cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7195748
title: SolarWalk Dataset: Occupant Identification using Indoor Photovoltaic Harvester Output Voltage

description: We present the dataset containing time-series open circuit output voltage traces of indoor photovoltaic cell corresponding to occupant door crossing events to perform smart home occupant identification. We collect shadow patterns of five participants from two different doors in two rooms of a building. We collect a total of 900 door entry and exit events during different hours of the day. We sample the voltage at 50 hz and provide the raw timestamped data. We also pre-process the data to filter the event of interest and label the data with occupant id and type of door events. We provide two example scripts to demonstrate how to process raw data and apply machine learning models for occupant identification using solar cell voltage samples.
DOI: 10.5281/zenodo.7195754
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 2 Submitted Data

description: Submitted data Supplementary Experiment 10 [INTERLAB] Experiment 2 iGEM Leiden 2022
DOI: 10.5281/zenodo.7195753
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 2 Submitted Data

description: Submitted data Supplementary Experiment 10 [INTERLAB] Experiment 2 iGEM Leiden 2022
DOI: 10.5281/zenodo.7195758
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 3 Raw Data

description: Raw data Supplementary Experiment 10 [INTERLAB] Experiment 3 iGEM Leiden 2022
DOI: 10.5281/zenodo.7195757
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 3 Raw Data

description: Raw data Supplementary Experiment 10 [INTERLAB] Experiment 3 iGEM Leiden 2022
DOI: 10.5281/zenodo.7195760
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 3 Submitted Data

description: Submitted data Supplementary Experiment 10 [INTERLAB] Experiment 3 iGEM Leiden 2022
DOI: 10.5281/zenodo.7195759
title: iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Experiment 3 Submitted Data

description: Submitted data Supplementary Experiment 10 [INTERLAB] Experiment 3 iGEM Leiden 2022
DOI: 10.1184/r1/12743276
title: With Childhood Hemispherectomy, One Hemisphere Can Support—But is Suboptimal for—Word and Face Recognition

description: Data and code for paper Granovetter et al. "With Childhood Hemispherectomy, One Hemisphere Can Support—But is Suboptimal for—Word and Face Recognition".
DOI: 10.1184/r1/12743276.v1
title: With Childhood Hemispherectomy, One Hemisphere Can Support—But is Suboptimal for—Word and Face Recognition

description: Data and code for paper Granovetter et al. "With Childhood Hemispherectomy, One Hemisphere Can Support—But is Suboptimal for—Word and Face Recognition".
DOI: 10.25573/data.21330498
title: Raw data and code for analysis

description: The code is written in R, as a rmd file and the following dataesets can be read into this project code to generate all the analysis, figures and tables in the manuscript. Descriptions of each dataset are below: <br> lucunter_Pcrit.csv - raw data for Pcrit trials, SMR calculated from these runs urchin_respirometry_main_new.csv - summary dataset of SMR for each sea urchin trial urchin_survival.csv - this dataset pools the survival data by time hour (i.e. survival by hour) urchin_LT.csv - this dataset summarizes the LT05 and LT50 results by treatment extremes.csv - this dataset is the dissolved oxygen and temperature 9 month timeseries from the 3 m Tierra Obscura reef duration2.csv - dataset with maximum temperatures and corresponding O2 each day in the timeseries from the "extremes.csv" - this is used to create Figure 6 SST_Both_Final_TXT_outlier_rm_updated.txt - dataset of water temperature measured from 2001-2019 at two reef sites (used to create Figure 7) MHW_stats.csv - summary dataset of marine heatwave occurrences and MHW days
DOI: 10.5281/zenodo.7195797
title: Data for GNPS Tutorial

description: Quantification file = <em>DDA_PeakArea_for_GNPS.txt</em> MS/MS spectra file = <em>GnpsMgf_0_20228151332.mgf</em>
DOI: 10.5281/zenodo.7195796
title: Data for GNPS Tutorial

description: Quantification file = <em>DDA_PeakArea_for_GNPS.txt</em> MS/MS spectra file = <em>GnpsMgf_0_20228151332.mgf</em>
DOI: 10.5517/ccdc.csd.cc2cxjzt
title: CCDC 2202177: Experimental Crystal Structure Determination

description: Related Article: Charles J. McMonagle, Gemma F. Turner, Isabelle Jones, David R. Allan, Mark R. Warren, Konstantin V. Kamenev, Simon Parsons, Paul A. Wright, Stephen A. Moggach|2022|Chem.Commun.|58|11507|doi:10.1039/D2CC04649K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cxk0w
title: CCDC 2202178: Experimental Crystal Structure Determination

description: Related Article: Charles J. McMonagle, Gemma F. Turner, Isabelle Jones, David R. Allan, Mark R. Warren, Konstantin V. Kamenev, Simon Parsons, Paul A. Wright, Stephen A. Moggach|2022|Chem.Commun.|58|11507|doi:10.1039/D2CC04649K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0qms
title: CCDC 2205235: Experimental Crystal Structure Determination

description: Related Article: Bingbing Duan, Yao Wu, Yi Gao, Linkun Ying, Jielin Tang, Shiyu Hu, Qiuhua Zhao, Zengqiang Song|2022|Chem.Commun.|58|11555|doi:10.1039/D2CC04030A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28808v
title: CCDC 2093066: Experimental Crystal Structure Determination

description: Related Article: LALIT RAJ SINGH|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc289fst
title: CCDC 2094446: Experimental Crystal Structure Determination

description: Related Article: LALIT RAJ SINGH|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc289ftv
title: CCDC 2094447: Experimental Crystal Structure Determination

description: Related Article: LALIT SINGH|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7057397
title: Evaluation of PD-L1 expression in vulvar cancer

description: <strong>background & Aims: </strong>Vulvar cancer accounts for about 4% of all female genital malignancies. Squamous cell carcinoma is the most common histological type.PD-L1 is a membranous protein of nucleated cells. By binding to its PD-1 receptor, PD-L1 inactivates T lymphocytes. It plays a key role in the treatment of some cancers. Our aims were to study the expression profile of PD-L1 in vulvar cancer by immunohistochemistry and to correlate its expression with survival rates. <strong>Methods:</strong> A retrospective study was conducted in the Pathology Department of Saleh Azaiez Institute, involving 55 patients followed for vulvar cancer over a period of 13 years from January 2008 to December 2021. Clinicopathologic data were collected from medical records and pathology reports. Immunohistochemical analysis was performed using an automaton (Leica Biosystems™). <strong>Results:</strong> PD-L1 expression in vulvar squamous cell carcinoma was observed in 44% of cases. This expression was noted in 11% of cases at the level of lymphocytes whose dissection was negative in all cases with a maximum tumor size of 40 mm. PDL1 was expressed in tumor cells in 33% of cases where there was a positive inguinal dissection in 22% of cases and a maximum tumor size of 90 mm. <strong>Conclusions:</strong> The immune checkpoint inhibitor PD-1/PD-L1 seems to have an important prognostic effect on the development of some cancers (breast cancer, lymphoma). Indeed, the expression of PD-L1 in tumors is often considered a factor of poor prognosis due to its immunosuppressive activity in tumor tissues. Many studies have attempted to determine the prognostic factors of vulvar cancer in order to optimize therapeutic management. PD-L1 expression in vulvar squamous cell carcinoma has not been studied before, hence the interest of our study which suggested, as in the literature, a prognostic role for this protein.
DOI: 10.5281/zenodo.7098027
title: Evaluation of PD-L1 expression in vulvar cancer

description: <strong>background & Aims: </strong>Vulvar cancer accounts for about 4% of all female genital malignancies. Squamous cell carcinoma is the most common histological type.PD-L1 is a membranous protein of nucleated cells. By binding to its PD-1 receptor, PD-L1 inactivates T lymphocytes. It plays a key role in the treatment of some cancers. Our aims were to study the expression profile of PD-L1 in vulvar cancer by immunohistochemistry and to correlate its expression with survival rates. <strong>Methods:</strong> A retrospective study was conducted in the Pathology Department of Saleh Azaiez Institute, involving 55 patients followed for vulvar cancer over a period of 13 years from January 2008 to December 2021. Clinicopathologic data were collected from medical records and pathology reports. Immunohistochemical analysis was performed using an automaton (Leica Biosystems™). <strong>Results:</strong> PD-L1 expression in vulvar squamous cell carcinoma was observed in 44% of cases. This expression was noted in 11% of cases at the level of lymphocytes whose dissection was negative in all cases with a maximum tumor size of 40 mm. PDL1 was expressed in tumor cells in 33% of cases where there was a positive inguinal dissection in 22% of cases and a maximum tumor size of 90 mm. <strong>Conclusions:</strong> The immune checkpoint inhibitor PD-1/PD-L1 seems to have an important prognostic effect on the development of some cancers (breast cancer, lymphoma). Indeed, the expression of PD-L1 in tumors is often considered a factor of poor prognosis due to its immunosuppressive activity in tumor tissues. Many studies have attempted to determine the prognostic factors of vulvar cancer in order to optimize therapeutic management. PD-L1 expression in vulvar squamous cell carcinoma has not been studied before, hence the interest of our study which suggested, as in the literature, a prognostic role for this protein.
DOI: 10.5281/zenodo.6984836
title: Evaluation of PD-L1 expression in vulvar cancer

description: <strong>background & Aims: </strong>Vulvar cancer accounts for about 4% of all female genital malignancies. Squamous cell carcinoma is the most common histological type.PD-L1 is a membranous protein of nucleated cells. By binding to its PD-1 receptor, PD-L1 inactivates T lymphocytes. It plays a key role in the treatment of some cancers. Our aims were to study the expression profile of PD-L1 in vulvar cancer by immunohistochemistry and to correlate its expression with survival rates. <strong>Methods:</strong> A retrospective study was conducted in the Pathology Department of Saleh Azaiez Institute, involving 55 patients followed for vulvar cancer over a period of 13 years from January 2008 to December 2021. Clinicopathologic data were collected from medical records and pathology reports. Immunohistochemical analysis was performed using an automaton (Leica Biosystems™). <strong>Results:</strong> PD-L1 expression in vulvar squamous cell carcinoma was observed in 44% of cases. This expression was noted in 11% of cases at the level of lymphocytes whose dissection was negative in all cases with a maximum tumor size of 40 mm. PDL1 was expressed in tumor cells in 33% of cases where there was a positive inguinal dissection in 22% of cases and a maximum tumor size of 90 mm. <strong>Conclusions:</strong> The immune checkpoint inhibitor PD-1/PD-L1 seems to have an important prognostic effect on the development of some cancers (breast cancer, lymphoma). Indeed, the expression of PD-L1 in tumors is often considered a factor of poor prognosis due to its immunosuppressive activity in tumor tissues. Many studies have attempted to determine the prognostic factors of vulvar cancer in order to optimize therapeutic management. PD-L1 expression in vulvar squamous cell carcinoma has not been studied before, hence the interest of our study which suggested, as in the literature, a prognostic role for this protein.
DOI: 10.5281/zenodo.7195858
title: sanguinaria_canadensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7195857
title: sanguinaria_canadensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7195860
title: Speckle Images for Single-Pixel Multimode Fiber Spectrometer

description: ** General Information ** - Dataset includes 2500 speckle images of size 256x320 used to calibrate the system - Dataset includes 2500 speckle images of size 256x320 used to test the system - 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements - The separation between the consecutive wavelengths is 10 pm <br> ** FOLDER: calibration_data ** - This folder consists of the speckle images used to construct the calibration matrix - "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y <br> ** FOLDER: test_data ** - This folder consists of the speckle images used to test the system in the reconstruction step - "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y
DOI: 10.5281/zenodo.7195859
title: Speckle Images for Single-Pixel Multimode Fiber Spectrometer

description: ** General Information ** - Dataset includes 2500 speckle images of size 256x320 used to calibrate the system - Dataset includes 2500 speckle images of size 256x320 used to test the system - 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements - The separation between the consecutive wavelengths is 10 pm <br> ** FOLDER: calibration_data ** - This folder consists of the speckle images used to construct the calibration matrix - "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y <br> ** FOLDER: test_data ** - This folder consists of the speckle images used to test the system in the reconstruction step - "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y
DOI: 10.5281/zenodo.7193681
title: Biomedical Entities and Relations on Spanish Clinical Case Corpus: BERSCCC

description: This first version of a spanish corpus contains 200 clinical reports annotated with biomedical entities and semantic relations. <br> These reports belong to the Spanish Clinical Case Corpus (SPACCC) (https://doi.org/10.5281/zenodo.2560316)<br> and each of them has been annotated by three persons that work in the medicine, biomolecular or pharmaceutic area. The annotators had to identify the following thirteen types of entities in the spanish lenguage: Enfermedad/Síndrome, Gen, Parte del cuerpo/Órgano, Glúcido, Procedimiento de Diagnóstico, Proteína, Procedimiento Terapeútico, Síntoma/Signo, Sustancia Farmacológica, Lípido, Organismo, Químico Orgánico and Abreviatura/Sigla/Alias.<br> And the next eight semantic relations: Analiza, Altera, Causa, Diagnostica, Manifestación de, Produce, Trata and Refiere a. Finally there were identified 6,636 biomedical entities (37,081 mentions) and 4,864 semantic relations (7,622 mentions). These resources are freely distributed under a Creative Commons Attribution 4.0 International License.<br> The scripts used to create this corpus can be found at: https://github.com/drugs4covid/bio-corpora Author: Lucía Sánchez González, Ontology Engineering Group, Universidad Politécnica de Madrid. Supervisors: - Carlos Badenes Olmedo, Ontology Engineering Group, Universidad Politécnica de Madrid. - María Poveda Villalón, Ontology Engineering Group, Universidad Politécnica de Madrid. Project Member: Óscar Corcho García, Ontology Engineering Group, Universidad Politécnica de Madrid. Contact: Lucía Sánchez González at lu.sanchez@alumnos.upm.es or lusangonz99@gmail.com Acknowledgments to Project DRUGS4COVID++: Servicios de Inteligencia Artificial para la<br> creación de un grafo de conocimientos sobre fármacos usados en el control clínico de la<br> enfermedad, a partir de la explotación de grandes corpus de documentación científica sobre<br> SARS-COV-2 y COVID-19-AYUDAS FUNDACIÓN BBVA A EQUIPOS DE<br> INVESTIGACIÓN CIENTÍFICA SARS-CoV-2 y COVID-19.
DOI: 10.5281/zenodo.7193680
title: Biomedical Entities and Relations on Spanish Clinical Case Corpus: BERSCCC

description: This first version of a spanish corpus contains 200 clinical reports annotated with biomedical entities and semantic relations. <br> These reports belong to the Spanish Clinical Case Corpus (SPACCC) (https://doi.org/10.5281/zenodo.2560316)<br> and each of them has been annotated by three persons that work in the medicine, biomolecular or pharmaceutic area. The annotators had to identify the following thirteen types of entities in the spanish lenguage: Enfermedad/Síndrome, Gen, Parte del cuerpo/Órgano, Glúcido, Procedimiento de Diagnóstico, Proteína, Procedimiento Terapeútico, Síntoma/Signo, Sustancia Farmacológica, Lípido, Organismo, Químico Orgánico and Abreviatura/Sigla/Alias.<br> And the next eight semantic relations: Analiza, Altera, Causa, Diagnostica, Manifestación de, Produce, Trata and Refiere a. Finally there were identified 6,636 biomedical entities (37,081 mentions) and 4,864 semantic relations (7,622 mentions). These resources are freely distributed under a Creative Commons Attribution 4.0 International License.<br> The scripts used to create this corpus can be found at: https://github.com/drugs4covid/bio-corpora Author: Lucía Sánchez González, Ontology Engineering Group, Universidad Politécnica de Madrid. Supervisors: - Carlos Badenes Olmedo, Ontology Engineering Group, Universidad Politécnica de Madrid. - María Poveda Villalón, Ontology Engineering Group, Universidad Politécnica de Madrid. Project Member: Óscar Corcho García, Ontology Engineering Group, Universidad Politécnica de Madrid. Contact: Lucía Sánchez González at lu.sanchez@alumnos.upm.es or lusangonz99@gmail.com Acknowledgments to Project DRUGS4COVID++: Servicios de Inteligencia Artificial para la<br> creación de un grafo de conocimientos sobre fármacos usados en el control clínico de la<br> enfermedad, a partir de la explotación de grandes corpus de documentación científica sobre<br> SARS-COV-2 y COVID-19-AYUDAS FUNDACIÓN BBVA A EQUIPOS DE<br> INVESTIGACIÓN CIENTÍFICA SARS-CoV-2 y COVID-19.
DOI: 10.6084/m9.figshare.19586503
title: Phylogeny, taxonomy, and character evolution in Entoloma subgenus Nolanea — Alignments

description: Alignments to the corresponding phylogenetic trees in the respective paper on Entoloma subg. Nolanea. <br> Multi_locus_full = used for the multi-locus tree <br> ITS_full = used for the large ITS-tree (Suppl. 1) and several pieces with collapsed clades in several figures <br> ACR_algn = used for the ancestral character state analyses <br> starting with "Ktreedist..." = used to test the performance of the different loci
DOI: 10.6084/m9.figshare.20124224
title: Electrophoresis-assisted multilayer assembly of nanoparticles for sensitive lateral flow immunoassay. Raw data

description: Raw data and Figures from the Manuscript and Supplementary materials. Updated version
DOI: 10.6084/m9.figshare.20124224.v1
title: Electrophoresis-assisted multilayer assembly of nanoparticles for sensitive lateral flow immunoassay. Raw data

description: Raw data and Figures from Manuscript and Supplementary materials
DOI: 10.5281/zenodo.7195896
title: hydropsyche_betteni_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7195895
title: hydropsyche_betteni_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc28t7gt
title: CCDC 2109626: Experimental Crystal Structure Determination

description: Related Article: yujiao li|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28tbk0
title: CCDC 2109722: Experimental Crystal Structure Determination

description: Related Article: Yanfei zhang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.3761562.v2370
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.20949031.v2
title: ECHOCARDIOGRAPHIC EVALUATION IN CHILDREN WITH SICKLE CELL ANEMIA: CONTRIBUTION OF 2D STRAIN

description: sickle cell anemia child echocardiography <br>
DOI: 10.6084/m9.figshare.20949031
title: ECHOCARDIOGRAPHIC EVALUATION IN CHILDREN WITH SICKLE CELL ANEMIA: CONTRIBUTION OF 2D STRAIN

description: sickle cell anemia child echocardiography <br>
DOI: 10.6084/m9.figshare.20949031.v3
title: ECHOCARDIOGRAPHIC EVALUATION IN CHILDREN WITH SICKLE CELL ANEMIA: CONTRIBUTION OF 2D STRAIN

description: sickle cell anemia child echocardiography <br>
DOI: 10.5281/zenodo.7078065
title: CRISPRme Dataset

description: CRISPRme dataset used to generate data, reports and figures in CRISPRme pubblication
DOI: 10.5281/zenodo.7195948
title: pseudotulostoma_volvatum_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7195947
title: pseudotulostoma_volvatum_zanfona_1.fasta.gz

description: .
DOI: 10.26093/cds/vizier.34640495
title: UBVI photometry of NGC 45 star clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Imaging of star clusters in unperturbed spiral galaxies with the Advanced Camera for Surveys. I. The low luminosity galaxy NGC 45.' (bibcode: 2007A&A...464..495M)