cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.12328226.v58
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: https://blog.ukdataservice.ac.uk/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15468/dl.5j4wgz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010750-250711103210423/datasets/export for details.
DOI: 10.15468/dl.pvh9v3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Blepharispermum minus"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010752-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.3141910.v1
title: Interspeech 2016 - Experiment results for paper "Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition"

description: The files in the dataset correspond to results that have been generated for the submitted Interspeech 2016 paper: "Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition" (DOI: 10.21437/Interspeech.2016-480). The paper deals with language model adaptation for the MGB Challenge 2015 transcription task.<br>
<br>
The files in the zip file are of three types:<br>
- .ctm, which correspond to the output of the automatic speech recognition system and the columns include segment information as well as transcripts of the recognition.<br>
- .ctm.filt.sys, which correspond to scoring of the automatic speech recognition system and includes the overall word error rate as well as the number of insertions, deletions and substitutions of the overall system.<br>
- .ctm.filt.lur, which provides a more detailed decomposition of the word error rate across multiple genres.<br>
<br>
The three file types are repeated for all the results described in Table 3 of the paper.<br>
<br>
The following is a description about the naming convention of the files:<br>
<br>rnnlm refers to Recurrent Neural Network Language Model.<br>
amrnnlm prefix refers to acoustic model text RNNLM.<br>
amlmrnnlm prefix refers to acoustic model + language model text RNNLM.<br>
.lattice.rescore suffix refers to results generated with lattice rescoring.<br>
.nbest.rescore suffix refers to results generated with nbest rescoring.<br>
.baseline refers to baseline RNNLM results.<br>
.noadaptation refers to RNNLM results with no adaptation.<br>
.genre.finetune refers to genre fine-tuning of the RNNLMs.<br>
.genre.adaptationlayer refers to genre adaptation layer fine-tuning of the RNNLMs.<br>
.ldafeat.hiddenlayer refers to Latent Dirichlet Allocation (LDA) features at the hidden layer.<br>
.genrefeat.hiddenlayer refers to Genre 1-hot auxiliary codes at the hidden layer.<br>
.genrefeat.adaptationlayer refers to Genre 1-hot auxiliary codes at the adaptation layer.<br>
<br>
All three file types are standard outputs that are recognised by the automatic speech recognition community and can be opened using any text editor.
DOI: 10.15131/shef.data.12328226.v60
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: https://blog.ukdataservice.ac.uk/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15468/dl.fnhdkr
title: Occurrence Download

description: A dataset containing 2813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum odoratissimum"
 ]
}

 The dataset includes 2813 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010753-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x64q2z
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens pterosepala"
 ]
}

 The dataset includes 198 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010754-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.12328226.v59
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: https://blog.ukdataservice.ac.uk/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15468/dl.u9cvmj
title: Occurrence Download

description: A dataset containing 145057 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine amara"
 ]
}

 The dataset includes 145057 records from 778 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010656-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15878331
title: Metabarcoding Template
DOI: 10.15468/dl.byqrjb
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACI9139"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010756-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h488hw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is Tajikistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010757-250711103210423/datasets/export for details.
DOI: 10.15468/dl.6dt8na
title: Occurrence Download

description: A dataset containing 23730 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis aurea"
 ]
}

 The dataset includes 23730 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010755-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66w9bm
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cyrtandra widjajae, Cyrtandra wallichii, Cyrtandra vittata, Cyrtandra villosissima, Cyrtandra umbellifera, Cyrtandra trichodon, Cyrtandra teysmannii, Cyrtandra tenuicarpa, Cyrtandra sulcata, Cyrtandra subulibractea, Cyrtandra stonei, Cyrtandra stenoptera, Cyrtandra splendens)"
 ]
}

 The dataset includes 633 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010758-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9cypu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010759-250711103210423/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12465452
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.k92s87
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Spizella passerina)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010760-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp6wrm
title: Occurrence Download

description: A dataset containing 3143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3143 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010761-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2gk91d
title: CCDC 2280733: Experimental Crystal Structure Determination

description: Related Article: Lukas Brüning, Nityasagar Jena, Elena Bykova, Pascal L. Jurzick, Niko T. Flosbach, Mohamed Mezouar, Michael Hanfland, Nico Giordano, Timofey Fedotenko, Björn Winkler, Igor A. Abrikosov, Maxim Bykov|2023|Angew.Chem.,Int.Ed.|62|e202311519|doi:10.1002/anie.202311519
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3x8t
title: CCDC 2297666: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3x9v
title: CCDC 2297667: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3xbw
title: CCDC 2297668: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3xcx
title: CCDC 2297669: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3xdy
title: CCDC 2297670: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h3xfz
title: CCDC 2297671: Experimental Crystal Structure Determination

description: Related Article: Suchen Wan, Nicole Musielak, Allen G. Oliver, Adam Jaffe|2023|Angew.Chem.,Int.Ed.|62|e202314523|doi:10.1002/anie.202314523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14039148
title: Data for: Seasonal differences in observed versus modeled new particle formation at two European boreal stations

description: Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.4.0 which contains the control case and four experiments with the NPF lookup table. This paper is under review.

The files contain:



NetCDF files from TM5 general output for each simulation at the two location grid points.


File-name description of the EC-Earth3 experiments:  "Hyyt" = Hyytiälä, "Mossa" = Hyltemossa.

"ricc2" = CLUST-HIGH case

"dlpno" = CLUST-Low case

"bono" = CLUST-Low+Riccobono case

"ctrl"   = Model control run case

"nonpf" = No NPF case



Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 3-hourly grib datasets.


 



ADCHEM base-case particle number size distributions from Hyytiälä and Hyltemossa.
DOI: 10.5281/zenodo.14039147
title: Data for: Seasonal differences in observed versus modeled new particle formation at two European boreal stations

description: Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.4.0 which contains the control case and four experiments with the NPF lookup table. This paper is under review.

The files contain:



NetCDF files from TM5 general output for each simulation at the two location grid points.


File-name description of the EC-Earth3 experiments:  "Hyyt" = Hyytiälä, "Mossa" = Hyltemossa.

"ricc2" = CLUST-HIGH case

"dlpno" = CLUST-Low case

"bono" = CLUST-Low+Riccobono case

"ctrl"   = Model control run case

"nonpf" = No NPF case



Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 3-hourly grib datasets.


 



ADCHEM base-case particle number size distributions from Hyytiälä and Hyltemossa.
DOI: 10.21227/wx0g-7q97
title: "EEG dataset of drug addicts "

description: "This study is designed to assess stress reduction outcomes using Electroencephalographic (EEG) signals as biomarkers in drug addicts undergoing Cognitive Behavioral Therapy (CBT). Approach-EEG signals were collected from a sample of 360 drug addicts before and after CBT. Seven feature extraction techniques, both in frequency and temporal domains, were applied to the EEG data to extract stress-related biomarkers. A variety of conventional classifiers, including quadratic and linear Support Vector Machine (SVM), decision tree (DT) and logistic regression models were evaluated using performance metrics including accuracy, precision, sensitivity, specificity, and F1 score. To address class imbalance and enhance classification accuracy, an advanced predictive model based on random under-sampling boosting decision trees (RUSBoosted Trees) was also implemented"
DOI: 10.15131/shef.data.3693951.v2
title: Compressive Sensing Based Design of Sparse Tripole Arrays (Matlab code)

description: This Matlab code generates the results shown in the paper:Hawes, M.; Liu, W.; Mihaylova, L. Compressive Sensing Based Design of Sparse Tripole Arrays. <em>Sensors</em> <b>2015</b>, <em>15</em>, 31056-31068.For the code to run you will need to install the freely available package cvx for use with matlab.  This is available from:http://cvxr.com/cvx/download/
DOI: 10.15468/dl.rkc88t
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ctenopharyngodon idella",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010762-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pazpjj
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens rubricolor"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010763-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.