cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28790v
title: CCDC 2092376: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28793y
title: CCDC 2092379: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc287961
title: CCDC 2092382: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc287rny
title: CCDC 2092830: Experimental Crystal Structure Determination

description: Related Article: C. Krebs, I. Jess, C. Näther|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|765|doi:10.1107/S2056989021006733
DOI: 10.5517/ccdc.csd.cc276j00
title: CCDC 2061841: Experimental Crystal Structure Determination

description: Related Article: Atsushi Yashiro, Yuya Tanaka, Tomofumi Tada, Shintaro Fujii, Tomoaki Nishino, Munetaka Akita|2021|Chem.-Eur.J.|27|9666|doi:10.1002/chem.202100828
DOI: 10.6084/m9.figshare.14945157
title: Table 53. Impact of article (Total citation for Top 10 qualitative articles)

description: Impact of article (Total citation for Top 10 qualitative articles)<b></b>
DOI: 10.5281/zenodo.5072565
title: Agrotourism visitors

description: Data of agrotourism visitors of Taman Bunga, Pandeglang Regency, Banten Province
DOI: 10.5281/zenodo.5072564
title: Agrotourism visitors

description: Data of agrotourism visitors of Taman Bunga, Pandeglang Regency, Banten Province
DOI: 10.5281/zenodo.5089158
title: Visitors perception

description: Perception data of visitors, Taman Bunga, Serang Regency, Banten Province.
DOI: 10.5281/zenodo.5089157
title: Visitors perception

description: Perception data of visitors, Taman Bunga, Serang Regency, Banten Province.
DOI: 10.6084/m9.figshare.14945370
title: Table 54. Corresponding authors

description: Corresponding authors<b></b>
DOI: 10.6084/m9.figshare.14945370.v1
title: Table 54. Corresponding authors

description: Corresponding authors<b></b>
DOI: 10.6084/m9.figshare.14945382.v1
title: MS_identified_information.xlsx

description: Basic information of LC-MS/MS analysis.
DOI: 10.6084/m9.figshare.14945382
title: MS_identified_information.xlsx

description: Basic information of LC-MS/MS analysis.
DOI: 10.6084/m9.figshare.14945400
title: Table 55. Continent of corresponding authors

description: Continent of corresponding authors<b></b>
DOI: 10.6084/m9.figshare.14945400.v1
title: Table 55. Continent of corresponding authors

description: Continent of corresponding authors<b></b>
DOI: 10.6084/m9.figshare.14945406
title: Table 56. Country of Corresponding author (based on Developed and Developing countries)

description: Country of Corresponding author (based on Developed and Developing countries) <b></b>
DOI: 10.6084/m9.figshare.14945406.v1
title: Table 56. Country of Corresponding author (based on Developed and Developing countries)

description: Country of Corresponding author (based on Developed and Developing countries) <b></b>
DOI: 10.6084/m9.figshare.14945418
title: Table 57. Country of corresponding author (Developed Countries only)

description: Country of corresponding author (Developed Countries only)<b></b>
DOI: 10.6084/m9.figshare.14945418.v1
title: Table 57. Country of corresponding author (Developed Countries only)

description: Country of corresponding author (Developed Countries only)<b></b>
DOI: 10.6084/m9.figshare.14945424
title: Table 59. Top 10 Corresponding Authors summary data

description: Top 10 Corresponding Authors summary data<b></b>
DOI: 10.6084/m9.figshare.14945424.v1
title: Table 59. Top 10 Corresponding Authors summary data

description: Top 10 Corresponding Authors summary data<b></b>
DOI: 10.6084/m9.figshare.14945436
title: Table 60. Institutional Affiliation of corresponding author

description: Institutional Affiliation of corresponding author<b></b>
DOI: 10.6084/m9.figshare.14945436.v1
title: Table 60. Institutional Affiliation of corresponding author

description: Institutional Affiliation of corresponding author<b></b>
DOI: 10.6084/m9.figshare.14945160
title: dada2_amplicon_ex_workflow.tar.gz

description: dada2_amplicon_ex_workflow.tar.gz<br>Goes along with Happy Belly tutorial here: https://astrobiomike.github.io/amplicon/dada2_workflow_ex
DOI: 10.6084/m9.figshare.14945160.v2
title: dada2_amplicon_ex_workflow.tar.gz

description: dada2_amplicon_ex_workflow.tar.gz<br>Goes along with Happy Belly tutorial here: https://astrobiomike.github.io/amplicon/dada2_workflow_ex
DOI: 10.6084/m9.figshare.14945160.v1
title: dada2_amplicon_ex_workflow.tar.gz

description: dada2_amplicon_ex_workflow.tar.gz<br>Goes along with Happy Belly tutorial here: https://astrobiomike.github.io/amplicon/dada2_workflow_ex
DOI: 10.6084/m9.figshare.14883035
title: <i>Tyto alba</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Tyto alba</i>; units metres
DOI: 10.6084/m9.figshare.14883035.v2
title: <i>Tyto alba</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Tyto alba</i>; units metres
DOI: 10.6084/m9.figshare.14883035.v1
title: <i>Tyto alba</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Tyto alba</i>; units metres
DOI: 10.6084/m9.figshare.14883038.v2
title: <i>Accipiter gentilis</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Accipiter gentilis</i>; units metres
DOI: 10.6084/m9.figshare.14883038
title: <i>Accipiter gentilis</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Accipiter gentilis</i>; units metres
DOI: 10.6084/m9.figshare.14883038.v1
title: <i>Accipiter gentilis</i> geometry from Raptor wing morphing with flight speed

description: stl geometry of <i>Accipiter gentilis</i>; units metres
DOI: 10.15151/esrf-es-452063273
title: Dinosaur eggs, embryos, and juveniles from the Upper Triassic and Lower Jurassic

description: Fossils with direct evidence on dinosaur reproduction behaviour and early ontogeny (development of embryos and hatchlings) are very rare, particularly those from deposits predating the Late Jurassic. We aim to reconstruct previously undescribed dinosaur embryos and juveniles from the Late Triassic-Early Jurassic of Poland and Sweden. The fossils to be scanned comprise: (1) eggshell fragments and infilled eggs from the newly discovered and oldest (latest Rhaetian) theropod nesting site (Skåne, Sweden), (2) eggs with probable theropod dinosaur embryos from an early Hettangian site (Holy Cross Mts., Poland), and (3) bones of a ?juvenile, basal theropod preserved in carbonate concretions from a mid-late Carnian site (Holy Cross Mts., Poland). By studying these specimens, we aim to cast new light on the ontogeny of some of the earliest large-sized theropod dinosaurs. Retrieving this information, however, will require the use of a powerful imaging technique.
DOI: 10.5281/zenodo.5089323
title: Nanotate - Tag distribution

description: 232 parts-of-speech from open access experimental protocols in biology were tagged by using the Nanotate tool with the six available categories (sample, equipment, reagent, input, output, step).
DOI: 10.5281/zenodo.5089322
title: Nanotate - Tag distribution

description: 232 parts-of-speech from open access experimental protocols in biology were tagged by using the Nanotate tool with the six available categories (sample, equipment, reagent, input, output, step).
DOI: 10.6084/m9.figshare.14945554
title: Supplementary Table 1 from Characterizing the supercomplex association of photosynthetic complexes in cyanobacteria

description: The light reactions of photosynthesis occur in thylakoid membranes that are densely packed with a series of photosynthetic complexes. The lateral organization and close association of photosynthetic complexes in native thylakoid membranes are vital for efficient light harvesting and energy transduction. Recently, analysis of the interconnections between photosynthetic complexes to form supercomplexes has garnered great interest. In this work, we report a method integrating immunoprecipitation, mass spectrometry and atomic force microscopy to identify the inter-complex associations of photosynthetic complexes in thylakoid membranes from the cyanobacterium <i>Synechococcus elongatus</i> PCC 7942. We characterize the preferable associations between individual photosynthetic complexes and binding proteins involved in the complex–complex interfaces, permitting us to propose the structural models of photosynthetic complex associations that promote the formation of photosynthetic supercomplexes. We also identified other potential binding proteins with the photosynthetic complexes, suggesting the highly connecting networks associated with thylakoid membranes. This study provides mechanistic insight into the physical interconnections of photosynthetic complexes and potential partners, which are crucial for efficient energy transfer and physiological acclimatization of the photosynthetic apparatus. Advanced knowledge of the protein organization and interplay of the photosynthetic machinery will inform rational design and engineering of artificial photosynthetic systems to supercharge energy production.
DOI: 10.6084/m9.figshare.14945557.v1
title: Supplementary File 2 from Characterizing the supercomplex association of photosynthetic complexes in cyanobacteria

description: The light reactions of photosynthesis occur in thylakoid membranes that are densely packed with a series of photosynthetic complexes. The lateral organization and close association of photosynthetic complexes in native thylakoid membranes are vital for efficient light harvesting and energy transduction. Recently, analysis of the interconnections between photosynthetic complexes to form supercomplexes has garnered great interest. In this work, we report a method integrating immunoprecipitation, mass spectrometry and atomic force microscopy to identify the inter-complex associations of photosynthetic complexes in thylakoid membranes from the cyanobacterium <i>Synechococcus elongatus</i> PCC 7942. We characterize the preferable associations between individual photosynthetic complexes and binding proteins involved in the complex–complex interfaces, permitting us to propose the structural models of photosynthetic complex associations that promote the formation of photosynthetic supercomplexes. We also identified other potential binding proteins with the photosynthetic complexes, suggesting the highly connecting networks associated with thylakoid membranes. This study provides mechanistic insight into the physical interconnections of photosynthetic complexes and potential partners, which are crucial for efficient energy transfer and physiological acclimatization of the photosynthetic apparatus. Advanced knowledge of the protein organization and interplay of the photosynthetic machinery will inform rational design and engineering of artificial photosynthetic systems to supercharge energy production.
DOI: 10.6084/m9.figshare.14945560
title: Supplementary File 1 from Characterizing the supercomplex association of photosynthetic complexes in cyanobacteria

description: The light reactions of photosynthesis occur in thylakoid membranes that are densely packed with a series of photosynthetic complexes. The lateral organization and close association of photosynthetic complexes in native thylakoid membranes are vital for efficient light harvesting and energy transduction. Recently, analysis of the interconnections between photosynthetic complexes to form supercomplexes has garnered great interest. In this work, we report a method integrating immunoprecipitation, mass spectrometry and atomic force microscopy to identify the inter-complex associations of photosynthetic complexes in thylakoid membranes from the cyanobacterium <i>Synechococcus elongatus</i> PCC 7942. We characterize the preferable associations between individual photosynthetic complexes and binding proteins involved in the complex–complex interfaces, permitting us to propose the structural models of photosynthetic complex associations that promote the formation of photosynthetic supercomplexes. We also identified other potential binding proteins with the photosynthetic complexes, suggesting the highly connecting networks associated with thylakoid membranes. This study provides mechanistic insight into the physical interconnections of photosynthetic complexes and potential partners, which are crucial for efficient energy transfer and physiological acclimatization of the photosynthetic apparatus. Advanced knowledge of the protein organization and interplay of the photosynthetic machinery will inform rational design and engineering of artificial photosynthetic systems to supercharge energy production.
DOI: 10.6084/m9.figshare.14945560.v1
title: Supplementary File 1 from Characterizing the supercomplex association of photosynthetic complexes in cyanobacteria

description: The light reactions of photosynthesis occur in thylakoid membranes that are densely packed with a series of photosynthetic complexes. The lateral organization and close association of photosynthetic complexes in native thylakoid membranes are vital for efficient light harvesting and energy transduction. Recently, analysis of the interconnections between photosynthetic complexes to form supercomplexes has garnered great interest. In this work, we report a method integrating immunoprecipitation, mass spectrometry and atomic force microscopy to identify the inter-complex associations of photosynthetic complexes in thylakoid membranes from the cyanobacterium <i>Synechococcus elongatus</i> PCC 7942. We characterize the preferable associations between individual photosynthetic complexes and binding proteins involved in the complex–complex interfaces, permitting us to propose the structural models of photosynthetic complex associations that promote the formation of photosynthetic supercomplexes. We also identified other potential binding proteins with the photosynthetic complexes, suggesting the highly connecting networks associated with thylakoid membranes. This study provides mechanistic insight into the physical interconnections of photosynthetic complexes and potential partners, which are crucial for efficient energy transfer and physiological acclimatization of the photosynthetic apparatus. Advanced knowledge of the protein organization and interplay of the photosynthetic machinery will inform rational design and engineering of artificial photosynthetic systems to supercharge energy production.
DOI: 10.6084/m9.figshare.14945557
title: Supplementary File 2 from Characterizing the supercomplex association of photosynthetic complexes in cyanobacteria

description: The light reactions of photosynthesis occur in thylakoid membranes that are densely packed with a series of photosynthetic complexes. The lateral organization and close association of photosynthetic complexes in native thylakoid membranes are vital for efficient light harvesting and energy transduction. Recently, analysis of the interconnections between photosynthetic complexes to form supercomplexes has garnered great interest. In this work, we report a method integrating immunoprecipitation, mass spectrometry and atomic force microscopy to identify the inter-complex associations of photosynthetic complexes in thylakoid membranes from the cyanobacterium <i>Synechococcus elongatus</i> PCC 7942. We characterize the preferable associations between individual photosynthetic complexes and binding proteins involved in the complex–complex interfaces, permitting us to propose the structural models of photosynthetic complex associations that promote the formation of photosynthetic supercomplexes. We also identified other potential binding proteins with the photosynthetic complexes, suggesting the highly connecting networks associated with thylakoid membranes. This study provides mechanistic insight into the physical interconnections of photosynthetic complexes and potential partners, which are crucial for efficient energy transfer and physiological acclimatization of the photosynthetic apparatus. Advanced knowledge of the protein organization and interplay of the photosynthetic machinery will inform rational design and engineering of artificial photosynthetic systems to supercharge energy production.
DOI: 10.6084/m9.figshare.14945577
title: Figure S1; Figure S2 from Urban warming and artificial light alter dormancy in the flesh fly

description: Spectra of the fluorescent light used for the laboratory diapause induction (A) and the residential light at site 2 in Experiment 2 (18:30 on 30 January 2018, 1-h after sunset) (B). Spectral irradiance (mW/m2/min) in each wavelength (nm) was recorded by the colour rendering illuminometer CL-70F (Konica Minolta, Tokyo, Japan). Note that the irradiance of A and B was different (972 lux and 17. 6 lux in A and B, respectively).; Night illuminance at site 1 and site 2 in Experiment 2, 23 September – 22 November 2016. Mean values of illuminance during the astronomical nights (from sunset to sunrise) obtained from the National Astronomical Observatory of Japan website (eco.mtk.nao.ac.jp) were calculated. Error bars indicate standard deviations. Shaded areas (5 and 6 October) indicate no data due to the incidence of a typhoon.
DOI: 10.6084/m9.figshare.14945577.v1
title: Figure S1; Figure S2 from Urban warming and artificial light alter dormancy in the flesh fly

description: Spectra of the fluorescent light used for the laboratory diapause induction (A) and the residential light at site 2 in Experiment 2 (18:30 on 30 January 2018, 1-h after sunset) (B). Spectral irradiance (mW/m2/min) in each wavelength (nm) was recorded by the colour rendering illuminometer CL-70F (Konica Minolta, Tokyo, Japan). Note that the irradiance of A and B was different (972 lux and 17. 6 lux in A and B, respectively).; Night illuminance at site 1 and site 2 in Experiment 2, 23 September – 22 November 2016. Mean values of illuminance during the astronomical nights (from sunset to sunrise) obtained from the National Astronomical Observatory of Japan website (eco.mtk.nao.ac.jp) were calculated. Error bars indicate standard deviations. Shaded areas (5 and 6 October) indicate no data due to the incidence of a typhoon.
DOI: 10.34740/kaggle/dsv/2411628
title: EU recovery and resilience facility current status
DOI: 10.5281/zenodo.5089437
title: Complementary Material for the Paper: "Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview"

description: This is the complementary material for the paper: "Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview", which is currently under review. We provide a brief description of the files and folder. <strong>1.</strong> <strong>Valid Responses of the Questionnaire.xlsx </strong>comprises the 87 valid survey responses that were collected by sending the questionnaire to 1000 participants. <strong>2. Interview Transcript </strong>includes eight files (Interview Transcript_IP1.docx - Interview Transcript_IP8.docx) of the interview transcripts from eight practitioners. <strong>3. Data Labeling & Encoding.mx18 </strong>is the results of data labeling and encoding that were analyzed by the MAXQDA tool. We extracted the answers of open questions from the questionnaire and interview instrument, labeled them with the number of respondents and interviewees (e.g., Respondent1, Respondent2, Interview Transcript_IP1), and encoded the extracted data using Grounded Theory. The file can be opened by MAXQDA 18 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download.
DOI: 10.5281/zenodo.3889140
title: Complementary Material for the Paper: "Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview"

description: This is the complementary material for the paper: "Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview", which is currently under review. We provide a brief description of the files and folder. <strong>1.</strong> <strong>Valid Responses of the Questionnaire.xlsx </strong>comprises the 87 valid survey responses that were collected by sending the questionnaire to 1000 participants. <strong>2. Interview Transcript </strong>includes eight files (Interview Transcript_IP1.docx - Interview Transcript_IP8.docx) of the interview transcripts from eight practitioners. <strong>3. Data Labeling & Encoding.mx18 </strong>is the results of data labeling and encoding that were analyzed by the MAXQDA tool. We extracted the answers of open questions from the questionnaire and interview instrument, labeled them with the number of respondents and interviewees (e.g., Respondent1, Respondent2, Interview Transcript_IP1), and encoded the extracted data using Grounded Theory. The file can be opened by MAXQDA 18 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download.
DOI: 10.5281/zenodo.5089471
title: Wikidata Dump All food

description: RDF dump of wikidata produced with wdumps. All Food items<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 38
DOI: 10.5281/zenodo.5089470
title: Wikidata Dump All food

description: RDF dump of wikidata produced with wdumps. All Food items<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 38
DOI: 10.5281/zenodo.5079744
title: Sparse-SIM datasets

description: This repository holds all the provided example data, and it is a part of publication: "<strong>Improving live-cell super-resolution fluorescence microscopy with sparse deconvolution, Nature Biotechnology, X, XXX-XXX (2021)</strong>".
DOI: 10.5281/zenodo.4429360
title: Soil Dataset for Land evaluation in southwestern of Egyptian Delta

description: Soil Dataset for Land evaluation in southwestern of Egyptian Delta
description: Entisols, Aridsols
description: {"references": ["Sys, C., Van Ranst, E., & Debaveye, J. (1991). Land evaluation, Part 1, principles in land evaluation 526 and crop production calculations. International Training Centre for Post-graduate Soil Scientists, 527 University Ghent."]}
DOI: 10.5281/zenodo.4429359
title: Soil Dataset for Land evaluation in southwestern of Egyptian Delta

description: Soil Dataset for Land evaluation in southwestern of Egyptian Delta
description: Entisols, Aridsols
description: {"references": ["Sys, C., Van Ranst, E., & Debaveye, J. (1991). Land evaluation, Part 1, principles in land evaluation 526 and crop production calculations. International Training Centre for Post-graduate Soil Scientists, 527 University Ghent."]}
DOI: 10.48341/jrxb-7b17
title: Auer, S. für das Team der MAS-Alzheimerhilfe, & Höfler, M. (2021). Datenauszug Datenbank MAS Alzheimerhilfe Juli 2021.Krems: Donau-Universität Krems.