cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5141860
title: Digital Ecosystem Service Classification

description: Application of digital ecosystem criteria on digital ecosystem service candidates, to classify these candidates as digital ecosystem services or non digital ecosystem services. Note: In case one criterium for a digital ecosystem service candidate is not fulfilled, the remaining ones have not been checked, indicated through "n/a".
description: Semicolon-delimited CSV file with UTF-8 encoding
DOI: 10.5281/zenodo.5141859
title: Digital Ecosystem Service Classification

description: Application of digital ecosystem criteria on digital ecosystem service candidates, to classify these candidates as digital ecosystem services or non digital ecosystem services. Note: In case one criterium for a digital ecosystem service candidate is not fulfilled, the remaining ones have not been checked, indicated through "n/a".
description: Semicolon-delimited CSV file with UTF-8 encoding
DOI: 10.5281/zenodo.5142622
title: MetaMIDI Dataset

description: We introduce the MetaMIDI Dataset (MMD) a large scale collection of 436,631 MIDI files and metadata. MMD contains artist and title metadata for 221,504 MIDI files, and genre metadata for 143,868 MIDI files, collected during the web-scraping process. MIDI files in MMD were matched against a collection of 32,000,000 30-second audio clips retrieved from Spotify, resulting in over 10,796,557 audio-MIDI matches. In addition, we linked 600,142 Spotify tracks with 1,094,901 MusicBrainz recordings to produce a set of 168,032 MIDI files that are matched to the MusicBrainz database. We also provide a set of 53,496 MIDI files using audio-MIDI matches where the derived metadata on Spotify is a fuzzy match to the web-scraped metadata. These links augment many files in the dataset with the extensive metadata available via the Spotify API and the MusicBrainz database. We anticipate that this collection of data will be of great use to MIR researchers addressing a variety of research topics.
DOI: 10.6084/m9.figshare.15067884.v1
title: Betaherpesvirus sequencing and qPCR on Peruvian vampire bat saliva samples.xlsx

description: Rabies virus is a zoonosis of concern, transmitted by the common vampire bat Desmodus rotundus, across Latin America. A herpesvirus of these bats, Desmodus rotundus betaherpesvirus (DrBHV) shows promise as a candidate for further study as a transmissible vaccine viral vector against vampire bat transmitted rabies virus. In this study, the authors use deep sequencing to investigate the circulating strains of DrBHV and aimed to answer several unresolved questions which underpin the biological suitability of DrBHV as a viral vector, how it could be deployed to natural populations, and the extent that vaccine spread would be predictable: (1) Do individual DrBHV strains reach sufficient prevalence and geographic range to plausibly dampen rabies transmission and is the geographic distribution of strains predictable?; (2) Are determinants of strain specific prevalence consistent with weak competition among strains? and (3) Do patterns of viral acquisition and viral genetic diversity within individual bats support superinfection and the of latency and reactivation dynamics expected for betaherpesviruses? The data set includes the sampling information of Peruvian vampire bat saliva samples, sequenced for the presence and strain identification of Desmodus rotundus betaherpesvirus.<br><br> <br>Ethical approval: All capture and sampling of bats was approved by the Research Ethics Committee of the University of Glasgow School of Medical, Veterinary and Life Sciences (Ref081/15) and by the University of Georgia Animal Care and Use Committee (A2014 04-016-Y3-A5). Field collections were authorized by the Peruvian government (RD‐009‐2015‐SERFOR‐DGGSPFFS, RD‐264‐2015 SERFOR‐DGGSPFFS, RD‐142‐2015‐ SERFOR‐DGGSPFFS, RD‐054‐2016‐SERFOR‐DGGSPFFS).<br><br> <br>Vampire bats were captured between 2013 and 2018 at 23 colonies across 8 administrative regions (Amazonas, Apurímac, Ayacucho, Cajamarca, Cusco, Huánuco, Lima, and Loreto) of Peru. Bats were captured using mist nets and harp traps, then placed in individual cloth bags before processing and sampling. Bats were aged as juvenile, sub-adult or adult by observation of the epiphyseal–diaphyseal fusion; sex and reproductive status were also recorded. Saliva swab samples were collected by allowing bats to chew on sterile cotton‐tipped wooden swabs (Fisherbrand) for 10s.<br><br><br><br>
DOI: 10.6084/m9.figshare.15067884
title: Betaherpesvirus sequencing and qPCR on Peruvian vampire bat saliva samples.xlsx

description: Rabies virus is a zoonosis of concern, transmitted by the common vampire bat Desmodus rotundus, across Latin America. A herpesvirus of these bats, Desmodus rotundus betaherpesvirus (DrBHV) shows promise as a candidate for further study as a transmissible vaccine viral vector against vampire bat transmitted rabies virus. In this study, the authors use deep sequencing to investigate the circulating strains of DrBHV and aimed to answer several unresolved questions which underpin the biological suitability of DrBHV as a viral vector, how it could be deployed to natural populations, and the extent that vaccine spread would be predictable: (1) Do individual DrBHV strains reach sufficient prevalence and geographic range to plausibly dampen rabies transmission and is the geographic distribution of strains predictable?; (2) Are determinants of strain specific prevalence consistent with weak competition among strains? and (3) Do patterns of viral acquisition and viral genetic diversity within individual bats support superinfection and the of latency and reactivation dynamics expected for betaherpesviruses? The data set includes the sampling information of Peruvian vampire bat saliva samples, sequenced for the presence and strain identification of Desmodus rotundus betaherpesvirus.<br><br> <br>Ethical approval: All capture and sampling of bats was approved by the Research Ethics Committee of the University of Glasgow School of Medical, Veterinary and Life Sciences (Ref081/15) and by the University of Georgia Animal Care and Use Committee (A2014 04-016-Y3-A5). Field collections were authorized by the Peruvian government (RD‐009‐2015‐SERFOR‐DGGSPFFS, RD‐264‐2015 SERFOR‐DGGSPFFS, RD‐142‐2015‐ SERFOR‐DGGSPFFS, RD‐054‐2016‐SERFOR‐DGGSPFFS).<br><br> <br>Vampire bats were captured between 2013 and 2018 at 23 colonies across 8 administrative regions (Amazonas, Apurímac, Ayacucho, Cajamarca, Cusco, Huánuco, Lima, and Loreto) of Peru. Bats were captured using mist nets and harp traps, then placed in individual cloth bags before processing and sampling. Bats were aged as juvenile, sub-adult or adult by observation of the epiphyseal–diaphyseal fusion; sex and reproductive status were also recorded. Saliva swab samples were collected by allowing bats to chew on sterile cotton‐tipped wooden swabs (Fisherbrand) for 10s.<br><br><br><br>
DOI: 10.5517/ccdc.csd.cc241xfk
title: CCDC 1968048: Experimental Crystal Structure Determination

description: Related Article: Sehye Min, Jonghoon Choi, Changho Yoo, Peter M. Graham, Yunho Lee|2021|Chemical Science|12|9983|doi:10.1039/D1SC02210E
DOI: 10.5517/ccdc.csd.cc241xjn
title: CCDC 1968051: Experimental Crystal Structure Determination

description: Related Article: Sehye Min, Jonghoon Choi, Changho Yoo, Peter M. Graham, Yunho Lee|2021|Chemical Science|12|9983|doi:10.1039/D1SC02210E
DOI: 10.5517/ccdc.csd.cc241xns
title: CCDC 1968055: Experimental Crystal Structure Determination

description: Related Article: Sehye Min, Jonghoon Choi, Changho Yoo, Peter M. Graham, Yunho Lee|2021|Chemical Science|12|9983|doi:10.1039/D1SC02210E
DOI: 10.5517/ccdc.csd.cc252l2y
title: CCDC 1998479: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Zhao-Bo Hu, Chao Chen, Huapeng Ruan, Yong Fang, Li Zhang, Yue Zhao, Gengwen Tan, You Song, Xinping Wang|2021|Chemical Science|12|9998|doi:10.1039/D1SC01932E
DOI: 10.5517/ccdc.csd.cc252l3z
title: CCDC 1998480: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Zhao-Bo Hu, Chao Chen, Huapeng Ruan, Yong Fang, Li Zhang, Yue Zhao, Gengwen Tan, You Song, Xinping Wang|2021|Chemical Science|12|9998|doi:10.1039/D1SC01932E
DOI: 10.5517/ccdc.csd.cc252l40
title: CCDC 1998481: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Zhao-Bo Hu, Chao Chen, Huapeng Ruan, Yong Fang, Li Zhang, Yue Zhao, Gengwen Tan, You Song, Xinping Wang|2021|Chemical Science|12|9998|doi:10.1039/D1SC01932E
DOI: 10.5517/ccdc.csd.cc252l51
title: CCDC 1998482: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Zhao-Bo Hu, Chao Chen, Huapeng Ruan, Yong Fang, Li Zhang, Yue Zhao, Gengwen Tan, You Song, Xinping Wang|2021|Chemical Science|12|9998|doi:10.1039/D1SC01932E
DOI: 10.5517/ccdc.csd.cc25zsrq
title: CCDC 2025594: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc25zslk
title: CCDC 2025589: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc25zsdc
title: CCDC 2025583: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc25zsgf
title: CCDC 2025585: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc26krvd
title: CCDC 2042864: Experimental Crystal Structure Determination

description: Related Article: Xia Zhong, Jiuqi Tan, Jianglin Qiao, Yuqiao Zhou, Cidan Lv, Zhishan Su, Shunxi Dong, Xiaoming Feng|2021|Chemical Science|12|9991|doi:10.1039/D1SC02681J
DOI: 10.5517/ccdc.csd.cc26ttvq
title: CCDC 2050614: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc26ttyt
title: CCDC 2050617: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc26ttzv
title: CCDC 2050618: Experimental Crystal Structure Determination

description: Related Article: Paolo Della Sala, Rocco Del Regno, Luca Di Marino, Carmela Calabrese, Carmine Palo, Carmen Talotta, Silvano Geremia, Neal Hickey, Amedeo Capobianco, Placido Neri, Carmine Gaeta|2021|Chemical Science|12|9952|doi:10.1039/D1SC02199K
DOI: 10.5517/ccdc.csd.cc26wjqc
title: CCDC 2052253: Experimental Crystal Structure Determination

description: Related Article: Xia Zhong, Jiuqi Tan, Jianglin Qiao, Yuqiao Zhou, Cidan Lv, Zhishan Su, Shunxi Dong, Xiaoming Feng|2021|Chemical Science|12|9991|doi:10.1039/D1SC02681J
DOI: 10.5517/ccdc.csd.cc270vpt
title: CCDC 2056406: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang, Chanchan Ma, Julia Struwe, Jian Feng, Gangguo Zhu, Lutz Ackermann|2021|Chemical Science|12|10092|doi:10.1039/D1SC02682H
DOI: 10.5517/ccdc.csd.cc273g1w
title: CCDC 2058897: Experimental Crystal Structure Determination

description: Related Article: Ryuki Sumida, Yuya Tanaka, Keita Niki, Yoshihisa Sei, Shinji Toyota, Michito Yoshizawa|2021|Chemical Science|12|9946|doi:10.1039/D1SC01987B
DOI: 10.5281/zenodo.5136556
title: Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-"

description: Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-". This includes: raw data for calorimetry, SXRPD,LXRPD,NMR and PSD.
description: Financial support from research grants, PID2019-104378RJ-I00 from the Spanish government and P18-RT-720 from the Andalusian regional government, are gratefully acknowledged. We thank CELLS-ALBA (Barcelona, Spain) for providing synchrotron beamtime at BL04-MSPD and Dr. Oriol Vallcorba for his assistance during the experiment.
DOI: 10.5281/zenodo.5136555
title: Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-"

description: Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-". This includes: raw data for calorimetry, SXRPD,LXRPD,NMR and PSD.
description: Financial support from research grants, PID2019-104378RJ-I00 from the Spanish government and P18-RT-720 from the Andalusian regional government, are gratefully acknowledged. We thank CELLS-ALBA (Barcelona, Spain) for providing synchrotron beamtime at BL04-MSPD and Dr. Oriol Vallcorba for his assistance during the experiment.
DOI: 10.18112/openneuro.ds000240.v1.0.0
title: Resting State Perfusion in Healthy Aging
DOI: 10.25387/g3.14445140
title: Supplemental Material for Kim et al., 2021

description: Supplementary Material: Figure S1 - S6 and Table S1 - S10.File S1: Number and distributions of 91-bp and 92-bp satellite repeats on chromosomes and unanchored contigs extracted using the Tandem Repeat Finder in the Hwangkeum assembly.File S2: List of SNPs and indels identified by comparison between corresponding chromosome sequences of the Hwangkeum (query, Q) and Williams 82 (reference, REF) assemblies.File S3: List of structural variants (insertions and deletions), inversions, and translocation identified by comparison between corresponding chromosome sequences of the Hwangkeum (query, Q) and Williams 82 (reference, REF) assemblies.File S4: Number and distributions of 90-bp, 91-bp, and 92-bp satellite repeats on chromosomes and unanchored contigs extracted using the Tandem Repeat Finder in the <i>Glycine latifolia</i> genome assembly.File S5: List of 79,870 transcripts annotated in the Hwangkeum assembly.File S6: List of 503 nucleotide-binding and leucine-rich-repeat (NLR) genes annotated using TGFam-Finder in the Hwangkeum assembly.
DOI: 10.25387/g3.14445140.v1
title: Supplemental Material for Kim et al., 2021

description: Supplementary Material: Figure S1 - S6 and Table S1 - S10.File S1: Number and distributions of 91-bp and 92-bp satellite repeats on chromosomes and unanchored contigs extracted using the Tandem Repeat Finder in the Hwangkeum assembly.File S2: List of SNPs and indels identified by comparison between corresponding chromosome sequences of the Hwangkeum (query, Q) and Williams 82 (reference, REF) assemblies.File S3: List of structural variants (insertions and deletions), inversions, and translocation identified by comparison between corresponding chromosome sequences of the Hwangkeum (query, Q) and Williams 82 (reference, REF) assemblies.File S4: Number and distributions of 90-bp, 91-bp, and 92-bp satellite repeats on chromosomes and unanchored contigs extracted using the Tandem Repeat Finder in the <i>Glycine latifolia</i> genome assembly.File S5: List of 79,870 transcripts annotated in the Hwangkeum assembly.File S6: List of 503 nucleotide-binding and leucine-rich-repeat (NLR) genes annotated using TGFam-Finder in the Hwangkeum assembly.
DOI: 10.25345/c5vk04
title: MassIVE MSV000087899 - Residue Analysis Ceramics Run 2 (positive) With Exclusion List
title: Dataset contains LC-MS/MS data from archaeological ceramics, focused on residues. Two sample types: fragmentation sections (fragments were pulverized into a powder) or below surface (ceramic surface was burred off using a dremel). Data were obtained in positive mode WITH an exclusion list containing features from blanks.
DOI: 10.6069/scg8-d680
title: DDR2 pharmacodynamic profiling

description: The ATM serine/threonine kinase (HGNC: ATM) is involved in initiation of repair of DNA double-stranded breaks, and ATM inhibitors are currently being tested as anti-cancer agents in clinical trials, where pharmacodynamic (PD) assays are crucial to help guide dose and scheduling and support mechanism of action studies. To identify and quantify PD biomarkers of ATM inhibition, we developed and analytically validated a 51-plex assay (DDR-2) quantifying protein expression and DNA damage-responsive phosphorylation. The median lower limit of quantification was 1.28 fmol, the linear range was over 3 orders of magnitude, the median inter-assay variability was 11% CV, and 86% of peptides were stable for storage prior to analysis. Use of the assay was demonstrated to quantify signaling following ionizing radiation-induced DNA damage in both immortalized lymphoblast cell lines and primary human peripheral blood mononuclear cells, identifying PD biomarkers for ATM inhibition to support preclinical and clinical studies.
DOI: 10.25345/c5qv6x
title: MassIVE MSV000087900 - Residue Analysis Ceramics Run 2 (negative) With Exclusion List
title: Dataset contains LC-MS/MS data from archaeological ceramics, focused on residues. Two sample types: fragmentation sections (fragments were pulverized into a powder) or below surface (ceramic surface was burred off using a dremel). Data were obtained in negative mode WITH an exclusion list containing features from blanks.
DOI: 10.18739/a2cr5nd09
title: Radiosonde temperature and humidity profiles taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains profiles of temperature and humidity observed by Vaisala radiosondes that are launched nominally twice daily at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. These radiosonde measurements did not initially contain wind tracking information, but transitioned towards including wind tracking in one sonde per data starting in 7/2011, then moving to twice-daily wind sondes in 6/2014. The data are processed using the standard Vaisala processing software.
DOI: 10.18739/a2s17st12
title: Ceilometer cloud base height measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements from a Vaisala ceilometer that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This ceilometer points near-vertically and provides estimates of cloud base height (for up to three layers) and the total visibility, based on Vaisala's proprietary algorithm. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The ceilometer is owned by the Department of Energy Atmospheric Radiation Measurement Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.7298/mkbw-kf79
title: ISS Microgravity Experiments: Raw Data from NASA
DOI: 10.18739/a2m61br06
title: Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements of reflectivity and derived estimates of snowfall rate made by a Precipitation Occurrence Sensor System (POSS) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. The POSS makes measurements in an approximately one cubic meter volume just above the sensor and is designed to quantify the amount of precipitation reaching the surface. Data files contain timeseries of the observed radar reflectivity and other supporting radar measureables as well as the derived snowfall rate in mm/hr. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The POSS is operated by Matthew Shupe at the University of Colorado and is on loan from Environment Canada. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2804xk5c
title: Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland - Arctic Observing Network program

description: This data set contains measurements of reflectivity and derived estimates of snowfall rate made by a Precipitation Occurrence Sensor System (POSS) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. The POSS makes measurements in an approximately one cubic meter volume just above the sensor and is designed to quantify the amount of precipitation reaching the surface. Data files contain timeseries of the observed radar reflectivity and other supporting radar measureables as well as the derived snowfall rate in mm/hr. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The POSS is operated by Matthew Shupe at the University of Colorado and is on loan from Environment Canada. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5281/zenodo.5132956
title: SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing

description: Data sharing restrictions are common in NLP datasets. For example, Twitter policies do not allow sharing of tweet text, though tweet IDs may be shared. The situation is even more common in clinical NLP, where patient health information must be protected, and annotations over health text, when released at all, often require the signing of complex data use agreements. The SemEval-2021 Task 10 framework asks participants to develop semantic annotation systems in the face of data sharing constraints. A participant's goal is to develop an accurate system for a target domain when annotations exist for a related domain but cannot be distributed. Instead of annotated training data, participants are given a model trained on the annotations. Then, given unlabeled target domain data, they are asked to make predictions. Website: https://machine-learning-for-medical-language.github.io/source-free-domain-adaptation/ CodaLab site: https://competitions.codalab.org/competitions/26152 Github repository: https://github.com/Machine-Learning-for-Medical-Language/source-free-domain-adaptation