cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30879266.v2
title: References and Appendix for "Modernizing Correctional And Carceral Computing Education Programs In Canada"

description: About the paper: A scoping review that aims to explore the computer science and technology-based learning opportunities for incarcerated individuals in Canada, drawing comparisons with the existing computing education programs in the United States prisons. We also propose a set of programming exercises, informed by our findings of the scoping review<br>Appendices A, B and C are a list of our proposed programming exercises, grouped by the content topic. These are meant as easy-medium supplementary questions for introductory CS1-style course programs.References is a collection of all of the references for our research paper.
DOI: 10.17026/ar/pwah9d
title: PAN-00164059 - iron nail

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00164059&lt;/p&gt;
description: Modified: 2025-07-24T17:29:52+02:00
DOI: 10.5281/zenodo.17960163
title: BiToxNet: A Deep Learning Framework Integrating Multimodal Features for Accurate Identification of Neurotoxic Peptides and Proteins

description: Accurate prediction of the neurotoxicity of peptides and proteins is critically important for the safety assessment ofprotein therapeutics and the development of protein-based drugs. Although experimental methods can reliably identifyneurotoxic peptides and neurotoxins, they are labor-intensive, costly, and unsuitable for large-scale screening. Existingcomputational approaches are often limited by shallow feature engineering and suboptimal multimodal fusion strategies,which restrict their predictive accuracy and generalizability in real-world applications. In this study, we propose BiToxNet, a deep learning framework that integrates evolutionary embeddings derived from a protein large language model with ten handcrafted biochemical descriptors through a bilinear attention network (BAN). This design enables effective modeling of cross-modal interactions and residue-level dependencies critical for neurotoxicity prediction. BiToxNet was evaluated on three datasets of different sequence lengths, namely Protein, Peptide, and Combined datasets, achieving accuracies of 92.3%, 96.0%, and 92.7%, respectively, and consistently outperforming existing state-of-the-art methods. Ablation studies confirmed the importance of both evolutionary embeddings and handcrafted features, as well as the critical role of BAN in feature fusion. Visualization analyses using t-SNE and hierarchical clustering further demonstrated that BiToxNet learns highly discriminative representations without reliance on domain-specific prior knowledge. Additional evaluation on an external imbalanced dataset validated the robustness and strong generalization capability of the proposed framework. Overall, BiToxNet provides a powerful and generalizable computational framework for the accurate identification of neurotoxic peptides and proteins. By effectively integrating evolutionary and biochemical information through bilinear attention, BiToxNet offers a valuable tool for neurotoxin screening and protein drug safety assessment, and presents a distinctive modeling strategy applicable to a wide range of biological sequence analysis tasks.
DOI: 10.6084/m9.figshare.30879266
title: References for "Modernizing Correctional And Carceral Computing Education Programs In Canada"

description: About the paper: A scoping review that aims to explore the computer science and technology-based learning opportunities for incarcerated individuals in Canada, drawing comparisons with the existing computing education programs in the United States prisons.Attached is a collection of all of the references for our research paper.
DOI: 10.6084/m9.figshare.30879266.v4
title: References for "Modernizing Correctional And Carceral Computing Education Programs In Canada"

description: About the paper: A scoping review that aims to explore the computer science and technology-based learning opportunities for incarcerated individuals in Canada, drawing comparisons with the existing computing education programs in the United States prisons.Attached is a collection of all of the references for our research paper.
DOI: 10.15468/dl.2extwg
title: Occurrence Download

description: A dataset containing 10826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -15.0",
 "DecimalLatitude is less than or equal to -10.0",
 "DecimalLongitude is greater than or equal to -175.0",
 "DecimalLongitude is less than or equal to -170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 10826 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055781-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30879266.v3
title: References for "Modernizing Correctional And Carceral Computing Education Programs In Canada"

description: About the paper: A scoping review that aims to explore the computer science and technology-based learning opportunities for incarcerated individuals in Canada, drawing comparisons with the existing computing education programs in the United States prisons.Attached is a collection of all of the references for our research paper.
DOI: 10.5281/zenodo.15349331
title: GMAW of HSS: Cooling behaviour depending on the size of the tack weld and experimental setup used.

description: The data set contains information on Figures 2, 3, 13.
DOI: 10.5281/zenodo.15349332
title: GMAW of HSS: Cooling behaviour depending on the size of the tack weld and experimental setup used.

description: The data set contains information on Figures 2, 3, 13.
DOI: 10.17026/ar/xkksia
title: PAN-00143353 - finger ring group 4

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00143353&lt;/p&gt;
description: Modified: 2025-05-26T16:44:16+02:00
DOI: 10.48544/75d3a46d-760d-47b3-8caf-578d8ff44858
title: Nutritional epidemiology e-learning modules
DOI: 10.15468/dl.tmby84
title: Occurrence Download

description: A dataset containing 731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 50.0",
 "DecimalLatitude is less than or equal to 55.0",
 "DecimalLongitude is greater than or equal to -175.0",
 "DecimalLongitude is less than or equal to -170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 731 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055782-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd3341-v1
title: Labour Force Survey 2025, 3rd Quarter

description: Statistics Norway established the Labor Force Survey (LFS) in 1972, and it has been conducted quarterly ever since. The LFS measures the population's participation in the labor market and provides comprehensive information on unemployment, employment, people outside the labor force, temporary employees, underemployed and other subgroups that are not captured by register-based statistics. This makes the LFS one of the most important sources of information about conditions in the Norwegian labor market.

Right from the start, the aim has been to ensure that the survey is comparable with similar surveys internationally. Today, the LFS is designed in accordance with the EU's statistical regulations to ensure consistent and comparable European statistics. The LFS data contains long time series, and although there have been some breaks in the time series due to changes in the questionnaire and data collection, the most central variables have been continuously included since the start. This makes it possible to present time series data for the employed, unemployed and people outside the labor force all the way back to 1972.

The dataset consists of a single quarter, along with a quarterly weight. The dataset should be used for a quarterly average rather than an annual distribution. If an annual average is desired, separate datasets are available.
DOI: 10.34740/kaggle/dsv/14191093
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15124280
title: CCT-Diagramm HSS: Raw data set CCT, Hardness values

description: The published data set contains the raw data for the figures in the publication: Müller, J., Constantinos Goulas, Hensel, J. Analysis of thermal cycles during DED-Arc of high-strength low-alloy steel and microstructural evolution. Journal of Materials Research and Technology 31, 3661-3674 (2024). https://doi.org/10.1016/j.jmrt.2024.07.066. The assignment of the data in the Excel file to the respective figure is done by the name of the individual spreadsheets.
DOI: 10.5281/zenodo.15124281
title: CCT-Diagramm HSS: Raw data set CCT, Hardness values

description: The published data set contains the raw data for the figures in the publication: Müller, J., Constantinos Goulas, Hensel, J. Analysis of thermal cycles during DED-Arc of high-strength low-alloy steel and microstructural evolution. Journal of Materials Research and Technology 31, 3661-3674 (2024). https://doi.org/10.1016/j.jmrt.2024.07.066. The assignment of the data in the Excel file to the respective figure is done by the name of the individual spreadsheets.
DOI: 10.17026/ar/5f1afm
title: PAN-00092434 - cylindrical or disk-shaped Roman block weight

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00092434&lt;/p&gt;
description: Modified: 2025-08-12T10:13:07+02:00
DOI: 10.5281/zenodo.17960562
title: Atmospheric deposition and discharge chemistry in small forested cathments of Slučí, Sokolí, Suchý, Pekelský and Červík stream 2022-2024

description: Chemical composition of atmospheric deposition collected as bulk form (precipitation chemistry) and Discharge (stream water chemistry) for five small forested catchments in Jeseníky Mts, Moravian-Silesian Beskyds Mts. and Czech-Moravian Uppland (Czech Republic). Monthly values are presented for period from June 2022 till May 2024. The monthly amount of precipitation and discharge is presented as well.
DOI: 10.5281/zenodo.17960563
title: Atmospheric deposition and discharge chemistry in small forested cathments of Slučí, Sokolí, Suchý, Pekelský and Červík stream 2022-2024

description: Chemical composition of atmospheric deposition collected as bulk form (precipitation chemistry) and Discharge (stream water chemistry) for five small forested catchments in Jeseníky Mts, Moravian-Silesian Beskyds Mts. and Czech-Moravian Uppland (Czech Republic). Monthly values are presented for period from June 2022 till May 2024. The monthly amount of precipitation and discharge is presented as well.
DOI: 10.15468/dl.rf54j4
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Bhutan, Nepal, India, Pakistan)",
 "TaxonKey is Betula utilis"
 ]
}

 The dataset includes 732 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055784-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ms72rh
title: Occurrence Download

description: A dataset containing 9616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 60.0",
 "DecimalLatitude is less than or equal to 65.0",
 "DecimalLongitude is greater than or equal to -175.0",
 "DecimalLongitude is less than or equal to -170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 9616 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.11635377
title: Identification of ‘Voodoo’: an emerging substance of abuse in Egypt

description: <b>Background</b>: ‘Voodoo’ is a new substance of abuse that recently spread among youth in Egypt. It has numerous potentially dangerous effects on humans. However, to date the composition of the main constituents of this compound is unknown. <b>Purpose</b>: We sought to identify the active components of this unknown substance”voodoo”. <b>Methods</b>: Three samples were collected and analysed by high-performance liquid chromatography with photodiode array detector (HPLC-PAD), gas chromatography/mass spectrometry (GC/MS), and ultra-performance liquid chromatography/mass spectrometry (UPLC-MS/MS) using targeted multiple reaction monitoring (MRM). <b>Results</b>: HPLC-PAD analysis showed that samples 1 and 2 had some common major peaks, the same retention time, and similar spectra, whereas sample 3 showed different peaks. GC/MS analysis revealed the presence of various putatively identified bioactive compounds, including quinazolines, morphinan alkaloid, cannabinoids, penitrem A, and the well-known synthetic cannabinoid FUB-AMB (methyl(2S)-2-{[1-[(4-fluorophenyl)methyl]indazole-3-carbonyl]amino}-3 methylbutanoate). UPLC-MS/MS analysis revealed the presence of common compounds such as tetrahydrocannabinol (THC), amphetamine, 3,4-methylenedioxyamphetamine, tramadol, and oxazepam. <b>Conclusion</b>: We concluded that Voodoo is a mixture of substances of abuse at varying concentrations.
DOI: 10.6084/m9.figshare.11635377.v1
title: Identification of ‘Voodoo’: an emerging substance of abuse in Egypt

description: <b>Background</b>: ‘Voodoo’ is a new substance of abuse that recently spread among youth in Egypt. It has numerous potentially dangerous effects on humans. However, to date the composition of the main constituents of this compound is unknown. <b>Purpose</b>: We sought to identify the active components of this unknown substance”voodoo”. <b>Methods</b>: Three samples were collected and analysed by high-performance liquid chromatography with photodiode array detector (HPLC-PAD), gas chromatography/mass spectrometry (GC/MS), and ultra-performance liquid chromatography/mass spectrometry (UPLC-MS/MS) using targeted multiple reaction monitoring (MRM). <b>Results</b>: HPLC-PAD analysis showed that samples 1 and 2 had some common major peaks, the same retention time, and similar spectra, whereas sample 3 showed different peaks. GC/MS analysis revealed the presence of various putatively identified bioactive compounds, including quinazolines, morphinan alkaloid, cannabinoids, penitrem A, and the well-known synthetic cannabinoid FUB-AMB (methyl(2S)-2-{[1-[(4-fluorophenyl)methyl]indazole-3-carbonyl]amino}-3 methylbutanoate). UPLC-MS/MS analysis revealed the presence of common compounds such as tetrahydrocannabinol (THC), amphetamine, 3,4-methylenedioxyamphetamine, tramadol, and oxazepam. <b>Conclusion</b>: We concluded that Voodoo is a mixture of substances of abuse at varying concentrations.
DOI: 10.5281/zenodo.17940303
title: WeGA data package

description: The WeGA data package is a collection of TEI and MEI documents, constituting the digital edition of the Carl-Maria-von-Weber-Gesamtausgabe. The files are derived from our internal WeGA TEI format and are valid against TEI_all and mei_all respectively. WeGA element additions such as tei:workName are mapped to the more generic tei:name element, but no information was dropped. Internal references are provided via @ref attributes and full URIs, rather than magic @key attributes.


 


1. Contents


Every folder at the root level of the archive holds a distinctive WeGA document type



	
addenda: Addenda and Corrigenda concerning the printed volumes of the WeGA
	
biblio: bibliographic objects, forming our bibliography
	
diaries: Carl Maria von Weber's diaries
	
documents: various documents, not fitting any other category
	
letters: correspondence materials
	
news: website news, forming our "news" section on the website
	
orgs: organizations and institutions
	
persons: personographies
	
places: place descriptions
	
thematicCommentaries: small essays that comment on a collection of e.g. letters or diary entries
	
var: various website pages, e.g. API documentation
	
works: work descriptions
	
writings: writings, mostly reviews and historic news



 


2. License


The WeGA data package is released under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Enjoy!


 


3. Contact


This dataset is provided by the Carl-Maria-von-Weber-Gesamtausgabe


c/o Musikwissenschaftliches Seminar Detmold/Paderborn


Hornsche Str. 39


D–32756 Detmold


info at weber-gesamtausgabe.de


 


4. DOI


10.5281/zenodo.3520701
DOI: 10.5281/zenodo.3520700
title: WeGA data package

description: The WeGA data package is a collection of TEI and MEI documents, constituting the digital edition of the Carl-Maria-von-Weber-Gesamtausgabe. The files are derived from our internal WeGA TEI format and are valid against TEI_all and mei_all respectively. WeGA element additions such as tei:workName are mapped to the more generic tei:name element, but no information was dropped. Internal references are provided via @ref attributes and full URIs, rather than magic @key attributes.


 


1. Contents


Every folder at the root level of the archive holds a distinctive WeGA document type



	
addenda: Addenda and Corrigenda concerning the printed volumes of the WeGA
	
biblio: bibliographic objects, forming our bibliography
	
diaries: Carl Maria von Weber's diaries
	
documents: various documents, not fitting any other category
	
letters: correspondence materials
	
news: website news, forming our "news" section on the website
	
orgs: organizations and institutions
	
persons: personographies
	
places: place descriptions
	
thematicCommentaries: small essays that comment on a collection of e.g. letters or diary entries
	
var: various website pages, e.g. API documentation
	
works: work descriptions
	
writings: writings, mostly reviews and historic news



 


2. License


The WeGA data package is released under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Enjoy!


 


3. Contact


This dataset is provided by the Carl-Maria-von-Weber-Gesamtausgabe


c/o Musikwissenschaftliches Seminar Detmold/Paderborn


Hornsche Str. 39


D–32756 Detmold


info at weber-gesamtausgabe.de


 


4. DOI


10.5281/zenodo.3520701
DOI: 10.17026/ar/fsgauz
title: PAN-00105016 - coin/coin-related, Constantinus I en zonen (306-361), naar, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105016&lt;/p&gt;
description: Modified: 2025-05-12T08:13:28+02:00
DOI: 10.15468/dl.hrdbmu
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "TaxonKey is Geranium wallichianum"
 ]
}

 The dataset includes 56 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055787-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15124101
title: Thermography of DED-Arc processes: Raw data of the figures (time-temperature,-emission coefficient)

description: The published data set in the format of an Excel file contains the raw data for the figures in the publication: Müller, J., Hensel, J. Potential of thermography for the monitoring of DED-Arc processes. Weld World 68, 505–513 (2024). https://doi.org/10.1007/s40194-023-01676-3. The assignment of the data to the respective figure is made by the labeling of the individual spreadsheets.
DOI: 10.5281/zenodo.15124100
title: Thermography of DED-Arc processes: Raw data of the figures (time-temperature,-emission coefficient)

description: The published data set in the format of an Excel file contains the raw data for the figures in the publication: Müller, J., Hensel, J. Potential of thermography for the monitoring of DED-Arc processes. Weld World 68, 505–513 (2024). https://doi.org/10.1007/s40194-023-01676-3. The assignment of the data to the respective figure is made by the labeling of the individual spreadsheets.
DOI: 10.15468/dl.2pdc75
title: Occurrence Download

description: A dataset containing 49785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-4839.0",
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 49785 records from 692 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055786-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmfm7g
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eurydema rugulosa (Dohrn, 1860)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 339 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165494-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dtuh8
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocentrus cinctus (Herre, 1936)"
 ]
}

 The dataset includes 292 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055567-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye9f33
title: Occurrence Download

description: A dataset containing 882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.6623723999999953 45.4360560000000007, -122.6623723999999953 45.4380771499999980, -122.6623723999999953 45.4402330300000017, -122.6623723999999953 45.4423889199999991, -122.6623723999999953 45.4458922399999992, -122.6623723999999953 45.4475091600000027, -122.6623723999999953 45.4495302999999993, -122.6600748500000009 45.4495302999999993, -122.6572361700000044 45.4495302999999993, -122.6542623099999929 45.4495302999999993, -122.6506125800000007 45.4495302999999993, -122.6468280999999934 45.4495302999999993, -122.6468280999999934 45.4473744100000019, -122.6468280999999934 45.4450837799999974, -122.6468280999999934 45.4429278900000000, -122.6468280999999934 45.4411762300000035, -122.6468280999999934 45.4384813699999981, -122.6468280999999934 45.4360560000000007, -122.6500718799999987 45.4360560000000007, -122.6533160799999962 45.4360560000000007, -122.6568306399999955 45.4360560000000007, -122.6599396799999937 45.4360560000000007, -122.6623723999999953 45.4360560000000007))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 882 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095157-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.