cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7035286
title: Single cell annotations in 3D bacterial biofilms of Vibrio cholerae

description: This dataset comprises both 3D raw microscopy images and corresponding 3D label images, in which each cell has been annotated,. The annotation was performed either using a semi-manual annotation scheme, or a fully manual annotation, as indicated in the file names. The semi-manual annotation data is available for 5 different biofilm colonies of Vibrio cholerae (biofilm_1, biofilm_2, biofilm_3, biofilm_4, biofilm_5). The fully manual annotation was performed on a sub-region of "biofilm_1". For this sub-region of biofilm_1 a semi-manual annotation is also available. The image resolution is as follows: z-resolution = 100 nm. xy-resolution: 65nm/px. Images were acquired using a spinning disk confocal microscope (Nikon Ti-E with Yokogawa CSU), equipped with a silicon oil 100x (NA 1.35, Olympus) objective, and an EMCCD camera (Andor iXon Ultra 888). The cells express a superfolder-GFP in the cytoplasm, which was excited using a 488nm laser. The V. cholerae strain that was used has the designation KDV613. Further information about this dataset is available in the associated journal publication, with title "Single-cell segmentation in bacterial biofilms with optimized convolutional neural networks enables tracking of cell lineages and measurements of growth rates".
DOI: 10.5281/zenodo.7035285
title: Single cell annotations in 3D bacterial biofilms of Vibrio cholerae

description: This repository contains the data to reproduce the study `Single-cell segmentation in bacterial biofilms with optimized convolutional neural networks enables tracking of cell lineages and measurements of growth rates` by Jelli, Ohmura, Netter, et al. It contains the following four subfolders: - `training-data-from-experimentally-acquired-images`: the dataset that was created to train segmentation models<br> - `trained-models`: contains five models trained on the trainind dataset to be used for predictions<br> - `segmentation-predictions-for-different-species`: segmentations based on a trained model on biofilms of different species<br> - `training-data-synthetic`: Synthetic microscope images and their corresponding label images together with scripts to create the data
DOI: 10.5281/zenodo.7704225
title: Single cell annotations in 3D bacterial biofilms of Vibrio cholerae

description: This repository contains the data to reproduce the study `Single-cell segmentation in bacterial biofilms with optimized convolutional neural networks enables tracking of cell lineages and measurements of growth rates` by Jelli, Ohmura, Netter, et al. It contains the following four subfolders: - `training-data-from-experimentally-acquired-images`: the dataset that was created to train segmentation models<br> - `trained-models`: contains five models trained on the trainind dataset to be used for predictions<br> - `segmentation-predictions-for-different-species`: segmentations based on a trained model on biofilms of different species<br> - `training-data-synthetic`: Synthetic microscope images and their corresponding label images together with scripts to create the data
DOI: 10.5281/zenodo.7704410
title: Single cell annotations in 3D bacterial biofilms of Vibrio cholerae

description: This repository contains the data to reproduce the study `Single-cell segmentation in bacterial biofilms with optimized convolutional neural networks enables tracking of cell lineages and measurements of growth rates` by Jelli, Ohmura, Netter, et al. It contains the following four subfolders: - `training-data-from-experimentally-acquired-images`: the dataset that was created to train segmentation models<br> - `trained-models`: contains five models trained on the trainind dataset to be used for predictions<br> - `segmentation-predictions-for-different-species`: segmentations based on a trained model on biofilms of different species<br> - `training-data-synthetic`: Synthetic microscope images and their corresponding label images together with scripts to create the data
DOI: 10.5281/zenodo.7704409
title: A quantitative autonomous bioluminescence reporter system with a wide dynamic range for Plant Synthetic Biology

description: This data set includes: Luminescence (NeoLuc Luminescence), Fluorescence (eGFP) , NeoLuc/eGFP ratios, Area Under The Curve of NeoLuc/eGFP ratios, Normalized Area Under The Curve of Neoluc/eGFP (FBP-RTAs), Firefly Luciferase luminescence (FLuc), Renilla Luciferase luminescence (RLuc), FLuc/RLuc ratios and Normalized FLuc/RLuc values of all experiments in this work.
description: PID2019-108203RB-I00 Plan Nacional I+D from the Ministerio de Ciencia e Innovación (Spain) through the Agencia Estatal de Investigación (co-financed by the European Regional Development Fund)
DOI: 10.5281/zenodo.7704408
title: A quantitative autonomous bioluminescence reporter system with a wide dynamic range for Plant Synthetic Biology

description: This data set includes: Luminescence (NeoLuc Luminescence), Fluorescence (eGFP) , NeoLuc/eGFP ratios, Area Under The Curve of NeoLuc/eGFP ratios, Normalized Area Under The Curve of Neoluc/eGFP (FBP-RTAs), Firefly Luciferase luminescence (FLuc), Renilla Luciferase luminescence (RLuc), FLuc/RLuc ratios and Normalized FLuc/RLuc values of all experiments in this work.
description: PID2019-108203RB-I00 Plan Nacional I+D from the Ministerio de Ciencia e Innovación (Spain) through the Agencia Estatal de Investigación (co-financed by the European Regional Development Fund)
DOI: 10.5281/zenodo.7704416
title: erg

description: ergergerg
DOI: 10.5281/zenodo.7704415
title: erg

description: ergergerg
DOI: 10.6084/m9.figshare.22226290
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22226290.v1
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.5281/zenodo.7684067
title: Data and analysis of proteomic responses to hexokinase-II depletion in GAL80 and gal80Δ Saccharomyces cerevisiae with an engineered sesquiterpene-pathway

description: Dataset 1: GAL80_HXK2_Vs._dhxk2p_20200324_T2_004.xlsx The comparison between strain ILHA o128R+pJT9RFR (dHxk2p) and ILHA o401R+ pJT9RFR (HXK2) under the conditions with the addition of 1-Naphthaleneacetic acid and in the exponential growth phase and the ethanol growth phase. Dataset 2: gal80Δ_HXK2_Vs._dhxk2p_20200219_T1_004.xlsx The comparison between strain ILHA NLD128-1 (dHxk2p) and ILHA NLD401 (HXK2) under the conditions with the addition of 1-Naphthaleneacetic acid and in the exponential growth phase (EXP) and the ethanol growth phase (ETH).
description: {"references": ["https://www.nature.com/articles/s41467-021-21313-1"]}
DOI: 10.5281/zenodo.7684066
title: Data and analysis of proteomic responses to hexokinase-II depletion in GAL80 and gal80Δ Saccharomyces cerevisiae with an engineered sesquiterpene-pathway

description: Dataset 1: GAL80_HXK2_Vs._dhxk2p_20200324_T2_004.xlsx The comparison between strain ILHA o128R+pJT9RFR (dHxk2p) and ILHA o401R+ pJT9RFR (HXK2) under the conditions with the addition of 1-Naphthaleneacetic acid and in the exponential growth phase and the ethanol growth phase. Dataset 2: gal80Δ_HXK2_Vs._dhxk2p_20200219_T1_004.xlsx The comparison between strain ILHA NLD128-1 (dHxk2p) and ILHA NLD401 (HXK2) under the conditions with the addition of 1-Naphthaleneacetic acid and in the exponential growth phase (EXP) and the ethanol growth phase (ETH).
description: {"references": ["https://www.nature.com/articles/s41467-021-21313-1"]}
DOI: 10.17632/4xjpmhj7xb.1
title: The diversity of the glycan shield of sarbecoviruses related to SARS-CoV-2: Supplemental Spreadsheets

description: Supplemental spreadsheets for the manuscript titled "The diversity of the glycan shield of sarbecoviruses related to SARS-CoV-2"
DOI: 10.17632/2ctsry9wny.1
title: Seismic events in southern Tibet

description: Table S1 and S2 for manuscript "C. Yue, C. Y. Qu, X. J. Shan, G. J. Meng, W. Yan, H. Chen and D. L. Wu: "Coseismic deformation and stress transfer of thrust events on the MHT and their interaction with faults in southern Tibet", submitted to J. Geophys. Res.-Solid Earth.
DOI: 10.17632/tmyfd7kbhx.1
title: supply materials

description: journal supplement materials
DOI: 10.17632/xmsx9dz3tc.1
title: investigation

description: Redaction
DOI: 10.17632/jnrb6vzy4r.1
title: Revised experimental materials

description: experimental materials
DOI: 10.6084/m9.figshare.22226296.v1
title: Amplex beosztás Kata PhD.xlsx

description: <strong>Detrimentnsequences of teonazole on redox homis andtty aof ey bebrain</strong>
DOI: 10.6084/m9.figshare.22226296
title: Amplex beosztás Kata PhD.xlsx

description: <strong>Detrimentnsequences of teonazole on redox homis andtty aof ey bebrain</strong>
DOI: 10.17632/zh52584gcr.1
title: International Capital Flow Pressures by Goldberg and Krogstrup

description: International Capital Flow Pressures and Global Factors paper by Goldberg and Krogstrup contains their new Exchange Market Pressure index series for 41 countries, and other files needed to replicate empirical results of the associated JIE paper.
DOI: 10.17632/5d8k5bkb93.1
title: Multi-instance vehicle dataset with annotations with captured in outdoor diverse settings

description: We collected and annotated a dataset containing 105,544 annotated vehicle instances from 24700 image frames within seven different videos, sourced online under creative commons license. The video frames are annotated using DarkLabel tool. In the interest of reusability and generalisation of the deep learning model, we consider the diversity within the collected dataset. This diversity includes changes of lighting amongst the video, as well as other factors such as weather conditions, angle of observation, varying speed of the moving vehicles, traffic flow, and road conditions etc. The videos collected obviously include stationary vehicles, to perform the validation of stopped vehicle detection method. It can be noticed that the road conditions (e.g., motorways, city, country roads), directions, data capture timings and camera views, vary in the dataset producing annotated dataset with diversity. the dataset may have several uses such as vehicle detection, vehicle identification, stopped vehicle detection on smart motorways and local roads (smart city applications) and many more.
DOI: 10.17632/5d8k5bkb93.2
title: Multi-instance vehicle dataset with annotations captured in outdoor diverse settings

description: We collected and annotated a dataset containing 105,544 annotated vehicle instances from 24700 image frames within seven different videos, sourced online under creative commons license. The video frames are annotated using DarkLabel tool. In the interest of reusability and generalisation of the deep learning model, we consider the diversity within the collected dataset. This diversity includes changes of lighting amongst the video, as well as other factors such as weather conditions, angle of observation, varying speed of the moving vehicles, traffic flow, and road conditions etc. The videos collected obviously include stationary vehicles, to perform the validation of stopped vehicle detection method. It can be noticed that the road conditions (e.g., motorways, city, country roads), directions, data capture timings and camera views, vary in the dataset producing annotated dataset with diversity. the dataset may have several uses such as vehicle detection, vehicle identification, stopped vehicle detection on smart motorways and local roads (smart city applications) and many more.
DOI: 10.17632/jnzm4r6fzx.1
title: Data to Accompany: Geospatiotemporal and Causal Inferential Analysis of United States Congenital Anomalies as a Function of Multiple Cannabinoid- and Substance- Exposures: Phenocopying Thalidomide and Hundred Megabase-Scale Genotoxicity

description: Data accompany paper of the same name.
DOI: 10.17632/jnzm4r6fzx.2
title: Data to Accompany: Geospatiotemporal and Causal Inferential Analysis of United States Congenital Anomalies as a Function of Multiple Cannabinoid- and Substance- Exposures: Phenocopying Thalidomide and Hundred Megabase-Scale Genotoxicity

description: Data accompany paper of the same name.
DOI: 10.17632/bw6w5jpvg8.1
title: The changing health impact of vaccines in the COVID-19 pandemic: a modeling study

description: Data used to estimate neutralizing antibodies as a correlate of protection.
DOI: 10.23708/g3ybu1
title: Lamto GIS layer (raster dataset): orthomosaic of aerial photographs of the Lamto reserve (Côte d'Ivoire) acquired by IGN in 1963

description: This dataset holds the process chain to produce a orthomosaic from 220 aerial photographs acquired by IGN in 1963 under the mission AOF 566P5000. The dataset covers the Lamto reserve. We orthorectified the scanned images using ground control points from Google Maps and a structure from motion software (SfM). This dataset contains the scanned aerial photographes, the ground control points and the finale orthomosaic with a 17 cm ground resolution.
DOI: 10.23708/hz7x6y
title: Lamto GIS layer (vector dataset): Lamto reserve (Côte d'Ivoire) 1988 vegetation cover, after original map by Gautier (1990)

description: This dataset holds the polygon layer of vegetation units digitized from the map “Carte du recouvrement ligneux de la réserve de Lamto" published by Gautier in 1990. We first georeferenced the scanned paper map using ground control points derived from Google Maps. After this we manually digitized the vegetation units from the map. The shapefile attributes separate twelve land cover types : “zones d’habitations”, ”fleuve Bandama, « affleurements rocheux”, ”mares temporaires”, ”savane herbeuse”, ”savane faiblement arbustive”, ”savane arbustive”, ”savane boisée”, ”forêt”, ”brousse à Chromolaena odorata”, ”brousse à Chromolaena odorata dominée par des ligneux”.
DOI: 10.23708/ubuaa0
title: Lamto GIS layer (vector dataset): 2018 road track network of Lamto reserve (Côte d'Ivoire)

description: This dataset holds a vector layer of past and present roads and tracks of Lamto research station. We used a handheld GPS receiver to map the roads and tracks in 2018. It was difficult to find the track of the former Piste du Sud and Piste du Sud Yéo Kolo. The course of these former roads is not very accurate. The shapefile follow the OpenStreetMap (OMS) data schema
DOI: 10.17632/w2dzy4r6vb.1
title: Agricultural Drought in the Vietnamese Central Highlands at 1-km Resolution: Monthly and Annual Datasets

description: The iMDI synthesized the moisture deficits, soil thermal stress, and vegetation growth status in drought processes and makes it favorable for the comprehensive agricultural drought monitoring. The combination of three proposed indices (i.e., VCI, TCI, and ESI) provides more accurate and comprehensive information on drought severity in connection to local conditions. The feasibility of the iMDI is also proved in the correlation with ground-based drought data in the study area. At present, the products include monthly and annual per-pixel drought with 1 km spatial resolution, covering the period of 2001 -2020.
DOI: 10.17632/w2dzy4r6vb.2
title: Agricultural Drought in the Vietnamese Central Highlands at 1-km Resolution: Monthly and Annual Datasets

description: The iMDI synthesized the moisture deficits, soil thermal stress, and vegetation growth status in drought processes and makes it favorable for comprehensive agricultural drought monitoring. The combination of three proposed indices (i.e., VCI, TCI, and ESI) provides more accurate and comprehensive information on drought severity in connection to local conditions. The feasibility of the iMDI is also proved in the correlation with ground-based drought data in the study area. At present, the products include monthly and annual per-pixel drought with 1 km spatial resolution, covering the period of 2001 -2020.
DOI: 10.17632/w2dzy4r6vb.3
title: Agricultural Drought in the Vietnamese Central Highlands at 1-km Resolution: Monthly and Annual Datasets

description: The iMDI synthesizes the moisture deficits, soil thermal stress, and vegetation growth status in drought processes and makes it favorable for comprehensive agricultural drought monitoring. The combination of three proposed indices (i.e., VCI, TCI, and ESI) provides more accurate and comprehensive information on drought severity in connection to local conditions. The feasibility of the iMDI is also proved in the correlation with ground-based drought data in the study area. At present, the products include monthly and annual per-pixel drought with 1 km spatial resolution, covering the period of 2001–2020. The data are provided as a global mosaic in geographic lat/long projection in GeoTIFF file format. There are two types of data, such as raw files and legend files, that users can use for their studies. The raw data showed the original values for each pixel, which can be used with different models or algorithms. The legend files showed the different types of drought classification that can be used for attribute analysis: 1-extreme drought, 2-severe drought, 3-moderate drought, 4-near drought, and 5-no drought. Also, the VCI, TCI, and ESI datasets are included so that users can use them for their own needs, even though these datasets can be obtained directly from GEE or other sources. 
For more details on the computation and application of the iMDI, please see: Tran, T. V., Bruce, D., Huang, C. Y., Tran, D. X., Myint, S. W., & Nguyen, D. B. (2023). Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data. GIScience & Remote Sensing, 60(1), 2163070. https://doi.org/10.1080/15481603.2022.2163070.
DOI: 10.23708/carbi1
title: Lamto GIS layer (vector dataset): Road network of the Lamto reserve (Côte d'Ivoire) in 1988

description: This dataset holds a vector layer for the road network in Lamto research station in 1988. To produce the dataset we digitized the roads from the map “Carte du recouvrement ligneux de la réserve de Lamto" published by Gautier in 1990. Some of the roads no longer exist in 2021. The attributes of the shapefile follow the OpenStreetMap (OMS) data schema. Roads classified as "piste principale" on the original map have the OMS attributes "unclassified" or "residential". Roads classified as "piste secondaire" on the original map have the OMS attribute "track". The type "sentiers" is classified as "footway".
DOI: 10.17632/s9c49ygvs7.2
title: Research Data for How many vs which: On confined track selection criteria for apatite fission track analysis and consequences for thermal history reconstruction

description: Track length measurements
DOI: 10.17632/s9c49ygvs7.1
title: Research Data for How many vs which: On track selection criteria for apatite fission track analysis and consequences for thermal history reconstruction

description: Track length measurements
DOI: 10.23708/htlc25
title: Lamto GIS layer (vector dataset): Road network of the Lamto reserve (Côte d'Ivoire) in 1963

description: This dataset holds a vector layer for the road network in Lamto research station in 1963. To produce the dataset we digitized the roads from the unpublished map “Carte physionomique des faciès savanians de Lamto" drawn by de la Souchère; P. and Badarello, I. in 1969 and the mosaic of aerial photographs acquired by IGN in 1963. Most of the footpaths no longer exist in 2021. The attributes of the shapefile follow the OpenStreetMap (OMS) data schema.
DOI: 10.17632/s9c49ygvs7.3
title: Research Data for How many vs which: On confined track selection criteria for apatite fission track analysis

description: Track length measurements