cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6798947
title: Data - Forecast archive from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798944.v1
title: Data - Climatological specific humidity for HHS regions from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798941
title: Code - R script to gnerate manuscript plots and table from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798947.v1
title: Data - Forecast archive from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798938
title: Data- Evaluation measures for the forecasts from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798938.v1
title: Data- Evaluation measures for the forecasts from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798941.v1
title: Code - R script to gnerate manuscript plots and table from Evaluation of mechanistic and statistical methods in forecasting influenza-like illness

description: A variety of mechanistic and statistical methods to forecast seasonal influenza have been proposed and are in use; however, the effects of various data issues and design choices (statistical versus mechanistic methods, for example) on the accuracy of these approaches have not been thoroughly assessed. Here, we compare the accuracy of three forecasting approaches—a mechanistic method, a weighted average of two statistical methods and a super-ensemble of eight statistical and mechanistic models—in predicting seven outbreak characteristics of seasonal influenza during the 2016–2017 season at the national and 10 regional levels in the USA. For each of these approaches, we report the effects of real time under- and over-reporting in surveillance systems, use of non-surveillance proxies of influenza activity and manual override of model predictions on forecast quality. Our results suggest that a meta-ensemble of statistical and mechanistic methods has better overall accuracy than the individual methods. Supplementing surveillance data with proxy estimates generally improves the quality of forecasts and transient reporting errors degrade the performance of all three approaches considerably. The improvement in quality from ad hoc and post-forecast changes suggest that domain experts continue to possess information that is not being sufficiently captured by current forecasting approaches.
DOI: 10.6084/m9.figshare.6798824
title: Figure 6

description: These data show that upon infection of HIV-1 from elite controllers, the restriction factor TRIM5alpha triggers transcription of pro-inflammatory genes linked to the NF-KB et AP-1 pathways as well as IFN-beta. Nuclear translocation of P-p65 and P-cJun may be observed at 48 hours post-infection. Pre-treatment of the cells with the integrase inhibitor Raltegravir does not prevent sensing from TRIM5, as observed by WB, Microscropy and QPCR.
DOI: 10.6084/m9.figshare.6798824.v1
title: Figure 3

description: These data show that upon infection of HIV-1 from elite controllers, the restriction factor TRIM5alpha triggers transcription of pro-inflammatory genes linked to the NF-KB et AP-1 pathways as well as IFN-beta. Nuclear translocation of P-p65 and P-cJun may be observed at 48 hours post-infection. Pre-treatment of the cells with the integrase inhibitor Raltegravir does not prevent sensing from TRIM5, as observed by WB, Microscropy and QPCR.
DOI: 10.6084/m9.figshare.6798824.v2
title: Figure 3

description: These data show that upon infection of HIV-1 from elite controllers, the restriction factor TRIM5alpha triggers transcription of pro-inflammatory genes linked to the NF-KB et AP-1 pathways as well as IFN-beta. Nuclear translocation of P-p65 and P-cJun may be observed at 48 hours post-infection. Pre-treatment of the cells with the integrase inhibitor Raltegravir does not prevent sensing from TRIM5, as observed by WB, Microscropy and QPCR.
DOI: 10.6084/m9.figshare.6798824.v4
title: Figure 6

description: These data show that upon infection of HIV-1 from elite controllers, the restriction factor TRIM5alpha triggers transcription of pro-inflammatory genes linked to the NF-KB et AP-1 pathways as well as IFN-beta. Nuclear translocation of P-p65 and P-cJun may be observed at 48 hours post-infection. Pre-treatment of the cells with the integrase inhibitor Raltegravir does not prevent sensing from TRIM5, as observed by WB, Microscropy and QPCR.
DOI: 10.6084/m9.figshare.6798824.v3
title: Figure 3

description: These data show that upon infection of HIV-1 from elite controllers, the restriction factor TRIM5alpha triggers transcription of pro-inflammatory genes linked to the NF-KB et AP-1 pathways as well as IFN-beta. Nuclear translocation of P-p65 and P-cJun may be observed at 48 hours post-infection. Pre-treatment of the cells with the integrase inhibitor Raltegravir does not prevent sensing from TRIM5, as observed by WB, Microscropy and QPCR.
DOI: 10.6084/m9.figshare.6798695
title: An observation of gonadal degeneration of the spawning population of Chinese sturgeon below Gezhouba Dam. Freshwater Fisheries

description: This paper was published in Freshwater Fisheries in 1985 in Chinese. The other paper with the same title was collected in <i>Selected works of colloquium on major technical issues of Gezhouba Dam fourth volume–fish rescue (1989), adding the data of 1985.</i>
DOI: 10.6084/m9.figshare.6798695.v2
title: An observation of gonadal degeneration of the spawning population of Chinese sturgeon below Gezhouba Dam. Freshwater Fisheries

description: This paper was published in Freshwater Fisheries in 1985 in Chinese. The other paper with the same title was collected in <i>Selected works of colloquium on major technical issues of Gezhouba Dam fourth volume–fish rescue (1989), adding the data of 1985.</i>
DOI: 10.6084/m9.figshare.6798548
title: NIPS4Bplus: Transcriptions of NIPS4B 2013 Bird Challenge Training Dataset

description: Created By-------------<br>Veronica Morfi (1), Dan Stowell (1) and Hanna Pamula (2).<br>(1): Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London (QMUL), UK(2): AGH University of Science and Technology, Department of Mechanics and Vibroacoustics, Kraków, Poland<br>Version 7 Updates--------------<br>Fixed: Annotation duration surpassing length of recording. Fixed: Empty spaces at the end of some labelsFixed: Label typos<br>Description--------------<br>The zip file contains 674 individual recording temporal annotations for the training set of the NIPS4B 2013 dataset in the birdsong classifications task (original size of dataset is 687 recordings).<br>Task and dataset description can be found in: http://sabiod.univ-tln.fr/nips4b/challenge1.html Donwload zip file of dataset and weak annotations at: http://sabiod.univ-tln.fr/nips4b/media/birds/NIPS4B_BIRD_CHALLENGE_TRAIN_TEST_WAV.tar.gz<br><br>Annotation Files------------<br>Transcriptions were produced using Sonic Visualiser: https://www.sonicvisualiser.org/ by an experienced birdwatcher, Hanna Pamula.<br>Number of missing annotations: 13 (6 of these files contained sounds which could not be unambiguously labelled and the rest 7 of them only included insects)<br>The original (weak) labels provided during the NIPS4B 2013 challenge were used for guidance. However, some files were judged to have a slightly different set of species present than was given in the original metadata.<br>Extra Unknown label was added to the dataset for the vocalisations that couldn't be classified to a specific species. Also, extra Human label was added for a few recordings that had human sounds present in them.<br>Transcription format:[Starting time (sec)],[Duration of event (sec)],[Label]
DOI: 10.6084/m9.figshare.6798548.v1
title: Transcriptions of NIPS4B 2013 Bird Challenge Training Dataset

description: July 2018<br><br>Created By-------------<br>Veronica Morfi (1), Dan Stowell (1) and Hanna Pamula (2).<br>(1): Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London (QMUL), UK(2): AGH University of Science and Technology in Kraków, Kraków, Poland<br><br>Description--------------<br>The zip file contains 637 individual recording transcriptions for the training set of the NIPS4B 2013 dataset in the birdsong classifications task (original size of dataset is 687 recordings).<br>Task and dataset description can be found in: http://sabiod.univ-tln.fr/nips4b/challenge1.html Donwload zip file of dataset and weak annotations at: http://sabiod.univ-tln.fr/nips4b/media/birds/NIPS4B_BIRD_CHALLENGE_TRAIN_TEST_WAV.tar.gz<br><br>Annotation Files------------<br>Transcriptions were produced using Sonic Visualiser: https://www.sonicvisualiser.org/ by an experienced birdwatcher, Hanna Pamula.<br>Number of missing annotations: 50 (these files contained sounds which could not be unambiguously labelled)<br>The original (weak) labels provided during the NIPS4B 2013 challenge were used for guidance. However, some files were judged to have a slightly different set of species present than was given in the original metadata.<br>Extra Unknown label was added to the dataset for the vocalisations that couldn't be classified to a specific species. Also, extra Human label was added for a few recordings that had human sounds present in them.<br>Transcription format:[Starting time (sec)],[Duration of event (sec)],[Label]
DOI: 10.6084/m9.figshare.6798326
title: Patients with rectal cancer are satisfied with in-hospital communication despite insufficient information regarding treatment alternatives and potential side-effects

description: <b>Aim:</b> Patients with rectal cancer may undergo treatment such as surgery and (chemo)radiotherapy. Before treatment, patients are informed of different options and possible side-effects. The aim of the study was to evaluate the patients’ experience of communication with healthcare personnel at time of diagnosis and after one year. <b>Method:</b> A total of 1085 patients from Denmark and Sweden were included. They answered a detailed questionnaire at diagnosis and at the one year follow-up. Clinical data were retrieved from national quality registries. <b>Results:</b> Response rates were 87% at baseline and 74% at one year. Overall the patients were very satisfied with the communication with healthcare personnel. However, some patients reported insufficient information regarding treatment options and possible side-effects. Only 32% (335/1050) and 24% (248/1053), respectively, stated that they were informed about possible sexual and urinary dysfunction before treatment. <b>Conclusions:</b> Even though patients felt that they received insufficient information regarding side-effects on sexual and urinary function, they were generally satisfied with the communication with the healthcare personnel. Since overall satisfaction with the level of information was very high, it is unlikely that further information to patients with rectal cancer in the surgical and oncological settings will improve satisfaction with communication.
DOI: 10.6084/m9.figshare.6798326.v1
title: Patients with rectal cancer are satisfied with in-hospital communication despite insufficient information regarding treatment alternatives and potential side-effects

description: <b>Aim:</b> Patients with rectal cancer may undergo treatment such as surgery and (chemo)radiotherapy. Before treatment, patients are informed of different options and possible side-effects. The aim of the study was to evaluate the patients’ experience of communication with healthcare personnel at time of diagnosis and after one year. <b>Method:</b> A total of 1085 patients from Denmark and Sweden were included. They answered a detailed questionnaire at diagnosis and at the one year follow-up. Clinical data were retrieved from national quality registries. <b>Results:</b> Response rates were 87% at baseline and 74% at one year. Overall the patients were very satisfied with the communication with healthcare personnel. However, some patients reported insufficient information regarding treatment options and possible side-effects. Only 32% (335/1050) and 24% (248/1053), respectively, stated that they were informed about possible sexual and urinary dysfunction before treatment. <b>Conclusions:</b> Even though patients felt that they received insufficient information regarding side-effects on sexual and urinary function, they were generally satisfied with the communication with the healthcare personnel. Since overall satisfaction with the level of information was very high, it is unlikely that further information to patients with rectal cancer in the surgical and oncological settings will improve satisfaction with communication.
DOI: 10.6084/m9.figshare.6798548.v2
title: Transcriptions of NIPS4B 2013 Bird Challenge Training Dataset

description: Created By-------------<br>Veronica Morfi (1), Dan Stowell (1) and Hanna Pamula (2).<br>(1): Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London (QMUL), UK(2): AGH University of Science and Technology, Department of Mechanics and Vibroacoustics, Kraków, Poland<br>Description--------------<br>The zip file contains 674 individual recording temporal annotations for the training set of the NIPS4B 2013 dataset in the birdsong classifications task (original size of dataset is 687 recordings).<br>Task and dataset description can be found in: http://sabiod.univ-tln.fr/nips4b/challenge1.html Donwload zip file of dataset and weak annotations at: http://sabiod.univ-tln.fr/nips4b/media/birds/NIPS4B_BIRD_CHALLENGE_TRAIN_TEST_WAV.tar.gz<br><br>Annotation Files------------<br>Transcriptions were produced using Sonic Visualiser: https://www.sonicvisualiser.org/ by an experienced birdwatcher, Hanna Pamula.<br>Number of missing annotations: 13 (6 of these files contained sounds which could not be unambiguously labelled and the rest 7 of them only included insects)<br>The original (weak) labels provided during the NIPS4B 2013 challenge were used for guidance. However, some files were judged to have a slightly different set of species present than was given in the original metadata.<br>Extra Unknown label was added to the dataset for the vocalisations that couldn't be classified to a specific species. Also, extra Human label was added for a few recordings that had human sounds present in them.<br>Transcription format:[Starting time (sec)],[Duration of event (sec)],[Label]
DOI: 10.6084/m9.figshare.6798317
title: Maternal age, parity, fetal sex and adverse fetal outcomes

description: Clinical records comprised maternal age, maternal body weight before pregnancy, number of previous deliveries, maternal weight before conception, pregnancy weight gain, duration of pregnancy, mode of delivery, birth weight, birth length and sex of the newborn. We studied the associations of these independent variables with following adverse binary outcomes: preterm delivery (delivery before 37 weeks of gestation; yes/no), low birth weight (birth weight &lt; 2500g; yes/no), macrosomia (birth weight &gt; 4500g; yes/no), and caesarean delivery (yes/no).