cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.820866
title: Dataset: Uncovering Missing Pieces. Duplication And Deletion History Of Arrestins In Deuterostomes.

description: This is the dataset accompanying the following publication: Uncovering missing pieces: Duplication and deletion history of arrestins in deuterostomes. See abstract below. 

Background<br>
The cytosolic arrestin proteins mediate desensitization of activated G protein-coupled receptors (GPCRs) via competition with G proteins for the active phosphorylated receptors. Arrestins in active, including receptor-bound, conformation are also transducers of signaling. Therefore, this protein family is an attractive therapeutic target. The signaling outcome is believed to be a result of structural and sequence-dependent interactions of arrestins with GPCRs and other protein partners. Here we elucidated the detailed evolution of arrestins in deuterostomes.

Results<br>
Identity and number of arrestin paralogs were determined searching deuterostome genomes and gene expression data. In contrast to standard gene prediction methods, our strategy first detects exons situated on different scaffolds and then solves the problem of assigning them to the correct gene. This increases both the completeness and the accuracy of the annotation in comparison to conventional database search strategies applied by the community. The employed strategy enabled us to map in detail the duplication- and deletion history of arrestin paralogs including tandem duplications, pseudogenizations and the formation of retrogenes. The two rounds of whole genome duplications in the vertebrate stem lineage gave rise to four arrestin paralogs. Surprisingly, visual arrestin ARR3 was lost in the mammalian clades Afrotheria and Xenarthra. Duplications in specific clades, on the other hand, must have given rise to new paralogs that show signatures of diversification in functional elements important for receptor binding and phosphate sensing.

Conclusion<br>
The current study traces the functional evolution of deuterostome arrestins in unprecedented detail. Based on a precise re-annotation of the exon-intron structure at nucleotide resolution, we infer the gain and loss of paralogs and patterns of conservation, co-variation and selection.
description: This work was supported by the European Social Fund (ESF) of the European
Union (EU) and the Free State of Saxony (grant numbers 100148833/22117017,
100227413 to HI) as well as NIH grants (RO1 DA030103, NS065868 to EVG and RO1 EY011500, R35 GM122491 to VVG).
DOI: 10.5281/zenodo.820867
title: Dataset: Uncovering Missing Pieces. Duplication And Deletion History Of Arrestins In Deuterostomes.

description: This is the dataset accompanying the following publication: Uncovering missing pieces: Duplication and deletion history of arrestins in deuterostomes. See abstract below. 

Background<br>
The cytosolic arrestin proteins mediate desensitization of activated G protein-coupled receptors (GPCRs) via competition with G proteins for the active phosphorylated receptors. Arrestins in active, including receptor-bound, conformation are also transducers of signaling. Therefore, this protein family is an attractive therapeutic target. The signaling outcome is believed to be a result of structural and sequence-dependent interactions of arrestins with GPCRs and other protein partners. Here we elucidated the detailed evolution of arrestins in deuterostomes.

Results<br>
Identity and number of arrestin paralogs were determined searching deuterostome genomes and gene expression data. In contrast to standard gene prediction methods, our strategy first detects exons situated on different scaffolds and then solves the problem of assigning them to the correct gene. This increases both the completeness and the accuracy of the annotation in comparison to conventional database search strategies applied by the community. The employed strategy enabled us to map in detail the duplication- and deletion history of arrestin paralogs including tandem duplications, pseudogenizations and the formation of retrogenes. The two rounds of whole genome duplications in the vertebrate stem lineage gave rise to four arrestin paralogs. Surprisingly, visual arrestin ARR3 was lost in the mammalian clades Afrotheria and Xenarthra. Duplications in specific clades, on the other hand, must have given rise to new paralogs that show signatures of diversification in functional elements important for receptor binding and phosphate sensing.

Conclusion<br>
The current study traces the functional evolution of deuterostome arrestins in unprecedented detail. Based on a precise re-annotation of the exon-intron structure at nucleotide resolution, we infer the gain and loss of paralogs and patterns of conservation, co-variation and selection.
description: This work was supported by the European Social Fund (ESF) of the European
Union (EU) and the Free State of Saxony (grant numbers 100148833/22117017,
100227413 to HI) as well as NIH grants (RO1 DA030103, NS065868 to EVG and RO1 EY011500, R35 GM122491 to VVG).
DOI: 10.5281/zenodo.821030
title: Landslides From Space - Amyntaio Lignite Coal Mine Landslide (10Th June 2017)

description: On Saturday, 10th of June 2017 a massive landslide occurred in a lignite pit in Amyntaio, Greece. It buried 25 million tons lignite worth about 500 Million Euro and caused the permanent evacuation of Anargyroi, a village nearby.

<br>
The pre-event acquisition is from 1st June 2017 (Sentinel-2) and the post-event acquisition is from 24th June 2017 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br>
<br>
<em>Contains modified Copernicus Sentinel data (2017)</em>
description: {"references": ["http://blogs.agu.org/landslideblog/2017/06/12/anargyroi-1/"]}
DOI: 10.6073/pasta/c5327ca476e3f1521807574d9ab1d02d
title: Year 2006, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary at Middle Road Bridge, Newbury, MA.
DOI: 10.5281/zenodo.780135
title: Bach10 Separation Smc2017

description: The Bach10 Separation SMC2017 dataset is derived from the Bach10 dataset, which contains ten pieces of Bach chorales along the scores.<br>
We separate the audio files in the original dataset and in the dataset we synthesized with Sibelius (https://zenodo.org/record/321361#.WLW40t-i7J8), using the approaches presented in this paper:<br>
Marius Miron, Jordi Janer, Emilia Gomez, "Generating data to train convolutional neural networks for low latency classical music source separation", Sound and Music Computing Conference 2017

The dataset contains the separated audio files along the computed measures which give the quality of separation: SDR, SIR, SAR, computed with BSS Eval 3.0. 

For the intellectual rights and the distribution policy of the original dataset check the Bach10 dataset page:<br>
http://music.cs.northwestern.edu/data/Bach10.html

The files in Bach10 Separation SMC2017 dataset are offered free of charge for non-commercial use only. You can not redistribute them nor modify them. 

This dataset is created by Marius Miron, Music Technology Group - Universitat Pompeu Fabra (Barcelona). This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Unported License.
DOI: 10.6073/pasta/1d9cc55f132f8aa0fac88819fae26ee0
title: Year 2007, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary at Middle Road Bridge, Newbury, MA.
DOI: 10.3886/e100784v1
title: The Burden of Out of Pockets Costs and Medical Debt Faced by Households with Chronic Health Conditions in the United States

description: Introduction: To examine
the relationship between chronic health conditions and out-of-pocket costs (OOPC)
and medical debt.  

<br><br>Methods: Secondary data from the
2013 Panel
Study of Income Dynamics (PSID) was used. Households whose head of
household and spouse (for married households) were 18 to 64 years old
were included.

<br><br>Results:
Results from multivariate models showed that an increase in chronic health
conditions by one increased the likelihood of having any OOPC by 68%, any
medical debt by 135%, the amount of OOPC by 30% and
the amount of medical debt by 60%. <br><br>Conclusions: Findings from this study show that the presence of chronic health
conditions impose a large financial burden on some households.

<br><br><br><br>
DOI: 10.5281/zenodo.815525
title: Phenological Time Lapse Images From Landscape Camera Mc117-1 In Paljakka Spruce Stand (2016-2016)

description: This dataset contains phenological time lapse images from camera Paljakka Spruce stand. Camera was mounted at landscape view level at location 64.677381;28.114014(N;E, WGS84). Images were taken between 02.11.2016--31.12.2016.<br>
Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br>
More details on the camera installations and operation history can be found at doi 10.5281/zenodo.777952<br>
The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br>
For further information contact Mikko Peltoniemi (mikko.peltoniemi@luke.fi)
DOI: 10.5281/zenodo.821127
title: Bach10 Score-Informed Separation Ismir2017

description: This dataset accompanies the paper:<br>
M.Miron, J.Janer,E.Gomez,"Monaural score-informed source separation for classical music using convolutional neural networks", ISMIR 2017

The files are based on Bach10 dataset which comprises 10 Bach chorales: http://music.cs.northwestern.edu/data/Bach10.html

It comprises results in terms of SDR, SIR, SAR as .mat files for the methods presented in the paper.<br>
Additionally, we include audio .wav files for the proposed score-informed source separation method using convolutional neural networks and for the score-informed NMF counterpart.

The code is available at the github repository: https://github.com/nkundiushuti
DOI: 10.5281/zenodo.821128
title: Bach10 Score-Informed Separation Ismir2017

description: This dataset accompanies the paper:<br>
M.Miron, J.Janer,E.Gomez,"Monaural score-informed source separation for classical music using convolutional neural networks", ISMIR 2017

The files are based on Bach10 dataset which comprises 10 Bach chorales: http://music.cs.northwestern.edu/data/Bach10.html

It comprises results in terms of SDR, SIR, SAR as .mat files for the methods presented in the paper.<br>
Additionally, we include audio .wav files for the proposed score-informed source separation method using convolutional neural networks and for the score-informed NMF counterpart.

The code is available at the github repository: https://github.com/nkundiushuti
DOI: 10.4225/08/5955f5aac96f7
title: Microstructures of cold-sprayed titanium before and after heat treatment

description: A conical-shaped pin of cold sprayed titanium was prepared using a CGT Kinetiks 4000 system. After a synchrotron X-ray micro-CT scan the titanium pin was heat treated at 850 degree C for 4 hours. The second micro-CT scan was performed. Both X-ray CT data were analysed using DCM for their 3D porosity distributions.
DOI: 10.5281/zenodo.821218
title: Collection Of Tibetan Etexts Compiled By The Buddhist Digital Resource Center

description: This is the Tibetan etext collection of the Buddhist Digital Resource Center (www.tbrc.org) as of April 28, 2017.
DOI: 10.5281/zenodo.821217
title: Collection Of Tibetan Etexts Compiled By The Buddhist Digital Resource Center

description: This is the Tibetan etext collection of the Buddhist Digital Resource Center (www.tbrc.org) as of April 28, 2017.
DOI: 10.5281/zenodo.821287
title: Fumi/Dbpedia-Japanese-Usecases: Release 1.0.2

description: Datasets for Use cases of DBpedia Japanese
DOI: 10.5281/zenodo.821132
title: Test-B1 Icdar2017 Competition On Handwritten Text Recognition On The Read Dataset (Icdar2017 Htr)

description: <strong>Test-B1</strong>:  a batch of page images annotated with the geometry of regions where to detect text line and recognize.
DOI: 10.5281/zenodo.821131
title: Test-B1 Icdar2017 Competition On Handwritten Text Recognition On The Read Dataset (Icdar2017 Htr)

description: <strong>Test-B1</strong>:  a batch of page images annotated with the geometry of regions where to detect text line and recognize.
DOI: 10.5258/soton/d0148
title: The Brief Overcontrol Scale

description: A screening measure for Obsessive-Compulsive Personality Disorder and Overcontrolled disorders, Final version and scoring algorithm.

Presented at the 5th Annual Psychology Postgraduate Conference, Department of Psychology, University of Southampton (3rd Prize) (poster presentation).
DOI: 10.15156/bio/sh1155863.09fu
title: SH1155863.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155864.09fu
title: SH1155864.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155865.09fu
title: SH1155865.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155866.09fu
title: SH1155866.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155867.09fu
title: SH1155867.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155868.09fu
title: SH1155868.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155869.09fu
title: SH1155869.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155870.09fu
title: SH1155870.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155871.09fu
title: SH1155871.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1155872.09fu
title: SH1155872.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.