cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/7z6t-6162
title: Parkes observations for project P1054 semester 2023OCTS_02

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Twentyfive sources have been discovered in targeted observations of Fermi unidentified point sources, one in association with a Supernova Remnant, 13 in the Magellanic Clouds, 72 in Globular Clusters and 78 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.5281/zenodo.10118647
title: Synthesized training and validation dataset for DeepMB
DOI: 10.5281/zenodo.10118646
title: Synthesized training and validation dataset for DeepMB
DOI: 10.5281/zenodo.8164912
title: A flashing flow model for the rapid depressurization of CO2 in a pipe accounting for bubble nucleation and growth – dataset

description: This dataset contains data from the depressurization of pure CO2 in a tube from a cold, dense-liquid state. The data is described in the accompanying paper (DOI: 10.1016/j.ijmultiphaseflow.2023.104666).
Test number; fluid; pressure (MPa); temperature (deg C):25; CO2; 12.3; 4.6
DOI: 10.5281/zenodo.8164913
title: A flashing flow model for the rapid depressurization of CO2 in a pipe accounting for bubble nucleation and growth – dataset

description: This dataset contains data from the depressurization of pure CO2 in a tube from a cold, dense-liquid state. The data is described in the accompanying paper (DOI: 10.1016/j.ijmultiphaseflow.2023.104666).
Test number; fluid; pressure (MPa); temperature (deg C):25; CO2; 12.3; 4.6
DOI: 10.15151/esrf-es-1338645007
title: Transient Photo-structural Effects in Amorphous Chalcogenides

description: We propose here to perform a pump and probe X-ray diffraction experiment to study the structural changes induced by laser illumination. Chalcogenide glasses show numerous interesting, and often puzzling, effects when irradiated with a laser (i.e., refractive index and density variations). Although the phenomenology of these effects has been studied and discussed, their microscopic origin is still debated. The majority of the proposed models postulates that the impinging photons trigger atomic rearrangement, but there are not detailed structural studies. With the proposed experiment we aim at understanding the structural variations caused by the photons and their role on the photoinduced phenomena.
DOI: 10.15151/esrf-es-1338647753
title: Detoxification of methylmecury in dolphins

description: We propose to study how methylmercury is detoxified in the muscles of dolphins from the east coast of Florida. The identity and proportions of the Hg species will be obtained using Hg L3-edge HERFD-XANES spectroscopy, and the metabolic demethylation pathways will be obtained by inverting the Hg speciation and the 202Hg and 198Hg isotopic data. Results will allow us to assess if the animals suffer from Hg toxicity, which typically impair swimming bahavior and their survival.
DOI: 10.15151/esrf-es-1338651148
title: Towards Deeper Understanding of the Kinetics of the Electrooxidation of Platinum

description: Pt catalysts are still the only practical cathode material in proton-exchange membrane fuel cells (PEMFC) despite their limited long-term stability, which results from irreversible surface restructuring and Pt dissolution upon oxidation/reduction. Understanding these processes is mandatory for increasing the lifetime. Our previous studies on Pt(111) and Pt(100) revealed the mechanism by which Pt atoms are extracted from the surface during the initial stages of oxidation. However, the relationship between the electrochemical charge transfer that is required for the formation of surface oxide species and restructuring of the Pt surface is still unknown. We here propose to disentangle these processes by systematic studies of the oxidation/reduction kinetics on Pt(111) and Pt(100) on the millisecond time scale. In these studies, we will monitor the Pt extraction and charge transfer by operando high energy X-ray surface diffraction (HESXRD) and simultaneous electrochemical measurements.
DOI: 10.5281/zenodo.3530253
title: PAN19 Authorship Analysis: Celebrity Profiling

description: Celebrities are among the most prolific users of social media, promoting their personas and rallying followers. This activity is closely tied to genuine writing samples, rendering them worthy research subjects in many respects, not least author profiling.


The Celebrity Profiling task this year is to predict four traits of a celebrity from their social media communication. The traits are the degree of fame, occupation, age, and gender. The social media communication is given as the teaser messages from past tweets. The goal is to develop a piece of software which predicts celebrity traits from the teaser history.


The training dataset contains two files: a feeds.ndjson as input and a labels.ndjson as output. Each file lists all celebrities as JSON objects, one per line and identified by the id key.


The input file contains the cid and a list of all teaser messages for each celebrity.


{"id": 1234, "text": ["a tweet", "another tweet", ...]}


The output file contains the cid and a value for each trait for each celebrity from the input file.


{"id": 1234, "fame": "star", "occupation": "sports", "gender": "female", "birthyear": 2002}


The following values are possible for each of the traits:


fame := {rising, star, superstar} 
occupation := {sports, performer, creator, politics, manager, science, professional, religious} 
birthyear := {1940, ..., 2012} 
gender := {male, female, nonbinary}
DOI: 10.5281/zenodo.3530252
title: PAN19 Authorship Analysis: Celebrity Profiling

description: Paper: https://webis.de/publications.html?q=wiegmann_2019a
Source Dataset: https://files.webis.de/data-in-progress/data-research/social-media-analysis/acl19-celebrity-profiling/
 
Celebrities are among the most prolific users of social media, promoting their personas and rallying followers. This activity is closely tied to genuine writing samples, rendering them worthy research subjects in many respects, not least author profiling.
The Celebrity Profiling task this year is to predict four traits of a celebrity from their social media communication. The traits are the degree of fame, occupation, age, and gender. The social media communication is given as the teaser messages from past tweets. The goal is to develop a piece of software which predicts celebrity traits from the teaser history.
The training dataset contains two files: a feeds.ndjson as input and a labels.ndjson as output. Each file lists all celebrities as JSON objects, one per line and identified by the id key.
The input file contains the cid and a list of all teaser messages for each celebrity.
{"id": 1234, "text": ["a tweet", "another tweet", ...]}
The output file contains the cid and a value for each trait for each celebrity from the input file.
{"id": 1234, "fame": "star", "occupation": "sports", "gender": "female", "birthyear": 2002}
The following values are possible for each of the traits:
fame := {rising, star, superstar} 
occupation := {sports, performer, creator, politics, manager, science, professional, religious} 
birthyear := {1940, ..., 2012} 
gender := {male, female, nonbinary}
DOI: 10.5281/zenodo.3885373
title: PAN19 Authorship Analysis: Celebrity Profiling

description: Paper: https://webis.de/publications.html?q=wiegmann_2019a
Source Dataset: https://files.webis.de/data-in-progress/data-research/social-media-analysis/acl19-celebrity-profiling/
 
Celebrities are among the most prolific users of social media, promoting their personas and rallying followers. This activity is closely tied to genuine writing samples, rendering them worthy research subjects in many respects, not least author profiling.
The Celebrity Profiling task this year is to predict four traits of a celebrity from their social media communication. The traits are the degree of fame, occupation, age, and gender. The social media communication is given as the teaser messages from past tweets. The goal is to develop a piece of software which predicts celebrity traits from the teaser history.
The training dataset contains two files: a feeds.ndjson as input and a labels.ndjson as output. Each file lists all celebrities as JSON objects, one per line and identified by the id key.
The input file contains the cid and a list of all teaser messages for each celebrity.
{"id": 1234, "text": ["a tweet", "another tweet", ...]}
The output file contains the cid and a value for each trait for each celebrity from the input file.
{"id": 1234, "fame": "star", "occupation": "sports", "gender": "female", "birthyear": 2002}
The following values are possible for each of the traits:
fame := {rising, star, superstar} 
occupation := {sports, performer, creator, politics, manager, science, professional, religious} 
birthyear := {1940, ..., 2012} 
gender := {male, female, nonbinary}
DOI: 10.6084/m9.figshare.24116991
title: An integrated CMOS–silicon-photonics transmitter with a 112 gigabaud transmission and picojoule per bit energy efficiency

description: Data source of the article "An integrated CMOS–silicon-photonics transmitter with a 112 gigabaud transmission and picojoule per bit energy efficiency "
DOI: 10.6084/m9.figshare.24116991.v1
title: An integrated CMOS–silicon-photonics transmitter with a 112 gigabaud transmission and picojoule per bit energy efficiency

description: Data source of the article "An integrated CMOS–silicon-photonics transmitter with a 112 gigabaud transmission and picojoule per bit energy efficiency "
DOI: 10.6084/m9.figshare.24100797
title: A tin-based tandem electrocatalyst for CO2 reduction to ethanol with 80% selectivity

description: Sorce Data
DOI: 10.6084/m9.figshare.24100797.v1
title: A tin-based tandem electrocatalyst for CO2 reduction to ethanol with 80% selectivity

description: Sorce Data
DOI: 10.6084/m9.figshare.23948991.v1
title: A fish cartel for Africa

description: Data and Code for: “A fish cartel for Africa”
DOI: 10.6084/m9.figshare.23948991
title: A fish cartel for Africa

description: Data and Code for: “A fish cartel for Africa”
DOI: 10.6084/m9.figshare.23932512
title: Knockout or inhibition of USP30 protects dopaminergic neurons in a Parkinson’s disease mouse model

description: Mutations in SNCA, the gene encoding α-synuclein (αSyn), cause familial Parkinson’s disease (PD) and aberrant αSyn is a key pathological hallmark of idiopathic PD. Accumulating evidence shows that this α-synucleinopathy leads to mitochondrial dysfunction, which drives the progression of dopaminergic neurodegeneration in PD patients and animal models. These observations are reinforced by the fact that PARKIN and PINK1, mutated in autosomal recessive PD, regulate the preferential autophagic clearance of dysfunctional mitochondria (“mitophagy”) by inducing ubiquitination of mitochondrial proteins, a process counteracted by deubiquitination via USP30. To understand how αSyn accumulation and toxicity relate to mitophagy, we created Usp30 knockout (KO) mice and pharmacological USP30 inhibitors. We now show that Usp30 KO mice are viable, show no overt pathologies and are protected against αSyn induced pathology. We further show that USP30 loss leads to increased levels of mitophagy in dopaminergic neurons and attenuates dopaminergic neuronal loss and the behavioral deficits induced by αSyn following stereotaxic injection of AAV-A53T-SNCA into the substantia nigra (SN). Moreover, this functional rescue is associated with significantly decreased pathological phospho-S129 αSyn in dopaminergic neurons of the SN in Usp30 KO mice. These observations were recapitulated with a potent, selective, brain-penetrant USP30 inhibitor, MTX115325 (USP30i), with good drug-like properties. These data strongly support further study of USP30 inhibition as a potential disease-modifying therapy for PD.
DOI: 10.6084/m9.figshare.23932512.v1
title: Knockout or inhibition of USP30 protects dopaminergic neurons in a Parkinson’s disease mouse model

description: Mutations in SNCA, the gene encoding α-synuclein (αSyn), cause familial Parkinson’s disease (PD) and aberrant αSyn is a key pathological hallmark of idiopathic PD. Accumulating evidence shows that this α-synucleinopathy leads to mitochondrial dysfunction, which drives the progression of dopaminergic neurodegeneration in PD patients and animal models. These observations are reinforced by the fact that PARKIN and PINK1, mutated in autosomal recessive PD, regulate the preferential autophagic clearance of dysfunctional mitochondria (“mitophagy”) by inducing ubiquitination of mitochondrial proteins, a process counteracted by deubiquitination via USP30. To understand how αSyn accumulation and toxicity relate to mitophagy, we created Usp30 knockout (KO) mice and pharmacological USP30 inhibitors. We now show that Usp30 KO mice are viable, show no overt pathologies and are protected against αSyn induced pathology. We further show that USP30 loss leads to increased levels of mitophagy in dopaminergic neurons and attenuates dopaminergic neuronal loss and the behavioral deficits induced by αSyn following stereotaxic injection of AAV-A53T-SNCA into the substantia nigra (SN). Moreover, this functional rescue is associated with significantly decreased pathological phospho-S129 αSyn in dopaminergic neurons of the SN in Usp30 KO mice. These observations were recapitulated with a potent, selective, brain-penetrant USP30 inhibitor, MTX115325 (USP30i), with good drug-like properties. These data strongly support further study of USP30 inhibition as a potential disease-modifying therapy for PD.
DOI: 10.5281/zenodo.7357804
title: FIRE14 Detection of SOurce COde Re-use

description: This data was used for the PAN shared task on source code re-use detection at FIRE2014. 


Please find the task description at https://pan.webis.de/fire14/pan14-web/index.html.


THIS DATA


For the training phase we provide an annotated corpus including with the programming language extensions. It includes information about whether a text fragment has been re-used and, if it is the case, what its source is.



	
The collection consists of source codes written in Java and C.
	
Re-use is commited in both programming languages but ONLY at monolingual level.
	
The Java collection contains 259 source codes from 000.java to 258.java.
	
The C collection contains 79 source codes from 000.c to 078.c.
	
Relevance Judgements represent re-use in both directions(a→b and b→a)



In the test phase the only annotation that will be provided in the corpus is the programming language extensions.



	
It is divided by programming language (C/C++ and JAVA) so you do not need any pre-process to identify the programming language of the source codes.
	
Each programming language folder contains 6 folders (A1, B1, B2, C1 and C2) that contains a specific scenario with monolingual re-use.
	
There is not re-use between scenarios so you just need to look for re-used cases among the source code files inside each folder.
	
The name of the files consists of the name of the task which they belong plus an identifier. For example, file "B10021" belongs to scenario B1 and its identifier number is 0021.
	
It could not exist re-use between source codes that belong to different scenarios. For example, you do not have to submit a re-used case between files "B10021" and "B20013". The first one belongs to scenario B1 but the second one belongs to B2.
DOI: 10.5281/zenodo.7357805
title: FIRE14 Detection of SOurce COde Re-use

description: This data was used for the PAN shared task on source code re-use detection at FIRE2014. Please find the task description at https://pan.webis.de/fire14/pan14-web/index.html. <strong>THIS DATA</strong> For the training phase we provide an annotated corpus including with the programming language extensions. It includes information about whether a text fragment has been re-used and, if it is the case, what its source is. The collection consists of source codes written in Java and C. Re-use is commited in both programming languages but ONLY at monolingual level. The Java collection contains 259 source codes from 000.java to 258.java. The C collection contains 79 source codes from 000.c to 078.c. Relevance Judgements represent re-use in both directions(a→b and b→a) In the test phase the only annotation that will be provided in the corpus is the programming language extensions. It is divided by programming language (C/C++ and JAVA) so you do not need any pre-process to identify the programming language of the source codes. Each programming language folder contains 6 folders (A1, B1, B2, C1 and C2) that contains a specific scenario with monolingual re-use. There is not re-use between scenarios so you just need to look for re-used cases among the source code files inside each folder. The name of the files consists of the name of the task which they belong plus an identifier. For example, file "B10021" belongs to scenario B1 and its identifier number is 0021. It could not exist re-use between source codes that belong to different scenarios. For example, you do not have to submit a re-used case between files "B10021" and "B20013". The first one belongs to scenario B1 but the second one belongs to B2.
DOI: 10.5281/zenodo.7433031
title: FIRE14 Detection of SOurce COde Re-use

description: This data was used for the PAN shared task on source code re-use detection at FIRE2014. 


Please find the task description at https://pan.webis.de/fire14/pan14-web/index.html.


THIS DATA


For the training phase we provide an annotated corpus including with the programming language extensions. It includes information about whether a text fragment has been re-used and, if it is the case, what its source is.



	
The collection consists of source codes written in Java and C.
	
Re-use is commited in both programming languages but ONLY at monolingual level.
	
The Java collection contains 259 source codes from 000.java to 258.java.
	
The C collection contains 79 source codes from 000.c to 078.c.
	
Relevance Judgements represent re-use in both directions(a→b and b→a)



In the test phase the only annotation that will be provided in the corpus is the programming language extensions.



	
It is divided by programming language (C/C++ and JAVA) so you do not need any pre-process to identify the programming language of the source codes.
	
Each programming language folder contains 6 folders (A1, B1, B2, C1 and C2) that contains a specific scenario with monolingual re-use.
	
There is not re-use between scenarios so you just need to look for re-used cases among the source code files inside each folder.
	
The name of the files consists of the name of the task which they belong plus an identifier. For example, file "B10021" belongs to scenario B1 and its identifier number is 0021.
	
It could not exist re-use between source codes that belong to different scenarios. For example, you do not have to submit a re-used case between files "B10021" and "B20013". The first one belongs to scenario B1 but the second one belongs to B2.
DOI: 10.25625/pvfhwa/bzlufl
title: Live-Docs and RDM_ Reproducibility and beyond.pdf

description: Slides for the LiveDocs and RDM session at the CRC 1456 Research Retreat in Hofgeismar
DOI: 10.25625/pvfhwa
title: Slides for the CRC 1456 Research Retreat Session "Live-Docs and RDM: Reproducibility and beyond"

description: Slides presented at the CRC 1456 Research Retreat in Hofgeismar.
DOI: 10.5281/zenodo.10122210
title: Dataset related to article "Multidisciplinary management of adolescents and young adults (AYA) sarcoma: A successful effort of an adult high-volume cancer center"

description: This record contains raw data related to article "Multidisciplinary management of adolescents and young adults (AYA) sarcoma: A successful effort of an adult high-volume cancer center"
Abstract
Introduction: The aim of this retrospective study was to investigate the clinicopathological characteristics of AYA sarcomas and their clinical outcomes at a high-volume single center.
Methods: Demographic, clinicopathological data on the diagnosis, treatment and follow-up of all sarcoma patients aged 16-39 years (ys) observed at our Institute between January 2010 and December 2021 were retrospectively collected, including diagnostic (TTD) and treatment delay(TTT), clinical outcomes (OS and PFS), and late-treatment effects.
Results: We identified 228 AYA patients, median age 30 years, 29% ≤ 25 years, 57% males, 88% soft tissue sarcomas (STS), and 12% bone sarcomas (BS). Among STSs, 13% were small round cell tumors (SRCT), 52% intermediate-high-grade, 24% low-grade STSs. Among BS, 32% were high-grade. Median TTD and TTT were 120 (0-8255) and 7 days (0-83), respectively. Surgery was performed in 83%, radiotherapy in 29%, and systemic therapy in 27%. Median follow-up was 72.9 months(1.6-145), 5-year and 10-year OS were 78.5% and 62%, respectively. Kaplan-Meyer analysis showed a significantly better 5-year OS and PFS for patients with >92 days of TTD (OS 85.7% vs. 66.7%, p = 0.001, PFS 50.2% vs. 24.9%, p = 0.009). According to age (≤25 years vs. > 25 years), 5-year OS was 69.8% versus 82.2%, respectively (p = 0.047).
Conclusion: Our analysis confirmed previous data on sarcoma AYA patients followed in a referral center. Unexpectedly, diagnostic delay was not associated with poor OS and PFS. Patients <25 years showed a poorer prognosis due to the higher incidence of SRCT.
DOI: 10.5281/zenodo.10122211
title: Dataset related to article "Multidisciplinary management of adolescents and young adults (AYA) sarcoma: A successful effort of an adult high-volume cancer center"

description: This record contains raw data related to article "Multidisciplinary management of adolescents and young adults (AYA) sarcoma: A successful effort of an adult high-volume cancer center"
Abstract
Introduction: The aim of this retrospective study was to investigate the clinicopathological characteristics of AYA sarcomas and their clinical outcomes at a high-volume single center.
Methods: Demographic, clinicopathological data on the diagnosis, treatment and follow-up of all sarcoma patients aged 16-39 years (ys) observed at our Institute between January 2010 and December 2021 were retrospectively collected, including diagnostic (TTD) and treatment delay(TTT), clinical outcomes (OS and PFS), and late-treatment effects.
Results: We identified 228 AYA patients, median age 30 years, 29% ≤ 25 years, 57% males, 88% soft tissue sarcomas (STS), and 12% bone sarcomas (BS). Among STSs, 13% were small round cell tumors (SRCT), 52% intermediate-high-grade, 24% low-grade STSs. Among BS, 32% were high-grade. Median TTD and TTT were 120 (0-8255) and 7 days (0-83), respectively. Surgery was performed in 83%, radiotherapy in 29%, and systemic therapy in 27%. Median follow-up was 72.9 months(1.6-145), 5-year and 10-year OS were 78.5% and 62%, respectively. Kaplan-Meyer analysis showed a significantly better 5-year OS and PFS for patients with >92 days of TTD (OS 85.7% vs. 66.7%, p = 0.001, PFS 50.2% vs. 24.9%, p = 0.009). According to age (≤25 years vs. > 25 years), 5-year OS was 69.8% versus 82.2%, respectively (p = 0.047).
Conclusion: Our analysis confirmed previous data on sarcoma AYA patients followed in a referral center. Unexpectedly, diagnostic delay was not associated with poor OS and PFS. Patients <25 years showed a poorer prognosis due to the higher incidence of SRCT.