined or fermented from the leaves of <i>Vitis Vinifera</i> in Türkiye are an important food. Sulfur is used as a pesticide and sulfur compounds can be used as additives during the growing and processing of the vine leaves. These sulfur sources cause positive results on carbon disulfide (CS<sub>2</sub>) measurements by GC-MS. Therefore, the main objective of the present study was to investigate the effects of residues of sulfur or sulfur compounds on dithiocarbamate analysis methods based on CS<sub>2</sub> measurement. For this, vine leaves were produced by controlled agricultural production and processed as brine under controlled conditions. The sulfur dioxide (SO<sub>2</sub>) and dithiocarbamate analysis were carried out on the vine leave obtained by applying sulfur spraying in agricultural treatments and brined vine leaves produced by adding sodium metabisulfite (SM), and control samples of each stage. SO<sub>2</sub> was not detected in any of the samples in this study. SO<sub>2</sub> residues did not occur in the vine leaves as a result of the sulfur spraying application and therefore did not have a false positive effect on dithiocarbamate analysis. However, approximately 0.15 mg kg<sup>−1</sup> false positive dithiocarbamate was detected, which is thought to originate from natural sulfur in the vine leaves. The effect of SM, which was used in low concentration in the production of brined vine leaves, on dithiocarbamate results was limited. Even if SM was not used, the total false positive dithiocarbamate result in the brined vine leaves production process was approximately determined as 0.20 mg kg<sup>−1</sup>. This study showed that the dithiocarbamates analysis method based on CS<sub>2</sub> measurement may lead to false positive results in brined vine leaves since sulfur compounds are found naturally in vine leaves.
DOI: 10.6084/m9.figshare.20203943.v1
title: False positive effect of sulfur sources used in growing and processing of vine (<i>Vitis Vinifera</i> L.) leaves on the results of dithiocarbamate analysis based on carbon disulfide measurement

description: Vine leaves, which are produced fresh, brined or fermented from the leaves of <i>Vitis Vinifera</i> in Türkiye are an important food. Sulfur is used as a pesticide and sulfur compounds can be used as additives during the growing and processing of the vine leaves. These sulfur sources cause positive results on carbon disulfide (CS<sub>2</sub>) measurements by GC-MS. Therefore, the main objective of the present study was to investigate the effects of residues of sulfur or sulfur compounds on dithiocarbamate analysis methods based on CS<sub>2</sub> measurement. For this, vine leaves were produced by controlled agricultural production and processed as brine under controlled conditions. The sulfur dioxide (SO<sub>2</sub>) and dithiocarbamate analysis were carried out on the vine leave obtained by applying sulfur spraying in agricultural treatments and brined vine leaves produced by adding sodium metabisulfite (SM), and control samples of each stage. SO<sub>2</sub> was not detected in any of the samples in this study. SO<sub>2</sub> residues did not occur in the vine leaves as a result of the sulfur spraying application and therefore did not have a false positive effect on dithiocarbamate analysis. However, approximately 0.15 mg kg<sup>−1</sup> false positive dithiocarbamate was detected, which is thought to originate from natural sulfur in the vine leaves. The effect of SM, which was used in low concentration in the production of brined vine leaves, on dithiocarbamate results was limited. Even if SM was not used, the total false positive dithiocarbamate result in the brined vine leaves production process was approximately determined as 0.20 mg kg<sup>−1</sup>. This study showed that the dithiocarbamates analysis method based on CS<sub>2</sub> measurement may lead to false positive results in brined vine leaves since sulfur compounds are found naturally in vine leaves.
DOI: 10.6084/m9.figshare.20346445
title: FumDSB can alleviate the inflammatory response induced by fumonisin B<sub>1</sub> in growing pigs

description: Fumonisin B<sub>1</sub> (FB<sub>1</sub>) has the highest natural contamination rate among all fumonisin analogs and can inhibit food intake and weight gain of pigs. Under laboratory conditions, carboxylesterase FumDSB has a high FB<sub>1</sub> degradation rate and excellent pH and thermal stability. The present study sought to estimate the effects of FumDSB on growing pigs from the perspective of a brain–intestinal axis. Twenty-four growing pigs of similar weight were divided into Control, FB<sub>1</sub> (5 mg FB<sub>1</sub>/kg feed), and FumDSB (5 mg FB<sub>1</sub>/kg and 0.1% FumDSB in the feed) groups. After 42 days of feeding, hypothalamus and jejunum samples were collected for quantitative real-time fluorescence, western blotting, and immunohistochemistry. The results showed that FB<sub>1</sub> consumption can destruct the tissue structure of hypothalamus and jejunum, affect the expression and distribution of several appetite-related neuropeptides and inflammatory cytokines, thereby inducing neuroinflammatory responses and affecting food intake and weight gain. However, these anorexia effects and inflammatory responses are alleviated when FumDSB is added to the feed. In short, FumDSB can alleviate the inflammatory response induced by FB<sub>1</sub> in growing pigs.
DOI: 10.25574/61751
title: Chandra X-ray Observatory ObsId 61751
DOI: 10.25574/61752
title: Chandra X-ray Observatory ObsId 61752
DOI: 10.25574/61755
title: Chandra X-ray Observatory ObsId 61755
DOI: 10.25574/61756
title: Chandra X-ray Observatory ObsId 61756
DOI: 10.25574/61759
title: Chandra X-ray Observatory ObsId 61759
DOI: 10.25574/61761
title: Chandra X-ray Observatory ObsId 61761
DOI: 10.25574/61765
title: Chandra X-ray Observatory ObsId 61765
DOI: 10.25574/61766
title: Chandra X-ray Observatory ObsId 61766
DOI: 10.25574/61769
title: Chandra X-ray Observatory ObsId 61769
DOI: 10.25574/61771
title: Chandra X-ray Observatory ObsId 61771
DOI: 10.25574/61775
title: Chandra X-ray Observatory ObsId 61775
DOI: 10.25574/61779
title: Chandra X-ray Observatory ObsId 61779
DOI: 10.25574/61782
title: Chandra X-ray Observatory ObsId 61782
DOI: 10.25574/61790
title: Chandra X-ray Observatory ObsId 61790
DOI: 10.25574/61792
title: Chandra X-ray Observatory ObsId 61792
DOI: 10.25574/61797
title: Chandra X-ray Observatory ObsId 61797
DOI: 10.25574/61798
title: Chandra X-ray Observatory ObsId 61798
DOI: 10.25574/61804
title: Chandra X-ray Observatory ObsId 61804
DOI: 10.25574/61805
title: Chandra X-ray Observatory ObsId 61805
DOI: 10.25574/61809
title: Chandra X-ray Observatory ObsId 61809
DOI: 10.25574/61810
title: Chandra X-ray Observatory ObsId 61810
DOI: 10.25574/61816
title: Chandra X-ray Observatory ObsId 61816
DOI: 10.25574/61820
title: Chandra X-ray Observatory ObsId 61820
DOI: 10.25574/61825
title: Chandra X-ray Observatory ObsId 61825
DOI: 10.25574/61828
title: Chandra X-ray Observatory ObsId 61828
DOI: 10.25574/61832
title: Chandra X-ray Observatory ObsId 61832
DOI: 10.25574/61833
title: Chandra X-ray Observatory ObsId 61833
DOI: 10.25574/61834
title: Chandra X-ray Observatory ObsId 61834
DOI: 10.25574/61836
title: Chandra X-ray Observatory ObsId 61836
DOI: 10.25574/61839
title: Chandra X-ray Observatory ObsId 61839
DOI: 10.25574/61840
title: Chandra X-ray Observatory ObsId 61840
DOI: 10.25574/61842
title: Chandra X-ray Observatory ObsId 61842
DOI: 10.25574/61844
title: Chandra X-ray Observatory ObsId 61844
DOI: 10.25574/61847
title: Chandra X-ray Observatory ObsId 61847
DOI: 10.25574/61851
title: Chandra X-ray Observatory ObsId 61851
DOI: 10.25574/61853
title: Chandra X-ray Observatory ObsId 61853
DOI: 10.25574/61856
title: Chandra X-ray Observatory ObsId 61856
DOI: 10.25574/61859
title: Chandra X-ray Observatory ObsId 61859
DOI: 10.25574/61861
title: Chandra X-ray Observatory ObsId 61861
DOI: 10.25574/61862
title: Chandra X-ray Observatory ObsId 61862
DOI: 10.25574/61863
title: Chandra X-ray Observatory ObsId 61863
DOI: 10.25574/61864
title: Chandra X-ray Observatory ObsId 61864
DOI: 10.25574/61865
title: Chandra X-ray Observatory ObsId 61865
DOI: 10.25574/61866
title: Chandra X-ray Observatory ObsId 61866
DOI: 10.25574/61871
title: Chandra X-ray Observatory ObsId 61871
DOI: 10.25574/61872
title: Chandra X-ray Observatory ObsId 61872
DOI: 10.25574/61874
title: Chandra X-ray Observatory ObsId 61874
DOI: 10.25574/61875
title: Chandra X-ray Observatory ObsId 61875
DOI: 10.25574/61877
title: Chandra X-ray Observatory ObsId 61877
DOI: 10.25574/61879
title: Chandra X-ray Observatory ObsId 61879
DOI: 10.25574/61885
title: Chandra X-ray Observatory ObsId 61885
DOI: 10.25574/61887
title: Chandra X-ray Observatory ObsId 61887
DOI: 10.25574/61889
title: Chandra X-ray Observatory ObsId 61889
DOI: 10.25574/61891
title: Chandra X-ray Observatory ObsId 61891
DOI: 10.25574/61893
title: Chandra X-ray Observatory ObsId 61893
DOI: 10.25574/61896
title: Chandra X-ray Observatory ObsId 61896
DOI: 10.25574/61897
title: Chandra X-ray Observatory ObsId 61897
DOI: 10.25574/61898
title: Chandra X-ray Observatory ObsId 61898
DOI: 10.25574/61900
title: Chandra X-ray Observatory ObsId 61900
DOI: 10.25574/61902
title: Chandra X-ray Observatory ObsId 61902
DOI: 10.25574/61907
title: Chandra X-ray Observatory ObsId 61907
DOI: 10.25574/61909
title: Chandra X-ray Observatory ObsId 61909
DOI: 10.25574/61910
title: Chandra X-ray Observatory ObsId 61910
DOI: 10.25574/61912
title: Chandra X-ray Observatory ObsId 61912
DOI: 10.25574/61913
title: Chandra X-ray Observatory ObsId 61913
DOI: 10.25574/61917
title: Chandra X-ray Observatory ObsId 61917
DOI: 10.25574/61919
title: Chandra X-ray Observatory ObsId 61919
DOI: 10.25574/61921
title: Chandra X-ray Observatory ObsId 61921
DOI: 10.25574/61924
title: Chandra X-ray Observatory ObsId 61924
DOI: 10.25574/61926
title: Chandra X-ray Observatory ObsId 61926
DOI: 10.25574/61930
title: Chandra X-ray Observatory ObsId 61930
DOI: 10.25574/61931
title: Chandra X-ray Observatory ObsId 61931
DOI: 10.25574/61932
title: Chandra X-ray Observatory ObsId 61932
DOI: 10.25574/61935
title: Chandra X-ray Observatory ObsId 61935
DOI: 10.25574/61937
title: Chandra X-ray Observatory ObsId 61937
DOI: 10.25574/61938
title: Chandra X-ray Observatory ObsId 61938
DOI: 10.25574/61940
title: Chandra X-ray Observatory ObsId 61940
DOI: 10.25574/61942
title: Chandra X-ray Observatory ObsId 61942
DOI: 10.25574/61943
title: Chandra X-ray Observatory ObsId 61943
DOI: 10.25574/61945
title: Chandra X-ray Observatory ObsId 61945
DOI: 10.25574/61946
title: Chandra X-ray Observatory ObsId 61946
DOI: 10.25574/61947
title: Chandra X-ray Observatory ObsId 61947
DOI: 10.25574/61949
title: Chandra X-ray Observatory ObsId 61949
DOI: 10.25574/61950
title: Chandra X-ray Observatory ObsId 61950
DOI: 10.25574/61951
title: Chandra X-ray Observatory ObsId 61951
DOI: 10.25574/61953
title: Chandra X-ray Observatory ObsId 61953
DOI: 10.25574/61954
title: Chandra X-ray Observatory ObsId 61954
DOI: 10.25574/61956
title: Chandra X-ray Observatory ObsId 61956
DOI: 10.25574/61957
title: Chandra X-ray Observatory ObsId 61957
DOI: 10.25574/61958
title: Chandra X-ray Observatory ObsId 61958
DOI: 10.25574/61959
title: Chandra X-ray Observatory ObsId 61959
DOI: 10.25574/61960
title: Chandra X-ray Observatory ObsId 61960
DOI: 10.25574/61961
title: Chandra X-ray Observatory ObsId 61961
DOI: 10.25574/61962
title: Chandra X-ray Observatory ObsId 61962
DOI: 10.25574/61963
title: Chandra X-ray Observatory ObsId 61963
DOI: 10.25574/61967
title: Chandra X-ray Observatory ObsId 61967
DOI: 10.25574/61968
title: Chandra X-ray Observatory ObsId 61968
DOI: 10.25574/61969
title: Chandra X-ray Observatory ObsId 61969
DOI: 10.25574/61970
title: Chandra X-ray Observatory ObsId 61970
DOI: 10.25574/61972
title: Chandra X-ray Observatory ObsId 61972
DOI: 10.25574/61973
title: Chandra X-ray Observatory ObsId 61973
DOI: 10.25574/61975
title: Chandra X-ray Observatory ObsId 61975
DOI: 10.25574/61976
title: Chandra X-ray Observatory ObsId 61976
DOI: 10.25574/61977
title: Chandra X-ray Observatory ObsId 61977
DOI: 10.25574/61978
title: Chandra X-ray Observatory ObsId 61978
DOI: 10.25574/61980
title: Chandra X-ray Observatory ObsId 61980
DOI: 10.25574/61981
title: Chandra X-ray Observatory ObsId 61981
DOI: 10.25574/61984
title: Chandra X-ray Observatory ObsId 61984
DOI: 10.25574/61985
title: Chandra X-ray Observatory ObsId 61985
DOI: 10.25574/61986
title: Chandra X-ray Observatory ObsId 61986
DOI: 10.25574/61987
title: Chandra X-ray Observatory ObsId 61987
DOI: 10.25574/61988
title: Chandra X-ray Observatory ObsId 61988
DOI: 10.25574/61989
title: Chandra X-ray Observatory ObsId 61989
DOI: 10.25574/61990
title: Chandra X-ray Observatory ObsId 61990
DOI: 10.25574/61991
title: Chandra X-ray Observatory ObsId 61991
DOI: 10.25574/61992
title: Chandra X-ray Observatory ObsId 61992
DOI: 10.25574/61996
title: Chandra X-ray Observatory ObsId 61996
DOI: 10.25574/61997
title: Chandra X-ray Observatory ObsId 61997
DOI: 10.25574/61998
title: Chandra X-ray Observatory ObsId 61998
DOI: 10.6084/m9.figshare.19137374.v1
title: Duganella vulcania sp. nov., Rugamonas fusca sp. nov., Rugamonas brunnea sp. nov. and Rugamonas apoptosis sp. nov., isolated from subtropical streams, in China and phylogenomic analyses of the genera Janthinobacterium, Duganella, Rugamonas, Pseudoduganella and Massilia

description: Supplementary Material for ‘<em>Duganella vulcania</em> sp. nov., <em>Rugamonas fusca</em> sp. nov., <em>Rugamonas brunnea</em> sp. nov. and <em>Rugamonas apoptosis</em> sp. nov., isolated from subtropical streams, and phylogenomic analyses of the genera Janthinobacterium, Duganella, Rugamonas, Pseudoduganella and Massilia’, as published in <em>International Journal of Systematic and Evolutionary Microbiology</em>.
DOI: 10.34740/kaggle/dsv/4152703
title: Mahanagar Yatayat Dataset
DOI: 10.5525/gla.researchdata.1318
title: Direct numerical simulations of turbulent channel flow over ratchet roughness

description: This data set contains mean flow, Reynolds stress, and dispersive stress statistics for the cases discussed in the paper. For file naming conventions and contents please refer to enclosed documentation.
DOI: 10.6084/m9.figshare.20804476
title: Time from incident malaria infection to gametocyte initiation or malaria clearance under double-interval-censoring and competing risks

description: This dataset is the example data used for the paper by Ramjith et al. (2022) in which they describe flexible time-to-event models for double-interval-censored data with a competing risks. The survival times are thus specified by two intervals (L0time, R0time] and (L1time, R1time]. There is a state indicator for right-censoring (state=1), gametocyte initiation (state=2) and malaria clearance (state=3). There is also a special overlap indicator to indicate whether gametocytes were detected at the moment of detection of parasites. All covariates analyzed are included here; from host characteristics to parasite characteristics.