cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7672157
title: Wagner Ring Dataset

description: The <strong>Wagner Ring Dataset (WRD)</strong> is a multi-modal and multi-version annotated dataset built on Wagner's tetralogy <em>Der Ring des Nibelungen</em>. The <em>Ring </em>comprises four operas (or music dramas) organized into eleven acts and 21939 measures. Concerning the primary material (<strong>raw data</strong>), the WRD provides score representations in various modalities and 16 recorded performances (three of them publicly available). For all versions (score and audio), we provide comprehensive <strong>annotations </strong>of measure positions, note events, singing voice regions including singers and lyrics as well as scene, key, and time signature regions. The WRD is organized as follows: <strong>01_RawData</strong> score_pdf_IMSLP score_sibelius score_pdf_sibelius score_musicxml score_midi audio_wav <strong>02_Annotations</strong> ann_score_singing ann_score_timesignatures ann_score_keysignatures ann_score_scenes ann_audio_measure ann_audio_note ann_audio_singing ann_audio_timesignatures ann_audio_keysignatures ann_audio_scenes <strong>03_ExtraMaterial</strong> Scripts and tables for merging individual CD tracks, ...
description: This work was supported by the German Research Foundation within the project "Computational Analysis of Harmonic Structures" (DFG MU 2686/7-1 and 7-2, DFG KL 864/4-1 and 4-2). We deeply thank all team members and student assistants involved in the data curation process and the annotation work. To just name a few of the many contributors, we want to mention Lena Krauß, Cäcilia Marxer, Sarah Schweiger, Sascha Kruchten, Felix Wiethaus, and Peter Haaf. The International Audio Laboratories Erlangen are a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg FAU) and Fraunhofer Institute for Integrated Circuits IIS.
DOI: 10.5281/zenodo.7672156
title: Wagner Ring Dataset

description: The <strong>Wagner Ring Dataset (WRD)</strong> is a multi-modal and multi-version annotated dataset built on Wagner's tetralogy <em>Der Ring des Nibelungen</em>. The <em>Ring </em>comprises four operas (or music dramas) organized into eleven acts and 21939 measures. Concerning the primary material (<strong>raw data</strong>), the WRD provides score representations in various modalities and 16 recorded performances (three of them publicly available). For all versions (score and audio), we provide comprehensive <strong>annotations </strong>of measure positions, note events, singing voice regions including singers and lyrics as well as scene, key, and time signature regions. The WRD is organized as follows: <strong>01_RawData</strong> score_pdf_IMSLP score_sibelius score_pdf_sibelius score_musicxml score_midi audio_wav <strong>02_Annotations</strong> ann_score_singing ann_score_timesignatures ann_score_keysignatures ann_score_scenes ann_audio_measure ann_audio_note ann_audio_singing ann_audio_timesignatures ann_audio_keysignatures ann_audio_scenes <strong>03_ExtraMaterial</strong> Scripts and tables for merging individual CD tracks, ...
description: This work was supported by the German Research Foundation within the project "Computational Analysis of Harmonic Structures" (DFG MU 2686/7-1 and 7-2, DFG KL 864/4-1 and 4-2). We deeply thank all team members and student assistants involved in the data curation process and the annotation work. To just name a few of the many contributors, we want to mention Lena Krauß, Cäcilia Marxer, Sarah Schweiger, Sascha Kruchten, Felix Wiethaus, and Peter Haaf. The International Audio Laboratories Erlangen are a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg FAU) and Fraunhofer Institute for Integrated Circuits IIS.
DOI: 10.5281/zenodo.8371053
title: Test datasets for the IWC workflow Assembly-Hifi-only-VGP3

description: Test datasets for the workflow Assembly-Hifi-only-VGP3 Datasets : Hifi reads Meryl database Genomescope profile summary
DOI: 10.5281/zenodo.8371052
title: Test datasets for the IWC workflow Assembly-Hifi-only-VGP3

description: Test datasets for the workflow Assembly-Hifi-only-VGP3 Datasets : Hifi reads Meryl database Genomescope profile summary
DOI: 10.5281/zenodo.8367132
title: Data and codes: Who is calling? Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers

description: Data and codes that accompany the article titled "Who is calling? Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers".
DOI: 10.5281/zenodo.8367131
title: Data and codes: Who is calling? Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers

description: Data and codes that accompany the article titled "Who is calling? Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers".
DOI: 10.5281/zenodo.8371069
title: myiothlypis_chrysogaster_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8371068
title: myiothlypis_chrysogaster_spades_01.fasta.gz

description: .
DOI: 10.6073/pasta/288bdd928b1cc4610af511b42d7bc86d
title: Monthly weather averages for Palmer Station, Antarctica (1974-2023)

description: A long-term timeseries of monthly averaged weather at Palmer Station, Antarctic, was created by combining calculated averages of daily weather from 1989-present with additional historical temperature measurements made between 1974-1989. The selected variables in this dataset include temperature, air pressure, precipitation, sea surface temperature, and wind speed. Monthly averages (means) are made for each calendar month, and dated with the month's start date. Historical monthly average temperatures (through March 1989) are from "Baker, K.S. (1996), Palmer LTER: Palmer Station air temperature 1974 to 1996." Monthly averages from April 1989 onwards are computed from the daily weather averages calculated at Palmer Station and made available by the Antarctic Meteorological Research Center (AMRC) archive at https://amrc.ssec.wisc.edu/usap/palmer/. The daily averages are available in aggregate form as PAL dataset #28 (knb-lter-pal.28.9), from which this dataset was generated.
DOI: 10.6084/m9.figshare.22251223
title: Cellular barcodes in human fibroblasts and human induced pluripotent stem cells extracted from bulk genomic DNA and linked with cellular barcodes extracted from single-cell copy DNA

description: Targeted sequencing of barcodes from genomic DNA harvested from barcoded human fibroblast-like cells (hiF-T cells) and human induced pluripotent stem cells (hiPS cells) derived from hiF-T cells. hiF-T cells were transduced with barcode libraries consisting of semi-random 100-mers in the 3' UTR of GFP and permitted to undergo several cell divisions before being split and seeded for parallel reprogrammings. Both barcoded hiF-T cells and hiPS cells were harvested for isolation of genomic DNA before we performed targeted amplification of the barcode vector for sequencing. See Jain et al. citation for additional details.
DOI: 10.34740/kaggle/dsv/6521128
title: S&P 500 Stock Quotes
DOI: 10.34740/kaggle/dsv/6521133
title: S&P 500 Stock Quotes
DOI: 10.34740/kaggle/dsv/6521157
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.24185505
title: Modelling datasets

description: Modelling dataset for EURUSD and SP500 related models.
DOI: 10.25345/c54b2xg0d
title: MassIVE MSV000092940 - STING induces LUBAC synthesis of linear ubiquitin chains to activate NFkB
title: STING activation by cyclic dinucleotides in mammals induces Type I Interferon- and NFkB-related gene expression, and the lipidation of LC3B at Golgi membranes. While the mechanisms of the Interferon-related responses are well understood, the mechanism of NFkB activation mediated by STING activation, and how the multi-functional responses downstream of STING signaling are related remain unknown. We report that STING activation induces K63 and linear ubiquitin chain formation, and ubiquitin co-localizes with STING and LC3B at Golgi-derived vesicles. Loss of the LUBAC E3 ubiquitin ligase subunit, HOIP, prevents formation of the linear, but not K63-linked, ubiquitin chains. The ubiquitin and LC3B binding proteins, Optineurin and TNIP1, are co-localized with STING activation-induced, perinuclear LC3B foci via their UBAN domains, however loss of HOIP does not influence this localization, indicating they may bind the K63-linked ubiquitin chains. HOIP-mediated linear ubiquitin chains are well established to mediate NFkB downstream of TNFa and IL1beta receptor stimulation. Loss of HOIP in monocytic THP-1 cells inhibits STING-induced NFkB activation and NFkB-related gene transcription, as well as Interferon-related transcription. Further, the recently reported proton channel activity of STING that blocks LC3B lipidation at Golgi membranes is also important for both K63 and Linear ubiquitin chain formation, and NFkB signaling. Thus, STING induces HOIP and linear ubiquitin chain formation to activate NFkB.
DOI: 10.5281/zenodo.8371118
title: gymnopithys_bicolor_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8371117
title: gymnopithys_bicolor_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8371129
title: poliocrania_exsul_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8371128
title: poliocrania_exsul_spades_01.fasta.gz

description: .
DOI: 10.6073/pasta/c36762ccc4d9a23c805004129bfa5c5e
title: Spatial Survey of Water Quality in Lake Arrowhead, TX, USA

description: A rapid spatial survey of surface water was conducted in in Lake Arrowhead, Texas, USA on 2022 Aug 12. A sensor-equipped boat (Whaler Montawk 210) covered 62.3 km in 180 minutes, prioritizing water overlying the main river channel and navigable sections of reservoir arms. The mean boat speed over the entire survey was 21 km/hr, but in deeper water speeds of 30 to 55 km/hr were common. With this method, a pump brings surface lake water through a transom-mounted intake pipe onto the boat deck in a continuous flow-through system that contains a YSI Exo 2 sonde, flow cell, and probes for turbidity, specific conductivity, pH, and water temperature. A Garmin GPS 18X LVC was used to log latitude, longitude, and boat speed. All sensor and GPS data were logged in the field at 1 s intervals.
DOI: 10.57967/hf/1138
title: GPT_synthetic_social_media_data
DOI: 10.5281/zenodo.8371114
title: Using LLM Models and Explainable ML to Analyse Biomarkers at Single Cell Level

description: Single-cell RNA sequencing (scRNA-seq) technology has significantly advanced our understanding of the diversity of cells and how this diversity is implicated in diseases. Yet, translating these findings across various scRNA-seq datasets poses challenges due to technical variability and dataset-specific biases. To overcome this, we present a novel approach that employs both an LLM-based framework and explainable machine learning to facilitate generalization across single-cell datasets and identify gene signatures to capture disease-driven transcriptional changes. Our approach uses scBERT, which harnesses shared transcriptomic features among cell types to establish consistent cell-type annotations across multiple scRNA-seq datasets. Additionally, we employ a symbolic regression algorithm to pinpoint highly relevant yet minimally redundant models and features for inferring a cell type’s disease state based on its transcriptomic profile. We ascertain the versatility of these cell-specific gene signatures across datasets, showcasing their resilience as molecular markers to pinpoint and characterize disease-associated cell types. Validation is carried out using four publicly available scRNA-seq datasets from both healthy individuals and those suffering from ulcerative colitis (UC). This demonstrates our approach’s efficacy in bridging disparities specific to different datasets, fostering comparative analyses. Notably, the simplicity and symbolic nature of the retrieved gene signatures facilitate their interpretability, allowing us to elucidate underlying molecular disease mechanisms using these models.
DOI: 10.5281/zenodo.8371113
title: Using LLM Models and Explainable ML to Analyse Biomarkers at Single Cell Level

description: Single-cell RNA sequencing (scRNA-seq) technology has significantly advanced our understanding of the diversity of cells and how this diversity is implicated in diseases. Yet, translating these findings across various scRNA-seq datasets poses challenges due to technical variability and dataset-specific biases. To overcome this, we present a novel approach that employs both an LLM-based framework and explainable machine learning to facilitate generalization across single-cell datasets and identify gene signatures to capture disease-driven transcriptional changes. Our approach uses scBERT, which harnesses shared transcriptomic features among cell types to establish consistent cell-type annotations across multiple scRNA-seq datasets. Additionally, we employ a symbolic regression algorithm to pinpoint highly relevant yet minimally redundant models and features for inferring a cell type’s disease state based on its transcriptomic profile. We ascertain the versatility of these cell-specific gene signatures across datasets, showcasing their resilience as molecular markers to pinpoint and characterize disease-associated cell types. Validation is carried out using four publicly available scRNA-seq datasets from both healthy individuals and those suffering from ulcerative colitis (UC). This demonstrates our approach’s efficacy in bridging disparities specific to different datasets, fostering comparative analyses. Notably, the simplicity and symbolic nature of the retrieved gene signatures facilitate their interpretability, allowing us to elucidate underlying molecular disease mechanisms using these models.
DOI: 10.5281/zenodo.8371146
title: mionectes_olivaceus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8371145
title: mionectes_olivaceus_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24185583
title: Test data

description: Data for testing from https://springernature.figshare.com/collections/Upper_limb_activity_of_twenty_myoelectric_prosthesis_users_and_twenty_healthy_anatomically_intact_adults_/4457855
DOI: 10.6073/pasta/3eb132bbb2f6c76ca3059c0264001fa8
title: Mangrove Forest Growth from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 1995 - ongoing

description: All mangrove trees having a diameter at breast high (DBH) greater than 2.5 cm were tagged in two 20 x 20 m plot in stations SRS4-6 and TS/Ph-8. Measurements in Plot Num1 began in 1995; measurements in Plot Num 2 began in 2001. Plot Num1 in TS/Ph-8 was established in 2001. DBH has been measured in the period 1995-2021. Mangrove species include Rhizophora mangle, Laguncularia racemosa, Avicennia germinans, Conacarpus erectus.
DOI: 10.5281/zenodo.8371099
title: Swift/BAT-GUANO upper limits fits map for S230920al

description: -
DOI: 10.5281/zenodo.8371098
title: Swift/BAT-GUANO upper limits fits map for S230920al

description: -
DOI: 10.22003/xfel.eu-data-004559-00
title: Single-shot wavefront characterisation of focusing optics by grating interferometry
DOI: 10.22003/xfel.eu-data-005956-00
title: implementation of machine vision feedback system for SFX sample injection
DOI: 10.22003/xfel.eu-data-004504-00
title: Dynamics Before Destruction: Saving the O2 Molecule
DOI: 10.22003/xfel.eu-data-005936-00
title: Ptychography tests
DOI: 10.25345/c50k26n61
title: MassIVE MSV000092941 - Glycosylation pathways of individual and site-specific glycan structures are elucidated by correlating RNAseq with glycomic and glycoproteomic methods in lung cancer cells (N-glycomics)
title: N-glycomic data and results of lung cells obtained using Agilent chip-QToF (Agilent 6520A). Reference: Glycosylation pathways of individual and site-specific glycan structures are elucidated by correlating RNAseq with glycomic and glycoproteomic methods in lung cancer cells.
DOI: 10.15482/usda.adc/1529602
title: Data from: Toll-like receptor ligands enhance vaccine efficacy against virulent Newcastle disease virus challenge in chickens

description: To enhance the efficacy of the current Newcastle disease vaccine, we have tested two potential adjuvants (Imiquimod and ODN-1826) in chickens. Birds were treated with PBS, Imiquimod or ODN-1826 (50 µg/bird) or vaccinated intranasally with live LaSota strain with or without Imiquimod or ODN-1826 (50 µg/bird). Two weeks after vaccination, birds were challenged with virulent New-castle disease virus (chicken/CA/212676/2002). The experimental setting was a laboratory with animal care as approved by the institutional animal care and use committee as appropriate for the species and age of bird. Data are the serum antibody titers to the vaccine or challenge virus as determined by hemagglutination inhibition assay. Virus shedding titers by the oral and cloacal route for individual birds exposed to virulent Newcastle disease virus were determined by quantitative real-time RT-PCR. Expression of antiviral genes from tissues collected at 1 and 3 days after treating 2 week old SPF chickens with adjuvant and/or vaccines were determined by quantitative PCR.
Resources in this dataset:


Hemagglutination inhibition (HI) antibody titers 14 days after vaccinating 2-week-old SPF chickens with LaSota vaccine with or without adjuvant (ODN-1826 or Imiquimod)
File Name: Lee et al., Serology Data I from Adjuvanted live NDV vaccine study.csv


Hemagglutination inhibition antibody titers 14 days after infecting 4 week old SPF chickens with virulent Newcastle disease virus (California/212676/2002)
File Name: Lee et al., Serology Data II from Adjuvanted live NDV vaccine study.csv


Cycle threshold (Ct) value of viral RNA from swabs collected at 2 and 4 days after infecting 4-week-old SPF chickens with virulent Newcastle disease virus (California/212676/2002)
File Name: Lee et al.,Virus Shedding Data from Adjuvanted live NDV vaccine study.csv


Cycle threshold (Ct) value of target specific mRNA collected at 1 and 3 days after treating 2-week-old SPF chickens with adjuvant and/or vaccines
File Name: Lee et al.,Transcription Data from Adjuvanted live NDV vaccine study.csv
DOI: 10.5281/zenodo.8370571
title: QUMPHY MIMIC IV Waveform Database PPG formatted

description: Derivative of the MIMIC IV Waveform Database formatted to be suitable for machine learning. <strong>Formatting</strong> All records are split into intervals of roughly 60 seconds. The parameter values are averaged over each 60 second interval. The PPG signal data are unprocessed, i.e. as in the original dataset. Intervals with PPG signals containing missing data or large constant data are excluded. PPG signals and signal times are truncated to have the same amount of data points for all records. Formatted data are split into 3 different file types, namely <code>*_n.csv</code> containing the averaged parameter values, <code>*_s.npy</code> containing PPG signal data and <code>*_t.npy</code> containing the respective signal measurement times. Moreover, formatted data are split into <code>trainXX_*</code>, <code>validation_*</code> and <code>test_*</code> data files, where the training data <code>trainXX_*</code> are split into multiple files for easier handling. This dataset was created using the following code: https://gitlab.com/qumphy/wp1-benchmark-data-conversion <strong>Funding</strong> The creation of this dataset has been supported by the European Partnership on Metrology programme 22HLT01 QUMPHY. This project (22HTL01 QUMPHY) has received funding from the EMPIR programme cofinanced by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.8370570
title: QUMPHY MIMIC IV Waveform Database PPG formatted

description: Derivative of the MIMIC IV Waveform Database formatted to be suitable for machine learning. <strong>Formatting</strong> All records are split into intervals of roughly 60 seconds. The parameter values are averaged over each 60 second interval. The PPG signal data are unprocessed, i.e. as in the original dataset. Intervals with PPG signals containing missing data or large constant data are excluded. PPG signals and signal times are truncated to have the same amount of data points for all records. Formatted data are split into 3 different file types, namely <code>*_n.csv</code> containing the averaged parameter values, <code>*_s.npy</code> containing PPG signal data and <code>*_t.npy</code> containing the respective signal measurement times. Moreover, formatted data are split into <code>trainXX_*</code>, <code>validation_*</code> and <code>test_*</code> data files, where the training data <code>trainXX_*</code> are split into multiple files for easier handling. This dataset was created using the following code: https://gitlab.com/qumphy/wp1-benchmark-data-conversion <strong>Funding</strong> The creation of this dataset has been supported by the European Partnership on Metrology programme 22HLT01 QUMPHY. This project (22HTL01 QUMPHY) has received funding from the EMPIR programme cofinanced by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.8371181
title: Data for "Millennial modulation of Atlantic Multidecadal Variability in a climate model"

description: Processed data and Jupyter notebooks for manuscript "Millennial modulation of Atlantic Multidecadal Variability in a climate model" by Joakim Kjellsson and Wonsun Park
DOI: 10.3886/e193982v1
title: Social capital, gender-based resilience to shocks and well-being among urban and rural households in Togo

description: This study investigates the impact of social capital on household resilience and well-being in Togo in the face of unpredictable shocks. To this end, this study draws on primary data from an Integrated Regional Survey on Employment and the Informal Economy conducted in 2017 by the National Institute of Statistics and Economic and Demographic Studies in Togo. The analysis methods used included propensity score models, endogenous switching regressions, and smoothed instrumental variables quantile regressions. The results reveal that access to social capital has a positive and significant impact on household well-being by increasing resilience to shocks. This effect varies according to sex and place of residence. Social capital significantly enhances the resilience of men in rural areas but not in women. Conversely, it strengthens the well-being of women in urban settings and of men in rural areas. The findings underscore the need for authorities to adopt an integrated policy approach that merges income support, public services, civic engagement incentives, and community networks.<br>
DOI: 10.34943/d8e81653-ffd2-4b2e-b264-a80ee910bbbc
title: Cambridge Bay Hydrophone Deployed 2022-09-12

description: The Ocean Sonics icListen HF Hydrophone 1561 was deployed on 2022-09-12 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.