cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24341/tethys.84
title: Geodaten - Blatt 188 Wolfsberg (1:50.000)
title: Geodata - sheet 188 Wolfsberg (1:50.000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.
DOI: 10.25345/c51j9r
title: MassIVE MSV000087645 - Secreted retrovirus-like GAG domain containing protein PEG10 is regulated by UBE3A and is involved in Angelman syndrome pathophysiology
title: Angelman syndrome (AS) is a severe neurodevelopmental disorder caused by mutations that effect expression of the maternal UBE3A allele, which encodes the ubiquitin protein ligase E3A (UBE3A). Although several potential UBE3A targets have been identified, our understanding of relevant disease targets is very limited, and validation in patient-derived cells is lacking. We established human iPSC (hiPSC) control and AS patient-derived neuronal models and demonstrate specific and reciprocal modulation of UBE3A using anti-sense oligonucleotides (ASOs). Through unbiased proteomic analysis we identified proteins whose abundance were directly affected by manipulating UBE3A levels, including the novel human specific PEG10 protein, a secreted retrotransposon derived GAG domain-containing protein. PEG10 protein, but not RNA, was elevated in AS hiPSC-derived neurons as well as in postmortem AS brain tissue, and we showed that its upregulation in patient-derived cells is dependent on both UBE3A and normal proteasome function. Functional analysis revealed that PEG10 binds both RNA and ataxia associated proteins, ATXN2 and ATXN10. PEG10 localizes to stress granules and is secreted in extracellular vesicles, where it regulates vesicle content. AS patient-derived neurons in which either UBE3A was reinstated or PEG10 was reduced, showed a striking similarity in transcriptome changes. In addition, overexpression of PEG10 during mouse brain development affected the migration of the PEG10-overexpressing neurons, suggesting that PEG10 overexpression can affect neuronal function at a critical time during brain development. Taken together these findings imply that PEG10 is a novel secreted UBE3A target, and is involved in AS pathophysiology.
DOI: 10.6084/m9.figshare.11890278
title: PRJNA398031_normalized_gene_count_matrix

description: PRJNA398031_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890287.v1
title: PRJNA292861_normalized_gene_count_matrix

description: PRJNA292861_normalized_gene_count_matrix
DOI: 10.24341/tethys.85
title: Geodaten - Blatt 189 Deutschlandsberg (1:50.000)
title: Geodata - sheet 189 Deutschlandsberg (1:50.000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
DOI: 10.6084/m9.figshare.11890293
title: PRJNA401858_phenodata

description: PRJNA401858_phenodata
DOI: 10.6084/m9.figshare.11890281.v1
title: PRJNA398031_phenodata

description: PRJNA398031_phenodata
DOI: 10.6084/m9.figshare.11890281
title: PRJNA398031_phenodata

description: PRJNA398031_phenodata
DOI: 10.6084/m9.figshare.11890290
title: PRJNA292861_phenodata

description: PRJNA292861_phenodata
DOI: 10.6084/m9.figshare.11890299
title: PRJNA391140_normalized_gene_count_matrix

description: PRJNA391140_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890296
title: PRJNA401858_normalized_gene_count_matrix

description: PRJNA401858_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890290.v1
title: PRJNA292861_phenodata

description: PRJNA292861_phenodata
DOI: 10.6084/m9.figshare.11890293.v1
title: PRJNA401858_phenodata

description: PRJNA401858_phenodata
DOI: 10.6084/m9.figshare.11890296.v1
title: PRJNA401858_normalized_gene_count_matrix

description: PRJNA401858_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890302
title: PRJNA391140_phenodata

description: PRJNA391140_phenodata
DOI: 10.6084/m9.figshare.11890302.v1
title: PRJNA391140_phenodata

description: PRJNA391140_phenodata
DOI: 10.6084/m9.figshare.11890299.v1
title: PRJNA391140_normalized_gene_count_matrix

description: PRJNA391140_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890305
title: PRJNA267703_normalized_gene_count_matrix

description: PRJNA267703_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890305.v1
title: PRJNA267703_normalized_gene_count_matrix

description: PRJNA267703_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890308
title: PRJNA267703_phenodata

description: PRJNA267703_phenodata
DOI: 10.6084/m9.figshare.11890317
title: PRJNA309704_phenodata

description: PRJNA309704_phenodata
DOI: 10.6084/m9.figshare.11890308.v1
title: PRJNA267703_phenodata

description: PRJNA267703_phenodata
DOI: 10.6084/m9.figshare.11890323
title: PRJNA293822_normalized_gene_count_matrix

description: PRJNA293822_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890317.v1
title: PRJNA309704_phenodata

description: PRJNA309704_phenodata
DOI: 10.6084/m9.figshare.11890320.v1
title: PRJNA309704_normalized_gene_count_matrix

description: PRJNA309704_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890320
title: PRJNA309704_normalized_gene_count_matrix

description: PRJNA309704_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890329
title: PRJNA430409_normalized_gene_count_matrix

description: PRJNA430409_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890326.v1
title: PRJNA293822_phenodata

description: PRJNA293822_phenodata
DOI: 10.6084/m9.figshare.11890323.v1
title: PRJNA293822_normalized_gene_count_matrix

description: PRJNA293822_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890326
title: PRJNA293822_phenodata

description: PRJNA293822_phenodata
DOI: 10.6084/m9.figshare.11890332
title: PRJNA430409_phenodata

description: PRJNA430409_phenodata
DOI: 10.6084/m9.figshare.11890332.v1
title: PRJNA430409_phenodata

description: PRJNA430409_phenodata
DOI: 10.6084/m9.figshare.11890335
title: PRJNA281134_phenodata

description: PRJNA281134_phenodata
DOI: 10.6084/m9.figshare.11890329.v1
title: PRJNA430409_normalized_gene_count_matrix

description: PRJNA430409_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890341.v1
title: PRJNA322294_phenodata

description: PRJNA322294_phenodata
DOI: 10.6084/m9.figshare.11890335.v1
title: PRJNA281134_phenodata

description: PRJNA281134_phenodata
DOI: 10.6084/m9.figshare.11890338
title: PRJNA281134_normalized_gene_count_matrix

description: PRJNA281134_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890341
title: PRJNA322294_phenodata

description: PRJNA322294_phenodata
DOI: 10.6084/m9.figshare.11890338.v1
title: PRJNA281134_normalized_gene_count_matrix

description: PRJNA281134_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890356
title: PRJNA336339_phenodata

description: PRJNA336339_phenodata
DOI: 10.6084/m9.figshare.11890344.v1
title: PRJNA322294_normalized_gene_count_matrix

description: PRJNA322294_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890359.v1
title: PRJNA336339_normalized_gene_count_matrix

description: PRJNA336339_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890362
title: PRJNA323485_phenodata

description: PRJNA323485_phenodata
DOI: 10.6084/m9.figshare.11890344
title: PRJNA322294_normalized_gene_count_matrix

description: PRJNA322294_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890359
title: PRJNA336339_normalized_gene_count_matrix

description: PRJNA336339_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890356.v1
title: PRJNA336339_phenodata

description: PRJNA336339_phenodata
DOI: 10.6084/m9.figshare.11890365
title: PRJNA323485_normalized_gene_count_matrix

description: PRJNA323485_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890365.v1
title: PRJNA323485_normalized_gene_count_matrix

description: PRJNA323485_normalized_gene_count_matrix
DOI: 10.6084/m9.figshare.11890521
title: Bionformatics analysis pipeline

description: Bionformatics analysis pipeline applied analyze the data (with links to external resources and custom python scripts used within this analysis).
DOI: 10.6084/m9.figshare.11890527
title: List of all possible analysis configurations

description: List of all possible combination of conditions (derived from the phenodata of each Bioproject) useful to subset and analyze each count data table within R
DOI: 10.6084/m9.figshare.11891421
title: Full Length tables-Log2 Fold Change Values

description: Full Length tables of Log2 Fold Change Value for each-configuration within each bioproject. The tables are presented without fold change threshold and q-value filters
DOI: 10.6084/m9.figshare.11890362.v1
title: PRJNA323485_phenodata

description: PRJNA323485_phenodata
DOI: 10.6084/m9.figshare.11891295.v1
title: Statistically Significantly Differentially expressed genes for each configuration within each Bioproject

description: Statistically Significantly Differentially expressed genes for each configuration within each Bioproject
DOI: 10.6084/m9.figshare.11890527.v1
title: List of all possible analysis configurations

description: List of all possible combination of conditions (derived from the phenodata of each Bioproject) useful to subset and analyze each count data table within R
DOI: 10.6084/m9.figshare.11891295
title: Statistically Significantly Differentially expressed genes for each configuration within each Bioproject

description: Statistically Significantly Differentially expressed genes for each configuration within each Bioproject
DOI: 10.6084/m9.figshare.11891421.v1
title: Full Length tables-Log2 Fold Change Values

description: Full Length tables of Log2 Fold Change Value for each-configuration within each bioproject. The tables are presented without fold change threshold and q-value filters
DOI: 10.6084/m9.figshare.13011974
title: PRJNA495330_normalized gene count matrix

description: PRJNA495330_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011974.v1
title: PRJNA495330_normalized gene count matrix

description: PRJNA495330_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011977
title: PRJNA516641_normalized gene count matrix

description: PRJNA516641_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011986
title: PRJNA479752_normalized gene count matrix

description: PRJNA479752_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011983
title: PRJNA506950_normalized gene count matrix

description: PRJNA506950_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011983.v1
title: PRJNA506950_normalized gene count matrix

description: PRJNA506950_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011980
title: PRJNA352967_normalized gene count matrix

description: PRJNA352967_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011980.v1
title: PRJNA352967_normalized gene count matrix

description: PRJNA352967_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011992
title: PRJNA352967_phenodata

description: PRJNA352967_phenodata
DOI: 10.6084/m9.figshare.13011992.v1
title: PRJNA352967_phenodata

description: PRJNA352967_phenodata
DOI: 10.6084/m9.figshare.13011989
title: PRJNA415948_normalized gene count matrix

description: PRJNA415948_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011986.v1
title: PRJNA479752_normalized gene count matrix

description: PRJNA479752_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011995
title: PRJNA495330_phenodata

description: PRJNA495330_phenodata
DOI: 10.6084/m9.figshare.13011989.v1
title: PRJNA415948_normalized gene count matrix

description: PRJNA415948_normalized gene count matrix
DOI: 10.6084/m9.figshare.13011995.v1
title: PRJNA495330_phenodata

description: PRJNA495330_phenodata
DOI: 10.6084/m9.figshare.13011998
title: PRJNA479752_phenodata

description: PRJNA479752_phenodata
DOI: 10.6084/m9.figshare.13012001.v1
title: PRJNA415948_phenodata

description: PRJNA415948_phenodata
DOI: 10.6084/m9.figshare.13012001
title: PRJNA415948_phenodata

description: PRJNA415948_phenodata
DOI: 10.6084/m9.figshare.13012004
title: PRJNA516641_phenodata

description: Phenodata file related to PRJNA516641
DOI: 10.6084/m9.figshare.13011998.v1
title: PRJNA479752_phenodata

description: PRJNA479752_phenodata
DOI: 10.6084/m9.figshare.13012004.v1
title: PRJNA516641_phenodata

description: Phenodata file related to PRJNA516641
DOI: 10.6084/m9.figshare.13012256
title: PRJNA506950_phenodata

description: Phenodata file related to PRJNA506950
DOI: 10.6084/m9.figshare.13012256.v1
title: PRJNA506950_phenodata

description: Phenodata file related to PRJNA506950
DOI: 10.5281/zenodo.4699393
title: Proper Othogonal Decomposition of SAR-derived ice velocity - Data and Code

description: 17th June 2021. David Ashmore, University of Liverpool (UK).<br> ashmore@liverpool.ac.uk / david.w.ashmore@outlook.com Companion material for manuscript submitted to The Cryosphere: David W. Ashmore, Douglas W. F. Mair, Jonathan E. Higham, Stephen Brough, James M. Lea, and Isabel J. Nias.<sup> </sup>(2021). Proper orthogonal decomposition of ice velocity identifies drivers of flow variability at Sermeq Kujalleq (Jakobshavn Isbræ).
DOI: 10.5281/zenodo.4699392
title: Proper Othogonal Decomposition of SAR-derived ice velocity - Data and Code

description: 17th June 2021. David Ashmore, University of Liverpool (UK).<br> ashmore@liverpool.ac.uk / david.w.ashmore@outlook.com Companion material for manuscript submitted to The Cryosphere: David W. Ashmore, Douglas W. F. Mair, Jonathan E. Higham, Stephen Brough, James M. Lea, and Isabel J. Nias.<sup> </sup>(2021). Proper orthogonal decomposition of ice velocity identifies drivers of flow variability at Sermeq Kujalleq (Jakobshavn Isbræ).
DOI: 10.25919/z5xq-nt14
title: Parkes observations for project P1038 semester 2021APRS_09

description: PSR~J1759-2402 is one of a small handful of pulsars which are in orbit about high mass stars. Its orbital period is 8.3 years and the orbit is highly eccentric with periastron expected in 2021 March. Although discovered at Parkes, the Lovell telescope has been monitoring the pulsar over many years. However, it’s restricted bandwidth, maintenance schedule and poorer polarization capability make it unsuitable to follow the pulsar as it enters and leaves the eclipse by the companion. In contrast, the UWL on Parkes with its wide- band and excellent polarization characteristics means that we can, and already have determined scattering, polarization, dispersion measure and rotation measure changes as the pulsar enters its companion wind. We request a continuation of our weekly observations of the pulsar to track its progress on the far side of periastron.
DOI: 10.6084/m9.figshare.14797839
title: Supplementary Material for: Extracorporeal Albumin Dialysis in Liver Failure with MARS and SPAD: A Randomized Crossover Trial

description: <b><i>Introduction:</i></b> Liver failure is associated with hepatic and extrahepatic organ failure leading to a high short-term mortality rate. Extracorporeal albumin dialysis (ECAD) aims to reduce albumin-bound toxins accumulated during liver failure. ECAD detoxifies blood using albumin dialysis through an artificial semipermeable membrane with recirculation (molecular adsorbent recirculating system, MARS) or without (single-pass albumin dialysis, SPAD). <b><i>Methods:</i></b> We performed a randomized crossover open trial in a surgical intensive care unit. The primary outcome of the study was total bilirubin reduction during MARS and during SPAD therapies. The secondary outcomes were conjugated bilirubin and bile acid level reduction during MARS and SPAD sessions and tolerance of dialysis system devices. Inclusion criteria were adult patients presenting liver failure with factor V activity &lt;50% associated with bilirubin ≥250 μmol/L and a complication (either hepatic encephalopathy, severe pruritus, or hepatorenal syndrome). For MARS and SPAD, the dialysis flow rate was equal to 1,000 mL/h. <b><i>Results:</i></b> Twenty crossovers have been performed. Baseline biochemical characteristics (bilirubin, ammonia, bile acids, creatinine, and urea) were not statistically different between MARS and SPAD. Both ECAD have led to a significant reduction in total bilirubin (−83 ± 67 μmol/L after MARS; −122 ± 118 μmol/L after SPAD session), conjugated bilirubin (−82 ± 61 μmol/L after MARS; −105 ± 96 μmol/L after SPAD session), and bile acid levels (−64 ± 75 μmol/L after MARS; −56 ± 56 μmol/L after SPAD session), all nondifferent comparing MARS to SPAD. <b><i>Conclusion:</i></b> A simple-to-perform SPAD therapy with equal to MARS dialysate flow parameters provides the same efficacy in bilirubin and bile acid removal. However, clinically relevant endpoints have to be evaluated in randomized trials to compare MARS and SPAD therapies and to define the place of SPAD in the liver failure care program.
DOI: 10.25919/0v0f-jj56
title: Parkes observations for project P595 semester 2021APRS_06

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.5281/zenodo.4967166
title: Food and feed health risk notifications in the European Union: a historical dataset of the issues registered in the Rapid Alert System for Food and Feed portal.

description: In the actual globalized world, the transportation of goods between any country is something normal. Considering that the protocols in quality and security vary from one country to another, there is a risk with the products that do not comply with the legislation of a country cross the border. In the case of edible products, the importance of avoiding this kind of situation is even higher. Since 1979, European Union members were obligated to register any risk to public health-related with the food and feed that is traded alongside the territory. This information has been registered in a portal called Rapid Alert System for Food and Feed (RASFF). The content of this paper provides a deep description of a set of records that goes from September 1979 to September 2019 both included. Each record represents an issue registered by RASFF workers containing a set of generic features that all issues have in common, and a set of features that are considered details of the issue. The nature of the data in these features is only categorical except in one case, which is a string of characters that correspond to a subject. All the data was downloaded by using an automatic scrapper and using techniques to clean and transform it, so they can be stored as a .csv file. The potential use of the dataset is related to feature engineering, predictions, a search of behavior patterns, etc.
DOI: 10.5281/zenodo.4967165
title: Food and feed health risk notifications in the European Union: a historical dataset of the issues registered in the Rapid Alert System for Food and Feed portal.

description: In the actual globalized world, the transportation of goods between any country is something normal. Considering that the protocols in quality and security vary from one country to another, there is a risk with the products that do not comply with the legislation of a country cross the border. In the case of edible products, the importance of avoiding this kind of situation is even higher. Since 1979, European Union members were obligated to register any risk to public health-related with the food and feed that is traded alongside the territory. This information has been registered in a portal called Rapid Alert System for Food and Feed (RASFF). The content of this paper provides a deep description of a set of records that goes from September 1979 to September 2019 both included. Each record represents an issue registered by RASFF workers containing a set of generic features that all issues have in common, and a set of features that are considered details of the issue. The nature of the data in these features is only categorical except in one case, which is a string of characters that correspond to a subject. All the data was downloaded by using an automatic scrapper and using techniques to clean and transform it, so they can be stored as a .csv file. The potential use of the dataset is related to feature engineering, predictions, a search of behavior patterns, etc.
DOI: 10.24341/tethys.86
title: Geodaten - Blatt 195 Sillian (1:50.000)
title: Geodata - sheet 195 Sillian (1:50.000)

description: Die Geodaten wurden aus dem Kartenwerk GK50 „Geologische Karte der Republik Österreich 1:50.000“ abgeleitet. Die Datengrundlage basiert auf einer umfassenden Datenerhebung im Rahmen der gesetzlich verankerten geologischen Landesaufnahme von Österreich, welche eine umfangreiche Literaturrecherche, die Geländekartierung, sowie die Probenahme mit wissenschaftlichen Analysen und Messungen beinhaltet. Die im BMN-Blattschnitt veröffentlichten Geodaten entsprechen dem aktuellen Wissensstand zum Zeitpunkt des Kartendruckes und können geringfügig von den Originalen abweichen.
description: Die vorliegende Datenpublikation ist ein Bestandteil der Kartenserie „Geologische Karte der Republik Österreich 1:50.000“ (GK50), die im Zeitraum zwischen 1977 und 2017 veröffentlicht wurden und aus insgesamt 89 Geodatensätzen besteht. Eine ausführliche Datenbeschreibung wird mit den Kartendaten bereitgestellt und kann direkt zu jeder Publikation heruntergeladen werden.
description: This data publication is part of the map series "Geological Map of the Republic of Austria 1:50.000" (GK50), published between 1977 and 2017 consisting of 89 spatial data sets. A detailed data description is provided with the map data and can be downloaded together with the data publication.