cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d3007
title: Dataset supporting the University of Southampton MPhil Thesis "Efficient Teacher-Student Architectures for Human Activity Recognition via Soft Labels and Binarization"

description: The data analyses three public datasets for Human Activity Recognition (HAR), with the original data directly downloadable from the Internet:
Daphnet Gait Dataset (Freezing of Gait): https://archive.ics.uci.edu/dataset/245/daphnet+freezing+of+gait

Opportunity Dataset: https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition

PAMAP2 Dataset: https://archive.ics.uci.edu/dataset/231/pamap2+physical+activity+monitoring

However, the data available there cannot be used directly and requires a series of data segmentation and preprocessing. What I have released here are the aforementioned three public datasets after undergoing a series of preprocessing steps.

The datasets have been preprocessed with Python, including sliding window cropping, removal of NaN rows, removal of time(ms), normalization, etc. They have been divided into Test, Train, and Validation datasets using mainstream methods and finally saved with Numpy for the convenience of users for quick deployment.

Daphnet Gait Dataset(Frozen of Gait):
https://archive.ics.uci.edu/dataset/245/daphnet+freezing+of+gait

This dataset is a binary classification dataset consisting of recordings from 10 participants diagnosed with Parkinson’s disease (PD). Dataset activities correspond to recognizing whether or not gait freeze occurs based on wearable acceleration sensors. The dataset was recorded in a lab environment with the subjects were instructed to carry out activities with a high likelihood of inducing freezing of gait, which is a common motor complication in PD.

Opportunity Dataset:
https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition

This dataset contains recordings from various wearables and environment sensors from four participants who carry out common kitchen activities, such as Open/Close Door, Dishwasher, and Fridge, via Inertial Measurement Units (IMUs) at 30Hz. Each participant is recorded in five different runs. 

PAMAP2 Dataset:
https://archive.ics.uci.edu/dataset/231/pamap2+physical+activity+monitoring
The physical activity monitoring dataset is similar to the opportunity dataset, consisting of nine participants performing 12 kinds of daily physical activities, such as cycling, walking, sitting. The sensors used in the inertial measurement units (IMUs) include accelerometers, gyroscopes, magnetometers, temperature, and heart rate.

The data is accessible via CC BY license.
DOI: 10.6084/m9.figshare.24912363.v1
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v2
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v3
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v4
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v5
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v7
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.6084/m9.figshare.24912363.v6
title: Supplementary Material for: The effect of enzymatic treatment with mutanase, beta-glucanase and DNase on a saliva-derived biofilm model

description: Introduction: The dental biofilm matrix is an important determinant of virulence for caries development and comprises a variety of extracellular polymeric substances that contribute to biofilm stability. Enzymes that break down matrix components may be a promising approach to caries control, and in light of the compositional complexity of the dental biofilm matrix, treatment with multiple enzymes may enhance the reduction of biofilm formation compared to single enzyme therapy. The present study investigated the effect of the three matrix-degrading enzymes mutanase, beta-glucanase and DNase, applied separately or in combinations, on biofilm prevention and removal in a saliva-derived in vitro-grown model.

Methods: Biofilms were treated during growth to assess biofilm prevention or after 24 h of growth to assess biofilm removal by the enzymes. Biofilms were quantified by crystal violet staining and impedance-based real-time cell analysis, and the biofilm structure was visualized by confocal microscopy and staining of extracellular DNA (eDNA) and polysaccharides. 

Results: The in vitro model was dominated by Streptococcus spp., as determined by 16S rRNA gene amplicon sequencing. All tested enzymes and combinations had a significant effect on biofilm prevention, with reductions of &gt;90% for mutanase and all combinations including mutanase. Combined application of DNase and beta-glucanase resulted in an additive effect (81.0%±1.3% SD vs. 36.9%±21.9% SD and 48.2%±14.9% SD). For biofilm removal, significant reductions of up to 73.2%±5.5% SD were achieved for combinations including mutanase, whereas treatment with DNase had no effect. Glucans, but not eDNA decreased in abundance upon treatment with all three enzymes. 

Conclusion: Multi-enzyme treatment is a promising approach to dental biofilm control that needs to be validated in more diverse biofilms.
DOI: 10.34740/kaggle/dsv/7834999
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.25400041
title: 20240314_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.25400041.v1
title: 20240314_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.14473/csda/tzges8/wkmhh6
title: Nesstar_NS_1001_DataFile.tab

description: Data
DOI: 10.14473/csda/tzges8/hucrai
title: OM_V1001.pdf

description: Ostatní materiály
DOI: 10.14473/csda/tzges8/56use6
title: K_V1001.pdf

description: Karty
DOI: 10.14473/csda/tzges8/8pt3te
title: TI_V1001.pdf

description: Technická informace
DOI: 10.14473/csda/tzges8/e1fndv
title: D_V1001.pdf

description: Dotazník
DOI: 10.14473/csda/tzges8/sjzpmb
title: PR07_V1001.pdf

description: Názory na zadlužování občanů. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/l1wykk
title: PR14_V1001.pdf

description: Názory obyvatel na půjčky a dluhy. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/wvk92m
title: PR06_V1001.pdf

description: Hodnocení ekonomické situace. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/uyhujg
title: PR01_V1001.pdf

description: Stranické preference a volební model v lednu 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/mjdx4d
title: PR02_V1001.pdf

description: Důvěra ústavním institucím a spokojenost s politickou situací v lednu 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/ixyfxv
title: PR13_V1001.pdf

description: Veřejné mínění o zadlužení občanů a České republiky jako státu. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/zozj4j
title: PR03_V1001.pdf

description: Důvěra stranickým představitelům. Tisková zpráva CVVM
DOI: 10.14473/csda/tzges8/m1ruow
title: PR10_V1001.pdf

description: Občané o NATO a obraně země – leden 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/sr5t9l
title: PR08_V1001.pdf

description: Hodnocení působení Václava Klause v prezidentském úřadě. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/ansb7e
title: PR05_V1001.pdf

description: Materiální podmínky domácností. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/y1legb
title: PR04_V1001.pdf

description: Hodnocení vlády Jana Fischera. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/izqwwg
title: PR12_V1001.pdf

description: Hodnocení naléhavosti zabývání se oblastmi veřejného života a očekávaný vývoj v roce 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8/fgwozr
title: PR11_V1001.pdf

description: NATO očima české veřejnosti – leden 2010. tisková zpráva CVVM.
DOI: 10.14473/csda/tzges8
title: Naše společnost 2010 - leden

description: Kontinuální měsíční výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci pravidelného měsíčního výzkumného projektu. Jsou při něm zjišťovány postoje a názory občanů. Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci výzkumu. "Naše společnost 2010". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/tzges8/jwkc68
title: PR09_V1001.pdf

description: Hospodářská úroveň ČR v kontextu jiných zemí – leden 2010. Tisková zpráva CVVM.
DOI: 10.3886/e198964
title: Structural change and productivity revolutions: Some hints from the Italian case, 1979-2016

description: The reallocation of resources between productive sectors is classically regarded as the engine of long-term economic growth. The different technological opportunities and the inherent levels of productivity that characterise each production sector explain why changes in sectoral composition can trigger development processes. On the contrary, in the short run, productivity growth is often associated with differentiation processes among firms operating in the same industry. The paper aims to better understand the role of structural change in determining productivity changes by analysing the structural transformation of the Italian industry between the 1970s and the 2010s. The recent debate on the decline in Italian productivity has mainly focussed on short-term interpretations of the phenomenon. Therefore, the paper–using a new dataset collecting end-of-year financial statements data and off-balance sheet information on the 800 largest Italian manufacturing companies by turnover–aims to assess, from a long-term perspective, the role of structural change in explaining changes in Italian industrial productivity.<br><br>
description: Presence of Common Scales: Digitization of printed sources<br>
description: Italian companies<br>. Smallest Geographic Unit: Country
DOI: 10.3886/e198964v1
title: Structural change and productivity revolutions: Some hints from the Italian case, 1979-2016

description: The reallocation of resources between productive sectors is classically regarded as the engine of long-term economic growth. The different technological opportunities and the inherent levels of productivity that characterise each production sector explain why changes in sectoral composition can trigger development processes. On the contrary, in the short run, productivity growth is often associated with differentiation processes among firms operating in the same industry. The paper aims to better understand the role of structural change in determining productivity changes by analysing the structural transformation of the Italian industry between the 1970s and the 2010s. The recent debate on the decline in Italian productivity has mainly focussed on short-term interpretations of the phenomenon. Therefore, the paper–using a new dataset collecting end-of-year financial statements data and off-balance sheet information on the 800 largest Italian manufacturing companies by turnover–aims to assess, from a long-term perspective, the role of structural change in explaining changes in Italian industrial productivity.<br><br>
description: Presence of Common Scales: Digitization of printed sources<br>
description: Italian companies<br>. Smallest Geographic Unit: Country
DOI: 10.15468/3zbdj6
title: Ferme éolienne d'Arnac sur dourdou - Faune

description: Projet de 6 éoliennes E82 de 125m de hauteur totale, d'un poste de livraison et d'une citerne incendie. Les impacts concernent la destruction d'habitat et de flore ainsi que le dérangement et la mortalité des chiroptères et de l'avifaune.