cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24139083
title: Supplementary Material for: Bioinformatics Analysis and Screening of Potential Target Genes Related to the Lung Cancer Prognosis

description: Objective: Several genes have been validated as molecular targets for gene therapy in lung cancer. We screened target genes that affect survival of patients with lung cancer. Methods: Data on gene expression in normal lung tissues/lung adenocarcinoma (LUAD) samples were acquired from Genotype-Tissue Expression (GTEx)/The Cancer Genome Atlas (TCGA) databases and merged to expand the sample size, followed by differential analysis of the merged expression data and acquisition of differentially expressed genes. Survival and simple Cox analyses were used to screen for genes affecting LUAD survival. Protein-protein interaction/multivariable Cox analyses were utilized, and a risk model was established. Candidate genes expression levels in cancer/paracancerous tissues of lung cancer patients, and BEAS-2B/A549/HCC95 cells were measured by RT-qPCR/Western blot. Survival analysis of candidate genes was conducted in LUAD samples collected from TCGA. Results: Among 947 genes differentially expressed in LUAD, 151 were correlated with patient survival, and 116 might act as risk factors for LUAD. The 7 identified candidate genes (TOP2A, TK1, KIF4A, ANLN, KIF2C, ASF1B, CCNB1) were high-risk genes playing possible roles in LUAD. These genes were differentially expressed in lung cancer and were associated with TNM stages (III - IV)/differentiation grade/lymph node metastasis/distant metastasis, which affected lung cancer patient survival. Conclusion: P2A, TK1, KIF4A, ANLN, KIF2C, ASF1B and CCNB1 were highly-expressed in LUAD/lung squamous cell carcinoma (LUSC) and correlated with LUAD patient survival. This study contributes to better understanding of the prognostic regulation mechanism in LUAD and the screening of target genes for clinical treatment.
DOI: 10.25493/46g6-t33
title: Probabilistic cytoarchitectonic map of CA2 (Hippocampus) (v11.1)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of CA2 (Hippocampus) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to CA2 (Hippocampus). The probability map of CA2 (Hippocampus) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of CA2 (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/K236-R0V](https://doi.org/10.25493/K236-R0V) The most probable delineation of CA2 (Hippocampus) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D)
DOI: 10.25493/4a6x-6f0
title: Probabilistic cytoarchitectonic map of CA1 (Hippocampus) (v11.1)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of CA1 (Hippocampus) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to CA1 (Hippocampus). The probability map of CA1 (Hippocampus) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of CA1 (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/W4WK-QSK](https://doi.org/10.25493%2FW4WK-QSK) The most probable delineation of CA1 (Hippocampus) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.6084/m9.figshare.23829972
title: Supplementary Material for: A heterozygous variant of FGF13 caused X-linked developmental and epileptic encephalopathy 90 in a Chinese family

description: Developmental and epileptic encephalopathy (DEE) refers to a group of severe epilepsy encephalopathy and development disorders, and its typical clinical features include seizures, drug resistance, and developmental delay or regression. To date, limited studies have reported DEEs driven by FGF13. Here, we reported a girl with DEE90 caused by variant of FGF13. Her electroencephalography (EEG) showed discontinuous hypsarrhythmia, and a heterozygous nonsynonymous variant in FGF13 [NM_004114.4: c.5C&gt;G, p.(Ala2Gly)] was identified from the proband. The variant was not reported in public databases such as gnomAD and Exome Aggregation Consortium (ExAC), and predicted to be damaging to proteins and classified as likely pathogenic (LP) according to the ACMG guidelines. The seizure was finally controlled by a combination of ACTH + zonisamide (10 mg/kg.d) + levetiracetam (52 mg/kg.d) + clonazepam (0.7 mg/kg.d).
DOI: 10.6084/m9.figshare.24145716
title: Supplementary Material for: Pulmonary spindle cell carcinoma presenting anaplastic lymphoma kinase rearrangement

description: Pulmonary spindle cell carcinoma is a subtype of pulmonary sarcomatoid carcinoma and a very rare tumor type with a poor prognosis. A few case reports have documented patients with pulmonary sarcomatoid carcinoma with anaplastic lymphoma kinase rearrangement, and the efficacy and outcomes of anaplastic lymphoma kinase inhibitors remain unclear. Herein, we present the case of a 60-year-old woman with stage IVB disease who was diagnosed with a metastatic brain tumor. This patient showed high levels of programmed cell death ligand 1 expression and anaplastic lymphoma kinase rearrangement and received pembrolizumab as the first-line treatment. Three weeks later, pembrolizumab failed to reduce the size of the primary pulmonary tumor, and the patient’s general condition did not improve. The patient received alectinib as the second-line treatment. Two months later, multiple brain metastases were observed. Hence, whole-brain irradiation was performed as treatment for multiple brain metastases, while another anaplastic lymphoma kinase inhibitor was administered; however, both treatments remained ineffective. The patient eventually died 9 months after the initiation of first-line treatment. The present case report describes the therapeutic course of a patient with pulmonary spindle cell carcinoma with an anaplastic lymphoma kinase rearrangement.
DOI: 10.6084/m9.figshare.24160977
title: Supplementary Material for: Feminizing Adrenocortical Tumor with Multiple Recurrences: A Case Report

description: Feminizing adrenocortical tumors (FATs) are exceptionally rare primary adrenal neoplasms that cause high estrogen and low testosterone levels. They are most common in adult males, typically presenting with gynecomastia, hypogonadism, and weight loss. They are almost always malignant, with a poor prognosis and a high recurrence rate. We report a case of a 35-year-old man with an adrenal FAT with high estrogen (181 pg/mL) and low testosterone (37 ng/dL) who presented with gynecomastia, erectile dysfunction, subclinical Cushing syndrome, and pain localizing to different regions of the torso. There was no evidence of metastatic disease initially, as seen by visualization of a well-marginated mass on computed tomography scan. Surgical resection of the FAT was performed, and the mass was confirmed to be a low-grade tumor. Clinical symptoms resolved after surgery. Despite complete resection with negative margins, the patient subsequently had two separate local metastatic recurrences within a few years, treated with a combination of further surgery and medical intervention. This case highlights the unique features of an exceedingly rare adrenal tumor and stresses the importance of early detection and vigilant surveillance following resection due to high recurrence rates.
DOI: 10.17632/t46kfft7hd.1
title: 18F-PSMA-1007 PET imaging in staging of primary and secondary prostate cancer – a retrospective observational cohort study

description: This is the data associated with the paper: 18F-PSMA-1007 PET imaging in staging of primary and secondary prostate cancer – a retrospective observational cohort study.
DOI: 10.17632/5hsf7tzhxv.1
title: Chemical Analyses of Apollo 12 Sample 12013

description: This data includes Instrumental Neutron Activation Analysis (INAA) data and Electron Probe Microanalysis (EMPA) data for Samples 12013 sub-splits 161, 163, 165, and 166. This pairs with the submitted manuscript "Compositional Analysis of Apollo 12 Granitic Breccia 12013: Insights into Protoliths and Formation."
DOI: 10.17632/mxgjpc6trf.1
title: Breaks Project
DOI: 10.17632/mxgjpc6trf.2
title: Breaks Project

description: In this study we tested the hypothesis that breaking up prolonged sitting with isometric exercise would be a useful sitting break strategy to promote cardiovascular health benefits in healthy adults. This is a three-condition randomized crossover study on which participants performed, in randomized order, the following 3 hour conditions: Sitting with no breaks (Control); Sitting with 2 min isometric leg extension exercise breaks every 30 min (Isometric); Sitting with 2 min light-walking exercise breaks every 30 min. Cardiovascular parameters (i.e. Vascular function, blood pressure, cardiac autonomic modulation) were measure before, post 10 min and post 50 min. Our findings did not indicate any significant effects of breaking up sitting with isometric exercise in any of the cardiovascular parameters measured, showing that isometric exercise breaks do not seem to lead to significant effects on cardiovascular health.
DOI: 10.17632/mxgjpc6trf.3
title: Breaks Project

description: In this study, we tested the hypothesis that breaking up prolonged sitting with isometric exercise would be a useful sitting break strategy to promote cardiovascular health and cognitive benefits in healthy adults. This is a three-condition randomized crossover study on which participants performed, in randomized order, the following 3-hour conditions: Sitting with no breaks (Control); Sitting with 2 min isometric leg extension exercise breaks every 30 min (Isometric); Sitting with 2 min light-walking exercise breaks every 30 min. Cardiovascular parameters (i.e. Vascular function, blood pressure, cardiac autonomic modulation) and cognition (Strrop and Eriksen-Flanker tests) were measured before, post 10 min and post 50 min. Our findings did not indicate any significant effects of breaking up sitting with isometric exercise in any of the cardiovascular parameters measured, showing that isometric exercise breaks do not seem to lead to significant effects on cardiovascular health.
DOI: 10.5281/zenodo.10003148
title: Non-systematic surveys reveal increases in areas occupied by endangered and data-deficient Nubian bustard

description: This repository contains the R scripts and data to reproduce the analysis of the manuscript https://doi.org/10.1016/j.gecco.2023.e02682
DOI: 10.5281/zenodo.10003147
title: Non-systematic surveys reveal increases in areas occupied by endangered and data-deficient Nubian bustard

description: This repository contains the R scripts and data to reproduce the analysis of the manuscript https://doi.org/10.1016/j.gecco.2023.e02682
DOI: 10.6084/m9.figshare.24331201
title: Dataset for Reference Intervals of Complete Blood Count and Coagulation Tests in Vietnamese Pregnant Women.xlsx

description: Raw data on complete blood count and coagulation test, updated on 18 Oct, 2023. The establishment and use of the database were approved Ethical committee of Hung Vuong Hospital, Vietnam. The data were collected from the pregnant women who visited obstetrics clinic from June 2023 to August 2023. Data on demographic factors, gestational age, vital signs, laboratory measurements were systematically collected.
DOI: 10.6084/m9.figshare.24331201.v1
title: Dataset for Reference Intervals of Complete Blood Count and Coagulation Tests in Vietnamese Pregnant Women.xlsx

description: Raw data on complete blood count and coagulation test, updated on 18 Oct, 2023. The establishment and use of the database were approved Ethical committee of Hung Vuong Hospital, Vietnam. The data were collected from the pregnant women who visited obstetrics clinic from June 2023 to August 2023. Data on demographic factors, gestational age, vital signs, laboratory measurements were systematically collected.
DOI: 10.5281/zenodo.8056933
title: Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection: datasets

description: This archive contains the datasets used for generating the plots shown in the paper entitled "Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection", authored by Tecla Gabbrielli, Giacomo Insero, Michele De Regis, Nicola Corrias, Iacopo Galli, Davide Mazzotti, Paolo Bartolini, Jeong Hyun Huh, Carsten Cleff, Alexander Kastner, Ronald Holzwarth, Simone Borri, Luigi Consolino, Paolo De Natale, and Francesco Cappelli. 


A README file describing the contained data and how to elaborate them is also provided. 


 
description: The authors also acknowledge financial support by the European Union's NextGenerationEU Programme with the I-PHOQS Infrastructure [IR0000016, ID D2B8D520, CUP B53C22001750006] "Integrated infrastructure initiative in Photonic and Quantum Sciences", by the European Union's QuantERA II [G.A. n. 101017733] – QATACOMB Project "Quantum correlations in terahertz QCL combs", and by the Italian ESFRI Roadmap (Extreme Light Infrastructure – ELI Project).
DOI: 10.5281/zenodo.8414744
title: Data for: Mediterranean Sea heatwaves jeopardize greater amberjack's (Seriola dumerili) aquaculture productivity through impacts on the fish microbiota.

description: The data in this repository with the DOI 10.5281/zenodo.8414745 is licensed under a Creative Commons Attribution 4.0 International License.
For more information, see https://creativecommons.org/licenses/by/4.0.


Physicochemical, microbiome and growth data for:


Paper title: Mediterranean Sea heatwaves jeopardize greater amberjack’s (Seriola dumerili) aquaculture productivity through impacts on the fish microbiota
Paper DOI: 10.3389/fmars.2023.1168953 


Code repository DOI for reproducing the Figures: https://doi.org/10.1038/s43705-023-00243-7


Corresponding Author


Name: Pablo Sanchez
LEITAT Technological Center, 08225, Terrassa, Spain
Address: Carrer Innovació, 2, 08225 Terrassa, Barcelona, Spain
Email: psanchez@leitat.org
 


 
description: This work was funded by the iFishIENCi project and has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 818036.
DOI: 10.5281/zenodo.8414745
title: Data for: Mediterranean Sea heatwaves jeopardize greater amberjack's (Seriola dumerili) aquaculture productivity through impacts on the fish microbiota.

description: The data in this repository with the DOI 10.5281/zenodo.8414745 is licensed under a Creative Commons Attribution 4.0 International License.
For more information, see https://creativecommons.org/licenses/by/4.0.


Physicochemical, microbiome and growth data for:


Paper title: Mediterranean Sea heatwaves jeopardize greater amberjack’s (Seriola dumerili) aquaculture productivity through impacts on the fish microbiota
Paper DOI: 10.3389/fmars.2023.1168953 


Code repository DOI for reproducing the Figures: https://doi.org/10.1038/s43705-023-00243-7


Corresponding Author


Name: Pablo Sanchez
LEITAT Technological Center, 08225, Terrassa, Spain
Address: Carrer Innovació, 2, 08225 Terrassa, Barcelona, Spain
Email: psanchez@leitat.org
 


 
description: This work was funded by the iFishIENCi project and has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 818036.
DOI: 10.5281/zenodo.7728088
title: Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments

description: Context
This dataset is part of the paper "Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments" presented at Oceans 2022, Hampton Roads, DOI: 10.1109/OCEANS47191.2022.9977024
This dataset consists of paired camera and multi-beam sonar images of technical divers performing different underwater tasks in two locations: an indoor test basin and a lake. The general goal is to assist emergency operators that monitor the safety of divers operating in bad visibility conditions.
This data was used to train image-to-image translation models in order to generate realistic optical-like images given only sonar images as input or a combination of a sonar image and a dark or turbid optical image.
 
Content
This repository contains three .zip folders each containing data collected in a different lab or field trial.

'basin-dataset-1.zip' and 'basin-dataset-2.zip' contain data that were collected in an indoor testing facility at DFKI - Robotics Innovation Center, Bremen, Germany.
'lake-dataset-1.zip' and 'lake-dataset-2.zip' contains data collected at lake Kreidesee, Hemmoor, Germany.
Each .zip file contains two subfolders labelled as 'camera' and 'sonar', each containing the images in png format. Data files under these subfolders with matching names composes a pair of time-synchronized images. For example, 'camera/0001.png' corresponds to 'sonar/0001.png'. The acquisition timestamp represented in seconds since epoch for every data file is recorded in 'sample.csv' include in each .zip file.
For more details and meta-information on the collected data please refer to "data_description.json" included in this repository.
Additional tools for handling and preparing the data can be found under https://github.com/DeeperSense/oceans_2022
 
Acknowledgements
The data in this repository were collected as a joint effort between the German Center for Artificial Intelligence (DFKI), the German Federal Agency for technical Relief (THW), and Kraken Robotics GmbH. This work is part of the project DeeperSense that received funding from the European Commission. Program H2020-ICT-2020-2 ICT-47-2020 Project Number: 101016958.
The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their initiative within the framework of the NFDI4Ing consortium (German Research Foundation (DFG) - project number 442146713).
DOI: 10.5281/zenodo.7728089
title: Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments

description: Context
This dataset is part of the paper "Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments" presented at Oceans 2022, Hampton Roads, DOI: 10.1109/OCEANS47191.2022.9977024
This dataset consists of paired camera and multi-beam sonar images of technical divers performing different underwater tasks in two locations: an indoor test basin and a lake. The general goal is to assist emergency operators that monitor the safety of divers operating in bad visibility conditions.
This data was used to train image-to-image translation models in order to generate realistic optical-like images given only sonar images as input or a combination of a sonar image and a dark or turbid optical image.
 
Content
This repository contains three .zip folders each containing data collected in a different lab or field trial.

'basin-dataset-1.zip' and 'basin-dataset-2.zip' contain data that were collected in an indoor testing facility at DFKI - Robotics Innovation Center, Bremen, Germany.
'lake-dataset-1.zip' and 'lake-dataset-2.zip' contains data collected at lake Kreidesee, Hemmoor, Germany.
Each .zip file contains two subfolders labelled as 'camera' and 'sonar', each containing the images in png format. Data files under these subfolders with matching names composes a pair of time-synchronized images. For example, 'camera/0001.png' corresponds to 'sonar/0001.png'. The acquisition timestamp represented in seconds since epoch for every data file is recorded in 'sample.csv' include in each .zip file.
For more details and meta-information on the collected data please refer to "data_description.json" included in this repository.
Additional tools for handling and preparing the data can be found under https://github.com/DeeperSense/oceans_2022
 
Acknowledgements
The data in this repository were collected as a joint effort between the German Center for Artificial Intelligence (DFKI), the German Federal Agency for technical Relief (THW), and Kraken Robotics GmbH. This work is part of the project DeeperSense that received funding from the European Commission. Program H2020-ICT-2020-2 ICT-47-2020 Project Number: 101016958.
The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their initiative within the framework of the NFDI4Ing consortium (German Research Foundation (DFG) - project number 442146713).
DOI: 10.4121/2f58f936-045b-4aa9-9644-456ed160eebe.v2
title: Worldwide Best Practices of Circular Medical Devices, a dataset with over 346 products

description: Overview of best practices found in a worldwide search for circular, electronic medical devices based on desk research. The dataset contains over 346 devices which have all been given a circularity rating based on a predefined point system .