cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10402434
title: UVic ESCM Pre-industrial and LGM simulations of inert gases in global ocean

description: Model simulation results for:

Global Ocean Cooling of 2.3 ⁰C during the Last Glacial MaximumA.M. Seltzer, P.W. Davidson, S.A. Shackleton, D.P. Nicholson, and S. Khatiwala

Freely available for public use. Please cite above publication.

Contents:.mat files containing steady-state monthly climatologies for Ar, Kr, Xe, Ne, and N2 throughout global ocean. Concentrations in mol/kg.

.xlsx file containing processed model output and configuration details

30 experiments and corresponding files are included, described in Table S1 of publication. 

File format is: 

"A_Output" + Circulation/T/S type + Gas exchange parameterization + ice fields + winds

where Circulation/T/S type could be PIC or LGM, gas exchange can be either L13b1 or L13b2 (Liang et al., 2013) with original or doubled bubble fluxes, ice can be PIC, LGM, or LGMplus (equatorward extension by 1.8 deg latitude), and winds can be:

(nothing) = unchanged from PIC

or 

05 through 15 = multiplied by scalar (0.5 through 1.5) for all latitudes poleward of 50 deg

Also included are climatological UVic ESCM potential temperature and salinity for PIC and LGM (files called "Theta..." or "Salt...")
DOI: 10.5281/zenodo.10402435
title: UVic ESCM Pre-industrial and LGM simulations of inert gases in global ocean

description: Model simulation results for:

Global Ocean Cooling of 2.3 ⁰C during the Last Glacial MaximumA.M. Seltzer, P.W. Davidson, S.A. Shackleton, D.P. Nicholson, and S. Khatiwala

Freely available for public use. Please cite above publication.

Contents:.mat files containing steady-state monthly climatologies for Ar, Kr, Xe, Ne, and N2 throughout global ocean. Concentrations in mol/kg.

.xlsx file containing processed model output and configuration details

30 experiments and corresponding files are included, described in Table S1 of publication. 

File format is: 

"A_Output" + Circulation/T/S type + Gas exchange parameterization + ice fields + winds

where Circulation/T/S type could be PIC or LGM, gas exchange can be either L13b1 or L13b2 (Liang et al., 2013) with original or doubled bubble fluxes, ice can be PIC, LGM, or LGMplus (equatorward extension by 1.8 deg latitude), and winds can be:

(nothing) = unchanged from PIC

or 

05 through 15 = multiplied by scalar (0.5 through 1.5) for all latitudes poleward of 50 deg

Also included are climatological UVic ESCM potential temperature and salinity for PIC and LGM (files called "Theta..." or "Salt...")
DOI: 10.17630/b665f897-96d9-4f31-9d5a-dfc49db25689
title: The Impersonal Passive in German of the Type Es wurde getanzt: A Structural Analysis (thesis data)

description: The following file types are included: - Spreadsheets produced using (and accessible via) Microsoft Excel - PDF files (accessible via the use of a PDF reader)
DOI: 10.17630/f162a371-10c7-4512-b678-558951c76e55
title: Flexible patches for millimeter wavelength holography
DOI: 10.5281/zenodo.10420443
title: Isolation of Single Species of Bacteria with Swarming Ability from Human Feces

description: The picture (image) files are the original raw scanned plates that were then cropped for display in the protocol.  The MALDI files are original spectra with summarized PDF files. Please note that many samples on MALDI were re-done so duplicate test organism labels are shown. Some of these were contaminated lanes so the exact annotation is on the protocol table, as samples were re-run, with the corresponding target position (also sample name). This PDF file contains multiple additional samples not presented in the protocol table. The sequence files are the metadata for all genomic sequences and bacterial annotations contained in the paper.  Raw sequenced reads (FASTQ) have been submitted to the National Center for Biotechnology Information (NCBI). This data can be accessed through the NCBI’s Sequence Read Archive (SRA) using the following BioProject ID: PRJNA994267.
DOI: 10.5281/zenodo.10420444
title: Isolation of Single Species of Bacteria with Swarming Ability from Human Feces

description: The picture (image) files are the original raw scanned plates that were then cropped for display in the protocol.  The MALDI files are original spectra with summarized PDF files. Please note that many samples on MALDI were re-done so duplicate test organism labels are shown. Some of these were contaminated lanes so the exact annotation is on the protocol table, as samples were re-run, with the corresponding target position (also sample name). This PDF file contains multiple additional samples not presented in the protocol table. The sequence files are the metadata for all genomic sequences and bacterial annotations contained in the paper.  Raw sequenced reads (FASTQ) have been submitted to the National Center for Biotechnology Information (NCBI). This data can be accessed through the NCBI’s Sequence Read Archive (SRA) using the following BioProject ID: PRJNA994267.
DOI: 10.34740/kaggle/dsv/7666257
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.17630/ea8ec4c1-1c2a-4bd7-8718-5e2d2009c667
title: Solid-Phase Synthesis of Recyclable Phosphorus Donor Ligands for the Development of Immobilized Transition-Metal Catalyst Libraries (Thesis data)

description: Data deposited contain FIDs of NMR spectra and IR spectra of compounds presented in the thesis. An NMR/IR software is required. The data files are embargoed until 25/06/2019
DOI: 10.34740/kaggle/dsv/7666265
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.17630/39a77a8c-3948-4618-ac21-f055aee83cd4
title: Enhanced Thermally Activated Delayed Fluorescence Through Bridge Modification in Sulfone-Based Emitters Employed in Deep Blue Organic Light-Emitting Diodes (dataset)
DOI: 10.17630/a310ce32-c506-4d5e-b3d5-f0c104343742
title: Optimization of Spray Pyrolysis for Cathode-Supported Solid Oxide Fuel Cells (thesis data)

description: The data files are embargoed until 21/03/2020
DOI: 10.17630/c8bb75db-b18b-4eab-b609-ac4628094554
title: Strong light-matter coupling for reduced photon energy losses in organic photovoltaics (dataset)
DOI: 10.17630/15c0e2d2-4fe0-4033-bd6d-a674db24f06f
title: NMR chemical shifts of urea loaded copper benzoate. A joint solid-state NMR and DFT study (dataset)
DOI: 10.5517/ccdc.csd.cc2gh56c
title: CCDC 2278692: Experimental Crystal Structure Determination

description: Related Article: Dhandapani Vinayagam, Karpagam Subramanian |2024|RSC Advances|14|5149|doi:10.1039/D3RA08451E
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.cc2gmjn9
title: CCDC 2282891: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjpb
title: CCDC 2282892: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjqc
title: CCDC 2282893: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjrd
title: CCDC 2282894: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjsf
title: CCDC 2282895: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjtg
title: CCDC 2282896: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjvh
title: CCDC 2282897: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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.cc2gmjwj
title: CCDC 2282898: Experimental Crystal Structure Determination

description: Related Article: Qian Wang, Hongtao Cheng, Junfeng Bai|2024|ACS Applied Materials and Interfaces|16|8077|doi:10.1021/acsami.3c16867
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: 10.17630/0c27a0c9-aa47-47e4-b30a-a215976c3dbe
title: 13C pNMR of “Crumple Zone” Cu(II) Isophthalate Metal-Organic Frameworks (dataset)

description: Raw solid-state NMR spectroscopic data underpinning the publication (Bruker format files, can be opened by TopSpin and MNova).
DOI: 10.17909/5a28-kf92
title: CTTS Direct Ly-alpha Reconstructions

description: The COS/G130M dataset of 17 Classical T Tauri Stars (CTTSs) which was used to develop direct Ly-alpha reconstruction models. These models were created to be generally applicable to a wider set of CTTSs, such as those observed through the ULLYSES program.
DOI: 10.17630/21d12144-58ef-4f82-acd0-ba3c9a44ed72
title: Lattice strain-enhanced exsolution of nanoparticles in thin films (dataset)

description: .opj files can be opened and viewed using freely available software: https://www.originlab.com/viewer/
DOI: 10.17630/b7c11904-b4b0-4acf-a02a-b1e53aec3672
title: Unexpected Phase Transition Sequence in the Ferroelectric Bi4Ti3O12 (dataset)
DOI: 10.17630/a9885b35-fe5e-4800-a07c-df93c1350f6d
title: Testing the role of trait reversal in evolutionary diversification using song loss in wild crickets (dataset)
DOI: 10.17630/cf96889d-75a8-444f-8d15-427d990e42a1
title: Investigation of the chromatin remodelling enzyme Uls1 and its interactions with Topoisomerase 2 in S. cerevisiae (Thesis data)

description: The data files are embargoed until 03/04/2022
DOI: 10.5281/zenodo.10685117
title: Dataset for Fault Indicator Placement in Distribution Systems: Improving the Criteria of Quality of Service

description: This release is associated with a paper entitled "Fault Indicator Placement in Distribution Systems: Improving the Criteria of Quality of Service".

In this document, we include information regarding the physical parameters of distribution power systems adopted to present the results shown in the paper. Additionally, the scenarios used to describe the problem, are provided in this document.
DOI: 10.5281/zenodo.10685116
title: Dataset for Fault Indicator Placement in Distribution Systems: Improving the Criteria of Quality of Service

description: This release is associated with a paper entitled "Fault Indicator Placement in Distribution Systems: Improving the Criteria of Quality of Service".

In this document, we include information regarding the physical parameters of distribution power systems adopted to present the results shown in the paper. Additionally, the scenarios used to describe the problem, are provided in this document.
DOI: 10.17630/c3b0856b-3400-4211-9e7c-eacfc7082067
title: Data underpinning: A label-free optical hemogram of granulocytes enhanced by artificial neural networks
DOI: 10.17630/338b4dbf-6503-4e8c-a00e-823274d01dc2
title: Data Underpinning Design and Synthesis of Novel Natural Product Inspired Trypanosomatid Inhibitors (PhD Thesis)

description: NMR data (raw + processed in MNova) for compounds. Modelling data - .PDB(QT) files to be opened in AutoDockTools or Pymol. The data files are embargoed until 29/04/2022
DOI: 10.5281/zenodo.10277931
title: Supplementary Data to Pontesilli et al 2023 manuscript

description: Supplementary Data for the manuscript entitled "Magma differentiation in dynamic mush domains from the perspective of multivariate statistics: open- vs closed-system evolution" and submitted for review on Geochemistry, Geophysics, Geosystems. Matrix glass major and trace element compositions, including original variables, analytical precision and accuracy based on secondary standards, as well as principal component scores, data clustering for each point analysis, partition coefficient values from literature including the complete reference list and results of differentiation modeling. Upload of the dataset on Zenodo under a CC4 Public License on restricted access on 06-12-2023, the dataset will be made publicly available upon eventual acceptance and publication.
DOI: 10.5281/zenodo.10277932
title: Supplementary Data to Pontesilli et al 2023 manuscript

description: Supplementary Data for the manuscript entitled "Magma differentiation in dynamic mush domains from the perspective of multivariate statistics: open- vs closed-system evolution" and submitted for review on Geochemistry, Geophysics, Geosystems. Matrix glass major and trace element compositions, including original variables, analytical precision and accuracy based on secondary standards, as well as principal component scores, data clustering for each point analysis, partition coefficient values from literature including the complete reference list and results of differentiation modeling. Upload of the dataset on Zenodo under a CC4 Public License on restricted access on 06-12-2023, the dataset will be made publicly available upon eventual acceptance and publication.
DOI: 10.57830/2301820
title: Pacific Island Network Anchialine Pool Monitoring Dataset 2019 - 2022

description: Anchialine pools were surveyed in two Pacific Island Network parks, Kaloko Honokohau National Historical Park (KAHO) and Puuhonua o Honaunau National Historical Park (PUHO), to quantify the annual abundance of select crustaceans, mollusc, odonate, and fish species in order to determine if the population size of these species declines or increases over time within each anchialine pool. Abiotic and biotic characteristics were also measured, which included riparian vegetation monitoring, percent cover, canopy closure, substrate particle size, water depth, light measurements, and water quality assessment. Surveys occurred in each park in 2019 and at PUHO in 2022. This dataset contains the results of the anchialine pool surveys for KAHO and PUHO in 2019 and 2022.
DOI: 10.21227/b58f-jt53
title: Bramble Flower Detection and Classification Dataset

description: This dataset contains both the artificial and real flower images of brambe flowers. The real images were taken with a realsense D435 camera inside the West Virginia University greenhouse. All the flowers are annotated in yolo format with a bounding box and class name. The trained weights after training have been provided. They can be used with the python script provided to detect the bramble flowers. Also the classifier can classify whether the flowers center is visible or hidden which can be helpful in precision pollination projects. Images are also augmented to make the task robust in various environmental conditions.
DOI: 10.34683/sr2842
title: StoneRounds Case: SR2842
title: Bardet Biedl Syndrome

description: StoneRounds Case SR2842 was diagnosed with Bardet Biedl Syndrome likely caused by mutations in the gene: BBS1.
DOI: 10.5519/qd.m165dhpm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5774607 records)
DOI: 10.5519/qd.jjbzukcl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (304 records)
DOI: 10.5519/qd.quubwbfy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5832 records)
DOI: 10.5281/zenodo.10685268
title: LAGTvecs

description: This dataset represents word vectors for eight subcorpora based on the LAGT (Zenodo) corpus of lemmatized ancient Greek texts. Each word is represented by a 100-dimensional vector, which has been obtained by means of the CBOW word2vec. The exact parameters of the training procedure and other details are described in our paper "A Distributional Semantic Approach to the Religious and Moral Dynamics in the Ancient Greek Texts", currently under review. The scripts used for generation of these vectors are available for reuse as a supplementery material to this paper, either from Zenodo  are directly from Github.

We make the data available as a single pickle file, which allows to load the vector data directly into Python by the following piece of code:

import requests
import pickle
import io

url = "https://zenodo.org/records/10685268/files/vectors_sample1m_dict.pickle?download=1"
vectors_dict = pickle.load(io.BytesIO(requests.get(url).content))


It returns a dictionary object, with names of individual subcorpora as keys (see the table below) and Gensim's keyed vectors for each subcorpus as values. For instance, to get ten most similar words to the term θεός in Greek texts from the Classical Period, you run:



vectors_dict["pagan_classical"].most_similar("θεός")


The eight subcorpora are as follows:








subcorpus



works_n



tokens_n



lemmata_n





pagan_archaic



59



338991



199023





pagan_classical



454



4129342



2042961





pagan_hellenistic



148



2533938



1303655





pagan_roman_peak



602



10903481



4820083





pagan_roman_late



229



5446413



1970470





christian_roman_peak



113



2082493



869103





christian_roman_late



96



3833534



1544889





jewish



93



2121316



814648
DOI: 10.5281/zenodo.10685267
title: LAGTvecs

description: This dataset represents word vectors for eight subcorpora based on the LAGT (Zenodo) corpus of lemmatized ancient Greek texts. Each word is represented by a 100-dimensional vector, which has been obtained by means of the CBOW word2vec. The exact parameters of the training procedure and other details are described in our paper "A Distributional Semantic Approach to the Religious and Moral Dynamics in the Ancient Greek Texts", currently under review. The scripts used for generation of these vectors are available for reuse as a supplementery material to this paper, either from Zenodo  are directly from Github.

We make the data available as a single pickle file, which allows to load the vector data directly into Python by the following piece of code:

import requests
import pickle
import io

url = "https://zenodo.org/records/10685268/files/vectors_sample1m_dict.pickle?download=1"
vectors_dict = pickle.load(io.BytesIO(requests.get(url).content))


It returns a dictionary object, with names of individual subcorpora as keys (see the table below) and Gensim's keyed vectors for each subcorpus as values. For instance, to get ten most similar words to the term θεός in Greek texts from the Classical Period, you run:



vectors_dict["pagan_classical"].most_similar("θεός")


The eight subcorpora are as follows:








subcorpus



works_n



tokens_n



lemmata_n





pagan_archaic



59



338991



199023





pagan_classical



454



4129342



2042961





pagan_hellenistic



148



2533938



1303655





pagan_roman_peak



602



10903481



4820083





pagan_roman_late



229



5446413



1970470





christian_roman_peak



113



2082493



869103





christian_roman_late



96



3833534



1544889





jewish



93



2121316



814648
DOI: 10.5281/zenodo.10520266
title: Constraints on the timing and lower crustal accretion at the Schulz Massif, Mohns Ridge, Arctic Mid Ocean Ridges

description: Supplementary Information. A Word file containing the supplementary information. Including Figures S1-10.

Table 1. An Excel spreadsheet containing electron microprobe analysis of clinopyroxene and plagioclase. 

Table 2. An Excel spreadsheet containing whole-rock geochemical results.

Table 3. An Excel spreadsheet containing TIMS U-Pb data.

Table 4. An Excel spreadsheet containing SIMS U-Pb data.

Table 5. An Excel spreadsheet containing zircon trace element and isotope data.

Table 6. An Excel spreadsheet containing crystal size distribution data.
DOI: 10.5281/zenodo.10684985
title: Reproduction Package for the FSE 2024 Paper "EyeTrans: Merging Human and Machine Attention for Neural Code Summarization"

description: This artifact accompanies our paper "EyeTrans: Merging Human and Machine Attention for Neural Code Summarization," which has been accepted for presentation at the ACM International Conference on the Foundations of Software Engineering (FSE) 2024.

The artifact contains the dataset derived from a human study using eye-tracking for code comprehension, crucial for the development of the EyeTrans model. Additionally, it includes the source code related to the research questions addressed within our work.

This includes the unprocessed data from the eye-tracking study, scripts for data processing, and the source code for the EyeTrans model, which merges human and machine attention within Transformer models. This resource is intended for researchers aiming to replicate our study, conduct further inquiry, or extend the techniques to new datasets in software engineering research.