cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10410541
title: The Arabidopsis Leaf Quantitative Atlas: a cellular and subcellular mapping through unified data integration

description: Additional data accompanying Tolleter et. al. The Arabidopsis Leaf Quantitative Atlas: a cellular and subcellular mapping through unified data integration Quantitative Plant Biology. 2024.

Quantitative analyses and models are required to connect a plant's cellular organization with its metabolism. However, quantitative data are often scattered over multiple studies, and finding such data and converting them into useful information is time consuming. Consequently, there is a need to centralize the available data and to highlight the remaining knowledge gaps. Here, we present a step-by-step approach to manually extract quantitative data from various information sources, and to unify the data format. First, data from Arabidopsis leaf were collated, checked for consistency and correctness, and curated by cross-checking sources. Second, quantitative data were combined by applying calculation rules. They were then integrated into a unique comprehensive, referenced, modifiable and reusable data compendium representing an Arabidopsis reference leaf. This atlas contains the metrics of the 15 cell types found in leaves at the cellular and subcellular levels.

Table_S1_2023_12_12.xlsx: All supplementary data relating to the Arabidopsis Leaf Quantitative Atlas

ChloroKB data export.ipynb: A jupyter notebook containing code to convert Quantitative_data_2023_12_13.xlsx (from http://umr5558-chlorokb.univ-lyon1.fr:8080/ChloroKB_Grails/static/images/csv/Quantitative_data.csv) into Table_S5_2023_12_13.xlsx.

Variable_conversion_table.xlsx ,Localisation_conversion_table.xlsx, Localisation_conversion_table_isolated_organelles.xlsx: Conversion factors required by ChloroKB data export.ipynb for unit conversion.
DOI: 10.5281/zenodo.10421814
title: D2.1 MIRACA Climate Hazard Database

description: The MIRACA Climate Hazard Database is a collection of meteorological, geological and hidrological hazards datasets and indicators at a Pan-European and global level. This dabase is the Deliverable 1.2 of the MIRACA Project (Multi-hazard infrastructure Risk Assessment for Climate Adaptation).
DOI: 10.5281/zenodo.10421815
title: D2.1 MIRACA Climate Hazard Database

description: The MIRACA Climate Hazard Database is a collection of meteorological, geological and hidrological hazards datasets and indicators at a Pan-European and global level. This dabase is the Deliverable 1.2 of the MIRACA Project (Multi-hazard infrastructure Risk Assessment for Climate Adaptation).
DOI: 10.25919/9ydw-0e04
title: Parkes observations for project P1226 semester 2023OCTS_11

description: Fast Radio Bursts(FRBs) are often proposed as useful cosmological probes, however much work is needed to better understand the foreground environment that it propgates through, such as the Galactic ISM and Milky Way Halo. We propose to observe three satellite dwarf spheroidal galaxies of the Milky Way to search for FRBs and pulsars. We plan to take advantage of the new CryoPAF's wide field of view to survey high stellar density dwarf satellite galaxies with substantial angular sizes: Fornax, Sculptor and Sagittarius II. Detections of FRBs and pulsars will allow us to measure the Circumgalactic Medium contribution to FRB dispersion and also the dark matter halos of these dwarf galaxies.
DOI: 10.5281/zenodo.10410741
title: WheatGenomicsSLKG: Wheat Genomics Scientific Literature Knowledge Graph

description: The Wheat Genomics Scientific Literature Knowledge Graph (WheatGenomicsSLKG) is a FAIR knowledge graph that exploits the Semantic Web technologies to integrate information about Named Entities (NE) extracted automatically from a corpus of PubMed scientific papers on wheat genetics and genomics.

Code an details: https://github.com/Wimmics/WheatGenomicsKG
DOI: 10.5281/zenodo.10410742
title: WheatGenomicsSLKG: Wheat Genomics Scientific Literature Knowledge Graph

description: The Wheat Genomics Scientific Literature Knowledge Graph (WheatGenomicsSLKG) is a FAIR knowledge graph that exploits the Semantic Web technologies to integrate information about Named Entities (NE) extracted automatically from a corpus of PubMed scientific papers on wheat genetics and genomics.

Code an details: https://github.com/Wimmics/WheatGenomicsKG
DOI: 10.21227/65m5-rr72
title: RealWaste

description: The accurate classification of landfill waste diversion plays a critical role in efficient waste management practices. Traditional approaches, such as visual inspection, weighing and volume measurement, and manual sorting, have been widely used but suffer from subjectivity, scalability, and labour requirements. In contrast, machine learning approaches, particularly Convolutional Neural Networks (CNN), have emerged as powerful deep learning models for waste detection and classification. This paper analyses VGG-16, InceptionResNetV2, DenseNet121, Inception V3, and MobileNetV2 models to classify real-life waste when trained on pristine and unadulterated materials, versus samples collected at a landfill site. When training on DiversionNet, the unadulterated material dataset with labels required for landfill modelling, classification accuracy was limited to 49.69% in the real environment. Using real-world samples in the newly formed RealWaste dataset showed that practical applications for deep learning in waste classification are possible, with Inception V3 reaching 89.19% classification accuracy on the full spectrum of labels required for accurate modelling.
DOI: 10.6084/m9.figshare.24881694
title: EEG datasets of a male dyad acquired with wet EEG caps during a table tennis sessions.

description: Each dataset contains raw (unprocessed) EEG signals synchronously acquired with ECG and respiration signals of two male volunteers involved in a table tennis paradigm. In each dataset there are sessions of cooperative, competitive and individual playing.
DOI: 10.6084/m9.figshare.24881694.v1
title: EEG datasets of a male dyad acquired with wet EEG caps during a table tennis playing.

description: Each dataset contains raw (unprocessed signals) EEG signals synchronously acquired with ECG and respiration signals of two male volunteers involved in a table tennis paradigm. In each dataset there are session of cooperative, competitive and individual playing.
DOI: 10.5281/zenodo.10390309
title: Stable isotope ratio of methane in ambient air

description: Measurement of isotope ratio in atmospheric methane at the tall tower observatory in Heathfield, East Sussex, at 100 magl.

The 19ENV05 STELLAR project has received funding from the EMPIR programme co-financed by the participating states and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.10390310
title: Stable isotope ratio of methane in ambient air

description: Measurement of isotope ratio in atmospheric methane at the tall tower observatory in Heathfield, East Sussex, at 100 magl.

The 19ENV05 STELLAR project has received funding from the EMPIR programme co-financed by the participating states and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.10422552
title: Stable isotope ratio of methane in ambient air

description: Measurement of isotope ratio in atmospheric methane at the tall tower observatory in Heathfield, East Sussex, at 100 magl.

The 19ENV05 STELLAR project has received funding from the EMPIR programme co-financed by the participating states and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.24881568.v1
title: EEG datasets of a female dyad acquired with wet EEG caps during a table tennis playing

description: Each dataset contains raw (unprocessed signals) EEG signals synchronously acquired with ECG and respiration signals of two female volunteers involved in a table tennis paradigm. In each dataset there are session of cooperative, competitive and individual playing.
DOI: 10.6084/m9.figshare.24881568
title: EEG datasets of a female dyad acquired with wet EEG caps during a table tennis sessions

description: Each dataset contains raw (unprocessed) EEG signals synchronously acquired with ECG and respiration signals of two female volunteers involved in a table tennis paradigm. In each dataset there are sessions of cooperative, competitive and individual playing.
DOI: 10.5281/zenodo.10027825
title: EFSA Opinion Update of risks for animal health related to the presence of ochratoxin A (OTA) in feed: Annexes on Occurrence data in feed submitted to EFSA

description: Annexes to EFSA's Update Opinion on the risks for animal health related to the presence of OTA in feed. Annex B includes the occurrence data in feed extracted from EFSA Data Warehouse for the period from 2012 to 2021. Annex C contains the occurrence data expressed in dry matter following analysis and cleansing of the dataset as detailed in EFSA's Opinion. Annex D lists the samples of 'Compound feed' and other feed materials except forage expressed in whole weight. The number of samples across some of the feed categories differ among the two annex C and D because in few cases the moisture content was not reported (and no assumption on the moisture could be done), precluding the conversion of the analytical results to either whole weight or dry matter.  
description: EU; eng; csv; FEEDCO@efsa.europa.eu;
DOI: 10.5281/zenodo.10027826
title: EFSA Opinion Update of risks for animal health related to the presence of ochratoxin A (OTA) in feed: Annexes on Occurrence data in feed submitted to EFSA

description: Annexes to EFSA's Update Opinion on the risks for animal health related to the presence of OTA in feed. Annex B includes the occurrence data in feed extracted from EFSA Data Warehouse for the period from 2012 to 2021. Annex C contains the occurrence data expressed in dry matter following analysis and cleansing of the dataset as detailed in EFSA's Opinion. Annex D lists the samples of 'Compound feed' and other feed materials except forage expressed in whole weight. The number of samples across some of the feed categories differ among the two annex C and D because in few cases the moisture content was not reported (and no assumption on the moisture could be done), precluding the conversion of the analytical results to either whole weight or dry matter.  
description: EU; eng; csv; FEEDCO@efsa.europa.eu;
DOI: 10.5281/zenodo.10419825
title: ppp

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description: This work was supported by th
DOI: 10.5281/zenodo.10419851
title: bhkhn

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description: This work was supported by th
DOI: 10.5281/zenodo.10420448
title: Perce

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description: This work was supported by th
DOI: 10.5281/zenodo.10401280
title: jjj

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description: This work was supported by th
DOI: 10.5281/zenodo.10420453
title: Pzt

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description: This work was supported by th
DOI: 10.5281/zenodo.10422541
title: Perce

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description: This work was supported by th
DOI: 10.5281/zenodo.7559168
title: Perce

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description: This work was supported by th
DOI: 10.5281/zenodo.7559169
title: jk5

description: Distorted Omnidirectional Image Database (DOID) offers a set of 374 distorted images in total (360° field of view).


...
description: This work was supported by the BUT project no. FEKT-S-20-6325.
DOI: 10.34740/kaggle/dsv/2490563
title: Long-term Thermal Drift Dataset
DOI: 10.18712/nsd-nsd2818-2-v1
title: Hug the Streets - Growing a multifunctional urban tree-parking infrastructure, 2016 - Surveydata

description: 'Hug the Streets' proposes and prepares the ground for a transition from car to people-centred urban design and planning, by examining if and how multifunctional city-wide green infrastructures can make for more liveable streets. Using the symbolic power of trees as change agents - parking trees where cars are parked today, we aim to make streets more liveable. Tackling demographic and climatic challenges that Nordic cities will be facing in the coming decades, we propose green multifunctional infrastructure solutions. We will: explore the possibilities and the value of integrating above and below ground systems for energy, water, and soft mobility, with natural ecosystems; propose integrated concepts; and enable relevant stakeholders to materialise the proposed solutions.

In order to tackle the complex and interrelated challenges to realise this idea, we shall make use of an interdisciplinary and holistic, stakeholder-driven approach, combining perspectives from landscape architecture, engineering, participatory and sustainable design, political science, arboriculture and social anthropology. Concentrating on selected Norwegian cities, we will work at three intertwined scales: the human, the street and the city scale. At the human scale, we will explore how to conceptualise urban infrastructures and map and involve the stakeholders that develop, maintain and use them in co-creating liveable streets. At the street scale, we will map practices and interests, conflicts and synergies, to identify opportunities for fostering change, and to develop and evaluate a portfolio of concepts for multifunctional green infrastructures. At the city scale, we will explore the value of a city-wide rollout of such infrastructures, and develop and equip stakeholders with the means for fostering the transition towards it.

This project consists of both anonymized transcripts of interviews and survey data. This study contains the Survey data.
DOI: 10.34740/kaggle/dsv/2870398
title: Thermal Mannequin Fall Image Dataset
DOI: 10.34740/kaggle/dsv/5183520
title: UNet Texture to Maps Pretrained Models
DOI: 10.17031/64d4a572987cb.7
title: Testing123_testing456_testing789_new123_dassh123
title: adding a newer subtitle

description: testing123
description: testing123
DOI: 10.5281/zenodo.10019731
title: Data for publication "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity"

description: Here, the data is stored for the article "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity" which is currently submitted but not accepted.
it was not possible to include all data in this repository. the confocal tilescan images used for WPB and Cell morphology quantification and images used for the migration assay were too many and too large in size to include. However, this data is available upon request.
DOI: 10.5281/zenodo.10019732
title: Data for publication "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity"

description: Here, the data is stored for the article "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity" which is currently submitted but not accepted.
it was not possible to include all data in this repository. the confocal tilescan images used for WPB and Cell morphology quantification and images used for the migration assay were too many and too large in size to include. However, this data is available upon request.
DOI: 10.5281/zenodo.10422769
title: Data for publication "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity"

description: Here, the data is stored for the article "Transcriptional and functional profiling of Endothelial Colony Forming Cells identifies inflammation and endothelial to mesenchymal transition as drivers for phenotypic heterogeneity" which is currently submitted but not accepted.
it was not possible to include all data in this repository. the confocal tilescan images used for WPB and Cell morphology quantification and images used for the migration assay were too many and too large in size to include. However, this data is available upon request.
DOI: 10.6084/m9.figshare.24874581
title: " The way they treat us reflects how they see us”: aspects contributing to social inequities in people with visual disability, a qualitative study

description: People with visual disabilities encounter multiple barriers in their life experiences, placing them at a social disadvantage compared to sighted individuals. These barriers manifest in limited access to and exercise of their rights, situations perceived as unfair or inequitable. This research aimed to understand how inequities are shaped by what individuals with visual disabilities perceive as fair/unfair and their expression regarding access to material goods and services. An instrumental ethnographic case study was conducted within a community-based institution in Bucaramanga, Colombia, focusing on rehabilitation and social inclusion processes for individuals with visual impairments and their families. Twenty-two semi-structured interviews and 37 participant observation exercises were carried out and documented in a field diary. The emerging categories were: 1. Family, obstacle or facilitator; 2. Visual disability is a label, it is in the environment, in the way society recognises it; and 3. From social exclusion to willing inclusion. Our results indicate that inequities are configured primarily in relation to the way in which others close to people signify and act towards them, constituting scenarios of cultural (non-recognition) and economic (redistribution) injustice. Part of the meanings and practices are based on the view of the body outside the canon of normality and the non-recognition of full citizenship, conditioning discriminatory (charity and infantilisation), stigmatising and excluding practices. The inclusion of this population group is mediated by the sensitivity of the sighted other, a situation that conditions that the access and full enjoyment of rights is a matter of will.
DOI: 10.6084/m9.figshare.24874581.v1
title: " The way they treat us reflects how they see us”: aspects contributing to social inequities in people with visual disability, a qualitative study

description: People with visual disabilities encounter multiple barriers in their life experiences, placing them at a social disadvantage compared to sighted individuals. These barriers manifest in limited access to and exercise of their rights, situations perceived as unfair or inequitable. This research aimed to understand how inequities are shaped by what individuals with visual disabilities perceive as fair/unfair and their expression regarding access to material goods and services. An instrumental ethnographic case study was conducted within a community-based institution in Bucaramanga, Colombia, focusing on rehabilitation and social inclusion processes for individuals with visual impairments and their families. Twenty-two semi-structured interviews and 37 participant observation exercises were carried out and documented in a field diary. The emerging categories were: 1. Family, obstacle or facilitator; 2. Visual disability is a label, it is in the environment, in the way society recognises it; and 3. From social exclusion to willing inclusion. Our results indicate that inequities are configured primarily in relation to the way in which others close to people signify and act towards them, constituting scenarios of cultural (non-recognition) and economic (redistribution) injustice. Part of the meanings and practices are based on the view of the body outside the canon of normality and the non-recognition of full citizenship, conditioning discriminatory (charity and infantilisation), stigmatising and excluding practices. The inclusion of this population group is mediated by the sensitivity of the sighted other, a situation that conditions that the access and full enjoyment of rights is a matter of will.
DOI: 10.5281/zenodo.3730934
title: 12S metabarcoding reference data from the Research Institute for Nature and Forest (INBO)

description: This dataset contains metabarcoding reference data with 12S sequences from fish and other vertebrates for Teleo and Riaz primers suited for use with the OBITools package. <strong>Files</strong><br> - <strong>all_seqs_INBO_riaz_amplified.fasta</strong>: reference data for Riaz marker<br> - <strong>all_seqs_INBO_Valentini_teleo_amplified.fasta</strong>: reference data for Teleo marker<br> - <strong>species_riaz.csv</strong>: species for which reference data is included in Riaz dataset<br> - <strong>species_teleo.csv</strong>: species for which reference data is included in Teleo dataset
description: {"references": ["Boyer, F, Mercier, C, Bonin, A, Le Bras, Y, Taberlet, P, & Coissac, E. (2016). Obitools: A Unix-Inspired Software Package for DNA Metabarcoding. Molecular Ecology Resources, 16(1), 176-82. doi: 10.1111/1755-0998.12428", "Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P.F., \u2026 & Gaboriaud C. (2016). Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Molecular Ecology 25(4), 929-942. doi: org/10.1111/mec.13428", "Riaz, T., Shehzad, W., Viari, A., Pompanon, F., Taberlet, P., & Coissac, E. (2011). ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis. Nucleic acids research, 39(21), e145. doi: 10.1093/nar/gkr732"]}
DOI: 10.5517/ccdc.csd.cc2gy8d3
title: CCDC 2292245: Experimental Crystal Structure Determination

description: Related Article: Weili Shang|2023|CSD Communication|||
description: Related Article: Weili Shang, Yuan Wang, Xuefeng Zhu, Tongling Liang, Cong Du, Junfeng Xiang, Minghua Liu|2023|J.Am.Chem.Soc.|145|27639|doi:10.1021/jacs.3c09461
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: 10.6084/m9.figshare.24865479
title: Data 20_40.xlsx

description: Data
DOI: 10.6084/m9.figshare.24865479.v2
title: Data 20_40.xlsx

description: Data
DOI: 10.6084/m9.figshare.24865479.v1
title: Data 20_40.xlsx

description: Data
DOI: 10.5517/ccdc.csd.cc2gyfvq
title: CCDC 2292414: Experimental Crystal Structure Determination

description: Related Article: Kai D. Knight, Megan E. Fieser |2023|Inorg.Chem.Front.|11|298|doi:10.1039/D3QI01833D
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.cc2gyn58
title: CCDC 2292610: Experimental Crystal Structure Determination

description: Related Article: Wei Gong, Yi Xie, Akihito Yamano, Sho Ito, Xianhui Tang, Eric W. Reinheimer, Christos D. Malliakas, Jinqiao Dong, Yong Cui, Omar K. Farha|2023|J.Am.Chem.Soc.|145|26890|doi:10.1021/jacs.3c09648
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.