cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dvn9yg52sb.1
title: Data for: The Economics of Grid-Scale Electricity Storage: Location Heterogeneity and Business Models

description: Hourly data of electricity demand and (nodal) prices in Ontario, provided openly by IESO, the Independent Electricity System Operator of the province. This is unprocessed raw data used in my study.
DOI: 10.5281/zenodo.5021636
title: Myiopsitta monachus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5021635
title: Myiopsitta monachus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5021678
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.5021760
title: Papilio aristodemus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5021759
title: Papilio aristodemus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.14832687
title: Data for Separating emitted dust from the total suspension in airflow—by studying the characteristics of PM10 vertical concentration profiles on a Gobi Desert surface

description: This is the original data for the paper "Separating emitted dust from the total suspension in airflow—by studying the characteristics of PM10 vertical concentration profiles on a Gobi Desert surface"
DOI: 10.6084/m9.figshare.14832687.v1
title: Data for Separating emitted dust from the total suspension in airflow—by studying the characteristics of PM10 vertical concentration profiles on a Gobi Desert surface

description: This is the original data for the paper "Separating emitted dust from the total suspension in airflow—by studying the characteristics of PM10 vertical concentration profiles on a Gobi Desert surface"
DOI: 10.5517/ccdc.csd.cc27p3gj
title: CCDC 2075867: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3hk
title: CCDC 2075868: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3jl
title: CCDC 2075869: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3km
title: CCDC 2075870: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3ln
title: CCDC 2075871: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3mp
title: CCDC 2075872: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3pr
title: CCDC 2075874: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3qs
title: CCDC 2075875: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3rt
title: CCDC 2075876: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc27p3sv
title: CCDC 2075877: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc273c6y
title: CCDC 2058809: Experimental Crystal Structure Determination

description: Related Article: Isabel Guerrero, Clara Viñas, Xavier Fontrodona, Isabel Romero, Francesc Teixidor|2021|Inorg.Chem.|60|8898|doi:10.1021/acs.inorgchem.1c00751
DOI: 10.5517/ccdc.csd.cc27rfyd
title: CCDC 2078114: Experimental Crystal Structure Determination

description: Related Article: Smriti Dewangan, Tulasi Barik, Biplob Halder, Abtar Mishra, Rohan Dhiman, Takahiro Sasamori, Saurav Chatterjee|2021|J.Organomet.Chem.|948|121922|doi:10.1016/j.jorganchem.2021.121922
DOI: 10.5517/ccdc.csd.cc271xt1
title: CCDC 2057433: Experimental Crystal Structure Determination

description: Related Article: Samreet Khirid, Dilip Kumar Jangid, Rathindranath Biswas, Sangeeta Meena, Subash C. Sahoo, Ved Prakash Verma, Chandan Nandi, Krishna Kanta Haldar, Rajendra S. Dhayal|2021|J.Organomet.Chem.|948|121923|doi:10.1016/j.jorganchem.2021.121923
DOI: 10.5517/ccdc.csd.cc271xx4
title: CCDC 2057436: Experimental Crystal Structure Determination

description: Related Article: Samreet Khirid, Dilip Kumar Jangid, Rathindranath Biswas, Sangeeta Meena, Subash C. Sahoo, Ved Prakash Verma, Chandan Nandi, Krishna Kanta Haldar, Rajendra S. Dhayal|2021|J.Organomet.Chem.|948|121923|doi:10.1016/j.jorganchem.2021.121923
DOI: 10.5517/ccdc.csd.cc27p3nq
title: CCDC 2075873: Experimental Crystal Structure Determination

description: Related Article: Lars Hirneise, Jan Langmann, Georg Zitzer, Lukas Ude, Cäcilia Maichle-Mössmer, Wolfgang Scherer, Bernd Speiser, Reiner Anwander|2021|Organometallics|40|1786|doi:10.1021/acs.organomet.1c00276
DOI: 10.5517/ccdc.csd.cc23xbr4
title: CCDC 1963656: Experimental Crystal Structure Determination

description: Related Article: Zhifen Guo, Xin Liu, Rong Bai, Yan Che, Yanhong Chi, Chunyi Guo, Hongzhu Xing|2021|Inorg.Chem.|60|8672|doi:10.1021/acs.inorgchem.1c00642
DOI: 10.5517/ccdc.csd.cc23xbs5
title: CCDC 1963657: Experimental Crystal Structure Determination

description: Related Article: Zhifen Guo, Xin Liu, Rong Bai, Yan Che, Yanhong Chi, Chunyi Guo, Hongzhu Xing|2021|Inorg.Chem.|60|8672|doi:10.1021/acs.inorgchem.1c00642
DOI: 10.5517/ccdc.csd.cc23xbt6
title: CCDC 1963658: Experimental Crystal Structure Determination

description: Related Article: Zhifen Guo, Xin Liu, Rong Bai, Yan Che, Yanhong Chi, Chunyi Guo, Hongzhu Xing|2021|Inorg.Chem.|60|8672|doi:10.1021/acs.inorgchem.1c00642
DOI: 10.5281/zenodo.5021824
title: Global Biotic Interactions: Taxon Graph Patches

description: Global Biotic Interactions: Taxon Graph Patch 20210623-01 2021-06-23 Abstract / Introduction In https://github.com/globalbioticinteractions/globalbioticinteractions/issues/672, Github user @pozsgaig (https://github.com/pozsgaig) shared some suspicious pathogen interaction in which a moth appeared to be a pathogen of another moth (e.g., Plutella xylostella pathogen of Spodoptera ornithogalli). Likely root cause is invalid name mapping. Methods A script "create_patch.sh" was constructed to remove name mappings involving likely virus name acronyms. The names are detected by including all names ending with capital V, except for those with explicit NCBI taxon ids. Example includes: "Plutella xylostella NPV", a name likely referring to "Plutella xylostella multiple nucleopolyhedrovirus", NCBI:txid379891, https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=379891. This virus name appears to have been incorrectly mapped to "Plutella xylostella", a moth and the related host that the virus is known to infect. To apply the patch, run the "patch" program against the original<br> taxonMap file with the .patch files on any linux-y system. Patch files taxonMap.tsv.patch.gz was<br> created using: create_patch.sh in period 2021-06-23 . Result/Discussion The resulting patch removed likely suspicious virus name mappings in GloBI Taxon Graph v0.3.32 [1] . References [1] Poelen, Jorrit H. (2021). Global Biotic Interactions: Taxon Graph<br> (Version 0.3.32) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4753955
DOI: 10.5281/zenodo.1495265
title: Global Biotic Interactions: Taxon Graph Patches

description: Global Biotic Interactions: Taxon Graph Patch 20210623-01 2021-06-23 Abstract / Introduction In https://github.com/globalbioticinteractions/globalbioticinteractions/issues/672, Github user @pozsgaig (https://github.com/pozsgaig) shared some suspicious pathogen interaction in which a moth appeared to be a pathogen of another moth (e.g., Plutella xylostella pathogen of Spodoptera ornithogalli). Likely root cause is invalid name mapping. Methods A script "create_patch.sh" was constructed to remove name mappings involving likely virus name acronyms. The names are detected by including all names ending with capital V, except for those with explicit NCBI taxon ids. Example includes: "Plutella xylostella NPV", a name likely referring to "Plutella xylostella multiple nucleopolyhedrovirus", NCBI:txid379891, https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=379891. This virus name appears to have been incorrectly mapped to "Plutella xylostella", a moth and the related host that the virus is known to infect. To apply the patch, run the "patch" program against the original<br> taxonMap file with the .patch files on any linux-y system. Patch files taxonMap.tsv.patch.gz was<br> created using: create_patch.sh in period 2021-06-23 . Result/Discussion The resulting patch removed likely suspicious virus name mappings in GloBI Taxon Graph v0.3.32 [1] . References [1] Poelen, Jorrit H. (2021). Global Biotic Interactions: Taxon Graph<br> (Version 0.3.32) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4753955
DOI: 10.6084/m9.figshare.14524371
title: Data set: Demographic effects of severe fire in montane shrubland on Tasmania’s Central Plateau

description: Australian montane sclerophyll shrubland vegetation is widely considered to be resilient to infrequent severe fire, but this may not be the case in Tasmania. Here, we report on the vegetative and seedling regeneration response of a Tasmanian non-coniferous woody montane shrubland following a severe fire, which burned much of the Great Pine Tier in the Central Plateau Conservation Area during the 2018–19 fire season when a historically anomalously large area was burned in central Tasmania. Our field survey of a representative area burned by severe crown fire revealed that more than 99% of the shrubland plants were top-killed, with only 5% of the burnt plants resprouting one year following the fire. Such a low resprouting rate means the resilience of the shrubland depends on seedling regeneration from aerial and soil seedbanks or colonization from plants outside the burned area. Woody species’ seedling densities were variable but generally low (25 m−2 ). The low number of resprouters, and reliance on seedlings for recovery, suggest the shrubland may not be as resilient to fire as mainland Australian montane shrubland, particularly given a warming climate and likely increase in fire frequency. p { margin-bottom: 0.1in; line-height: 115%; background: transparent }
DOI: 10.6084/m9.figshare.14524371.v1
title: Data set: Demographic effects of severe fire in montane shrubland on Tasmania’s Central Plateau

description: Australian montane sclerophyll shrubland vegetation is widely considered to be resilient to infrequent severe fire, but this may not be the case in Tasmania. Here, we report on the vegetative and seedling regeneration response of a Tasmanian non-coniferous woody montane shrubland following a severe fire, which burned much of the Great Pine Tier in the Central Plateau Conservation Area during the 2018–19 fire season when a historically anomalously large area was burned in central Tasmania. Our field survey of a representative area burned by severe crown fire revealed that more than 99% of the shrubland plants were top-killed, with only 5% of the burnt plants resprouting one year following the fire. Such a low resprouting rate means the resilience of the shrubland depends on seedling regeneration from aerial and soil seedbanks or colonization from plants outside the burned area. Woody species’ seedling densities were variable but generally low (25 m−2 ). The low number of resprouters, and reliance on seedlings for recovery, suggest the shrubland may not be as resilient to fire as mainland Australian montane shrubland, particularly given a warming climate and likely increase in fire frequency. p { margin-bottom: 0.1in; line-height: 115%; background: transparent }
DOI: 10.34740/kaggle/dsv/2363638
title: RA_patients_fracture_after_PSM
DOI: 10.34740/kaggle/ds/1427745
title: RA_patients_fracture
DOI: 10.34740/kaggle/dsv/2363635
title: RA_patients_fracture_data
DOI: 10.18112/openneuro.ds003701.v1.0.1
title: Concrete Permuted Rule Operations
DOI: 10.25345/c5pz4w
title: MassIVE MSV000087694 - Lipidomic data of type 2 diabetes mellitus collected via Q-Exactive MS
title: Lipidomic data of type 2 diabetes mellitus collected via Q-Exactive MS.
DOI: 10.7910/dvn/z4nsna
title: Replication Data for: A Länder-based Forecast of the 2021 German Bundestag Election

description: Polls are poor forecasts when elections are distant because they are sensitive to events and conditions that can change before election day. Structural approaches, which fit models on previous elections and fundamentals such as economic performance, are less influenced by idiosyncratic events and can establish baseline expectations about election outcomes. However, they suffer from high uncertainty and underspecification imposed by small samples. We present an early forecast for the 2021 election to Germany's parliament, the Bundestag, that remedies the small-sample problem by predicting general election vote shares in the 16 German states (Länder) using economic and political data as well as state parliament election results. As Länder elections are dispersed over the calendar, they allow us to capture both actual voter preferences and new political issues. We then combine our aggregated national forecast with polling data using a weighted average that increasingly favors polls as the election nears.
DOI: 10.6084/m9.figshare.14832771
title: Community Composition in the Jejunum of lambs

description: The numbers of bacterial phylum and genus in the jejunum of lambs
DOI: 10.6084/m9.figshare.14832771.v1
title: Community Composition in the Jejunum of lambs

description: The numbers of bacterial phylum and genus in the jejunum of lambs
DOI: 10.6084/m9.figshare.14832744
title: Primer pairs used for qPCR

description: Primer pairs for qPCR were used to detect genes in the small intestine of lambs
DOI: 10.6084/m9.figshare.14832744.v2
title: Primer pairs used for qPCR

description: Primer pairs for qPCR were used to detect genes in the small intestine of lambs
DOI: 10.6084/m9.figshare.14832744.v1
title: Primer pairs used for qPCRm

description: Primer pairs for qPCR were used to detect genes in the small intestine of lambs
DOI: 10.5281/zenodo.5009820
title: Surface displacements related to the 2021 Maduo earthquake in Qinghai province, China

description: The dataset includes the SAR displacements observations, three-dimensional displacements, the strain invariants, and the slip model related to the 2021 Maduo earthquake in Qinghai province, China.
DOI: 10.5281/zenodo.5009819
title: Surface displacements related to the 2021 Maduo earthquake in Qinghai province, China

description: The dataset includes the SAR displacements observations, three-dimensional displacements, the strain invariants, and the slip model related to the 2021 Maduo earthquake in Qinghai province, China.
DOI: 10.6084/m9.figshare.14832798
title: Synthesis_NER_Tagger

description: Trained model for NER. Description: https://github.com/BananaTonic/Material_Synthesis_Corpus
DOI: 10.6084/m9.figshare.14832798.v1
title: Synthesis_NER_Tagger

description: Trained model for NER. Description: https://github.com/BananaTonic/Material_Synthesis_Corpus
DOI: 10.6084/m9.figshare.12451406
title: Dataset_Catch me if you can: Personality drives technique-specific biases during live-capture trapping

description: Data contains a Readme file, the assay details for captured military dragons that were used to quantify personality and the personality (boldness) indices for each individual.
DOI: 10.6084/m9.figshare.12451406.v1
title: Dataset_Catch me if you can: Personality drives technique-specific biases during live-capture trapping

description: Data contains a Readme file, the assay details for captured military dragons that were used to quantify personality and the personality (boldness) indices for each individual.
DOI: 10.25345/c5k53n
title: MassIVE MSV000087695 - GNPS BE18 Streptomyces_TSB_nbutanol
title: Extracted secondary metabolites from TSB cultures of endophytic BE18 Streptomyces sp.
DOI: 10.15121/1798192
title: Report on the deployment of the National Geothermal Data System 2.0

description: This reports includes a video description of recent upgrades and changes to the National Geothermal Data System (geothermaldata.org) and a text report of its relevant security upgrades. Improvements include a new operating system, implementation of HTTPS, implementation of a standard firewall, PostgreSQL upgrades, an ESRI ArcGIS server, new registration policies, and a non-public API.
DOI: 10.6084/m9.figshare.14626899.v1
title: Data for Alongflow variability of the Labrador Current during the Holocene

description: The mean size of the sortable silt for cores 96-20 and 93-27
DOI: 10.6084/m9.figshare.14626899
title: Data for Alongflow variability of the Labrador Current during the Holocene

description: The mean size of the sortable silt for cores 96-20 and 93-27
DOI: 10.6084/m9.figshare.14626899.v2
title: Data for Alongflow variability of the Labrador Current during the Holocene

description: The mean size of the sortable silt for cores 96-20 and 93-27
DOI: 10.25911/60d3f734b722a
title: "Seed Selection for Successful Fuzzing" supplementary data

description: Supplementary data for the ISSTA 2021 paper "Seed Selection for Successful Fuzzing".
DOI: 10.6084/m9.figshare.14832882.v1
title: Table S1.xlsx from Walruses produce intense impulse sounds by clap-induced cavitation during breeding displays

description: Male walruses produce some of the longest continuous reproductive displays known among mammals to convey their physical fitness to potential rivals, and possibly to potential mates. Here, we document the ability of a captive walrus to produce intense, rhythmic sounds through a non-vocal pathway involving deliberate, regular collision of the fore flippers. High-speed videography linked to an acoustic onset marker revealed sound production through cavitation, with the acoustic impulse generated by each forceful clap exceeding a peak-to-peak sound level of 200 dB re. 1 µPa. This clapping display is in some ways quite similar to the knocking display more commonly associated with walruses in rut but is produced through a very different mechanism and with much higher amplitudes. While this clapping behaviour has not yet been documented in wild individuals, it has been observed among other mature male walruses living in human care. Production of intense sounds through cavitation has previously been documented only in crustaceans but may also be an effective means of sound production for some aquatic mammals.
DOI: 10.6084/m9.figshare.14832882
title: Table S1.xlsx from Walruses produce intense impulse sounds by clap-induced cavitation during breeding displays

description: Male walruses produce some of the longest continuous reproductive displays known among mammals to convey their physical fitness to potential rivals, and possibly to potential mates. Here, we document the ability of a captive walrus to produce intense, rhythmic sounds through a non-vocal pathway involving deliberate, regular collision of the fore flippers. High-speed videography linked to an acoustic onset marker revealed sound production through cavitation, with the acoustic impulse generated by each forceful clap exceeding a peak-to-peak sound level of 200 dB re. 1 µPa. This clapping display is in some ways quite similar to the knocking display more commonly associated with walruses in rut but is produced through a very different mechanism and with much higher amplitudes. While this clapping behaviour has not yet been documented in wild individuals, it has been observed among other mature male walruses living in human care. Production of intense sounds through cavitation has previously been documented only in crustaceans but may also be an effective means of sound production for some aquatic mammals.
DOI: 10.6084/m9.figshare.14832711
title: Australian EEG Data Processing

description: Preprocessing of Australian EEG data in BVA<br>
DOI: 10.6084/m9.figshare.14832711.v1
title: Australian EEG Data Processing

description: Preprocessing of Australian EEG data in BVA<br>
DOI: 10.6084/m9.figshare.14832813
title: Multi-omic and survival datasets used for "DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data"

description: We obtained the 32 cancer multi-omic datasets from NCBI using TCGA portal (https://tcgadata.nci.nih.gov/tcga/). We used the package TCGA-Assembler (versions 2.0.5) and wrote custom scripts to download RNA-Seq (UNC IlluminaHiSeq RNASeqV2), miRNA Sequencing (BCGSC IlluminaHiSeq, Level 3), and DNA methylation (JHU-USC HumanMethylation450) data from the TCGA website on November 4-14th, 2017. We also obtained the survival information from the portal: https://portal.gdc.cancer.gov/. We used the same preprocessing steps as detailed in our previous study. We first downloaded RNA-Seq, miRNA-Seq and methylation data using the functions DownloadRNASeqData, DownloadmiRNASeqData, and DownloadMethylationData from TCGAAssembler, respectively. Then, we processed the data with the functions ProcessRNASeqData, ProcessmiRNASeqData, and ProcessMethylation450Data. In addition, we processed the methylation data with the function CalculateSingleValueMethylationData. Finally, for each omic data type, we created a gene-by-sample data matrix in the Tabular Separated Value (TSV) format using a custom script. <br>
DOI: 10.6084/m9.figshare.13565447
title: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin

description: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin
DOI: 10.6084/m9.figshare.13565447.v2
title: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin

description: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin
DOI: 10.6084/m9.figshare.13565447.v1
title: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin

description: Relationships among Forearc Structure, Fault Slip, and Earthquake Magnitude: Numerical Simulations with Applications to the Central Chilean Margin