cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22663924
title: All data

description: Data file with variables produced by simulations in main text in <strong>"The impact of small groups on pre- and postcopulatory sexual selection in polyandrous populations"</strong>. Each row reprsents a value for one population. Data includes: <br> starting_network = Identity of the starting network. gsize = Group size of a population. polyandry = Mean female polyandry of a population. scic = Sperm Competition Intenisty Correlation (SCIC) of a population. ScovMP = Standardised covariance between male mating success (M) and paternity share (P) of a population. Is = Standardised variance in male mating success (Opprtunity for Sexual Selection). Uses population variance not sample variance. STDB = Mean standardised male Bateman gradient. jones = Jones Index of a population.
DOI: 10.6084/m9.figshare.22663924.v1
title: All data

description: Data file with variables produced by simulations in main text in <strong>"The impact of small groups on pre- and postcopulatory sexual selection in polyandrous populations"</strong>. Each row reprsents a value for one population. Data includes: <br> starting_network = Identity of the starting network. gsize = Group size of a population. polyandry = Mean female polyandry of a population. scic = Sperm Competition Intenisty Correlation (SCIC) of a population. ScovMP = Standardised covariance between male mating success (M) and paternity share (P) of a population. Is = Standardised variance in male mating success (Opprtunity for Sexual Selection). Uses population variance not sample variance. STDB = Mean standardised male Bateman gradient. jones = Jones Index of a population.
DOI: 10.5519/qd.6rbaz3ej
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7848172
title: Root litter quality incubation experiment

description: The dataset contains data of a 2-year incubation experiment of C4 roots litter added to a C3 soil. The soil was sampled after 6, 12 and 24 months and fractionated into particulate organic carbon (POC) and mineral associated organic carbon (MAOC) and each fraction (plus the bulk soil) was measured for total carbon content as well as the abundance of the stable isotope 13C, to distinguish between old (native) and new (added) carbon. There are two files: One contains the raw data with measured C contents, delta 13C values, fraction weights and the subsequently calculated amounts of new and old carbon in all fractions. The second file is related to the first, but contains the final dataset which was used to produce the graphs and tables in the paper.
DOI: 10.5281/zenodo.7848171
title: Root litter quality incubation experiment

description: The dataset contains data of a 2-year incubation experiment of C4 roots litter added to a C3 soil. The soil was sampled after 6, 12 and 24 months and fractionated into particulate organic carbon (POC) and mineral associated organic carbon (MAOC) and each fraction (plus the bulk soil) was measured for total carbon content as well as the abundance of the stable isotope 13C, to distinguish between old (native) and new (added) carbon. There are two files: One contains the raw data with measured C contents, delta 13C values, fraction weights and the subsequently calculated amounts of new and old carbon in all fractions. The second file is related to the first, but contains the final dataset which was used to produce the graphs and tables in the paper.
DOI: 10.6084/m9.figshare.22663975
title: VMI BDT dataset

description: Datasets for MIH VMI BDT project
DOI: 10.6084/m9.figshare.22663975.v1
title: VMI BDT dataset

description: Datasets for MIH VMI BDT project
DOI: 10.6084/m9.figshare.22663963
title: Mukwevho Dalu and Chidawanyika data final.xlsx

description: Arthropods collected at the African savanna
DOI: 10.6084/m9.figshare.22663963.v1
title: Mukwevho Dalu and Chidawanyika data final.xlsx

description: Arthropods collected at the African savanna
DOI: 10.5281/zenodo.7845138
title: Training Data for "Binning of metagenomic sequencing data" tutorial

description: <strong>Metagenomics is the study of genetic material recovered directly from environmental samples, such as soil, water, or gut contents, without the need for isolation or cultivation of individual organisms. Metagenomics binning is a process used to classify DNA sequences obtained from metagenomic sequencing into discrete groups, or bins, based on their similarity to each other</strong>. The goal of metagenomics binning is to assign the DNA sequences to the organisms or taxonomic groups that they originate from, allowing for a better understanding of the diversity and functions of the microbial communities present in the sample. This is typically achieved through computational methods that use sequence similarity, composition, and other features to group the sequences into bins. There are two main types of metagenomics binning: <strong>reference-based</strong> and <strong>de novo</strong>. <strong>reference-based binning</strong> involves aligning the sequences to a database of known genomes or reference sequences <strong>de novo binning</strong> involves clustering the sequences based on similarity without prior knowledge of the organisms or reference sequences present in the sample. Both methods have their strengths and limitations, and researchers often use a combination of approaches to improve the accuracy of their binning results. Metagenomics binning is an important tool for understanding the functional potential of microbial communities in various environments and has applications in fields such as biotechnology, environmental science, and human health. In this tutorial, we will learn how to run metagenomic binning tools and evaluate the quality of the results. In order to do that, we will use data from the study: Temporal shotgun metagenomic dissection of the coffee fermentation ecosystem and MetaBAT2 algorithm. For an in-depth analysis of the structure and functions of the coffee microbiome, a temporal shotgun metagenomic study (six time points) was performed. The six samples have been sequenced with Illumina MiSeq utilizing whole genome sequencing. Based on the 6 original dataset of the coffee fermentation system, we generated mock datasets for this tutorial.
DOI: 10.5281/zenodo.7845137
title: Training Data for "Binning of metagenomic sequencing data" tutorial

description: <strong>Metagenomics is the study of genetic material recovered directly from environmental samples, such as soil, water, or gut contents, without the need for isolation or cultivation of individual organisms. Metagenomics binning is a process used to classify DNA sequences obtained from metagenomic sequencing into discrete groups, or bins, based on their similarity to each other</strong>. The goal of metagenomics binning is to assign the DNA sequences to the organisms or taxonomic groups that they originate from, allowing for a better understanding of the diversity and functions of the microbial communities present in the sample. This is typically achieved through computational methods that use sequence similarity, composition, and other features to group the sequences into bins. There are two main types of metagenomics binning: <strong>reference-based</strong> and <strong>de novo</strong>. <strong>reference-based binning</strong> involves aligning the sequences to a database of known genomes or reference sequences <strong>de novo binning</strong> involves clustering the sequences based on similarity without prior knowledge of the organisms or reference sequences present in the sample. Both methods have their strengths and limitations, and researchers often use a combination of approaches to improve the accuracy of their binning results. Metagenomics binning is an important tool for understanding the functional potential of microbial communities in various environments and has applications in fields such as biotechnology, environmental science, and human health. In this tutorial, we will learn how to run metagenomic binning tools and evaluate the quality of the results. In order to do that, we will use data from the study: Temporal shotgun metagenomic dissection of the coffee fermentation ecosystem and MetaBAT2 algorithm. For an in-depth analysis of the structure and functions of the coffee microbiome, a temporal shotgun metagenomic study (six time points) was performed. The six samples have been sequenced with Illumina MiSeq utilizing whole genome sequencing. Based on the 6 original dataset of the coffee fermentation system, we generated mock datasets for this tutorial.
DOI: 10.4121/22284334
title: Data underlying the PhD dissertation 'Electrochemical CO2 conversion with a flow-through copper hollow fibre - A process parameter evaluation'

description: Data underlying the PhD dissertation 'Electrochemical CO2 conversion with a flow-through copper hollow fibre - A process parameter evaluation'<br>The dataset contains three zip-files:The electrolyte data.zip involves the study of the effect of the electrolyte identity (NaHCO<sub>3</sub>, KHCO<sub>3</sub>, CsHCO<sub>3</sub>, K<sub>2</sub>SO<sub>4</sub>, and KH<sub>2</sub>PO<sub>4 </sub>in water) on the performance of a copper hollow fibre electrode acting as CO<sub>2</sub> conversion electrocatalyst, discussed in Chapter 3 of the dissertation.Data chapter 4.zip involves the study of the ability of copper hollow fibre electrodes to convert CO2 in ethylene, discussed in Chapter 4 of the disseration.Data Table 5.1.zip provides the data underlying Table 5.1 of the dissertation.
DOI: 10.4121/22284334.v1
title: Data underlying the PhD dissertation 'Electrochemical CO2 conversion with a flow-through copper hollow fibre - A process parameter evaluation'

description: Data underlying the PhD dissertation 'Electrochemical CO2 conversion with a flow-through copper hollow fibre - A process parameter evaluation'<br>The dataset contains three zip-files:The electrolyte data.zip involves the study of the effect of the electrolyte identity (NaHCO<sub>3</sub>, KHCO<sub>3</sub>, CsHCO<sub>3</sub>, K<sub>2</sub>SO<sub>4</sub>, and KH<sub>2</sub>PO<sub>4 </sub>in water) on the performance of a copper hollow fibre electrode acting as CO<sub>2</sub> conversion electrocatalyst, discussed in Chapter 3 of the dissertation.Data chapter 4.zip involves the study of the ability of copper hollow fibre electrodes to convert CO2 in ethylene, discussed in Chapter 4 of the disseration.Data Table 5.1.zip provides the data underlying Table 5.1 of the dissertation.
DOI: 10.17031/643faefbc9e82
title: 2005 English Nature (EN) Thanet Coast, intertidal monitoring
title: Thanet coast Special Area of conservation: 2005 intertidal monitoring

description: Report following a study of the interidal zone of the Thanet coast Special Area of Conservation (SAC).  The study aimed to monitor and assess the conditions of the reefs and caves in the Thanet coast SAC. In addititon, specific objectives of the study included using the methodology from previous studies, GIS mapping of biotopes and comparison of results with those of previous surveys (in 1997 and 2001).
DOI: 10.5281/zenodo.6365137
title: The datasets generated to plot the Figure 2 to Figure 9.

description: (1) The Terrestrial Hybrid Repeated Gravity Observation data is applied from Data Sharing Infrastructure of National Earthquake Data Center(http://data.earthquake.cn).Only Chinese language link(https://data.earthquake.cn/datashare/report.shtml?PAGEID=datasourcelist&dt=40280d0453e5add30153e5ee3dc1001f; https://data.earthquake.cn/datashare/report.shtml?PAGEID=datasourcelist&dt=40280d0453e5add30153e5f03dd10022). Data can be requested through the email application form or the offline application form. (2) Earthquake catalog data comes from the end of China Seismic Experimental Site webpage (http://www.cses.ac.cn/sjcp/ggmx/2021/132.shtml). Click on "cata2019".<br> (3) <sup>3</sup>He/<sup>4</sup>He release data is downloaded from the supplementary data of published article. (https://github.com/mzhangrocks/Plateau-Growth) We have cited this article in this paper.<br> (4) The 3-D P- and S-wave community velocity model of the crust and uppermost mantle in southwest China is downloaded from the supplementary data of published article. (https://github.com/liuyingustc/SWChinaCVM),(SWChinaCVM-1.0, DOI:10.12093/02md.02.2019.01.v1). We have cited this article in this paper.
DOI: 10.5281/zenodo.6365136
title: The datasets generated to plot the Figure 2 to Figure 9.

description: (1) The Terrestrial Hybrid Repeated Gravity Observation data is applied from Data Sharing Infrastructure of National Earthquake Data Center(http://data.earthquake.cn).Only Chinese language link(https://data.earthquake.cn/datashare/report.shtml?PAGEID=datasourcelist&dt=40280d0453e5add30153e5ee3dc1001f; https://data.earthquake.cn/datashare/report.shtml?PAGEID=datasourcelist&dt=40280d0453e5add30153e5f03dd10022). Data can be requested through the email application form or the offline application form. (2) Earthquake catalog data comes from the end of China Seismic Experimental Site webpage (http://www.cses.ac.cn/sjcp/ggmx/2021/132.shtml). Click on "cata2019".<br> (3) <sup>3</sup>He/<sup>4</sup>He release data is downloaded from the supplementary data of published article. (https://github.com/mzhangrocks/Plateau-Growth) We have cited this article in this paper.<br> (4) The 3-D P- and S-wave community velocity model of the crust and uppermost mantle in southwest China is downloaded from the supplementary data of published article. (https://github.com/liuyingustc/SWChinaCVM),(SWChinaCVM-1.0, DOI:10.12093/02md.02.2019.01.v1). We have cited this article in this paper.
DOI: 10.57806/i1ko3te4
title: Open Sensor Data for Rail 2023

description: ![data acquisition platform and overview of sequences](https://cdn.dzsf.eu/osdar23/img/osdar23.png) ## Project Info ![DZSF](https://cdn.dzsf.eu/osdar23/img/dzsf_200.png) ![Digitale Schiene Deutschland](https://cdn.dzsf.eu/osdar23/img/dsd_200.png) ![FusionSystems](https://cdn.dzsf.eu/osdar23/img/fusionsystems_200.png) The Open Sensor Data for Rail 2023 (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) has been created in a joint research project by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de), [Digitale Schiene Deutschland / DB Netz AG](http://digitale-schiene-deutschland.de), and [FusionSystems GmbH](https://www.fusionsystems.de). Research report and Labeling Guide can be obtained from the [DZSF website](https://www.dzsf.bund.de/SharedDocs/Standardartikel/DZSF/Projekte/Projekt_70_Reale_Datensaetze.html). The data set consists of 45 sequences of annotated multi-sensor data (color camera, infrared camera, lidar, radar, localization, IMU). Data have been collected on different railway tracks in Hamburg, Germany. ## License Info The Open Sensor Data for Rail 2023 (OSDaR23, [10.57806/9mv146r0](https://doi.org/10.57806/9mv146r0)) is published by the [German Centre for Rail Traffic Research at the Federal Railway Authority (DZSF)](https://www.dzsf.bund.de). Annotation data (file type `.json`) are published under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/legalcode). Sensor data (file types `.png`, `.pcd`, and `.csv`) are published under [CC BY-SA 3.0 de](https://creativecommons.org/licenses/by-sa/3.0/de/legalcode). ## Further Info The data set can be used in Python with the [RailLabel](https://github.com/DSD-DBS/raillabel) package published by DB Netz AG. The data set can be viewed, for example, with the [WebLabel Player](https://github.com/Vicomtech/weblabel) published by [Vicomtech Research Foundation](https://www.vicomtech.org/en/). *(Disclaimer: Vicomtech was not part of the research project and there are currently no further relationships between DZSF and Vicomtech.)* ![Vicomtech](https://cdn.dzsf.eu/osdar23/img/vicomtech_200.png) ## Statistics Number of Multisensor-Frames: `1534` Statistic of annotation objects: object class number of annotations ------------------ --------------------- person 73421 crowd 1352 train 8290 wagons 110 bicycle 1779 group of bicycles 644 motorcycle 14 road vehicle 12669 animal 3288 group of animals 0 wheelchair 0 drag shoe 79 track 18543 transition 636 switch 2947 catenary pole 27706 signal pole 14374 signal 32790 signal bridge 312 buffer stop 4539 flame 410 smoke 188 ------------------ --------------------- total 204091
DOI: 10.25345/c5930p50v
title: MassIVE MSV000091750 - Samples Clinics_Rom_Positivemode
title: Samples clinics 20230420, positive mode, high and low m/z
DOI: 10.17909/vc7n-p631
title: JWST ERS 1373 observations of Jupiter's Atmosphere

description: Subset of observations from the Early Release Science program 1373 (PIs: Imke de Pater and Thierry Fouchet). This subset contains observations of Jupiter's atmosphere obtained on 27 July 2022
DOI: 10.2908/ef_mp_training
title: Agricultural holdings and utilised agricultural area by training, age and sex of farm managers
title: Landwirtschaftlicher Betriebe und landwirtschaftlicher Fläche nach Berufsausbildung, Alter und Geschlecht des Inhabers des landwirtschaftlichen Betriebs
title: Exploitations agricoles et superficie de l'exploitation, par formation, âge et genre des chefs d'exploitation
DOI: 10.5281/zenodo.7104781
title: Database of flow cytometric analyses from: Roxo, G., Brilhante, M., Moura, M., Menezes de Sequeira, M., Costa, J., Silva, L., Vasconcelos, R., Talhinhas, P., Romeiras, M. (2022) Genome size variation within Crithmum maritimum: clues on the colonization of insular environments.

description: Raw data of the Genome size of <em>Crithmum maritimum</em> for the 114 populations across the Portuguese territory (Portugal Mainland, Azores and Madeira archipelago). The data was obtained through the flow cytometry technique. This dataset contains a total of 1565 analyzes.
DOI: 10.5281/zenodo.7104780
title: Database of flow cytometric analyses from: Roxo, G., Brilhante, M., Moura, M., Menezes de Sequeira, M., Costa, J., Silva, L., Vasconcelos, R., Talhinhas, P., Romeiras, M. (2022) Genome size variation within Crithmum maritimum: clues on the colonization of insular environments.

description: Raw data of the Genome size of <em>Crithmum maritimum</em> for the 114 populations across the Portuguese territory (Portugal Mainland, Azores and Madeira archipelago). The data was obtained through the flow cytometry technique. This dataset contains a total of 1565 analyzes.
DOI: 10.25345/c5599zb8h
title: MassIVE MSV000091751 - Air liquid interface lung tissue asthma model
title: nano-DESI metabolomics followed by bottom up proteomics was performed.
DOI: 10.4121/2c7db0ab-ab2d-4056-8d19-807aa9ed4ae7
title: Dataset for: Introducing a circular construction hub for building material circularity in city: A case study in Leiden, the Netherlands

description: The Dutch government has published the circular economy goal, which aims to reduce 50% consumption of raw materials by 2030 and realize full circularity by 2050. The goal leads the promotion of sustainable development, particularly, on improving the resilience of the self-sufficient material supply chain in the Dutch economy. As one of the largest raw material consumers, the construction sector urgently demands a solution towards building circularity, which mainly indicates increasing the use of secondary materials and reducing demolition and construction waste. Accordingly, the municipality of Leiden takes the leading role of circular transition, and seeks a practical solution in the construction sector at the local scale.The circular construction hub is brought out as an effective solution to the building material circularity transition. A series of conceptual development and a few pilot projects in Utrecht and Amsterdam were established, the effectiveness is proved by the promising results of transportation reduction, and recycling rate improvement.Regardless numbers of the number of studies on the building material flow analysis and the development of the hubs in various forms, limited discussion of practical information for local hubs’ development is provided, and little quantitative analysis of the implementation of the circular construction hub was conducted. Decision-making for the intermediate steps in the transition towards building material circularity, therefore, has little referencing information.Hence, this research proposes the main research question as: How will the circular construction hub support the transition of building material circularity in the cities of the Netherlands? In order to explore the formation and the influence of the circular construction hub in the city with the case study of Leiden. The research firstly specifies the formation of the hub by desk research; then quantifies the urban mining potential and handling capacity of the hub by Material Flow Analysis (MFA); then the suitability analysis of the hub’s location is provided by the Geographical Information System (GIS) based on the transportation emission (Kg CO2 eq).The research aims to draw a comprehensive understanding of the metabolic characteristics of building material flows with the implementation of the circular construction hub, and provide a referencing value for the municipality’s decision-making on developing the hub in city Leiden, and further development in the cities of the Netherlands.The estimation and calculation processes are provided as the following datasets, the corresponding methods are introduced in the thesis report, and the file introduction is provided on the first page of each spreadsheet.