cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/55887
title: Chandra X-ray Observatory ObsId 55887
DOI: 10.25574/55893
title: Chandra X-ray Observatory ObsId 55893
DOI: 10.25574/55894
title: Chandra X-ray Observatory ObsId 55894
DOI: 10.25574/55898
title: Chandra X-ray Observatory ObsId 55898
DOI: 10.25574/55901
title: Chandra X-ray Observatory ObsId 55901
DOI: 10.25574/55907
title: Chandra X-ray Observatory ObsId 55907
DOI: 10.25574/55909
title: Chandra X-ray Observatory ObsId 55909
DOI: 10.25574/55914
title: Chandra X-ray Observatory ObsId 55914
DOI: 10.25574/55916
title: Chandra X-ray Observatory ObsId 55916
DOI: 10.25574/55921
title: Chandra X-ray Observatory ObsId 55921
DOI: 10.25574/55923
title: Chandra X-ray Observatory ObsId 55923
DOI: 10.25574/55937
title: Chandra X-ray Observatory ObsId 55937
DOI: 10.25574/55939
title: Chandra X-ray Observatory ObsId 55939
DOI: 10.25574/55941
title: Chandra X-ray Observatory ObsId 55941
DOI: 10.25574/55943
title: Chandra X-ray Observatory ObsId 55943
DOI: 10.25574/55946
title: Chandra X-ray Observatory ObsId 55946
DOI: 10.25574/55948
title: Chandra X-ray Observatory ObsId 55948
DOI: 10.25574/55951
title: Chandra X-ray Observatory ObsId 55951
DOI: 10.25574/55952
title: Chandra X-ray Observatory ObsId 55952
DOI: 10.25574/55958
title: Chandra X-ray Observatory ObsId 55958
DOI: 10.25574/55965
title: Chandra X-ray Observatory ObsId 55965
DOI: 10.25574/55974
title: Chandra X-ray Observatory ObsId 55974
DOI: 10.25574/55976
title: Chandra X-ray Observatory ObsId 55976
DOI: 10.25574/55979
title: Chandra X-ray Observatory ObsId 55979
DOI: 10.25574/55981
title: Chandra X-ray Observatory ObsId 55981
DOI: 10.25574/55985
title: Chandra X-ray Observatory ObsId 55985
DOI: 10.25574/55987
title: Chandra X-ray Observatory ObsId 55987
DOI: 10.25574/55991
title: Chandra X-ray Observatory ObsId 55991
DOI: 10.25574/55993
title: Chandra X-ray Observatory ObsId 55993
DOI: 10.25574/55996
title: Chandra X-ray Observatory ObsId 55996
DOI: 10.25574/55998
title: Chandra X-ray Observatory ObsId 55998
DOI: 10.6084/m9.figshare.20761294
title: Allen brain mask weights (round 2)

description: Allen brain mask weights (round 2)
DOI: 10.6084/m9.figshare.20761294.v1
title: Allen brain mask weights (round 2)

description: Allen brain mask weights (round 2)
DOI: 10.5281/zenodo.7036273
title: Wikidata Dump stations (de)

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.7036272
title: Wikidata Dump stations (de)

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.6084/m9.figshare.20761264
title: METADATA: "Are nanomaterials leading to more efficient agriculture? Outputs from 2009-2022 research metadata analysis" by Santos et al (2022)

description: METADATA used for composing all figures of the manuscript entitled “Are nanomaterials leading to more efficient agriculture? Outputs from 2009-2022 research metadata analysis”, by Santos et al (2022) published by Environmental Science: Nano, from the Royal Society of Chemistry. The manuscript is available at the publisher’s webpage. (Please, check: https://doi.org/10.1039/D1EN01078F) <br> Each sheet of the present table encompasses one figure or one chart presented within a figure, as follows: <br> Fig. 1- Description of the NPs composition <br> Fig. 2- Description of the plant species employed <br> Fig. 3a- Description NPs size (determined either through TEM or DLS) <br> Fig. 3b- Description of the use of controls in the experiments <br> Fig. 3c- Description of the environment conditions in which the studies were conducted <br> Fig. 4a- Description of way of exposure, i.e., which plant tissue(s) was/were exposed to the NPs <br> Fig. 4b- Description of the exposure time of the plant tissues to the NPs <br> Fig. 4c- Description of NPs concentration range <br> Fig. 5a - Description of the effects of NPs exposure in plant development <br> Fig. 5b - Description of the effects of NPs exposure on soil microbiome <br> Fig. 6a - Description of the effect as function of NPs concentration <br> Fig. 6b - Description of the effect as function pH of soil <br> Fig. 6c- Effect as function of exposure time <br> Each reported information is accompanied by the manuscript's Digital Object Identifier (DOI) where it is reported. <br> FORMAT: Microsoft Excel Workbook (.xlsx)
DOI: 10.34740/kaggle/dsv/4145782
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.20761522
title: Additional file 3 of Combined protein and transcript single-cell RNA sequencing in human peripheral blood mononuclear cells

description: Additional file 3: Data S2. (separate excel file). Data underlying Figure 6, random forest model.
DOI: 10.6084/m9.figshare.20761519
title: Additional file 2 of Combined protein and transcript single-cell RNA sequencing in human peripheral blood mononuclear cells

description: Additional file 2: Data S1. (separate excel file). Data underlying Figure 5, dotplots of DEGs for disease types.
DOI: 10.6084/m9.figshare.20761519.v1
title: Additional file 2 of Combined protein and transcript single-cell RNA sequencing in human peripheral blood mononuclear cells

description: Additional file 2: Data S1. (separate excel file). Data underlying Figure 5, dotplots of DEGs for disease types.
DOI: 10.6084/m9.figshare.20761535
title: Additional file 1 of Complications associated with open reduction and internal fixation for adult distal humerus fractures: a multicenter retrospective study

description: Additional file 1. Data of all study population of 170 patients.
DOI: 10.6084/m9.figshare.20761543.v1
title: Additional file 2 of Phenotypic characteristics and variability in CHARGE syndrome: a PRISMA compliant systematic review and meta-analysis

description: Additional file 2: R code used for data analysis.
DOI: 10.6084/m9.figshare.20761543
title: Additional file 2 of Phenotypic characteristics and variability in CHARGE syndrome: a PRISMA compliant systematic review and meta-analysis

description: Additional file 2: R code used for data analysis.
DOI: 10.6084/m9.figshare.20761535.v1
title: Additional file 1 of Complications associated with open reduction and internal fixation for adult distal humerus fractures: a multicenter retrospective study

description: Additional file 1. Data of all study population of 170 patients.
DOI: 10.21227/e00m-6n86
title: ai-dpd

description: 这是从视频中提取的 5 个等级的 ppd 数据集
DOI: 10.5281/zenodo.7039684
title: ICSE2023 DATA

description: Experiment data and source code
DOI: 10.5281/zenodo.7039683
title: ICSE2023 DATA

description: Experiment data and source code
DOI: 10.5519/qd.968z410e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc27351l
title: CCDC 2058618: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Jordan C. Martinez, Jonathan M. Darmon, Novruz G. Akhmedov, Jeffrey L. Petersen, Carsten Milsmann|2022|Organometallics|41|2268|doi:10.1021/acs.organomet.2c00260
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.cc27352m
title: CCDC 2058619: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Jordan C. Martinez, Jonathan M. Darmon, Novruz G. Akhmedov, Jeffrey L. Petersen, Carsten Milsmann|2022|Organometallics|41|2268|doi:10.1021/acs.organomet.2c00260
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.cc27353n
title: CCDC 2058620: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Jordan C. Martinez, Jonathan M. Darmon, Novruz G. Akhmedov, Jeffrey L. Petersen, Carsten Milsmann|2022|Organometallics|41|2268|doi:10.1021/acs.organomet.2c00260
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.cc28wqjf
title: CCDC 2112015: Experimental Crystal Structure Determination

description: Related Article: Diego Martínez-Bourget, Erika Rocha, Pablo Labra-Vázquez, Rosa Santillan, Benjamín Ortiz-López, Vianney Ortiz-Navarrete, Valérie Maraval, Remi Chauvin, Norberto Farfán|2022|Spectrochim.Acta,Part A|283|121704|doi:10.1016/j.saa.2022.121704
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.cc2bq4z6
title: CCDC 2166248: Experimental Crystal Structure Determination

description: Related Article: Xin-Yue Zhou, Ming Zhang, Zhong Liu, Jia-Hao He, Xiao-Chen Wang|2022|J.Am.Chem.Soc.|144|14463|doi:10.1021/jacs.2c06776
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.cc2bqjm7
title: CCDC 2166609: Experimental Crystal Structure Determination

description: Related Article: Hongjie Gao, Jia-Yi Chen, Zhiqiang Peng, Lei Feng, Chen-Ho Tung, Wenguang Wang|2022|J.Org.Chem.|87|10848|doi:10.1021/acs.joc.2c01122
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.cc2bqjn8
title: CCDC 2166610: Experimental Crystal Structure Determination

description: Related Article: Hongjie Gao, Jia-Yi Chen, Zhiqiang Peng, Lei Feng, Chen-Ho Tung, Wenguang Wang|2022|J.Org.Chem.|87|10848|doi:10.1021/acs.joc.2c01122
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.cc2bqjp9
title: CCDC 2166611: Experimental Crystal Structure Determination

description: Related Article: Hongjie Gao, Jia-Yi Chen, Zhiqiang Peng, Lei Feng, Chen-Ho Tung, Wenguang Wang|2022|J.Org.Chem.|87|10848|doi:10.1021/acs.joc.2c01122
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.cc2bsk0q
title: CCDC 2168543: Experimental Crystal Structure Determination

description: Related Article: Zhenzhu Hu, Peng Ma, Ning Ma, Jianhui Wang|2022|J.Org.Chem.|87|10982|doi:10.1021/acs.joc.2c01254
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.cc2c0nln
title: CCDC 2175381: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Jordan C. Martinez, Jonathan M. Darmon, Novruz G. Akhmedov, Jeffrey L. Petersen, Carsten Milsmann|2022|Organometallics|41|2268|doi:10.1021/acs.organomet.2c00260
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.cc2ch4bc
title: CCDC 2189292: Experimental Crystal Structure Determination

description: Related Article: Zhenzhu Hu, Peng Ma, Ning Ma, Jianhui Wang|2022|J.Org.Chem.|87|10982|doi:10.1021/acs.joc.2c01254
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: 10.26180/14676105
title: Jets - Numerical dataset

description: This project aims to investigate the high-speed forced flow associated with the underexpanded impinging jet (UIJ). This flow is a critical component of diverse processes ranging from pharmaceutical systems to novel manufacturing processes, to aerospace propulsion applications. It is our contention that the underexpanded impinging jet flow is an inherently forced flow. This forcing is acoustic in nature, primarily driven via a feedback process that has its origin at the impingement surface.<br>The nature of this “forced” flow is very poorly understood. This lack of understanding persists due to the fact that the typical “steady state” case (i.e. the only one readily amenable to observation), has its own inbuilt forcing mechanism, in the form of the aforementioned acoustic feedback process. This inherent self-forcing means that the underlying “natural” stability of the jet cannot be directly inferred from the mean state of this “forced” flow. The lack of fundamental understanding regarding the nature and stability characteristics of the UIJ makes prediction of these flows nearly impossible. Without predictive ability, dynamic control of the flow in its many diverse industrial applications is highly unreliable.<br>High fidelity large eddy simulations (LES) to allow for an in-depth investigation into the nature and dynamical response characteristics of UIJ flows are performed. <br>The datasets of large-eddy simulation of under-expanded supersonic impinging jets funded by the Australian Research Council are stored on this storage allocation
DOI: 10.26180/18583766
title: PROSPER protease substrates and cleavage site data

description: The collection consists of a biomedical database presented to the community via a web interface (“PROSPER”). The web interface provides the ability for users to perform in silico prediction of protease substrates and their cleavage sites for twenty-four different protease types, covering four major protease families; Aspartic (A), Cysteine (C), Metallo (M) and Serine (S). Within only one and a half years since its inception, PROSPER has attracted more than 4,000 unique visitors worldwide from 66 countries and 5,000 job submissions. As recognition of these important contributions to the protease biology field, PROSPER has been highlighted as a significant bioinformatic tool at the official website of the International Proteolysis Society (IPS).
DOI: 10.26180/18583766.v1
title: PROSPER protease substrates and cleavage site data

description: The collection consists of a biomedical database presented to the community via a web interface (“PROSPER”). The web interface provides the ability for users to perform in silico prediction of protease substrates and their cleavage sites for twenty-four different protease types, covering four major protease families; Aspartic (A), Cysteine (C), Metallo (M) and Serine (S). Within only one and a half years since its inception, PROSPER has attracted more than 4,000 unique visitors worldwide from 66 countries and 5,000 job submissions. As recognition of these important contributions to the protease biology field, PROSPER has been highlighted as a significant bioinformatic tool at the official website of the International Proteolysis Society (IPS).
DOI: 10.26180/14676108
title: The Proteome Browser

description: For access to this conversation, please contact: Ralf Schittenhelm<br>This collection has been moved to the Monash University Research Data Archive. <br>This system delivers a comprehensive data integration and analysis software tool that provides a snapshot of our current proteomic knowledge in a gene-centric, chromosome format and will ultimately assist in analysing normal biological function, and the study of human disease. The Proteome Browser integrates various types of protein related data from a number of data sources into a report matrix of various hierarchical data types for each gene/protein within a gene set. Within the matrix, a traffic light system is used to indicate the quality of data available for a particular data type and protein combination. The underlying contributing information is available for further analyses using drill down/through capabilities. Filtration and summary tools are also provided through the web interface.
DOI: 10.26180/14676108.v1
title: The Proteome Browser

description: For access to this conversation, please contact: Ralf Schittenhelm<br>This collection has been moved to the Monash University Research Data Archive. <br>This system delivers a comprehensive data integration and analysis software tool that provides a snapshot of our current proteomic knowledge in a gene-centric, chromosome format and will ultimately assist in analysing normal biological function, and the study of human disease. The Proteome Browser integrates various types of protein related data from a number of data sources into a report matrix of various hierarchical data types for each gene/protein within a gene set. Within the matrix, a traffic light system is used to indicate the quality of data available for a particular data type and protein combination. The underlying contributing information is available for further analyses using drill down/through capabilities. Filtration and summary tools are also provided through the web interface.
DOI: 10.5281/zenodo.7039662
title: Data Repository for Peatland Organic Matter Quality Varies with Latitude as Confirmed from FTIR and Ramped Pyrolysis Oxidation

description: <strong>Data information:</strong> This is the dataset for a study by Sparrow et al. comparing the organic matter quality of peat cores in four climates (tropical, subtropical, boreal, and polar) using multiple analytical approaches. Data for 16 samples (samples from 4 depths in each of the 4 cores) are presented in the study and all relevant and necessary data are published in this repository: 14C content and d13C results for 1) bulk and 2) ramped pyrolysis oxidation splits and standard materials Elemental analysis results (%C, %N, C:N) FTIR spectra from 650-4000 cm-1 Ramped pyrolysis oxidation run data (time, sample oven temperature, baseline-corrected CO2 concentration) <strong>Sample information:</strong> The Tropical peat samples were collected from a core obtained in November 2011, “MDM11-2A,” (4.3727°N, 114.3550°E) in the Ulu Mendaram Conservation Area in the Belait District of Brunei Darussalem, northwest Borneo. The Subtropical peat samples were collected from the “Lox3” core (26.597°N, 80.357°W) in October 2015 from the Loxahatchee National Wildlife Refuge, Florida. The Boreal peat samples were collected from the “T3F” core (47.5063°N, 93.4527°W) from S1 Bog in July 2012 from the Marcell Experimental Forest, near Grand Rapids, Minnesota. The Polar peat samples were collected from the “CPP” core (68.3531°N, 19.0473°E) in June 2012 from Stordalen Mire, a peat plateau underlain by discontinuous permafrost near Abisko, Sweden.
DOI: 10.5281/zenodo.7039661
title: Data Repository for Peatland Organic Matter Quality Varies with Latitude as Confirmed from FTIR and Ramped Pyrolysis Oxidation

description: <strong>Data information:</strong> This is the dataset for a study by Sparrow et al. comparing the organic matter quality of peat cores in four climates (tropical, subtropical, boreal, and polar) using multiple analytical approaches. Data for 16 samples (samples from 4 depths in each of the 4 cores) are presented in the study and all relevant and necessary data are published in this repository: 14C content and d13C results for 1) bulk and 2) ramped pyrolysis oxidation splits and standard materials Elemental analysis results (%C, %N, C:N) FTIR spectra from 650-4000 cm-1 Ramped pyrolysis oxidation run data (time, sample oven temperature, baseline-corrected CO2 concentration) <strong>Sample information:</strong> The Tropical peat samples were collected from a core obtained in November 2011, “MDM11-2A,” (4.3727°N, 114.3550°E) in the Ulu Mendaram Conservation Area in the Belait District of Brunei Darussalem, northwest Borneo. The Subtropical peat samples were collected from the “Lox3” core (26.597°N, 80.357°W) in October 2015 from the Loxahatchee National Wildlife Refuge, Florida. The Boreal peat samples were collected from the “T3F” core (47.5063°N, 93.4527°W) from S1 Bog in July 2012 from the Marcell Experimental Forest, near Grand Rapids, Minnesota. The Polar peat samples were collected from the “CPP” core (68.3531°N, 19.0473°E) in June 2012 from Stordalen Mire, a peat plateau underlain by discontinuous permafrost near Abisko, Sweden.
DOI: 10.5281/zenodo.7039823
title: MoMA Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5281/zenodo.7039822
title: MoMA Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.26180/18516266
title: Store.Synchrotron

description: Store.Synchrotron allows the Australian Synchrotron research community to easily share their Macromolecular Beamline (MX1 / MX2) data with collaborators and the world while providing them with safe, long term data storage and an analysis platform. Synchrotron users can log in to find their data securely stored, downloadable and searchable with collaborators. Researchers will be able to attach a DOI link to their data and open it for citation in their research publications. Since Store.Synchrotron runs on the NeCTAR research cloud, it benefits from close connections to analysis platforms such as the Characterisation Virtual Lab and high performance computing resources such as MASSIVE. Store.Synchrotron is built on MyTardis – an open-source online data management application.