cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uqmd7g
title: Occurrence Download

description: A dataset containing 1411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nysius huttoni White, 1878)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1411 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031998-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/l27ahq
title: A11_18862.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/e7f6b01a-8bbd-48f4-b497-2aa1a0bf87b7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/e7f6b01a-8bbd-48f4-b497-2aa1a0bf87b7
DOI: 10.7910/dvn/lps8za
title: A11_18863.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0db87555-5342-475e-80e3-5a019d846779'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0db87555-5342-475e-80e3-5a019d846779
DOI: 10.7910/dvn/hiqevt
title: A11_18865.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/bf9ed8af-1d74-4140-9302-731087ada726'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/bf9ed8af-1d74-4140-9302-731087ada726
DOI: 10.5281/zenodo.13981481
title: ADVANCEMENTS IN AIRLINE SECURITY: EVALUATING MACHINE LEARNING MODELS FOR THREAT DETECTION

description: This study assessed the performance of four machine learning algorithms—Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN)—for predicting airline security threats using a dataset of 100,000 entries with 30 features. The models were evaluated based on accuracy, precision, recall, F1-Score, and AUC-ROC. The Neural Network achieved the highest performance, with an accuracy of 88%, precision of 86%, recall of 85%, F1-Score of 85.5%, and AUC-ROC of 0.90, demonstrating superior capability in capturing complex, non-linear patterns. The Random Forest model followed, with an accuracy of 85%, precision of 83%, recall of 82%, F1-Score of 82.5%, and AUC-ROC of 0.87, offering a robust and generalizable solution. The SVM model attained an accuracy of 81%, precision of 80%, recall of 78%, F1-Score of 79%, and AUC-ROC of 0.84, showing effective binary classification but with higher computational costs. The Decision Tree model, while interpretable, had the lowest performance metrics: accuracy of 78%, precision of 76%, recall of 72%, F1-Score of 74%, and AUC-ROC of 0.79. The results indicate that Neural Networks and Random Forests are the most effective models for airline security threat detection, with Neural Networks providing the highest overall accuracy and AUC-ROC.
DOI: 10.5281/zenodo.13981482
title: ADVANCEMENTS IN AIRLINE SECURITY: EVALUATING MACHINE LEARNING MODELS FOR THREAT DETECTION

description: This study assessed the performance of four machine learning algorithms—Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN)—for predicting airline security threats using a dataset of 100,000 entries with 30 features. The models were evaluated based on accuracy, precision, recall, F1-Score, and AUC-ROC. The Neural Network achieved the highest performance, with an accuracy of 88%, precision of 86%, recall of 85%, F1-Score of 85.5%, and AUC-ROC of 0.90, demonstrating superior capability in capturing complex, non-linear patterns. The Random Forest model followed, with an accuracy of 85%, precision of 83%, recall of 82%, F1-Score of 82.5%, and AUC-ROC of 0.87, offering a robust and generalizable solution. The SVM model attained an accuracy of 81%, precision of 80%, recall of 78%, F1-Score of 79%, and AUC-ROC of 0.84, showing effective binary classification but with higher computational costs. The Decision Tree model, while interpretable, had the lowest performance metrics: accuracy of 78%, precision of 76%, recall of 72%, F1-Score of 74%, and AUC-ROC of 0.79. The results indicate that Neural Networks and Random Forests are the most effective models for airline security threat detection, with Neural Networks providing the highest overall accuracy and AUC-ROC.
DOI: 10.5281/zenodo.13981433
title: Italian YANS

description: Dataset for the validation of the Italian version of the YANS (YANS-It) that investigate the noise-related attitudes and behaviors of Italian adolescents.
DOI: 10.5281/zenodo.13981434
title: Italian YANS

description: Dataset for the validation of the Italian version of the YANS (YANS-It) that investigate the noise-related attitudes and behaviors of Italian adolescents.
DOI: 10.7910/dvn/z0if39
title: A11_18867.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1f68cf3f-b352-4dc0-8f3e-924bb95b6d4e'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1f68cf3f-b352-4dc0-8f3e-924bb95b6d4e
DOI: 10.7910/dvn/cr9uor
title: A11_18868.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/53f26047-f3af-41ce-975c-1e553b0d21e4'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/53f26047-f3af-41ce-975c-1e553b0d21e4
DOI: 10.15468/dl.aw7wqu
title: Occurrence Download

description: A dataset containing 1411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nysius huttoni White, 1878)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1411 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032000-241007104925546/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.27283119.v1
title: <b>Genomic Selection and ssGWAS of Sheep Body Weight and Milk Yield: Imputing Low-Coverage Sequencing Data with Similar Genetic Background Panels</b><b>Weight and Milk Yield: Imputing Low-Coverage Sequencing Data with Similar Genetic Background Panels</b>

description: Supplementary Table of "<b>Genomic Selection and ssGWAS of Sheep Body Weight and Milk Yield: Imputing Low-Coverage Sequencing Data with Similar Genetic Background Panels"</b>
DOI: 10.7910/dvn/3y3ujt
title: A11_18872.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1d936f50-dddb-4d94-8681-73129293e3cc'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1d936f50-dddb-4d94-8681-73129293e3cc
DOI: 10.15128/r1bv73c047f
title: Long-lived entanglement of molecules in magic-wavelength optical tweezers [dataset]

description: Realising quantum control and entanglement of particles is crucial for advancing both quantum technologies and fundamental science. Significant developments in this domain have been achieved in a variety of systems. In this context, ultracold polar molecules offer new and unique opportunities due to their more complex internal structure associated with vibration and rotation, coupled to the existence of long-range interactions. However, the same properties make molecules highly sensitive to their environment, impacting their coherence and utility in some applications. Here we show that by engineering an exceptionally controlled environment using rotationally-magic optical tweezers, we can achieve long-lived entanglement between pairs of molecules using detectable hertz-scale interactions. We prepare two-molecule Bell states with fidelity 0.924+0.013-0.016, limited by detectable leakage errors. When correcting for these errors, the fidelity is 0.976+0.014-0.016. We show that the second-scale entanglement lifetimes are limited solely by these errors, opening new avenues for quantum-enhanced metrology, ultracold chemistry and the use of rotational states for quantum simulation, quantum computation, and as quantum memories. The extension of precise quantum control to complex molecular systems will allow their additional degrees of freedom to be exploited across many domains of quantum science.
DOI: 10.7910/dvn/vpcpvo
title: A11_18875.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9775c12c-ea55-438c-aab1-580443519879'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9775c12c-ea55-438c-aab1-580443519879
DOI: 10.7910/dvn/phxskj
title: A11_18876.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/ef28a09b-6864-4b26-8d6f-f0b2d02f20ef'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/ef28a09b-6864-4b26-8d6f-f0b2d02f20ef
DOI: 10.7910/dvn/jvsfpb
title: A11_18878.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/d41e9856-15a9-4dae-a861-5b3bbeaacf76'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d41e9856-15a9-4dae-a861-5b3bbeaacf76
DOI: 10.7910/dvn/uup6wa
title: A11_18879.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/03f83c56-c33b-4a13-86b4-9b5c115df0ee'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/03f83c56-c33b-4a13-86b4-9b5c115df0ee
DOI: 10.7910/dvn/in5vam
title: A11_18880.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/c4d6b5c8-ca98-46ef-a024-5e0b92ab8397'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/c4d6b5c8-ca98-46ef-a024-5e0b92ab8397
DOI: 10.15468/dl.c2hjq2
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thalassodendron ciliatum (Forssk.) Hartog",
 "Year 2010-2020"
 ]
}

 The dataset includes 483 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032002-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/4bkpp5
title: A11_18883.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a82d1817-1261-49fb-97c3-7b6d97c910b0'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a82d1817-1261-49fb-97c3-7b6d97c910b0
DOI: 10.7910/dvn/j3ulla
title: A11_18884.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/124d5859-4a6f-4358-a86c-be96cf68bd66'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/124d5859-4a6f-4358-a86c-be96cf68bd66
DOI: 10.7910/dvn/nkuqiw
title: A11_18885.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/03b82600-81cb-463d-98db-b8aabbbb6444'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/03b82600-81cb-463d-98db-b8aabbbb6444
DOI: 10.7910/dvn/hlilns
title: A11_18886.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/cfab36d1-76c2-4be4-b1cc-f99cf7907af2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/cfab36d1-76c2-4be4-b1cc-f99cf7907af2
DOI: 10.5281/zenodo.13975259
title: Soil parameters measured in European Mole (Talpa europaea) mounds and nearby control areas on a meadow near Lad, Hungary

description: Soil parameters measured by the near-infrared device of Agrocares Ltd (the Netherlands): pH(H2O), soil organic matter (%), P (M3) (mg/kg), total nitrogen (g/kg), exchangeable K, Mg and Ca (mmol/kg), organic carbon (g/kg), potentially mineralizable nitrogen (g/kg), cation exchange capacity (mmol/kg), total Al (g/kg), total Fe (g/kg), clay (%) and soil moisture (%).
DOI: 10.5281/zenodo.13975260
title: Soil parameters measured in European Mole (Talpa europaea) mounds and nearby control areas on a meadow near Lad, Hungary

description: Soil parameters measured by the near-infrared device of Agrocares Ltd (the Netherlands): pH(H2O), soil organic matter (%), P (M3) (mg/kg), total nitrogen (g/kg), exchangeable K, Mg and Ca (mmol/kg), organic carbon (g/kg), potentially mineralizable nitrogen (g/kg), cation exchange capacity (mmol/kg), total Al (g/kg), total Fe (g/kg), clay (%) and soil moisture (%).
DOI: 10.7910/dvn/kfhjbh
title: A11_18888.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/14d9e382-f544-4629-9ecd-796e29d806c5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/14d9e382-f544-4629-9ecd-796e29d806c5
DOI: 10.7910/dvn/qzh0gh
title: A11_18889.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/6225eb6b-77b1-47e4-a84c-0393ccb15719'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/6225eb6b-77b1-47e4-a84c-0393ccb15719
DOI: 10.7910/dvn/uagdkj
title: A11_18890.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/2e3f965b-167d-4047-bd44-abab38d1cd77'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/2e3f965b-167d-4047-bd44-abab38d1cd77
DOI: 10.7910/dvn/2vufnk
title: A11_18893.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/22f369ff-99eb-4cb0-a2d0-86af36259df3'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/22f369ff-99eb-4cb0-a2d0-86af36259df3
DOI: 10.7910/dvn/zqyrg5
title: A11_18895.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/de5cad48-6838-4118-b3dd-bf0ca6b5ef0a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/de5cad48-6838-4118-b3dd-bf0ca6b5ef0a
DOI: 10.5281/zenodo.13981470
title: Experimental and theoretical data generated to study mechanism of water intrusion into flexible ZIF-8

description: Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union) along with the research on the thermal behaviour of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).

Underlying data for the publication Amayuelas, E. et al. Mechanism of Water Intrusion into Flexible ZIF-8: Liquid Is Not Vapor. Nanoletters 2023, 23, 5430-5436. https://doi.org/10.1021/acs.nanolett.3c00235. Data related to Figures 1 and 2 in the article.
DOI: 10.5281/zenodo.13981471
title: Experimental and theoretical data generated to study mechanism of water intrusion into flexible ZIF-8

description: Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union) along with the research on the thermal behaviour of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).

Underlying data for the publication Amayuelas, E. et al. Mechanism of Water Intrusion into Flexible ZIF-8: Liquid Is Not Vapor. Nanoletters 2023, 23, 5430-5436. https://doi.org/10.1021/acs.nanolett.3c00235. Data related to Figures 1 and 2 in the article.
DOI: 10.7910/dvn/n0xaze
title: A11_18896.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/ca77bcff-7ca2-4a26-8fad-186a37990aa9'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/ca77bcff-7ca2-4a26-8fad-186a37990aa9
DOI: 10.7910/dvn/lgqzyc
title: A11_18897.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/ace08151-37b0-4e01-ba54-34021a6d2d0f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/ace08151-37b0-4e01-ba54-34021a6d2d0f
DOI: 10.5281/zenodo.13981521
title: Braunschweig Altewiek Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.7910/dvn/ftzinq
title: A11_18899.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/b5e1fc19-2197-4f40-8bf8-b276446567b8'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/b5e1fc19-2197-4f40-8bf8-b276446567b8
DOI: 10.7910/dvn/aziyig
title: A11_18900.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/99820038-b506-4a02-a9a8-f6bb9c77a846'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/99820038-b506-4a02-a9a8-f6bb9c77a846
DOI: 10.57745/0prnr4
title: Greece_analysis_soil_eco2adapt_T0.tab

description: :unav
DOI: 10.7910/dvn/31b6ws
title: A11_18902.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/25b07476-e245-4fcc-9a7e-0ead6048c976'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/25b07476-e245-4fcc-9a7e-0ead6048c976
DOI: 10.7910/dvn/wavct4
title: A11_18905.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/81e073ff-a6c1-4aae-8b13-71cf059193c5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/81e073ff-a6c1-4aae-8b13-71cf059193c5
DOI: 10.7910/dvn/vuntgq
title: A11_18906.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/d856b523-9827-468f-adda-7b38ad1b5ae9'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d856b523-9827-468f-adda-7b38ad1b5ae9
DOI: 10.7910/dvn/m4fks6
title: A11_18911.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/3b75fb6c-dd8d-4cf7-aa48-2a2d4428ae93'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/3b75fb6c-dd8d-4cf7-aa48-2a2d4428ae93
DOI: 10.7910/dvn/o26gwv
title: A11_18913.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/43095c62-0bc7-4405-ab49-3290f56223c9'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/43095c62-0bc7-4405-ab49-3290f56223c9
DOI: 10.15468/dl.h35bc4
title: Occurrence Download

description: A dataset containing 17755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acipenseridae"
 ]
}

 The dataset includes 17755 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032004-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/vsd2ve
title: A11_18917.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/5f7220e8-7e4a-4ebc-9ddb-25bdfb67f623'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5f7220e8-7e4a-4ebc-9ddb-25bdfb67f623
DOI: 10.7910/dvn/aik6c6
title: A11_18918.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a6447c2b-ae1e-4d3e-a2ab-9c51d72569d9'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a6447c2b-ae1e-4d3e-a2ab-9c51d72569d9
DOI: 10.7910/dvn/ab23vi
title: A11_18919.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/f59e40a8-5c57-47ce-84ab-23a0375efd2b'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/f59e40a8-5c57-47ce-84ab-23a0375efd2b
DOI: 10.7910/dvn/gaxiiq
title: A11_18920.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/90fe03e6-3b00-4d13-a60b-2439588f4928'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/90fe03e6-3b00-4d13-a60b-2439588f4928
DOI: 10.7910/dvn/l08z7l
title: A11_18922.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/5a141937-a7d9-4177-b1a0-a975bda3cdd5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5a141937-a7d9-4177-b1a0-a975bda3cdd5
DOI: 10.15468/dl.nqdney
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Diversibipalium multilineatum (Makino & Shirasawa, 1983)",
 "Year 2024-2024"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032007-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rjmzqt
title: A11_18924.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9c64ff91-d8b8-4850-b318-05a9458838f2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9c64ff91-d8b8-4850-b318-05a9458838f2
DOI: 10.5281/zenodo.13981428
title: Experimental data generated on the study of partial intrusion and extrusion of C8-CH3 silica

description: Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union) along with the research on the stability of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).

Underlying data for the publication Paulo, G. et al. Partial Water Intrusion and Extrusion in Hydrophobic Nanopores for Thermomechanical Energy Dissipation. The Journal of Physical Chemistry C 2024, 128(29), 12036-12045. https://doi.org/10.1021/acs.jpcc.4c02900. Data related to Figures 2, 4 and 5 in the article.
DOI: 10.5281/zenodo.13981429
title: Experimental data generated on the study of partial intrusion and extrusion of C8-CH3 silica

description: Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union) along with the research on the stability of hydrophobic porous materials to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).

Underlying data for the publication Paulo, G. et al. Partial Water Intrusion and Extrusion in Hydrophobic Nanopores for Thermomechanical Energy Dissipation. The Journal of Physical Chemistry C 2024, 128(29), 12036-12045. https://doi.org/10.1021/acs.jpcc.4c02900. Data related to Figures 2, 4 and 5 in the article.
DOI: 10.7910/dvn/ywgyjb
title: A11_18925.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8a60eed3-7a37-4775-ae1c-abefbe0800cd'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8a60eed3-7a37-4775-ae1c-abefbe0800cd
DOI: 10.15468/dl.3fs47m
title: Occurrence Download

description: A dataset containing 3637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, France)",
 "TaxonKey is one of (Bistorta officinalis Raf., Salvia pratensis L., Agrimonia eupatoria L., Bromus erectus Huds., Campanula rotundifolia Boiss., 1841, Centaurea jacea L., Euphorbia cyparissias L., Cynosurus cristatus L., Anthoxanthum odoratum L., Hypochaeris radicata L., Knautia arvensis (L.) Coult., Lathyrus pratensis L., Lychnis flos-cuculi L., Leucanthemum vulgare Lam., Silene vulgaris (Moench) Garcke, Thymus pulegioides L., Tragopogon pratensis L.)",
 "Year 2024-2024"
 ]
}

 The dataset includes 3637 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032006-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.961743
title: Nannofossil abundance of ODP Hole 117-722B
DOI: 10.1594/pangaea.962197
title: Raw data of planktonic foraminifera of ODP Hole 117-722B
DOI: 10.1594/pangaea.962195
title: Planktonic foraminifera assemblage of ODP Hole 117-722B
DOI: 10.15468/dl.yz8gru
title: Occurrence Download

description: A dataset containing 2982 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Redunca redunca (Pallas, 1767)"
 ]
}

 The dataset includes 2982 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073459-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.856127
title: (Appendix B) Relative abundances of planktonic foraminifera in sediment core GL-77