cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8086825
title: Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part I

description: Data behind the figures in the article; 4D potential temperature and salinity in Weddell region for reference experiments REF and H20C, and reversal experiments R_ERA and R_H20C.
DOI: 10.5281/zenodo.8086824
title: Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part I

description: Data behind the figures in the article; 4D potential temperature and salinity in Weddell region for reference experiments REF and H20C, and reversal experiments R_ERA and R_H20C.
DOI: 10.5281/zenodo.8086878
title: Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part II

description: 4D potential temperature and salinity in Weddell region for perturbation experiments SA_G, SA_S, SA_W, SUMMER_S and SUMMER_S+SAw_W
DOI: 10.5281/zenodo.8086877
title: Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part II

description: 4D potential temperature and salinity in Weddell region for perturbation experiments SA_G, SA_S, SA_W, SUMMER_S and SUMMER_S+SAw_W
DOI: 10.25376/hra.23605527
title: Paper Data Set_JAHA.xlsx

description: Data related to functional studies, assays and histology.
DOI: 10.25376/hra.23605527.v1
title: Paper Data Set_JAHA.xlsx

description: Data related to functional studies, assays and histology.
DOI: 10.25376/hra.23605548
title: OROBOROS data - JAHA.xlsx

description: Data related to mitochondrial function.
DOI: 10.5281/zenodo.8097697
title: Landsat time series classification training data

description: Data for the paper Hankui K. Zhang, Dong Luo, Zhongbin Li, Classifying raw irregular Landsat time series (CRIT) for large area land cover mapping by adapting Transformer model. It stores the daily raw Landsat ARD annual good quality surface reflectance time series for 1985, 2006 and 2018 for CONUS with 7 land cover classes. Details are in the paper.
DOI: 10.5281/zenodo.8097696
title: Landsat time series classification training data

description: Data for the paper Hankui K. Zhang, Dong Luo, Zhongbin Li, Classifying raw irregular Landsat time series (CRIT) for large area land cover mapping by adapting Transformer model. It stores the daily raw Landsat ARD annual good quality surface reflectance time series for 1985, 2006 and 2018 for CONUS with 7 land cover classes. Details are in the paper.
DOI: 10.5281/zenodo.7834211
title: Supplementary material for "A database for the comparison of measured datasets of human voice directivity"

description: [1] C. Pörschmann. “A database for the comparison of measured datasets of human voice directivity," in Proceedings of the Forum Acusticum, Torino, Italy, 2023. This study presents a database that allows direct comparison and visualization of datasets from 19 different studies. The data is collected from tables, plots, and datasets from the supplemental material of the respective studies. Some studies present directivity patterns averaged over a whole sentence, while others report phoneme-dependent data. Furthermore, these datasets vary in their sampling grids, with many measured in the horizontal plane and just a few measured spherically. Most datasets included in this work present frequency-band averaged values, for example, in one-third octave bands, while a few newer studies provide the raw data in the form of transfer functions. Furthermore, the supplementary material contains voice directivity datasets determined over a complete sentence determined for a phonetically balanced German sentence (measured twice for 13 subjects). The .pdf file contains information on the database that allows comparing the results of 19 publications on voice directivities general information on the voice directivity files in the SOFA format information on the indices and names of the SOFA-files additional plots The Database.zip Excel-file containing datasets from the publications given in frequency-bands SOFA-Files (sampled on sparse grid) of all own datasets from previous studies Matlab scripts for importing, upsampling and visualizing all voice directivity datasets considered in the database The VoiceDirectivitySentence.zip files contain voice directivities patterns averaged over one phonetically balanced sentence in the SOFA format sampled on the sparse measuring grid upsampled to a dense grid
DOI: 10.5281/zenodo.7834210
title: Supplementary material for "A database for the comparison of measured datasets of human voice directivity"

description: [1] C. Pörschmann. “A database for the comparison of measured datasets of human voice directivity," in Proceedings of the Forum Acusticum, Torino, Italy, 2023. This study presents a database that allows direct comparison and visualization of datasets from 19 different studies. The data is collected from tables, plots, and datasets from the supplemental material of the respective studies. Some studies present directivity patterns averaged over a whole sentence, while others report phoneme-dependent data. Furthermore, these datasets vary in their sampling grids, with many measured in the horizontal plane and just a few measured spherically. Most datasets included in this work present frequency-band averaged values, for example, in one-third octave bands, while a few newer studies provide the raw data in the form of transfer functions. Furthermore, the supplementary material contains voice directivity datasets determined over a complete sentence determined for a phonetically balanced German sentence (measured twice for 13 subjects). The .pdf file contains information on the database that allows comparing the results of 19 publications on voice directivities general information on the voice directivity files in the SOFA format information on the indices and names of the SOFA-files additional plots The Database.zip Excel-file containing datasets from the publications given in frequency-bands SOFA-Files (sampled on sparse grid) of all own datasets from previous studies Matlab scripts for importing, upsampling and visualizing all voice directivity datasets considered in the database The VoiceDirectivitySentence.zip files contain voice directivities patterns averaged over one phonetically balanced sentence in the SOFA format sampled on the sparse measuring grid upsampled to a dense grid
DOI: 10.5281/zenodo.7801342
title: InSight's seismic and meteorological data related to the Martian convective vortices

description: <strong>Overview:</strong> This repository includes the catalog related to Martian convective vortices observed by NASA's InSight mission. The detailed description is made in the JGR Planet paper entitled "Systematic catalog of Martian convective vortices observed by InSight" by Onodera et al. When you use the information in the catalog, please refer to the following citation. Onodera, K. et al. (2023), InSight's seismic and meteorological data related to the Martian convective vortices, Zenodo,<em><strong> </strong></em>doi:10.5281/zenodo.7801343<em><strong>.</strong></em> <strong>Files:</strong> The first numbers in each file name correspond to the ID number included in the catalog file (InSight_CV_Catalog.pickle). All files are in csv format including time in Local Mean True Time in sol, respective observation records. If a number is missing, that means the corresponding data were not available on that sol (at least with the sampling rate we focused on in our paper). <strong>InSight_CV_Catalog.pickle</strong>: It includes all estimated parameters presented by Onodera et al. (2023). <strong>PS.zip</strong>: 20 min long pressure data centered at the maximum pressure drop time (LMST, Pressure). <strong>VBB_ACC.zip</strong>: 20 min long acceleration data centered at the maximum pressure drop time (LMST, Z comp., N comp., E comp.). <strong>WSpeed_WDir_ATemp_calib.zip</strong>: 20 min long calibrated wind & air temperature data centered at the maximum pressure drop time (LMST, Wind speed, Wind direction, Air temperature).
DOI: 10.5281/zenodo.7801343
title: InSight's seismic and meteorological data related to the Martian convective vortices

description: <strong>Overview:</strong> This repository includes the catalog related to Martian convective vortices observed by NASA's InSight mission. The detailed description is made in the JGR Planet paper entitled "Systematic catalog of Martian convective vortices observed by InSight" by Onodera et al. When you use the information in the catalog, please refer to the following citation. Onodera, K. et al. (2023), InSight's seismic and meteorological data related to the Martian convective vortices, Zenodo,<em><strong> </strong></em>doi:10.5281/zenodo.7801343<em><strong>.</strong></em> <strong>Files:</strong> The first numbers in each file name correspond to the ID number included in the catalog file (InSight_CV_Catalog.pickle). All files are in csv format including time in Local Mean True Time in sol, respective observation records. If a number is missing, that means the corresponding data were not available on that sol (at least with the sampling rate we focused on in our paper). <strong>InSight_CV_Catalog.pickle</strong>: It includes all estimated parameters presented by Onodera et al. (2023). <strong>PS.zip</strong>: 20 min long pressure data centered at the maximum pressure drop time (LMST, Pressure). <strong>VBB_ACC.zip</strong>: 20 min long acceleration data centered at the maximum pressure drop time (LMST, Z comp., N comp., E comp.). <strong>WSpeed_WDir_ATemp_calib.zip</strong>: 20 min long calibrated wind & air temperature data centered at the maximum pressure drop time (LMST, Wind speed, Wind direction, Air temperature).
DOI: 10.5281/zenodo.8088526
title: InSight's seismic and meteorological data related to the Martian convective vortices

description: <strong>Overview:</strong> This repository includes the catalog related to Martian convective vortices observed by NASA's InSight mission. The detailed description is made in the JGR Planet paper entitled "Systematic catalog of Martian convective vortices observed by InSight" by Onodera et al. When you use the information in the catalog, please refer to the following citation. Onodera, K. et al. (2023), InSight's seismic and meteorological data related to the Martian convective vortices, Zenodo,<em><strong> </strong></em>doi:10.5281/zenodo.7801343<em><strong>.</strong></em> <strong>Files:</strong> The first numbers in each file name correspond to the ID number included in the catalog file (InSight_CV_Catalog.pickle). All files are in csv format including time in Local Mean True Time in sol, respective observation records. If a number is missing, that means the corresponding data were not available on that sol (at least with the sampling rate we focused on in our paper). <strong>InSight_CV_Catalog.pickle</strong>: It includes all estimated parameters presented by Onodera et al. (2023). <strong>PS.zip</strong>: 20 min long pressure data centered at the maximum pressure drop time (LMST, Pressure). <strong>VBB_ACC.zip</strong>: 20 min long acceleration data centered at the maximum pressure drop time (LMST, Z comp., N comp., E comp.). <strong>WSpeed_WDir_ATemp_calib.zip</strong>: 20 min long calibrated wind & air temperature data centered at the maximum pressure drop time (LMST, Wind speed, Wind direction, Air temperature).
DOI: 10.5281/zenodo.8095128
title: InSight's seismic and meteorological data related to the Martian convective vortices

description: <strong>Overview:</strong> This repository includes the catalog related to Martian convective vortices observed by NASA's InSight mission. The detailed description is made in the JGR Planet paper entitled "Systematic catalog of Martian convective vortices observed by InSight" by Onodera et al. When you use the information in the catalog, please refer to the following citation. Onodera, K. et al. (2023), InSight's seismic and meteorological data related to the Martian convective vortices, Zenodo,<em><strong> </strong></em>doi:10.5281/zenodo.7801343<em><strong>.</strong></em> <strong>Files:</strong> The first numbers in each file name correspond to the ID number included in the catalog file (InSight_CV_Catalog.pickle). All files are in csv format including time in Local Mean True Time in sol, respective observation records. If a number is missing, that means the corresponding data were not available on that sol (at least with the sampling rate we focused on in our paper). <strong>InSight_CV_Catalog.pickle</strong>: It includes all estimated parameters presented by Onodera et al. (2023). <strong>PS.zip</strong>: 20 min long pressure data centered at the maximum pressure drop time (LMST, Pressure). <strong>VBB_ACC.zip</strong>: 20 min long acceleration data centered at the maximum pressure drop time (LMST, Z comp., N comp., E comp.). <strong>WSpeed_WDir_ATemp_calib.zip</strong>: 20 min long calibrated wind & air temperature data centered at the maximum pressure drop time (LMST, Wind speed, Wind direction, Air temperature).
DOI: 10.25345/c5s756w1k
title: MassIVE MSV000092311 - Amyloid fibril proteomics of AD brains reveals modifiers of aggregation and toxicity
title: The accumulation of amyloid beta peptides in fibrils is prerequisite for Alzheimers disease (AD). Our understanding of the proteins that promote Abeta fibril formation and mediate neurotoxicity has been limited due to technical challenges in isolating pure amyloid fibrils from brain extracts.
DOI: 10.5281/zenodo.8021610
title: CaRCC Research Computing and Data (RCD) Workforce Survey Data 2021 - Part 2

description: Data sets to accompany "Compensation of Academic Research Computing and Data Professionals" Paper citation: Christina Maimone, Carrie Brown, Kimberly Grasch, Chris Reidy, and Ashley Stauffer. 2023. Compensation of Academic Research Computing and Data Professionals. In Proceedings of Practice and Experience in Advanced Research Computing (PEARC23). ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3569951.3593599 Survey questions: Maimone, Christina, Yockel, Scott, Middelkoop, Timothy, Alameda, Jay, Stauffer, Ashley, & Neeser, Amy. (2021). CaRCC Research Computing and Data (RCD) Workforce 2021 Census Questions (1.0). Zenodo. https://doi.org/10.5281/zenodo.5914431
DOI: 10.6084/m9.figshare.23605557
title: gRNA-target-sites for CCSAS paper (Zhong et al., 2021 Microbiome)

description: This dataset contains CRISPR-Cas9 compatible and taxon-specific gRNA-target-site sequences, specifically designed to target host 18S rRNA genes, without affecting microeukaryotes. This enables the profiling of eukaryotic microbiomes associated with metazoans and plants using the CRISPR-Cas Selective Amplicon Sequencing (CCSAS) method (Zhong et al., 2021). The gRNA-target-site oligonucleotide sequences compiled in this database correspond to the V4 region of the 18S rRNA gene in SILVA SSU database v119 (Quast et al., 2003), which can be amplified by the universal 18S primer set, TAReuk454FWD1 and TAReukREV3 (Stoeck et al., 2010). Further details can be found in Zhong et al. (2021) and GitHub page (https://github.com/kevinzhongxu/CasOligo). <br> <strong>References</strong> 1. Zhong KX, Cho A, Deeg CM, Chan AM & Suttle CA. (2021) The use of CRISPR-Cas Selective Amplicon Sequencing (CCSAS) to reveal the eukaryotic microbiome of metazoans. Microbiome 9, 230. https://doi.org/10.1186/s40168-021-01180-0. 2. Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596 (2013). 3. Stoeck, T. et al. Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Mol. Ecol. 19, 21–31 (2010). <br> <br>
DOI: 10.5281/zenodo.7881449
title: Computational redesign of cytochrome P450 CYP102A1 for highly stereoselective omeprazole hydroxylation by UniDesign

description: To make it consistent with our manuscript, in this version of Zenodo dataset, all "conformers" have been changed to "poses" in the file names and the contents of the Perl scripts (in Scripts.zip).
DOI: 10.5281/zenodo.7881450
title: Computational redesign of cytochrome P450 CYP102A1 for highly stereoselective omeprazole hydroxylation by UniDesign

description: This repository included the source data, computational results, and programs/scripts for the computational redesign of CYP102A1 to enhance its stereoselectivity for the hydroxylation of R-omeprazole.
DOI: 10.5281/zenodo.8097826
title: Computational redesign of cytochrome P450 CYP102A1 for highly stereoselective omeprazole hydroxylation by UniDesign

description: To make it consistent with our manuscript, in this version of Zenodo dataset, all "conformers" have been changed to "poses" in the file names and the contents of the Perl scripts (in Scripts.zip).
DOI: 10.15468/dl.eya8ks
title: Occurrence Download

description: A dataset containing 2558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Rhizophora mangle L."
 ]
}

 The dataset includes 2558 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060357-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjoqxs
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batis diops Jackson, 1905",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 194 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sx4vw
title: Occurrence Download

description: A dataset containing 2414493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 2013-2023"
 ]
}

 The dataset includes 2414493 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030550-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnxfkr
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates pipiens (Schreber, 1782)",
 "Geometry POLYGON((-110 60,-110 49,-101.5 49,-101.5 60,-110 60))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 309 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dvj5f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parasaniwidae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060351-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5ey52
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alepocephalus bairdii Goode & Bean, 1879"
 ]
}

 The dataset includes 289 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035346-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tmxuw
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aldrovandia phalacra (Vaillant, 1888)"
 ]
}

 The dataset includes 308 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be4psg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-113.47051 29.02588,-113.47039 29.01814,-113.46524 29.00932,-113.45834 29.01295,-113.46286 29.02202,-113.47051 29.02588))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae",
 "Year 2001-2021"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062215-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37gvpz
title: Occurrence Download

description: A dataset containing 21261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Sukkulentensammlung Zürich"
 ]
}

 The dataset includes 21261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046404-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zv8ogz
title: Occurrence Download

description: A dataset containing 1372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eryngium ebracteatum Lam.",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1372 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8e9v2
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Picus xanthopygaeus (J.E.Gray & G.R.Gray, 1847)",
 "BasisOfRecord is Specimen",
 "DecimalLongitude is greater than 0"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046428-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sh1ob
title: Occurrence Download

description: A dataset containing 3403810 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 3403810 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003689-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqw4qd
title: Occurrence Download

description: A dataset containing 37839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fiocruz/CEIOC - Coleção Entomológica do Instituto Oswaldo Cruz"
 ]
}

 The dataset includes 37839 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046476-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.