cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6595549
title: Catalogue of Bayesian SZNet's spectroscopic redshift predictions

description: The "dr16q_superset_redshift.csv" file provides a catalogue of spectroscopic redshift predictions for spectra from the 16th data release of the Sloan Digital Sky Survey (SDSS) quasar superset catalogue (Lyke et al., 2020). Redshifts are predicted by a Bayesian convolutional neural network named Bayesian SZNet with associated predictive uncertainties in the form of predictive variances. The catalogue is released in the CSV format with the following columns: <em>plate</em>: spectroscopic plate number; <em>mjd</em>: modified Julian day of the spectroscopic observation; <em>fiberid</em>: fiber identification number; <em>z_pred</em>: redshift from Bayesian SZNet; <em>variance</em>: predictive variance associated with redshift from Bayesian SZNet; <em>z</em>: primary redshift; <em>source</em><em>_z</em>: origin of the reported redshift in <em>z;</em> <em>is_qso_final</em>: flag indicating quasars included in the DR16Q (Lyke et al., 2020); <em>z_vi</em>: redshift from visual inspection; <em>z_pipe</em>: redshift from the SDSS pipeline; <em>zwarning</em>: quality flag on the redshift from the SDSS pipeline; <em>z_dr12q</em>: redshift from the DR12Q catalogue (Pâris et al., 2017); <em>z_dr7q_sch</em>: redshift from the DR7Q catalogue (Schneider et al., 2010); <em>z_dr6q_hw</em>: redshift from the DR6 catalogue (Hewett and Wild, 2010); <em>z_10k</em>: redshift from the random visual inspection of 10000 spectra in the DR16Q superset; <em>z_pca</em>: redshift from the redvsblue algorithm; <em>z_qn</em>: redshift from QuasarNET (Busca and Balland, 2018); <em>z_pred_1</em> to <em>z_pred_256</em>: sampled redshifts from Bayesian SZNet; where columns <em>z</em>, <em>source_z</em>, <em>is_qso_final</em>, <em>z_vi</em>, <em>z_pipe</em>, <em>zwarning</em>, <em>z_dr12q</em>, <em>z_dr7q_sch</em>, <em>z_dr6q_hw</em>, <em>z_10k</em>, <em>z_pca</em>, and <em>z_qn</em> are taken from the 16th data release of the SDSS quasar superset catalogue.
description: {"references": ["Busca, N., Balland, C., 2018. QuasarNET: Human-level spec- tral classification and redshifting with deep neural networks. arXiv:1808.09955.", "Hewett, P.C., Wild, V., 2010. Improved redshifts for SDSS quasar spectra. Mon. Notices Royal Astron. Soc. 405, 2302\u20132316. doi:10.1111/j.1365-2966.2010.16648.x.", "Lyke, B.W., et al., 2020. The Sloan Digital Sky Survey quasar cat- alog: Sixteenth data release. Astrophys. J., Suppl. Ser. 250, 8. doi:10.3847/1538-4365/aba623.", "P\u00e2ris, I., et al., 2017. The Sloan Digital Sky Survey quasar catalog: Twelfth data release. Astron. Astrophys. 597, A79. doi:10.1051/0004-6361/201527999.", "Schneider, D.P., et al., 2010. The Sloan Digital Sky Survey quasar catalog. V. Seventh data release. Astron. J. 139, 2360\u20132373. doi:10.1088/0004-6256/139/6/2360."]}
DOI: 10.5281/zenodo.5173824
title: Catalogue of Bayesian SZNet's spectroscopic redshift predictions

description: The "dr16q_superset_redshift.csv" file provides a catalogue of spectroscopic redshift predictions for spectra from the 16th data release of the Sloan Digital Sky Survey (SDSS) quasar superset catalogue (Lyke et al., 2020). Redshifts are predicted by a Bayesian convolutional neural network named Bayesian SZNet with associated predictive uncertainties in the form of predictive variances. The catalogue is released in the CSV format with the following columns: <em>plate</em>: spectroscopic plate number; <em>mjd</em>: modified Julian day of the spectroscopic observation; <em>fiberid</em>: fiber identification number; <em>z_pred</em>: redshift from Bayesian SZNet; <em>variance</em>: predictive variance associated with redshift from Bayesian SZNet; <em>z</em>: primary redshift; <em>source</em><em>_z</em>: origin of the reported redshift in <em>z;</em> <em>is_qso_final</em>: flag indicating quasars included in the DR16Q (Lyke et al., 2020); <em>z_vi</em>: redshift from visual inspection; <em>z_pipe</em>: redshift from the SDSS pipeline; <em>zwarning</em>: quality flag on the redshift from the SDSS pipeline; <em>z_dr12q</em>: redshift from the DR12Q catalogue (Pâris et al., 2017); <em>z_dr7q_sch</em>: redshift from the DR7Q catalogue (Schneider et al., 2010); <em>z_dr6q_hw</em>: redshift from the DR6 catalogue (Hewett and Wild, 2010); <em>z_10k</em>: redshift from the random visual inspection of 10000 spectra in the DR16Q superset; <em>z_pca</em>: redshift from the redvsblue algorithm; <em>z_qn</em>: redshift from QuasarNET (Busca and Balland, 2018); <em>z_pred_1</em> to <em>z_pred_256</em>: sampled redshifts from Bayesian SZNet; where columns <em>z</em>, <em>source_z</em>, <em>is_qso_final</em>, <em>z_vi</em>, <em>z_pipe</em>, <em>zwarning</em>, <em>z_dr12q</em>, <em>z_dr7q_sch</em>, <em>z_dr6q_hw</em>, <em>z_10k</em>, <em>z_pca</em>, and <em>z_qn</em> are taken from the 16th data release of the SDSS quasar superset catalogue.
description: {"references": ["Busca, N., Balland, C., 2018. QuasarNET: Human-level spec- tral classification and redshifting with deep neural networks. arXiv:1808.09955.", "Hewett, P.C., Wild, V., 2010. Improved redshifts for SDSS quasar spectra. Mon. Notices Royal Astron. Soc. 405, 2302\u20132316. doi:10.1111/j.1365-2966.2010.16648.x.", "Lyke, B.W., et al., 2020. The Sloan Digital Sky Survey quasar cat- alog: Sixteenth data release. Astrophys. J., Suppl. Ser. 250, 8. doi:10.3847/1538-4365/aba623.", "P\u00e2ris, I., et al., 2017. The Sloan Digital Sky Survey quasar catalog: Twelfth data release. Astron. Astrophys. 597, A79. doi:10.1051/0004-6361/201527999.", "Schneider, D.P., et al., 2010. The Sloan Digital Sky Survey quasar catalog. V. Seventh data release. Astron. J. 139, 2360\u20132373. doi:10.1088/0004-6256/139/6/2360."]}
DOI: 10.6084/m9.figshare.20410827
title: Dragonfly and Damselfly Database

description: Dragonfly and Damselfly database belongs to Dragonfly and Damselfly database belongs to Dr.Hemachandra Kularatne and Susantha Udagedara
DOI: 10.6084/m9.figshare.20410827.v1
title: Dragonfly and Damselfly Database

description: Dragonfly and Damselfly database belongs to Dragonfly and Damselfly database belongs to Dr.Hemachandra Kularatne and Susantha Udagedara
DOI: 10.48370/ofd/vaw3tl/rggyx8
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/vaw3tl/atwxdy
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/vaw3tl
title: Sistotrema brinkmannii (Bres.) J. Erikss., 5062

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.20410852
title: Derivation of analytical results from Stability and post-bifurcation of film-substrate systems

description: Morphological instabilities in soft solids with free surfaces lead to an array of deformation modes including wrinkling, creasing, folding and ridge localization. While homogeneous systems tend to form creases, stiff films over soft substrates usually exhibit surface waves. Here, we look to analytically investigate this transition through the effects of film stiffness and finite thickness on the post-bifurcation stability of these surface waves. By considering both the film and substrate as compressible Neo-Hookean solids, we apply bifurcation theory and Lyaponov–Schmidt–Koiter asymptotics to produce a phase diagram of the surface wave stability over the parameter space. While earlier works have studied the effect of film-to-substrate stiffness ratios for thin films on deep substrates in the incompressible setting, we consider the additional effects of both finite film thickness and Poisson ratio. To investigate the further evolution of these surface waves, we turn to computational methods through finite-element simulations with bifurcation branch-following techniques. We see that as the unstable surface waves evolve, they eventually lead to the beginnings of crease formation. Thus, when the surface waves are unstable, we would expect snap-back or snap-through behaviour leading to creases.
DOI: 10.6084/m9.figshare.20410852.v1
title: Derivation of analytical results from Stability and post-bifurcation of film-substrate systems

description: Morphological instabilities in soft solids with free surfaces lead to an array of deformation modes including wrinkling, creasing, folding and ridge localization. While homogeneous systems tend to form creases, stiff films over soft substrates usually exhibit surface waves. Here, we look to analytically investigate this transition through the effects of film stiffness and finite thickness on the post-bifurcation stability of these surface waves. By considering both the film and substrate as compressible Neo-Hookean solids, we apply bifurcation theory and Lyaponov–Schmidt–Koiter asymptotics to produce a phase diagram of the surface wave stability over the parameter space. While earlier works have studied the effect of film-to-substrate stiffness ratios for thin films on deep substrates in the incompressible setting, we consider the additional effects of both finite film thickness and Poisson ratio. To investigate the further evolution of these surface waves, we turn to computational methods through finite-element simulations with bifurcation branch-following techniques. We see that as the unstable surface waves evolve, they eventually lead to the beginnings of crease formation. Thus, when the surface waves are unstable, we would expect snap-back or snap-through behaviour leading to creases.
DOI: 10.48370/ofd/h9wgxa/lzn2wm
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/h9wgxa/drzeet
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/h9wgxa
title: Sistotrema brinkmannii (Bres.) J. Erikss., 3083

description: Fungarium Macromycetes
DOI: 10.48370/ofd/yaentx/6mqerh
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (3).JPG

description: :unav
DOI: 10.48370/ofd/yaentx/zqgbiu
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/yaentx/fniecm
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/yaentx
title: Sistotrema brinkmannii (Bres.) J. Erikss., 295

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.20410665
title: processed.cleveland.data.csv

description: <strong>Heart Disease Dataset from UCI Repository</strong>
DOI: 10.48370/ofd/cf9eue/vm7pik
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/cf9eue/vosl0q
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (3).JPG

description: :unav
DOI: 10.48370/ofd/cf9eue/gwyxxk
title: FMW Sistotrema brinkmannii (Bres.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/cf9eue
title: Sistotrema brinkmannii (Bres.) J. Erikss., 5146

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6947845
title: Data and Command

description: This compressed folder contains the dataset and STATA software execution commands that support the findings of the manuscript entitled "Impact of Fintech on Employment: Evidence from China".
DOI: 10.5281/zenodo.6947844
title: Data and Command

description: This compressed folder contains the dataset and STATA software execution commands that support the findings of the manuscript entitled "Impact of Fintech on Employment: Evidence from China".
DOI: 10.48370/ofd/yz6nsb/984miu
title: FMW Sistotrema sernanderi (Litsch.) Donk (3).JPG

description: :unav
DOI: 10.48370/ofd/yz6nsb/isshqc
title: FMW Sistotrema sernanderi (Litsch.) Donk (2).JPG

description: :unav
DOI: 10.48370/ofd/yz6nsb/igefst
title: FMW Sistotrema sernanderi (Litsch.) Donk.JPG

description: :unav
DOI: 10.48370/ofd/yz6nsb
title: Sistotrema sernanderi (Litsch.) Donk, 2454

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.20410842
title: Results of the test

description: Results of the test
DOI: 10.48370/ofd/zwywme/uwjnfr
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/zwywme/7ojeje
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss (3).JPG

description: :unav
DOI: 10.48370/ofd/zwywme/drp01r
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/zwywme
title: Sistotremastrum niveocremeum (Höhn. Litsch.) J.Erikss., 613

description: Fungarium Macromycetes
DOI: 10.48370/ofd/wz8dr1/wykrvm
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/wz8dr1/whxumw
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/wz8dr1
title: Sistotremastrum niveocremeum (Höhn. Litsch.) J.Erikss., 497

description: Fungarium Macromycetes
DOI: 10.48370/ofd/bchb7q/xcdd1o
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/bchb7q/ud8yx9
title: Thumbs.db

description: :unav
DOI: 10.48370/ofd/bchb7q/ssn5yp
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/bchb7q/4yxqub
title: FMW Sistotremastrum niveocremum (Hӧhn. & Litsch.) J. Erikss (3).JPG

description: :unav
DOI: 10.48370/ofd/bchb7q
title: Sistotremastrum niveocremeum (Höhn. Litsch.) J.Erikss., 411

description: Fungarium Macromycetes
DOI: 10.48370/ofd/y2asx2/ick8qt
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/y2asx2/hbiunp
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/y2asx2
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 4829

description: Fungarium Macromycetes
DOI: 10.48370/ofd/odt7hj/705hz1
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (3).JPG

description: :unav
DOI: 10.48370/ofd/odt7hj/ut7mds
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/odt7hj/sytpp3
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/odt7hj
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 2791

description: Fungarium Macromycetes
DOI: 10.48370/ofd/8ptcuq/qrqj0m
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/8ptcuq/six9ep
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/8ptcuq
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 2766

description: Fungarium Macromycetes
DOI: 10.48370/ofd/iifjxo/z90tow
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/iifjxo/lvygq0
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/iifjxo
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 2317

description: Fungarium Macromycetes
DOI: 10.48370/ofd/yoenly/bcglvl
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/yoenly/ckp1k4
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/yoenly
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 1202

description: Fungarium Macromycetes
DOI: 10.48370/ofd/ua3oob/oyedzp
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/ua3oob/ymm08h
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/ua3oob
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 705

description: Fungarium Macromycetes
DOI: 10.48370/ofd/bqjhco/unkkhn
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss (2).JPG

description: :unav
DOI: 10.48370/ofd/bqjhco/oayk0d
title: FMW Sistotremastrum suecicum Lisch. ex J. Erikss.JPG

description: :unav
DOI: 10.48370/ofd/bqjhco
title: Sistotremastrum suecicum Lisch. ex J.Erikss., 679

description: Fungarium Macromycetes
DOI: 10.5258/soton/d2085
title: Dataset 'Temperature-Dependent Study on L-Band EDFA Characteristics Pumped at 980 nm and 1480 nm in Phosphorus and Aluminum-Rich Erbium-Doped Silica Fibers'

description: This dataset supports the journal article 'Temperature-Dependent Study on L-Band EDFA Characteristics Pumped at 980 nm and 1480 nm in Phosphorus and Aluminum-Rich Erbium-Doped Silica Fibers' Published in the Journal of Lightwave Technology The excel file contains all experimental data used for generating Fig.1, Fig.3, Fig.4 and Fig.5
DOI: 10.34740/kaggle/dsv/4014570
title: AutoXGB
DOI: 10.5281/zenodo.6855581
title: Datasets for the publication " Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil"

description: This repository contains the datasets for the publication "Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil". <strong>Bias correction</strong> Technical data of existing farms (ABBEólica) Bias correction factors at the farm level <strong>Demand</strong> Simulated wind and solar power Biomass, nuclear, and small hydropower generation in 2019 Raw demand data Updated demand <strong>Hydropower time series</strong> Affluent Natural energy of run-of-rivers (fio d'água, in Portuguese) and reservoirs (reservatórios, in Portuguese), installed capacity, and maximal storage <strong>Offshore wind farms</strong> Locations, coordinates, water depth, available areas, water depth, distance to shore, technology,and maximal capacity; Code to estimate offshore wind farm capex and opex. <strong>Results of Calliope model </strong> capacity carrier_prod (power generation) storage costs emissions
DOI: 10.5281/zenodo.6855580
title: Datasets for the publication " Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil"

description: This repository contains the datasets for the publication "Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil". <strong>Bias correction</strong> Technical data of existing farms (ABBEólica) Bias correction factors at the farm level <strong>Demand</strong> Simulated wind and solar power Biomass, nuclear, and small hydropower generation in 2019 Raw demand data Updated demand <strong>Hydropower time series</strong> Affluent Natural energy of run-of-rivers (fio d'água, in Portuguese) and reservoirs (reservatórios, in Portuguese), installed capacity, and maximal storage <strong>Offshore wind farms</strong> Locations, coordinates, water depth, available areas, water depth, distance to shore, technology,and maximal capacity; Code to estimate offshore wind farm capex and opex. <strong>Results of Calliope model </strong> capacity carrier_prod (power generation) storage costs emissions
DOI: 10.5519/qd.769z0h5q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5180436 records)
DOI: 10.5281/zenodo.5779432
title: Association between prenatal provision of lipid‐based nutrient supplements and cesarean delivery: Findings from a randomized controlled trial in Malawi

description: Data set for a published manuscript on Maternal & Child Nutrition. <strong>ABSTRACT:</strong> In populations with a high prevalence of childhood and adolescent undernutrition, supplementation during pregnancy aiming at improving maternal nutritional status and preventing fetal growth restriction might theoretically lead to cephalopelvic disproportion and delivery complications. We investigated whether the prenatal provision of small-quantity lipid-based nutrient supplements (SQ-LNS) was associated with an increased risk of caesarean section (CS) or other delivery complications. Pregnant Malawian women were randomised to receive daily i) iron–folic acid (IFA) capsule (control), ii) multiple micronutrient (MMN) capsule of 18 micronutrients (second control), or iii) SQ-LNS with similar micronutrients as MMN, plus four minerals and macronutrients contributing 118 kcal. We analysed the associations of SQ-LNS, CS, and other delivery complications using log-binomial regressions. Among 1391 women enrolled, 1255 had delivery information available. The incidence of CS and delivery complications was 6.3% and 8.2%, respectively. The incidence of CS was 4.0%, 6.0%, and 8.9% (p = 0.017) in the IFA, MMN, and LNS groups, respectively. Compared to the IFA group, the relative risk (95% confidence interval) of CS was 2.2 (1.3–3.8) (p = 0.006) in the LNS group and 1.5 (0.8–2.7) (p = 0.200) in the MMN group. We found no significant differences for other delivery complications. Provision of SQ-LNS to pregnant women may have increased the incidence of CS. The baseline rate was, however, lower than recommended. It is unclear if the higher CS incidence in the SQ-LNS group resulted from increased obstetric needs or more active health seeking and a better supply of services. Trial registered at clinicaltrials.gov, NCT01239693.
description: 'Maternal weekly gestational weight' variable at https://github.com/pyykkojuha/scientific_publications/tree/main/code/lns_cs
DOI: 10.5281/zenodo.5779431
title: Association between prenatal provision of lipid‐based nutrient supplements and cesarean delivery: Findings from a randomized controlled trial in Malawi

description: Data set for a published manuscript on Maternal & Child Nutrition. <strong>ABSTRACT:</strong> In populations with a high prevalence of childhood and adolescent undernutrition, supplementation during pregnancy aiming at improving maternal nutritional status and preventing fetal growth restriction might theoretically lead to cephalopelvic disproportion and delivery complications. We investigated whether the prenatal provision of small-quantity lipid-based nutrient supplements (SQ-LNS) was associated with an increased risk of caesarean section (CS) or other delivery complications. Pregnant Malawian women were randomised to receive daily i) iron–folic acid (IFA) capsule (control), ii) multiple micronutrient (MMN) capsule of 18 micronutrients (second control), or iii) SQ-LNS with similar micronutrients as MMN, plus four minerals and macronutrients contributing 118 kcal. We analysed the associations of SQ-LNS, CS, and other delivery complications using log-binomial regressions. Among 1391 women enrolled, 1255 had delivery information available. The incidence of CS and delivery complications was 6.3% and 8.2%, respectively. The incidence of CS was 4.0%, 6.0%, and 8.9% (p = 0.017) in the IFA, MMN, and LNS groups, respectively. Compared to the IFA group, the relative risk (95% confidence interval) of CS was 2.2 (1.3–3.8) (p = 0.006) in the LNS group and 1.5 (0.8–2.7) (p = 0.200) in the MMN group. We found no significant differences for other delivery complications. Provision of SQ-LNS to pregnant women may have increased the incidence of CS. The baseline rate was, however, lower than recommended. It is unclear if the higher CS incidence in the SQ-LNS group resulted from increased obstetric needs or more active health seeking and a better supply of services. Trial registered at clinicaltrials.gov, NCT01239693.
description: 'Maternal weekly gestational weight' variable at https://github.com/pyykkojuha/scientific_publications/tree/main/code/lns_cs
DOI: 10.6084/m9.figshare.20410919
title: Additional file 1 of Identification of immune-related and autophagy-related genes for the prediction of survival in bladder cancer

description: Additional file 1: Table S1. The difference of pTNM staging between high-risk group and low-risk group was significant.
DOI: 10.6084/m9.figshare.20410919.v1
title: Additional file 1 of Identification of immune-related and autophagy-related genes for the prediction of survival in bladder cancer

description: Additional file 1: Table S1. The difference of pTNM staging between high-risk group and low-risk group was significant.
DOI: 10.6084/m9.figshare.20410922
title: Additional file 2 of Identification of immune-related and autophagy-related genes for the prediction of survival in bladder cancer

description: Additional file 2: Table S2. The difference of immune infiltration index between high-risk group and low-risk group was significant.