cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8226429
title: Geometrical frustration and incommensurate magnetic order in Na3RuO4 with two triangular motifs

description: Auxiliary data for the frustrated magnet Na3RuO4: magnetic susceptibility, specific heat, lattice parameters, magnetic moments, and the results of DFT calculations for the magnetic exchange couplings
DOI: 10.5281/zenodo.8226430
title: Geometrical frustration and incommensurate magnetic order in Na3RuO4 with two triangular motifs

description: Auxiliary data for the frustrated magnet Na3RuO4: magnetic susceptibility, specific heat, lattice parameters, magnetic moments, and the results of DFT calculations for the magnetic exchange couplings
DOI: 10.5281/zenodo.10863391
title: CoEvolutionDebt

description: reproduction data for identifying and quantifying technical debt in the co-evolution of production and test code
DOI: 10.5281/zenodo.10863392
title: CoEvolutionDebt

description: reproduction data for identifying and quantifying technical debt in the co-evolution of production and test code
DOI: 10.6084/m9.figshare.25465297
title: Full dataset used in the study.

description: The analysis of audio recordings through acoustic indices has been proposed as an efficient way to measure and monitor biodiversity, given the assumption that greater biodiversity makes more rapidly-changing and complex sound. However, in previous work in south China, we have found only moderate correlations between the acoustic indices and bird diversity, when analyzing recordings that were made at the same time as conducting point counts of birds. Here, we extended that work in three study regions in Guangxi Province, making observations both inside relatively undisturbed forest reserves and in the surrounding agricultural lands. We found that of 42 correlations between bird species richness and the acoustic indices (seven commonly used acoustic indices [ACI, ADI, AEI, AR, BIO, H, NDSI] each calculated in six habitat/region combinations) only seven had even a moderate relationship (i.e., |r| ≥ 0.20). To understand this paucity of relationships, we listened to a subsample of the recordings, scoring them for various kinds of biophony (abundance of bird and insect sounds), anthropophony (amount of observer-produced sounds, sounds made by other humans, and sounds made by machines) and geophony (primarily wind, occasionally water). These analyses found that insects were positively related to the acoustic indices, especially in forests. Moreover, anthrophony and geophony, were, in general, negatively correlated to the indices. The abundance of bird vocalizations also had consistent and strong correlations to the residuals of the models relating the acoustic indices to bird diversity, demonstrating that the indices are clearly sensitive to the amount of bird sounds, but that is not necessarily strongly correlated to bird species richness. Multivariate models confirmed that the amounts of different sound categories were more influential on the acoustic indices than bird species richness. Our results demonstrate how competing noises, in both relatively undisturbed environments and heavily modified ones, can confound relationships between the acoustic indices and biodiversity. We discuss possible remedial steps for using acoustic indices in noisy soundscapes, including tailoring the selection of indices and frequency bands for the objectives of the project, or alternatively using a big-data approach that combines multiple indices.<br>
DOI: 10.6084/m9.figshare.25465297.v1
title: Full dataset used in the study.

description: The analysis of audio recordings through acoustic indices has been proposed as an efficient way to measure and monitor biodiversity, given the assumption that greater biodiversity makes more rapidly-changing and complex sound. However, in previous work in south China, we have found only moderate correlations between the acoustic indices and bird diversity, when analyzing recordings that were made at the same time as conducting point counts of birds. Here, we extended that work in three study regions in Guangxi Province, making observations both inside relatively undisturbed forest reserves and in the surrounding agricultural lands. We found that of 42 correlations between bird species richness and the acoustic indices (seven commonly used acoustic indices [ACI, ADI, AEI, AR, BIO, H, NDSI] each calculated in six habitat/region combinations) only seven had even a moderate relationship (i.e., |r| ≥ 0.20). To understand this paucity of relationships, we listened to a subsample of the recordings, scoring them for various kinds of biophony (abundance of bird and insect sounds), anthropophony (amount of observer-produced sounds, sounds made by other humans, and sounds made by machines) and geophony (primarily wind, occasionally water). These analyses found that insects were positively related to the acoustic indices, especially in forests. Moreover, anthrophony and geophony, were, in general, negatively correlated to the indices. The abundance of bird vocalizations also had consistent and strong correlations to the residuals of the models relating the acoustic indices to bird diversity, demonstrating that the indices are clearly sensitive to the amount of bird sounds, but that is not necessarily strongly correlated to bird species richness. Multivariate models confirmed that the amounts of different sound categories were more influential on the acoustic indices than bird species richness. Our results demonstrate how competing noises, in both relatively undisturbed environments and heavily modified ones, can confound relationships between the acoustic indices and biodiversity. We discuss possible remedial steps for using acoustic indices in noisy soundscapes, including tailoring the selection of indices and frequency bands for the objectives of the project, or alternatively using a big-data approach that combines multiple indices.<br>
DOI: 10.5281/zenodo.10810189
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10755567
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10814817
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10827163
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10830161
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10848336
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10755566
title: w0waCDM_3x2pt_polychord

description: This is the final upload, run is finished.
DOI: 10.5281/zenodo.10800562
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10805149
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10821423
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10839709
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10854205
title: w0waCDM_3x2pt_polychord
DOI: 10.5281/zenodo.10863551
title: w0waCDM_3x2pt_polychord

description: This is the final upload, run is finished.
DOI: 10.5281/zenodo.10849274
title: An Empirical Study of Deprecation Declarations in the Rust Ecosystem

description: An Empirical Study of Deprecation Declarations in the Rust Ecosystem

This Repository contains the data and scripts used in An Empirical Study of Deprecation Declarations in the Rust Ecosystem.

DataSet:



crateio_dumps: It contains data related to Rust packages exported from crate.io.

advisory-db:



GAD: GitHub Advisory Database, exported from reviewed adviosry-database repository. 

RAD: RustSec Advisory Databa, exported from Rustsec advisories.




Scripts:



0_preprocess.ipynb: Data preprocessing involves extracting dependency relationships between packages and filtering out the libraries for further study. 

1_RQ1.ipynb, 2_RQ1.ipynb: These two files obtains the results mentioned in RQ1.

3_RQ2.ipynb: This file obtains the results mentioned in RQ2.

4_RQ3.ipynb: This file obtains the results mentioned in RQ3.
DOI: 10.25345/c54t6ff0h
title: MassIVE MSV000094389 - An accessible workflow for high sensitivity proteomics using Parallel Accumulation - Serial Fragmentation (PASEF)
title: Deep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms, however, it is also challenging to implement in routine settings. In this protocol we combine a robust and accessible chromatographic platform with an equally robust and high-performance mass spectrometric set up, to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients combined with trapped ion mobility - quadrupole - time-of-flight mass spectrometry. It enables parallel accumulation - serial fragmentation (PASEF), in which all ions are used but spectra are resolved by ion mobility. Combined with data-independent acquisition (dia-PASEF), it offers high peak sampling rates and near-complete ion coverage. Here we explain how to balance quantitative accuracy, specificity, proteome coverage, and sensitivity by choosing best PASEF and DIA method parameters. The protocol streamlines the liquid chromatography - mass spectrometry setup and enables PASEF method generation and evaluation for varied samples. Our py_diAID tool automatically generates acquisition schemes where isolation windows are optimally positioned on the mass-to-charge and ion mobility plane. Hands-on time is three hours, and simple biological projects can be performed in three days. The implementation shown here allows reproducible quantification of 7,300 proteins in a human cancer cell line in 21 min with quadruplicate single-shot injections and 27,000 phosphosites in 21 min from for phospho-enriched quadruplicates. Synchro-PASEF, a next-generation scan mode, currently offers proteomic depth comparable to that of dia-PASEF. When analyzed with AlphaDIA, it showed superior quantitative reproducibility owing to its drastically reduced cycle times and high sampling efficiency.
DOI: 10.34740/kaggle/dsv/7921641
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.10863544
title: [IO Islamic 477] غزليّات اثر

description: Ghazaliyyât-i-Athar

This manuscript is now IO Islamic 1656 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 477 here with notations and hyperlinks].


1656

Ghazaliyyât-i-Athar (غزليّات اثر).

Ghazals, in alphabetical order, with some rubâ’îs and fards at the end, by Shafî’â Athar of Shîrâz, who spent the chief part of his life in Iṣfahân and died at Lâr A.H. 1113 (A.D. 1701, 1702), according to the chronogram كرد وداع از جهان معلم ثانى, quoted in A. Sprenger, Catal., p. 344; a later date, viz. A.H. 1124 (A.D. 1712, 1713), is given in the ديوان منتخب of Sirâj, ib., p. 149; comp. also ib., p. 117. As he was blind from early boyhood, he never visited India.

His dîwân was collected A.H. 1106 (A.D. 1694, 1695).

Copies of his complete lyrical poems are described in the Bodleian Cat., No. 1156; Rieu ii. p. 791b, and A. Sprenger, p. 344; comp. also Âtashkada, No. 645(col. 284 in the Bodleian Cat.), and Khulâṣat-alafkâr, No. 19 (ib., col. 303), where he is called a panegyrist of Shâh Sulaimân Ṣafawî.

Beginning of the ghazals, on fol. 1a:

بكش بوادئ افتادگى تن خود را الخ

No date. 

No. 477, ff. 73, 2 coll., each 11. 15; Shikasta; size, 83/8 in. by 51/8 in.
DOI: 10.5281/zenodo.10863543
title: [IO Islamic 477] غزليّات اثر

description: Ghazaliyyât-i-Athar

This manuscript is now IO Islamic 1656 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 477 here with notations and hyperlinks].


1656

Ghazaliyyât-i-Athar (غزليّات اثر).

Ghazals, in alphabetical order, with some rubâ’îs and fards at the end, by Shafî’â Athar of Shîrâz, who spent the chief part of his life in Iṣfahân and died at Lâr A.H. 1113 (A.D. 1701, 1702), according to the chronogram كرد وداع از جهان معلم ثانى, quoted in A. Sprenger, Catal., p. 344; a later date, viz. A.H. 1124 (A.D. 1712, 1713), is given in the ديوان منتخب of Sirâj, ib., p. 149; comp. also ib., p. 117. As he was blind from early boyhood, he never visited India.

His dîwân was collected A.H. 1106 (A.D. 1694, 1695).

Copies of his complete lyrical poems are described in the Bodleian Cat., No. 1156; Rieu ii. p. 791b, and A. Sprenger, p. 344; comp. also Âtashkada, No. 645(col. 284 in the Bodleian Cat.), and Khulâṣat-alafkâr, No. 19 (ib., col. 303), where he is called a panegyrist of Shâh Sulaimân Ṣafawî.

Beginning of the ghazals, on fol. 1a:

بكش بوادئ افتادگى تن خود را الخ

No date. 

No. 477, ff. 73, 2 coll., each 11. 15; Shikasta; size, 83/8 in. by 51/8 in.
DOI: 10.34740/kaggle/dsv/7921668
title: Data Analyst Job Postings
DOI: 10.34740/kaggle/dsv/7921671
title: Data Scientist - Linkedin Job Postings
DOI: 10.6084/m9.figshare.25465363
title: Relating Software Sustainability and Developer Rationales - Supplementary

description: The file contains the full list of rationales extracted from the interviews.
DOI: 10.6084/m9.figshare.25465363.v2
title: Relating Software Sustainability and Developer Rationales - Supplementary

description: The file contains the full list of rationales extracted from the interviews.
DOI: 10.6084/m9.figshare.25465363.v1
title: List of developer rationales

description: The file contains the full list of rationales extracted from the interviews.
DOI: 10.34740/kaggle/dsv/7921756
title: ⏳ endoflife.date database (duckdb)
DOI: 10.5281/zenodo.10650111
title: Em publicação
title: Em publicacao
DOI: 10.5281/zenodo.10650112
title: Em publicação
title: Em publicacao
DOI: 10.6084/m9.figshare.25465369
title: Research Data-CR.xlsx

description: The study titled "Effect of CSR on customer loyalty with the mediating role of corporate reputation: the case of commercial banks in Ethiopia" aims to investigate the relationship between Corporate Social Responsibility (CSR) initiatives, corporate reputation, and customer loyalty within the context of commercial banks in Ethiopia. The research is predominantly explanatory in nature, seeking to understand how CSR practices impact customer loyalty through the mediating role of corporate reputation.Data for this study was collected using a structured questionnaire as the data collection instrument. The respondents involved in the study were customers of commercial banks in Ethiopia, with a total sample size of 790 individuals. Purposive sampling techniques were employed to select respondents who have direct experience with the services provided by commercial banks.The analysis of the data was conducted using the AMOS structural equation model in conjunction with SPSS software to test and evaluate the hypotheses formulated in the study. The data description includes detailed information on the demographic characteristics of the respondents, allowing for a comprehensive understanding of the sample profile.Furthermore, the data collected encompasses various dimensions related to CSR initiatives, including economic, legal, ethical, and philanthropic aspects. Additionally, corporate reputation and customer loyalty related data are included to assess the impact of CSR on customer loyalty through the mediating role of corporate reputation. This comprehensive dataset provides valuable insights into the relationships between CSR practices, corporate reputation, and customer loyalty in the context of commercial banks in Ethiopia.
DOI: 10.5519/qd.310kvvxl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.2z6d5qi3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.10863642
title: Técnicas de integração
DOI: 10.5281/zenodo.10863643
title: Técnicas de integração
DOI: 10.5281/zenodo.10863648
title: General practice characteristics associated with life expectancy of practice populations: a cross-sectional study

description: The dataset was used to investgate features of general practice associated with life expectancy of general practice populations in England for the period 2015-2019.
DOI: 10.5281/zenodo.10863649
title: General practice characteristics associated with life expectancy of practice populations: a cross-sectional study

description: The dataset was used to investgate features of general practice associated with life expectancy of general practice populations in England for the period 2015-2019.
DOI: 10.6084/m9.figshare.25465390
title: Geographical Variations in Virulence Factors and Antimicrobial Resistance Amongst Staphylococci Isolated From Dogs From the United Kingdom and Romania

description: Geographical Variations in Virulence Factors and Antimicrobial Resistance Amongst Staphylococci Isolated From Dogs From the United Kingdom and Romania
DOI: 10.6084/m9.figshare.25465390.v1
title: MSSP results.XLSX

description: Geographical Variations in Virulence Factors and Antimicrobial Resistance Amongst Staphylococci Isolated From Dogs From the United Kingdom and Romania
DOI: 10.6084/m9.figshare.25437217
title: Supplementary Data for "<b>Fast and Accurate Variant Identification Tool for Sequencing-Based Studies</b>"

description: Benchmark datasets used in this study to evaluate the performance of QuickVariants and bcftools.Instruction of using these benchmark datasets can be found here.Gut_microbiome_benchmark.tar.gz contains gut microbiome WGS reads, original assembled genomes, and mutated genomes with <i>in silico</i> point mutations and indels. This dataset includes SRX5976902 <i>Akkermansia muciniphila</i> (<i>A. muciniphila</i>), SRX5977424 <i>Bacteroides</i><i> </i>faecis (<i>BaFa</i>), SRX5976649 <i>Bacteroides fragilis</i> (<i>B. fragilis</i>), SRX5976729 <i>Bacteroides ovatus</i> (<i>B. ovatus</i>), SRX6045315 <i>Bacteroides vulgatus</i> (<i>BaVu</i>), SRX6044844 <i>Bacteroides xylanisolvens</i><i> </i>(<i>BaXy</i>), SRX6044813 <i>Bifidobacterium adolescentis</i> (<i>BiAd</i>), SRX5991169 <i>Escherichia coli</i><i> </i>(<i>EsCo</i>), and SRX5992782 <i>Parabacteroides distasonis</i> (<i>PaDi</i>).COVID_benchmark.tar.gz contains SARS-Cov-2 (NC_045512.2 and SRR10971381) WGS reads, original assembled genomes, and mutated genomes <i>in silico</i> point mutations and indels.WGS_simulation_sequencingerror.tar.gz contains illumine Hiseq 2500 and NextSeq 500 v2 WGS data simulated from a reference genome of <i>B. fragilis</i> NCTC 9343 (NCBI accession GCF_000025985.1) with sequencing error rates varying from 0.1 to 10 times the original error rate (-qs -10, -qs 1, and -qs 10).MG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 20X read depth.MGBIG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 100X read depth.COVID_MGSW.tar.gz contains three longitudinal metagenomes from Wisconsin, USA sewage, collected in January 2022 (NCBI Accession SRR21019653, SRR21019687) and March 2023 (NCBI Accession SRR23934917), and SARS-Cov-2 reference genome (NC_045512.2).ExampleDataFig4-6.zip contains sam and vcf output files that support the examples shown in Fig 4-6.
DOI: 10.6084/m9.figshare.25437217.v2
title: Supplementary Data for "<b>Fast and Accurate Variant Identification Tool for Sequencing-Based Studies</b>"

description: Benchmark datasets used in this study to evaluate the performance of QuickVariants and bcftools.Instruction of using these benchmark datasets can be found here.Gut_microbiome_benchmark.tar.gz contains gut microbiome WGS reads, original assembled genomes, and mutated genomes with <i>in silico</i> point mutations and indels. This dataset includes SRX5976902 <i>Akkermansia muciniphila</i> (<i>A. muciniphila</i>), SRX5977424 <i>Bacteroides</i><i> </i>faecis (<i>BaFa</i>), SRX5976649 <i>Bacteroides fragilis</i> (<i>B. fragilis</i>), SRX5976729 <i>Bacteroides ovatus</i> (<i>B. ovatus</i>), SRX6045315 <i>Bacteroides vulgatus</i> (<i>BaVu</i>), SRX6044844 <i>Bacteroides xylanisolvens</i><i> </i>(<i>BaXy</i>), SRX6044813 <i>Bifidobacterium adolescentis</i> (<i>BiAd</i>), SRX5991169 <i>Escherichia coli</i><i> </i>(<i>EsCo</i>), and SRX5992782 <i>Parabacteroides distasonis</i> (<i>PaDi</i>).COVID_benchmark.tar.gz contains SARS-Cov-2 (NC_045512.2 and SRR10971381) WGS reads, original assembled genomes, and mutated genomes <i>in silico</i> point mutations and indels.WGS_simulation_sequencingerror.tar.gz contains illumine Hiseq 2500 and NextSeq 500 v2 WGS data simulated from a reference genome of <i>B. fragilis</i> NCTC 9343 (NCBI accession GCF_000025985.1) with sequencing error rates varying from 0.1 to 10 times the original error rate (-qs -10, -qs 1, and -qs 10).MG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 20X read depth.MGBIG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 100X read depth.COVID_MGSW.tar.gz contains three longitudinal metagenomes from Wisconsin, USA sewage, collected in January 2022 (NCBI Accession SRR21019653, SRR21019687) and March 2023 (NCBI Accession SRR23934917), and SARS-Cov-2 reference genome (NC_045512.2).ExampleDataFig4-6.zip contains sam and vcf output files that support the examples shown in Fig 4-6.
DOI: 10.6084/m9.figshare.25437217.v1
title: Supplementary Data for "<b>Fast and Accurate Variant Identification Tool for Sequencing-Based Studies</b>"

description: Benchmark datasets used in this study to evaluate the performance of QuickVariants and bcftools.Instruction of using these benchmark datasets can be found here.Gut_microbiome_benchmark.tar.gz contains gut microbiome WGS reads, original assembled genomes, and mutated genomes with <i>in silico</i> point mutations and indels. This dataset includes SRX5976902 <i>Akkermansia muciniphila</i> (<i>A. muciniphila</i>), SRX5977424 <i>Bacteroides</i><i> </i>faecis (<i>BaFa</i>), SRX5976649 <i>Bacteroides fragilis</i> (<i>B. fragilis</i>), SRX5976729 <i>Bacteroides ovatus</i> (<i>B. ovatus</i>), SRX6045315 <i>Bacteroides vulgatus</i> (<i>BaVu</i>), SRX6044844 <i>Bacteroides xylanisolvens</i><i> </i>(<i>BaXy</i>), SRX6044813 <i>Bifidobacterium adolescentis</i> (<i>BiAd</i>), SRX5991169 <i>Escherichia coli</i><i> </i>(<i>EsCo</i>), and SRX5992782 <i>Parabacteroides distasonis</i> (<i>PaDi</i>).COVID_benchmark.tar.gz contains SARS-Cov-2 (NC_045512.2 and SRR10971381) WGS reads, original assembled genomes, and mutated genomes <i>in silico</i> point mutations and indels.WGS_simulation_sequencingerror.tar.gz contains illumine Hiseq 2500 and NextSeq 500 v2 WGS data simulated from a reference genome of <i>B. fragilis</i> NCTC 9343 (NCBI accession GCF_000025985.1) with sequencing error rates varying from 0.1 to 10 times the original error rate (-qs -10, -qs 1, and -qs 10).MG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 20X read depth.MGBIG_simultation_sequencingerror.tar.gz contains an illumine Hiseq 2500 metagenomic dataset simulated from nine human gut microbiome reference genomes with the original sequencing error rate and 100X read depth.COVID_MGSW.tar.gz contains three longitudinal metagenomes from Wisconsin, USA sewage, collected in January 2022 (NCBI Accession SRR21019653, SRR21019687) and March 2023 (NCBI Accession SRR23934917), and SARS-Cov-2 reference genome (NC_045512.2).ExampleDataFig4-6.zip contains sam and vcf output files that support the examples shown in Fig 4-6.