cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13182119.v1
title: Supplementary Table S6.1.

description: Metadata, genome assembly statistics and antibiotic resistance phenotype and genotype data of the novel sequenced Portuguese Neisseria gonorrhoeae isolates enrolled in the present study. NA - Not applicable; ND - Not determined; P/A - Presence/Absence; MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; SUL – Sulfonamides; rXXX – Resistant to; dXXX – Decreased susceptibility to; AMR – antimicrobial resistance; MLST – Multi-locus Sequence Type; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Type; cgMLST – core-genome Multi-locus Sequence Typing; ENA – European Nucleotide Archive; NUT – Nomenclature of Territorial Units for Statistics; MIC - Minimum inhibitory concentration; RP - Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).
DOI: 10.6084/m9.figshare.13182125.v1
title: Supplementary Table S6.2.

description: Associated patient data and antibiotic susceptibility data of all viable Neisseria gonorrhoeae isolates collected in 2019 in Portugal on behalf of the PTGonoNET. MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampicin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; NUT – Nomenclature of Territorial Units for Statistics; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).
DOI: 10.6084/m9.figshare.13182125
title: Supplementary Table S6.2.

description: Associated patient data and antibiotic susceptibility data of all viable Neisseria gonorrhoeae isolates collected in 2019 in Portugal on behalf of the PTGonoNET. MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampicin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; NUT – Nomenclature of Territorial Units for Statistics; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).
DOI: 10.6084/m9.figshare.13182353
title: Supplementary Table S6.3.

description: Composition of genetic clusters enrolling Portuguese isolates. Cluster were identified after applying a conservative threshold of 1.5% allelic differences within each low-level genogroup, after sub-minimum spanning tree generation maximizing the shared loci between isolates at this level. PT Cluster – Cluster composed exclusively of ≥ 3 PT isolates; International Cluster – Cluster composed of ≥ 3 isolates of which ≥ 2 hail from Portugal; International Single PT – Cluster composed of ≥ 3 isolates of which only one is from Portugal; PT Pair – Pair of two isolates collected in Portugal; International Pair – Pair of two isolates with one collected in Portugal and the other from another country.
DOI: 10.6084/m9.figshare.13182353.v1
title: Supplementary Table S6.3.

description: Composition of genetic clusters enrolling Portuguese isolates. Cluster were identified after applying a conservative threshold of 1.5% allelic differences within each low-level genogroup, after sub-minimum spanning tree generation maximizing the shared loci between isolates at this level. PT Cluster – Cluster composed exclusively of ≥ 3 PT isolates; International Cluster – Cluster composed of ≥ 3 isolates of which ≥ 2 hail from Portugal; International Single PT – Cluster composed of ≥ 3 isolates of which only one is from Portugal; PT Pair – Pair of two isolates collected in Portugal; International Pair – Pair of two isolates with one collected in Portugal and the other from another country.
DOI: 10.6084/m9.figshare.13182356.v1
title: Supplementary Table S7.1.

description: Summary of the taxonomic classification of all raw reads for all clinical samples. Results were obtained with Kraken v2 with default parameters, using the pre-built MiniKraken 8Gb database (available at https://ccb.jhu.edu/software/kraken/)
DOI: 10.6084/m9.figshare.13182356
title: Supplementary Table S7.1.

description: Summary of the taxonomic classification of all raw reads for all clinical samples. Results were obtained with Kraken v2 with default parameters, using the pre-built MiniKraken 8Gb database (available at https://ccb.jhu.edu/software/kraken/)
DOI: 10.6084/m9.figshare.13182359
title: Supplementary Table S7.2.

description: Summary of the taxonomic classification of all recovered reads (after mapping) for all clinical samples. Results were obtained with Kraken v2 with default parameters, using the pre-built MiniKraken 8Gb database (available at https://ccb.jhu.edu/software/kraken/)
DOI: 10.6084/m9.figshare.13186835
title: Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm

description: This is the simulation data for the article "Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm"<br>
DOI: 10.6084/m9.figshare.13186835.v1
title: Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm

description: This is the simulation data for the article "Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm"<br>
DOI: 10.6084/m9.figshare.13182359.v1
title: Supplementary Table S7.2.

description: Summary of the taxonomic classification of all recovered reads (after mapping) for all clinical samples. Results were obtained with Kraken v2 with default parameters, using the pre-built MiniKraken 8Gb database (available at https://ccb.jhu.edu/software/kraken/)
DOI: 10.5281/zenodo.4242977
title: Statistical Laws of Protein Motion in Neuronal Dendritic Trees

description: Across their dendritic trees, neurons distribute thousands of protein species that are necessary for maintaining synaptic function and plasticity and that need to be produced continuously and trafficked to their final destination. As each dendritic branchpoint splits the protein flow, increasing branchpoints decreases the total protein number downstream. Consequently, a neuron needs to produce more proteins to maintain a minimal protein number at distal synapses. Combining in vitro experiments and a theoretical framework, we show that proteins that diffuse within the cell plasma membrane are, on average, 35% more effective at reaching downstream locations than proteins that diffuse in the cytoplasm. This advantage emerges from a bias for forward motion at branchpoints when proteins diffuse within the plasma membrane. Using 3D electron microscopy (EM) data, we show that pyramidal branching statistics and the diffusion lengths of common proteins fall into a region that minimizes the overall protein need.
DOI: 10.5281/zenodo.4242976
title: Statistical Laws of Protein Motion in Neuronal Dendritic Trees

description: Across their dendritic trees, neurons distribute thousands of protein species that are necessary for maintaining synaptic function and plasticity and that need to be produced continuously and trafficked to their final destination. As each dendritic branchpoint splits the protein flow, increasing branchpoints decreases the total protein number downstream. Consequently, a neuron needs to produce more proteins to maintain a minimal protein number at distal synapses. Combining in vitro experiments and a theoretical framework, we show that proteins that diffuse within the cell plasma membrane are, on average, 35% more effective at reaching downstream locations than proteins that diffuse in the cytoplasm. This advantage emerges from a bias for forward motion at branchpoints when proteins diffuse within the plasma membrane. Using 3D electron microscopy (EM) data, we show that pyramidal branching statistics and the diffusion lengths of common proteins fall into a region that minimizes the overall protein need.
DOI: 10.5281/zenodo.4243897
title: A Pan-cancer Transcriptome Promoter Expression Dataset

description: The unfiltered promoter measurements for all promoters as seen in:<br> Demircioğlu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. <em>Cell</em>, 178(6) 1465-1477. Generated with: <em>proActiv</em>: estimate promoter activity using RNA-Seq data The proActiv R package is available on https://github.com/GoekeLab/proActiv Gene and promoter annotations used are provided.
description: {"references": ["Demircio\u011flu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.\u00a0Cell, 178(6) 1465-1477."]}
DOI: 10.6084/m9.figshare.13186871
title: Supplementary Material for: Acetylsalicylic Acid Exerts Potent Antitumor and Antiangiogenic Effects in Cutaneous and Uveal Melanoma Cell Lines

description: <b><i>Introduction:</i></b> Acetylsalicylic acid (ASA) has been investigated for a potential anticancer role in several cancers, such as colorectal, ovarian, and endometrial cancer. Moreover, ASA has been shown to abrogate various processes that contribute to tumor growth and progression. <b><i>Objective:</i></b> The aim of this study was to evaluate the effects of ASA on cutaneous melanoma (CM) and uveal melanoma (UM). <b><i>Methods:</i></b> Human CM and UM cells were treated with 5 mM ASA and assessed for changes in cellular functions. Antiangiogenic effects of ASA were determined using an ELISA-based assay for 10 proangiogenic cytokines, and then validated by Western blot. Finally, proteomic analysis of ASA-treated cells was performed to elucidate the changes that may be responsible for ASA-mediated effects in melanoma cells. <b><i>Results:</i></b> Treatment with ASA significantly inhibited the proliferation, invasion, and migration capabilities, and caused a significant decrease in angiogenin and PIGF secretion in both CM and UM. Mass spectrometry revealed 179 protein changes associated with ASA in the CM and UM cell lines. <b><i>Conclusions:</i></b> These results suggest that ASA may be effective as an adjuvant therapy in metastatic CM and UM. Future studies are needed to determine the regulating targets that are responsible for the antitumor effects of ASA.
DOI: 10.6084/m9.figshare.13186880
title: Test System Data Used for EGIES Risk Evaluation Considering Compressor Station Multiple Failure Modes

description: Test System Data Used for EGIES Risk Evaluation Considering Compressor Station Multiple Failure Modes
DOI: 10.20363/zfmk-coll.diptera-2020-11
title: ZFMK Diptera collection
title: The dipteran collection at the Zoological Research Museum Alexander Koenig contains some 300,000 specimens of more than 6000 species.

description: The dipteran collection at the Zoological Research Museum Alexander Koenig contains some 300,000 specimens of more than 6000 species. The majority of specimens are pinned, but also includes of large alcohol collection of Tipulidae s.lat. In addition to 327 primary types (excluding the Phoridae), 32 are represented by syntypes and 295 species represented by secondary types. The holdings include the following important specialist collections: Phoridae (H. Schmitz, E. Beyer, E. Baumann), Tipuloidea (B. Mannheims, H. Mendl), Blephariceridae (B. Mannheims, S. Kitakami), and Sciaridae [F. Lengersdorf - on long term loan to F. Menzel (Deutsches Entomologisches Institut, Müncheberg)]. The collections are focused primarily on the western Palaearctic Region, but important parts of the collections originate also from the Oriental and Arotropical Regions. The collection of the Cologne Zoo is also housed here (permanent loan).
DOI: 10.34740/kaggle/dsv/1617059
title: COVID-19 cases by Continent
DOI: 10.15161/oar.it/73229
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.18452/21572
title: Zertifizierte Forschungsdatenrepositorien in Deutschland

description: Der Datensatz stellt zertifizierte Forschungsdatenrepositorien in Deutschland zusammen. Es handelt sich um einen Auszug aus der Registry of Research Data Repositories (re3data.org). Suchparameter waren Countries "Germany" sowie Certificate "CLARIN certificate B", "CoreTrustSeal", "DINI Certificate", "DSA", "RatSWD", "WDS" und "other". Im Fall "other" wurde die Zertifizierung über die Webseite des jeweiligen Repositoriums nachrecherchiert.
description: The dataset compiles certified research data repositories in Germany. It is an extract from the Registry of Research Data Repositories (re3data.org). Search parameters were Countries "Germany" as well as Certificate "CLARIN certificate B", "CoreTrustSeal", "DINI Certificate", "DSA", "RatSWD", "WDS" and "other". In the case of "other", the certification was verified via the website of the respective repository.
DOI: 10.25345/c53r35
title: MassIVE MSV000086406 - Renal redox proteomic analysis of Memo1-dependent FGF23-driven cell signaling
title: Memo is a copper-dependent redox enzyme modulating receptor tyrosine kinase signaling by unknown mechanisms (Meira et al., Nat Cell Biol 2004; MacDonald et al., Science Signal 2014). Memo1 deletion causes a phenotype partially resembling Klotho and Fgf23-deficient mice (Haenzi et al., FASEB J 2014; Moor et al., JBMR Plus 2018). To delineate potential effects of Memo redox function on FGF23-driven cellular signaling processes, we performed a redox proteomics screen in kidney of whole-body Memo-deficient and control mice treated with recombinant FGF23 or vehicle.
DOI: 10.5522/04/13177073
title: Raw data - Ravagli et al. 2020 - Imaging fascicular organization of rat sciatic nerves with fast neural Electrical Impedance Tomography (EIT)

description: Raw data associated with article "Imaging fascicular organization of rat sciatic nerves with fast neural Electrical Impedance Tomography (EIT)" https://doi.org/10.1101/2020.06.04.133843<br>Data collected with ScouseTom hardware system and recorded with BrainVision Recorder from BrainProducts.<br>Processing code is available at DOI: 10.5281/zenodo.4153151
DOI: 10.5522/04/13177073.v1
title: Raw data - Ravagli et al. 2020 - Imaging fascicular organization of rat sciatic nerves with fast neural Electrical Impedance Tomography (EIT)

description: Raw data associated with article "Imaging fascicular organization of rat sciatic nerves with fast neural Electrical Impedance Tomography (EIT)" https://doi.org/10.1101/2020.06.04.133843<br>Data collected with ScouseTom hardware system and recorded with BrainVision Recorder from BrainProducts.<br>Processing code is available at DOI: 10.5281/zenodo.4153151
DOI: 10.6084/m9.figshare.13186925
title: Institutional threshold in the nexus between financial openness and TFP in Africa: A dynamic panel analysis.

description: This panel dataset was used for the purpose of economic analyses and interpretations in the paper titled "Institutional threshold in the nexus between financial openness and TFP in Africa: A dynamic panel analysis."
DOI: 10.6084/m9.figshare.13186925.v1
title: Institutional threshold in the nexus between financial openness and TFP in Africa: A dynamic panel analysis.

description: This panel dataset was used for the purpose of economic analyses and interpretations in the paper titled "Institutional threshold in the nexus between financial openness and TFP in Africa: A dynamic panel analysis."
DOI: 10.6084/m9.figshare.12174864.v1
title: Atopic dermatitis MendelVar example

description: MendelVar annotation results for sub-significant loci Paternoster et al. (2015) atopic dermatitis GWAS.<br>
DOI: 10.5281/zenodo.4244084
title: Weakly-Supervised Crack Detection Dataset

description: This repo contains two files: crack detection dataset (weakly_sup_crackdet_dataset.zip), and pretrained TensorFlow model for Xception65 (pascal_voc_seg.zip). The dataset consists of rough annotations used in weakly-supervised crack detection. It contains roughly annotated ground truths for the following datasets: Aigle Crack Forest Dataset DeepCrack Annotations of different "roughness" are stored. Directories suffixed "*_dil*" are synthetically-generated annotations, while directories suffixed "*_rough" and "*_rougher" are manually-generated annotations. The detail of the dataset is described in [1]. Please also refer to our GitHub repo https://github.com/hitachi-rd-cv/weakly-sup-crackdet for more details. This dataset is made available by Hitachi, Ltd. The pretrained model is used by [1]. Please use it for comparison experiments. Please refer to our GitHub repor for more details. [1] Inoue, Y., Nagayoshi, H.: Crack detection as a weakly-supervised problem: Towards achieving less annotation-intensive crack detectors. In: International Conference on Pattern Recognition (ICPR) (2020)
DOI: 10.5281/zenodo.4244083
title: Weakly-Supervised Crack Detection Dataset

description: This repo contains two files: crack detection dataset (weakly_sup_crackdet_dataset.zip), and pretrained TensorFlow model for Xception65 (pascal_voc_seg.zip). The dataset consists of rough annotations used in weakly-supervised crack detection. It contains roughly annotated ground truths for the following datasets: Aigle Crack Forest Dataset DeepCrack Annotations of different "roughness" are stored. Directories suffixed "*_dil*" are synthetically-generated annotations, while directories suffixed "*_rough" and "*_rougher" are manually-generated annotations. The detail of the dataset is described in [1]. Please also refer to our GitHub repo https://github.com/hitachi-rd-cv/weakly-sup-crackdet for more details. This dataset is made available by Hitachi, Ltd. The pretrained model is used by [1]. Please use it for comparison experiments. Please refer to our GitHub repor for more details. [1] Inoue, Y., Nagayoshi, H.: Crack detection as a weakly-supervised problem: Towards achieving less annotation-intensive crack detectors. In: International Conference on Pattern Recognition (ICPR) (2020)
DOI: 10.5281/zenodo.4244093
title: Historico_Primitiva

description: Este dataset contiene la información histórica de los resultados de los sorteos de la Primitiva desde 20/06/1991 a 31/10/2020. <strong>Atributos:</strong> Indice: Número secuencial Fecha_larga: Fecha en formato literal Fecha_AAAAMMDD: Fecha en formato AAAAMMDDD B1: Bola 1 B2: Bola 2 B3: Bola 3 B4: Bola 4 B5: Bola 5 B6: Bola 6 C: Complementario R: Reintegro Recaudación: Importe de la recaudación en € Bote: Importe de la recaudación en € ACE: Acertantes de la categoria especial (6 aciertos + R) PCE: Premio de la categoría especial AC1: Acertantes de la categoría 1ª (6 aciertos) PC1: Premio categoría 1ª AC2: Acertantes de la categoría 2ª (5 aciertos + C) PC2: Premio categoría 2ª AC3: Acertantes de la categoría 3ª (5 aciertos) PC3: Premio categoría 3ª AC4: Acertantes de la categoría 4ª (4 aciertos) PC4: Premio categoría 4ª AC5: Acertantes de la categoría 5ª (3 aciertos) PC5: Premio categoría 5ª ACR: Acertantes del Reintegro PCR: Premio Reintegro
description: Este dataset contiene la información historica de los resultados de los sorteos de la Primitiva desde 20/06/1991 a 31/10/2020
DOI: 10.5281/zenodo.4244092
title: Historico_Primitiva

description: Este dataset contiene la información histórica de los resultados de los sorteos de la Primitiva desde 20/06/1991 a 31/10/2020. <strong>Atributos:</strong> Indice: Número secuencial Fecha_larga: Fecha en formato literal Fecha_AAAAMMDD: Fecha en formato AAAAMMDDD B1: Bola 1 B2: Bola 2 B3: Bola 3 B4: Bola 4 B5: Bola 5 B6: Bola 6 C: Complementario R: Reintegro Recaudación: Importe de la recaudación en € Bote: Importe de la recaudación en € ACE: Acertantes de la categoria especial (6 aciertos + R) PCE: Premio de la categoría especial AC1: Acertantes de la categoría 1ª (6 aciertos) PC1: Premio categoría 1ª AC2: Acertantes de la categoría 2ª (5 aciertos + C) PC2: Premio categoría 2ª AC3: Acertantes de la categoría 3ª (5 aciertos) PC3: Premio categoría 3ª AC4: Acertantes de la categoría 4ª (4 aciertos) PC4: Premio categoría 4ª AC5: Acertantes de la categoría 5ª (3 aciertos) PC5: Premio categoría 5ª ACR: Acertantes del Reintegro PCR: Premio Reintegro
description: Este dataset contiene la información historica de los resultados de los sorteos de la Primitiva desde 20/06/1991 a 31/10/2020