cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17372012.v1
title: Supplementary Material for: Exosome miR-23a-3p From Osteoblast Alleviates Spinal Cord Ischemia/Reperfusion Injury by Down-regulating KLF3-activated CCNL2 Transcription

description: Background: Spinal cord ischemia/reperfusion injury (SCIRI) is usually caused by spinal surgery or aortic aneurysm surgery and can eventually lead to paralysis or paraplegia and neurological dysfunction. Exosomes are considered as one of the most promising therapeutic strategies for SCIRI as they can pass the blood-spinal barrier. Previous studies have proved that exosomes secreted by osteocytes have a certain slowing effect on SCIRI. Aim: We aimed to explore the effect of osteoblast secreted exosomes on SCIRI. Methods: Firstly, neurons and osteoblasts were co-cultured under different conditions. GEO database was utilized to detect the expression of miR-23a-3p in osteoblast exosomes. SCIRI cells were treated with exosomes, and the detection was taken to prove whether miR-23a-3p could slow the progression of SCIRI. Downstream gene and the potential regulatory mechanism were explored through database and functional experiments. Results: MiR-23a-3p was highly expressed in exosomes and it slowed down the process of SCIRI. Downstream mRNA KLF3 could bind to miR-23a-3p and was highly expressed in IRI. Moreover, CCNL2 was regulated by KLF3 and was highly expressed in IRI. Rescue experiments verified that miR-23a-3p suppressed the transcription of CCNL2 by targeting KLF3. Conclusion: Exosome miR-23a-3p from osteoblast alleviates SCIRI by down-regulating KLF3-activated CCNL2 transcription.
DOI: 10.24396/ordar-94
title: Pyreneen peridotite propagation wave measurement

description: data of shear wave from Pyrenean peridotites
DOI: 10.24396/ordar-95
title: Pyreneen peridotite porosities, grain densities and bulk densities measurements

description: data of Helium, water, and mercury porosities and densities from the Pyrenean peridotite
DOI: 10.24396/ordar-97
title: Pyreneen peridotite thermal diffusivity measurement

description: data of thermal diffusivity from the Pyrenean peridotite
DOI: 10.24396/ordar-96
title: Pyreneen peridotite propagation wave measurement

description: data of compressional wave from Pyrenean peridotites
DOI: 10.24396/ordar-87
title: Pyrenean peridotite thermal conductivity measurement

description: data of thermal conductivity from the Pyrenean peridotite
DOI: 10.5281/zenodo.6396163
title: additional data related to article "Heterozygous KIF1A variants underlie a wide spectrum of neurodevelopmental and neurodegenerative disorders"

description: Additional data related to tables presented in the article mentioned at title
DOI: 10.5281/zenodo.6396162
title: additional data related to article "Heterozygous KIF1A variants underlie a wide spectrum of neurodevelopmental and neurodegenerative disorders"

description: Additional data related to tables presented in the article mentioned at title
DOI: 10.5281/zenodo.6395166
title: Small datasets, semi-synthetic datasets and single tissue analyses from Labory and Le Bideau et al study

description: <strong>File description</strong> : gtex_semisynthetic_dataset : raw_data : raw counts datasets from GTEX database injected_age_dataset : gtex datasets in which we injected AGEs feedback_data : lists of injected AGEs res_abeille : ABEILLE results on injected AGEs datasets res_outrider : OUTRIDER results on injected AGEs datasets gtex_single_tissues : res_abeille : results of tissue-specific analyses done by ABEILLE res_outrider : results of tissue-specific analyses done by OUTRIDER kremer119pat_outpyr_significative_results.txt : OutPyR significative results (p-value &lt; 0.05) on Kremer dataset small_datasets : raw_data : raw counts of each sub datasets of the Kremer dataset res_abeille : ABEILLE results on small datasets res_outrider : OUTRIDER results on small datasets
DOI: 10.5281/zenodo.6395165
title: Small datasets, semi-synthetic datasets and single tissue analyses from Labory and Le Bideau et al study

description: <strong>File description</strong> : gtex_semisynthetic_dataset : raw_data : raw counts datasets from GTEX database injected_age_dataset : gtex datasets in which we injected AGEs feedback_data : lists of injected AGEs res_abeille : ABEILLE results on injected AGEs datasets res_outrider : OUTRIDER results on injected AGEs datasets gtex_single_tissues : res_abeille : results of tissue-specific analyses done by ABEILLE res_outrider : results of tissue-specific analyses done by OUTRIDER kremer119pat_outpyr_significative_results.txt : OutPyR significative results (p-value &lt; 0.05) on Kremer dataset small_datasets : raw_data : raw counts of each sub datasets of the Kremer dataset res_abeille : ABEILLE results on small datasets res_outrider : OUTRIDER results on small datasets
DOI: 10.6084/m9.figshare.19453886
title: Table 1 and original data

description: The major aims of this study are that exploring the baseline values of PM<sub>2.5</sub> in 31 provinces in China using the cumulative frequency curve method. Then, the provinces are classified according to the relationship between baseline values, monitoring values and standard values. Finally, the PM<sub>2.5</sub> hierarchical management strategy is proposed for the three types of provinces obtained.
DOI: 10.6084/m9.figshare.19453886.v1
title: Table 1 and original data

description: The major aims of this study are that exploring the baseline values of PM<sub>2.5</sub> in 31 provinces in China using the cumulative frequency curve method. Then, the provinces are classified according to the relationship between baseline values, monitoring values and standard values. Finally, the PM<sub>2.5</sub> hierarchical management strategy is proposed for the three types of provinces obtained.
DOI: 10.6084/m9.figshare.19453637
title: Fluid distribution in angular grain sample

description: Pore geometry is one of the important factors affecting CO<sub>2</sub> capillary capture and oil production, which is crucial to the location of CO<sub>2</sub>-EOR project. We thus prepared simple models using glass beads and angular grains and imaged the three-phase displacement processes at high resolution.
DOI: 10.6084/m9.figshare.19453637.v1
title: Fluid distribution in angular grain sample

description: Pore geometry is one of the important factors affecting CO<sub>2</sub> capillary capture and oil production, which is crucial to the location of CO<sub>2</sub>-EOR project. We thus prepared simple models using glass beads and angular grains and imaged the three-phase displacement processes at high resolution.
DOI: 10.5281/zenodo.6396302
title: Data related to article "De novo DHDDS variants cause a neurodevelopmental and neurodegenerative disorder with myoclonus"

description: Clinical data of a patient included at study at title
DOI: 10.5281/zenodo.6396301
title: Data related to article "De novo DHDDS variants cause a neurodevelopmental and neurodegenerative disorder with myoclonus"

description: Clinical data of a patient included at study at title
DOI: 10.5517/ccdc.csd.cc25bb3z
title: CCDC 2005920: Experimental Crystal Structure Determination

description: Related Article: Ting Liu |2020|CSD Communication|||
description: Related Article: Si-Hui Tan, Zhao-Hui Chen, Huan Luo, Ting Liu, Guo-Qing Zhong|2022|Polyhedron|218|115768|doi:10.1016/j.poly.2022.115768
DOI: 10.5517/ccdc.csd.cc206p42
title: CCDC 1853463: Experimental Crystal Structure Determination

description: Related Article: Sreenath Pappuru, Venkatachalam Ramkumar, Debashis Chakraborty|2021|Polym.Adv.Technol.|32|3392|doi:10.1002/pat.5349
DOI: 10.5517/ccdc.csd.cc28176s
title: CCDC 2086554: Experimental Crystal Structure Determination

description: Related Article: Pai Wang, Hongxu Zhang, Peisen Wang, Junjie Zha, Jagadis Gautam, Hanzhi Zhang, Rui Li, Lu-nan Zhang, Guowang Diao, Lubin Ni|2022|Catalysis Communications|165|106446|doi:10.1016/j.catcom.2022.106446
DOI: 10.5517/ccdc.csd.cc28d832
title: CCDC 2097153: Experimental Crystal Structure Determination

description: Related Article: Si-Hui Tan, Zhao-Hui Chen, Huan Luo, Ting Liu, Guo-Qing Zhong|2022|Polyhedron|218|115768|doi:10.1016/j.poly.2022.115768
DOI: 10.5517/ccdc.csd.cc28tp5z
title: CCDC 2110051: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tp60
title: CCDC 2110052: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tp71
title: CCDC 2110053: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tp82
title: CCDC 2110054: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tc8r
title: CCDC 2109744: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tpb4
title: CCDC 2110056: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28tpqj
title: CCDC 2110068: Experimental Crystal Structure Determination

description: Related Article: Ziwei Zhu, Ablajan Turak, Haji Akber Aisa|2022|Phytochemistry|199|113158|doi:10.1016/j.phytochem.2022.113158
DOI: 10.5517/ccdc.csd.cc28ww57
title: CCDC 2112159: Experimental Crystal Structure Determination

description: Related Article: Shanyu Tang, Régis Guillot, Laurence Grimaud, Maxime R. Vitale, Guillaume Vincent|2022|Org.Lett.|24|2125|doi:10.1021/acs.orglett.2c00364
DOI: 10.5517/ccdc.csd.cc29283s
title: CCDC 2117334: Experimental Crystal Structure Determination

description: Related Article: Marco Paolino, Mario Saletti, Annalisa Reale, Vincenzo Razzano, Germano Giuliani, Alessandro Donati, Claudia Bonechi, Gianluca Giorgi, Andrea Atrei, Matteo Mauro, Andrea Scamporrino, Filippo Samperi, Ettore Fois, Gloria Tabacchi, Chiara Botta, Andrea Cappelli|2022|Eur.Polym.J.|169|111137|doi:10.1016/j.eurpolymj.2022.111137
DOI: 10.5517/ccdc.csd.cc29284t
title: CCDC 2117335: Experimental Crystal Structure Determination

description: Related Article: Marco Paolino, Mario Saletti, Annalisa Reale, Vincenzo Razzano, Germano Giuliani, Alessandro Donati, Claudia Bonechi, Gianluca Giorgi, Andrea Atrei, Matteo Mauro, Andrea Scamporrino, Filippo Samperi, Ettore Fois, Gloria Tabacchi, Chiara Botta, Andrea Cappelli|2022|Eur.Polym.J.|169|111137|doi:10.1016/j.eurpolymj.2022.111137
DOI: 10.25377/sussex.17380853
title: Dataset for paper "mlGeNN: Accelerating SNN inference using GPU-Enabled Neural Networks"

description: <b>Dataset for paper accepted in IOP Neuromorphic Computing and Engineering March 2022</b><br>Dataset contains trained weights from TensorFlow 2.4.0 for the following models:- vgg16_imagenet_tf_weights.h5 - VGG-16 model trained on ImageNet ILSVRC dataset - vgg16_tf_weights.h5 - VGG-16 model trained on CIFAR-10 dataset- resnet20_cifar10_tf_weights.h5 - ResNet-20 model trained on CIFAR-10 dataset- resnet34_imagenet_tf_weights.h5 - ResNet-34 model trained on ImageNet ILSVRC<br><b>Abstract</b><br>"In this paper we present mlGeNN - a Python library for the conversion of artificial neural networks (ANNs) specified in Keras to spiking neural networks (SNNs). SNNs are simulated using GeNN with extensions to efficiently support convolutional connectivity and batching. We evaluate converted SNNs on CIFAR-10 and ImageNet classification tasks and compare the performance to both the original ANNs and other SNN simulators. We find that performing inference using a VGG-16 model, trained on the CIFAR-10 dataset, is 2.5x faster than BindsNet and, when using a ResNet-20 model trained on CIFAR-10 with FewSpike ANN to SNN conversion, mlGeNN is only a little over 2x slower than TensorFlow."<br><b>Funding</b>Brains on Board grant number EP/P006094/1ActiveAI grant number EP/S030964/1Unlocking spiking neural networks for machine learning research grant number EP/V052241/1<br>European Union's Horizon 2020 research and innovation program under Grant Agreement 945539<br><br>
DOI: 10.5517/ccdc.csd.cc29554t
title: CCDC 2120125: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc29555v
title: CCDC 2120126: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc29556w
title: CCDC 2120127: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc29557x
title: CCDC 2120128: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc29558y
title: CCDC 2120129: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc29559z
title: CCDC 2120130: Experimental Crystal Structure Determination

description: Related Article: Jon Pascual-Colino, Beñat Artetxe, Garikoitz Beobide, Oscar Castillo, Maria Luz Fidalgo-Mayo, Ainhoa Isla-López, Antonio Luque, Sandra Mena-Gutiérrez, Sonia Pérez-Yáñez|2022|Inorg.Chem.|61|4842|doi:10.1021/acs.inorgchem.1c03466
DOI: 10.5517/ccdc.csd.cc295nrx
title: CCDC 2120609: Experimental Crystal Structure Determination

description: Related Article: Naoyuki Hisano, Takeharu Haino|2022|J.Org.Chem.|87|4001|doi:10.1021/acs.joc.1c02742
DOI: 10.5517/ccdc.csd.cc295nsy
title: CCDC 2120610: Experimental Crystal Structure Determination

description: Related Article: Naoyuki Hisano, Takeharu Haino|2022|J.Org.Chem.|87|4001|doi:10.1021/acs.joc.1c02742
DOI: 10.5517/ccdc.csd.cc28ws65
title: CCDC 2112067: Experimental Crystal Structure Determination

description: Related Article: Shuhan Yang, Guofeng Chen, Wenfa Zhou, Ran Zhang, Shouye Feng, Yinglin Song, Jinchong Xiao|2022|Dyes Pigm.|201|110229|doi:10.1016/j.dyepig.2022.110229
DOI: 10.5517/ccdc.csd.cc28ws54
title: CCDC 2112066: Experimental Crystal Structure Determination

description: Related Article: Shuhan Yang, Guofeng Chen, Wenfa Zhou, Ran Zhang, Shouye Feng, Yinglin Song, Jinchong Xiao|2022|Dyes Pigm.|201|110229|doi:10.1016/j.dyepig.2022.110229
DOI: 10.6084/m9.figshare.19435496.v3
title: Temporal source localization of neural synchronization deficits and auditory hypersensitivity in Fragile X Syndrome

description: Source localization of auditory sensory chirp auditory evoked potentials and spectral event analysis.
DOI: 10.6084/m9.figshare.19453889
title: ASV.Meta.Tax.xlsx

description: ASV table, metadata and taxonomic information of bacterial communities associated with the kelp hosts Laminaria hyperborea and Saccharina latissima at eight subtidal reefs in the UK.
DOI: 10.6084/m9.figshare.19453889.v1
title: ASV.Meta.Tax.xlsx

description: ASV table, metadata and taxonomic information of bacterial communities associated with the kelp hosts Laminaria hyperborea and Saccharina latissima at eight subtidal reefs in the UK.
DOI: 10.34740/kaggle/dsv/3381060
title: PT Behavioural Database
DOI: 10.6084/m9.figshare.19454237
title: Supplementary Material for: Hepaticoduodenostomy (Right Intrahepatic Biliary Duct) Using a Lumen-Apposing Metal Stent

description: Medicine
DOI: 10.6084/m9.figshare.19454237.v1
title: Supplementary Material for: Hepaticoduodenostomy (Right Intrahepatic Biliary Duct) Using a Lumen-Apposing Metal Stent

description: Medicine
DOI: 10.5281/zenodo.6396312
title: Dataset related to article "Socio-demographic characteristics and psychopathological assessment in a sample of 13 paediatric patients with functional neurological disorders: A preliminary report"

description: The dataset contains clinical information on patients analyzed for the study mendtioned at title
DOI: 10.5281/zenodo.6396311
title: Dataset related to article "Socio-demographic characteristics and psychopathological assessment in a sample of 13 paediatric patients with functional neurological disorders: A preliminary report"

description: The dataset contains clinical information on patients analyzed for the study mendtioned at title
DOI: 10.5281/zenodo.6394809
title: Voluminous data acquired at Vineyards ("Aveleda")

description: aveleda_11-05-2021_livox - Data acquired by AgRob Model-e at a vineyard in "aveleda", with livox and stereo camera
DOI: 10.5281/zenodo.6394808
title: Voluminous data acquired at Vineyards ("Aveleda")

description: aveleda_11-05-2021_livox - Data acquired by AgRob Model-e at a vineyard in "aveleda", with livox and stereo camera
DOI: 10.6084/m9.figshare.17091554.v3
title: Review Protocol_Prescriptive Process Monitoring: Quo Vadis?

description: The review protocol and the file with retrieved studies for the paper Prescriptive Process Monitoring: Quo Vadis?
DOI: 10.6084/m9.figshare.19455400
title: Dummy data spreadsheets from Female reproductive skew exacerbates the extinction risk from poaching in the eastern black rhino

description: Each sheet of this excel file contains dummy data that can be used to demonstrate how the analyses were conducted. To do this, each worksheet should be saved as a csv file using the same name, and they can then be read into R using the script provided.
DOI: 10.6084/m9.figshare.19455400.v1
title: Dummy data spreadsheets from Female reproductive skew exacerbates the extinction risk from poaching in the eastern black rhino

description: Each sheet of this excel file contains dummy data that can be used to demonstrate how the analyses were conducted. To do this, each worksheet should be saved as a csv file using the same name, and they can then be read into R using the script provided.
DOI: 10.6084/m9.figshare.19455403
title: R script from Female reproductive skew exacerbates the extinction risk from poaching in the eastern black rhino

description: This script contains all the code that was used to conduct the and produce graphs. This requires csv files taken from the 'Dummy data spreadsheets' file
DOI: 10.6084/m9.figshare.19455403.v1
title: R script from Female reproductive skew exacerbates the extinction risk from poaching in the eastern black rhino

description: This script contains all the code that was used to conduct the and produce graphs. This requires csv files taken from the 'Dummy data spreadsheets' file
DOI: 10.6084/m9.figshare.17091554.v4
title: Review Protocol_Prescriptive Process Monitoring: Quo Vadis?

description: The review protocol and the file with retrieved studies for the paper Prescriptive Process Monitoring: Quo Vadis?
DOI: 10.6084/m9.figshare.11888118.v1
title: A chromosome-scale genome assembly of the Mongolian oak (Quercus mongolica)

description: Mongolian oak (Quercus mongolica Fisch.) is an ecologically and economically important white oak species native to and widespread in the temperate zone of East Asia. Here, we present a chromosome-scale reference genome assembly of Q. mongolica, a representative white oak species, by combining Illumina and PacBio data with Hi-C mapping technologies that is the first reference genome created for an Asian oak. Our results showed that the PacBio draft genome size was 809.84 Mb, with a BUSCO complete gene percentage of 92.71%. Hi-C scaffolding anchored 774.59 Mb contigs (95.65% of draft assembly) onto 12 pseudochromosomes. The contig N50 and scaffold N50 were 2.64 Mb and 66.74 Mb, respectively. We further annotated 36,553 protein-coding genes and 435.34 Mb (53.75% of the genome) repetitive sequences. The non-coding RNAs were identified, including 129 miRNAs, 768 tRNAs, 4,896 rRNAs, and 371 snRNAs. This pioneering Asian oak genome resource represents an important supplement to the oak genomics community and will improve our understanding of Asian white oak biology and evolution.
DOI: 10.6084/m9.figshare.17091554
title: test

description: test
DOI: 10.6084/m9.figshare.17091554.v6
title: test

description: test
DOI: 10.6084/m9.figshare.17091554.v5
title: Review Protocol_Prescriptive Process Monitoring: Quo Vadis?

description: The review protocol and the file with retrieved studies for the paper Prescriptive Process Monitoring: Quo Vadis?
DOI: 10.5281/zenodo.6396361
title: Estimated height of the OpenStreetMap buildings of 24 French communes using the GeoClimate Software (version 0.0.1)

description: This repository contains: a folder called "_toReproduceResults" containing data, script and methodology to reproduce most of the work described in the research manuscript, the main output of the research work: 24 folders (each of them corresponding to a French city), containing building geometry footprints and their corresponding building height as well as averaged building height value aggregated at rectangular grid cell (100 m by 100 m). The footprint geometries comes from the OpenStreetMap project and the building height has been estimated using a RandomForest algorithm using as independent variables indicators describing the building size and shape and the building environment. The data has been produced using the GeoClimate Software (version 0.0.1). A more detailed description of the content can be used in the file "Metadata.csv".
DOI: 10.25345/c54t6f69q
title: MassIVE MSV000089157 - Gel Spots with differential intensity Lumpfish stress
title: Data set are spots form 2D gels which showed differential spot intensity between control and stressed lumpfish
DOI: 10.48370/ofd/jqpu7u
title: Zaraza bluszczowa (Orobanche hederae Duby), 5631

description: Herbarium
DOI: 10.6084/m9.figshare.18819074
title: Replication package for "Smelly Variables in Ansible Infrastructure Code: Detection, Prevalence, and Lifetime"

description: - notebooks.tar.gz: Notebooks containing the data analysis scripts.<br>- data.tar.gz: CSV files containing the analysed data.- rq1_results.pdf: Spreadsheet of manual analysis of RQ1.- graphs.tar.gz: all extracted PDGs in GraphML format.<br>Source code of the PDG builder and smell detector is available upon request to Ruben.Denzel.Opdebeeck@vub.be.<br>