cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/wjh9-ek38
title: Parkes pulsar observations with undefined project IDs for 2023OCTS_19

description: Parkes pulsar observations with undefined project IDs for 2023OCTS. This collection contains observations from project ID PX125.
DOI: 10.5281/zenodo.10809838
title: Database for: Meta-analysis of the impact of land use intensification on selected soil fauna in global agroecosystems

description: The dataset is an aggregate of research works examining how intensification of land usage affects soil faunal populations worldwide in agroecosystems, particularly focused on nematodes, springtails, mites and enchytraeids. The dataset, which was taken from peer-reviewed articles, covers a number of topics, including the Köppen-Geiger climate classification system's description of climate features. Properties of soil, including type, texture, pH, and organic matter, are recorded. Furthermore, information is given about the experimental parameters, including replicates, sampling depth, and extraction techniques. The dataset also includes details on grazing, tillage techniques, pesticide, herbicide, and pesticide usage, fertilizer kind and rate, and days after tillage for faunal collection. For both the control and treatment locations, abundance, diversity, and the parameters that go along with it are noted.
DOI: 10.5281/zenodo.10809839
title: Database for: Meta-analysis of the impact of land use intensification on selected soil fauna in global agroecosystems

description: The dataset is an aggregate of research works examining how intensification of land usage affects soil faunal populations worldwide in agroecosystems, particularly focused on nematodes, springtails, mites and enchytraeids. The dataset, which was taken from peer-reviewed articles, covers a number of topics, including the Köppen-Geiger climate classification system's description of climate features. Properties of soil, including type, texture, pH, and organic matter, are recorded. Furthermore, information is given about the experimental parameters, including replicates, sampling depth, and extraction techniques. The dataset also includes details on grazing, tillage techniques, pesticide, herbicide, and pesticide usage, fertilizer kind and rate, and days after tillage for faunal collection. For both the control and treatment locations, abundance, diversity, and the parameters that go along with it are noted.
DOI: 10.5281/zenodo.6384235
title: POSYDON data

description: This dataset isncludes the downsapled data from the single- and binary-star models grids used in POSYDON, as well as the trained classification and interpolation models.
DOI: 10.5281/zenodo.6384234
title: POSYDON v1.0 data

description: This dataset includes the downsapled data from the single- and binary-star models grids used in POSYDON, as well as the trained classification and interpolation models.
DOI: 10.5281/zenodo.6412679
title: POSYDON data

description: This dataset isncludes the downsapled data from the single- and binary-star models grids used in POSYDON, as well as the trained classification and interpolation models.
DOI: 10.5281/zenodo.6655751
title: POSYDON v1.0 data

description: This dataset includes the downsapled data from the single- and binary-star models grids used in POSYDON, as well as the trained classification and interpolation models.
DOI: 10.5281/zenodo.10797960
title: Spectral library of plant species from Montesinho Natural Park in Portugal

description: The database contains the average spectra for leaves of each species, collected in different grids. Additionally, there is at least one photographic record for each species and the calculation of different Vegetation Indices (VIs), namely: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Renormalized Difference Vegetation Index (RDVI), Greenness Index (GI), and Structure Insensitive Pigment Index (SIPI). A detailed description regarding the database, its content, and the measurement instrument can be found in the database report and in a data paper (In Prep). It showcases some of the most representative and relevant vascular plant species within a conservation area in Portugal - the Montesinho Natural Park (MNP), namely: Alnus glutinosa (L.) Gaertn, Castanea sativa Mill., Cistus ladanifer L., Crataegus monogyna Jacq., Frangula alnus Mill., Fraxinus angustifolia Vahl, Quercus pyrenaica Willd., Quercus rotundifolia Lam., Trifolium repens L., Arbutus unedo L. Dactylis glomerata L., Genista falcata Brot., Cytisus multiflorus (L*Hér.) Sweet, Erica arborea L., and Acacia dealbata Link. Samples were collected in situ on June 21st and 22nd, 2023.
description: This research was supported by Portuguese national funds through FCT – Portuguese Foundation for Science and Technology I.P., under MontObEO - Montesinho biodiversity observatory: an Earth Observation tool for biodiversity conservation (FCT: MTS/BRB/0091/2020). Cátia Rodrigues de Almeida was financially supported by Portuguese national funds through FCT - Foundation for Science and Technology I.P. (Grant: PRT/BD/153518/2021). Neftalí Sillero is supported by a CEEC2017 contract (CEECIND/02213/2017) from FCT. João C. Campos and Nuno Garcia are supported respectively by a research contract and grants from MontObEO project (MTS/BRB/0091/2020). Salvador Arenas-Castro is supported by a María Zambrano fellowship funded by the Spanish Ministry of Universities and the European Union-Next Generation Plan.
DOI: 10.5281/zenodo.10797961
title: Spectral library of plant species from Montesinho Natural Park in Portugal

description: The spectral signature of vascular plant species, obtained through reflectance spectroscopy studies, was developed under the  MontObEO project - Montesinho biodiversity observatory: an Earth Observation tool for biodiversity conservation (https://montobeo.wordpress.com/), funded by the Foundation for Science and Technology (FCT: MTS/BRB/0091/2020) of Portugal. It showcases some of the most representative and relevant vascular plant species within a conservation area in Portugal - the Montesinho Natural Park (MNP), namely: Alnus glutinosa (L.) Gaertn, Castanea sativa Mill., Cistus ladanifer L., Crataegus monogyna Jacq., Frangula alnus Mill., Fraxinus angustifolia Vahl, Quercus pyrenaica Willd., Quercus rotundifolia Lam., Trifolium repens L., Arbutus unedo L. Dactylis glomerata L., Genista falcata Brot., Cytisus multiflorus (L*Hér.) Sweet, Erica arborea L., and Acacia dealbata Link. Samples were collected in situ on June 21st and 22nd, 2023. The database contains the average spectra for leaves of each species, collected in different grids. Additionally, there is at least one photographic record for each species and the calculation of different Vegetation Indices (VIs), namely: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Renormalized Difference Vegetation Index (RDVI), Greenness Index (GI), and Structure Insensitive Pigment Index (SIPI). A detailed description regarding the database, its content, and the measurement instrument can be found in the database report and in a data paper (In Prep).
DOI: 10.5281/zenodo.10798148
title: Spectral library of plant species from Montesinho Natural Park in Portugal

description: The database contains the average spectra for leaves of each species, collected in different grids. Additionally, there is at least one photographic record for each species and the calculation of different Vegetation Indices (VIs), namely: Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Renormalized Difference Vegetation Index (RDVI), Greenness Index (GI), and Structure Insensitive Pigment Index (SIPI). A detailed description regarding the database, its content, and the measurement instrument can be found in the database report and in a data paper (In Prep). It showcases some of the most representative and relevant vascular plant species within a conservation area in Portugal - the Montesinho Natural Park (MNP), namely: Alnus glutinosa (L.) Gaertn, Castanea sativa Mill., Cistus ladanifer L., Crataegus monogyna Jacq., Frangula alnus Mill., Fraxinus angustifolia Vahl, Quercus pyrenaica Willd., Quercus rotundifolia Lam., Trifolium repens L., Arbutus unedo L. Dactylis glomerata L., Genista falcata Brot., Cytisus multiflorus (L*Hér.) Sweet, Erica arborea L., and Acacia dealbata Link. Samples were collected in situ on June 21st and 22nd, 2023.
description: This research was supported by Portuguese national funds through FCT – Portuguese Foundation for Science and Technology I.P., under MontObEO - Montesinho biodiversity observatory: an Earth Observation tool for biodiversity conservation (FCT: MTS/BRB/0091/2020). Cátia Rodrigues de Almeida was financially supported by Portuguese national funds through FCT - Foundation for Science and Technology I.P. (Grant: PRT/BD/153518/2021). Neftalí Sillero is supported by a CEEC2017 contract (CEECIND/02213/2017) from FCT. João C. Campos and Nuno Garcia are supported respectively by a research contract and grants from MontObEO project (MTS/BRB/0091/2020). Salvador Arenas-Castro is supported by a María Zambrano fellowship funded by the Spanish Ministry of Universities and the European Union-Next Generation Plan.
DOI: 10.5258/soton/d3004
title: Dataset in support of the Southampton doctoral thesis 'Reconfigurable intelligent surface aided wireless systems'

description: Dataset in support of the Southampton doctoral thesis 'Reconfigurable intelligent surface aided wireless systems'. 

The data reflects the research process in which the following stages were analysed: In the first stage, the instantaneous channel is estimated for the RIS configuration. In the second stage, once the RIS configuration has been determined, the equivalent channel spanning from the user equipment (UE) to the base state (BS) is estimated for configuring the BS beamforming weights. Additionally, spectral-efficient RIS beamforming architectures, including the non-diagonal RIS and simultaneous transmitting and reflecting (STAR) RIS, are analysed.

This dataset contains zip file Pure_data.rar
The data is is a series of codes written by Matlab.
DOI: 10.5287/ora-nyajxdvqp
title: Data on costs to provide improved water and handwashing services in rural healthcare facilities, Kitui County, Kenya

description: Data from a professional water service maintenance provider on expenditure required to improve water and handwashing services in healthcare facilities in Kitui County, Kenya, during the Covid-19 lockdown in 2020. Further details in this brief report: https://reachwater.uk/resource/improving-water-and-hand-washing-services-in-rural-health-care-facilities-in-kitui-county-kenya/
DOI: 10.6084/m9.figshare.25393195
title: hypertension analysis.csv

description: <b>A cohort study of 197,080 singleton live births in China. The study first estimated the association between heat exposure, maternal hypertension and</b> <b>clinical subtypes of PTB, and then quantified the role of maternal hypertension in heat and PTB using mediation analyses.</b>
DOI: 10.34740/kaggle/dsv/7826003
title: Refined: Large Metal Lyrics Archive (228K songs)
DOI: 10.6084/m9.figshare.25393273
title: Wastewater Taxonomic Abundance Matrices

description: Taxonomic abundance data across classifiers.<br><br>xtree -- the numbers separated by an underscore at the total genome and "unique portion of the genome" coverage cutoffs, respectively, used to mask the data. All aligned reads below those cutoffs are set to 0.<br><br>kraken -- confX refers to the --confidence flag setting, 0 or 0.2<br>MetaPhlAn4 was run with the default settings.<br><br>decontam vs nodecontam refers to if a dataframe were decontaminated (using the decontam package in R).<br>k, d, p, c, o, g, s refer to clade ranks. Viruses (PVC) are only reported here at the species level. For viral taxonomic annotations, please refer to the PVC: https://figshare.com/projects/The_Pan_Viral_Compendium/185977
DOI: 10.6084/m9.figshare.25304524
title: vanTimmerenvandeVijverdeWit_ALLDATA

description: This dataset contains the data presented in<i>Cortico-striatal white-matter connectivity underlies the ability to exert goal-directed control</i>by Tim van Timmeren*<i>,</i> Irene van de Vijver*, and Sanne de Wit.Please see the README file for all information about the specific files and data.* These authors contributed equally
DOI: 10.6084/m9.figshare.25304524.v1
title: vanTimmerenvandeVijverdeWit_ALLDATA

description: This dataset contains the data presented in<i>Cortico-striatal white-matter connectivity underlies the ability to exert goal-directed control</i>by Tim van Timmeren*<i>,</i> Irene van de Vijver*, and Sanne de Wit.Please see the README file for all information about the specific files and data.* These authors contributed equally
DOI: 10.5281/zenodo.10808291
title: Bone point micro-CT raw data from Abric Romaní (Capellades, Barcelona, Spain)

description: Raw data from micro-CT scanning of a bone point from Abric Romaní archaeological site (Capellades, Barcelona, Spain).
DOI: 10.5281/zenodo.10808292
title: Bone point micro-CT raw data from Abric Romaní (Capellades, Barcelona, Spain)

description: Raw data from micro-CT scanning of a bone point from Abric Romaní archaeological site (Capellades, Barcelona, Spain).
DOI: 10.6084/m9.figshare.24272092
title: Figure 4. Alignment and tree of nifHDKT and of dreped MAGs for reconcilation and ancestral reconstruction

description: For the reconstruction of ancestral states and the phylogenetic reconciliation, all genomes and MAGs of the order Chromatiales that were available in GTDB were included in the analysis. MAGs classified as <i>Desulfuromonas</i> in GTDB were also included as outgroup. The diversity of MAGs was reduced by following the dRep v3.2.2 dereplicate workflow with the S_ANI parameter set to 0.995 and a phylogenomic tree was inferred from the dereplicated MAGs. Sequences of the <i>nifH</i>, <i>nifD</i>, <i>nifK </i>and <i>nifT</i> genes were chosen to infer the evolutionary history of nitrogen fixation because they form an operon with the minimum catalytic gene set for the reaction. Sequences were extracted from the anvi’o annotation (described in the section <b>MAG annotation and metabolic reconstruction</b>) of the dereplicated MAGs. MAGs that did not contain the full set of genes were excluded from the analysis. Each gene extraction was aligned independently with FSA v1.15.9 using the <i>--fast</i> flag. A tree was inferred from each alignment to ensure that the genes have evolved together. Subsequently, the alignments were concatenated using SeqKit v2.3.0 and a tree inferred from it. Both trees were inferred with IQ-Tree v2.2.2.1 with auto substitution model detection, 1,000 ultrafast bootstrap (UFB) replicates and 1,000 samples for SH-aLRT branch testing. Nodes with values of UFB greater or equal to 95% and of SH-aLRT greater or equal to 80% were considered to be strongly supported. The nifHDKT best-fit model was GTR+F+I+R6, and the one for the dreplicated tree was Q.insect+F+R9
DOI: 10.6084/m9.figshare.24272092.v4
title: Figure 4. Alignment and tree of nifHDKT and of dreped MAGs for reconcilation and ancestral reconstruction

description: For the reconstruction of ancestral states and the phylogenetic reconciliation, all genomes and MAGs of the order Chromatiales that were available in GTDB were included in the analysis. MAGs classified as <i>Desulfuromonas</i> in GTDB were also included as outgroup. The diversity of MAGs was reduced by following the dRep v3.2.2 dereplicate workflow with the S_ANI parameter set to 0.995 and a phylogenomic tree was inferred from the dereplicated MAGs. Sequences of the <i>nifH</i>, <i>nifD</i>, <i>nifK </i>and <i>nifT</i> genes were chosen to infer the evolutionary history of nitrogen fixation because they form an operon with the minimum catalytic gene set for the reaction. Sequences were extracted from the anvi’o annotation (described in the section <b>MAG annotation and metabolic reconstruction</b>) of the dereplicated MAGs. MAGs that did not contain the full set of genes were excluded from the analysis. Each gene extraction was aligned independently with FSA v1.15.9 using the <i>--fast</i> flag. A tree was inferred from each alignment to ensure that the genes have evolved together. Subsequently, the alignments were concatenated using SeqKit v2.3.0 and a tree inferred from it. Both trees were inferred with IQ-Tree v2.2.2.1 with auto substitution model detection, 1,000 ultrafast bootstrap (UFB) replicates and 1,000 samples for SH-aLRT branch testing. Nodes with values of UFB greater or equal to 95% and of SH-aLRT greater or equal to 80% were considered to be strongly supported. The nifHDKT best-fit model was GTR+F+I+R6, and the one for the dreplicated tree was Q.insect+F+R9
DOI: 10.6084/m9.figshare.24272092.v3
title: Figure 4. Alignment and tree of nifHDKT and of dreped MAGs for reconcilation and ancestral reconstruction

description: Sequences of the <i>nifH</i>, <i>nifD</i>, <i>nifK </i>and <i>nifT</i> genes were chosen to infer the evolutionary history of nitrogen fixation because they form an operon with the minimum catalytic gene set for the reaction (Dos Santos et al. 2012). Sequences were extracted from the DRAM annotation of the dereplicated MAGs, including the genome of <i>Vibrio natrigensis,</i> which also served as the outgroup for the gene tree. MAGs that did not contain the full set of genes and were excluded from the analysis. Each renamed gene extraction (Rodriguez-R and Konstantinidis 2016) was aligned independently with FSA v1.15.9 (Bradley et al. 2009) using the <i>--fast</i> flag. A tree was inferred from each alignment to ensure that the genes have evolved together. Subsequently, the alignments were concatenated using SeqKit v2.3.0 (Shen et al. 2016) and a tree inferred from it. For the reconstruction of ancestral states and the phylogenetic reconciliation we inferred a de-replicated version of the global symbiont phylogenomic tree. For this, the diversity of MAGs was reduced by following the dRep v3.2.2 (Olm et al. 2017) dereplicate workflow with the S_ANI parameter set to 0.99. To maintain the topology of the original tree, MAGs classified as <i>Ca. </i>Thiodiazotropha endolucinida Caribbean had to be dereplicated independently with the S_ANI flag set to 0.995 (to increase the represented diversity of the clade). The genome of <i>Vibrio natrigensis </i>genome (GCF_001456255.1), which was used as an outgroup, was downloaded from the NCBI database.Both trees wereinferred with IQ-Tree v2.2.2.1 (Minh et al. 2020; Hoang et al. 2018; Kalyaanamoorthy et al. 2017) with auto substitution model detection, 1,000 ultrafast bootstrap (UFB) replicates and 1,000 samples for SH-aLRT branch testing. Nodes with values of UFB greater or equal to 95% and of SH-aLRT greater or equal to 80% were considered to be strongly supported. The nifHDKT best-fit model was TN+F+I+G4, and the one for the dreped tree was Q.insect+F+I+G4
DOI: 10.5258/soton/d2853
title: Dataset to support the publication "An ultra-compact metasurface and specklemeter based chromatic confocal sensor"

description: This dataset is supporting the publication "An ultra-compact metasurface and specklemeter based chromatic confocal sensor" by Przemyslaw Falak et al, in IEEE Transactions on Instrumentation and Measurement

This dataset contains one archived file .zip with the following content:
1) This README.txt file,
2) File "Distance_reconstruction.fig"
3) File "Distance_reconstruction.png"
4) File "PCA_values.fig"
5) File "PCA_values.png"
6) File "Reconstruction_error.fig"
7) File "Reconstruction_error.png"
8) File "Metalens_spectradata.mat"
9) File "Metalens_spectradata.png"

The raw data was collected as speckle patterns captured by CMOS IMX219 camera Raspberry Pi V2 NoIR (.png files) and further processed by MATLAB scripts. All files were created in MATLAB R2021a and shall be opened by any MATLAB version, starting from R2014b. Alternatively, the files are provided as .png (image) for a preview, but the data underlying these cannot be recovered, unless .fig files are used.
DOI: 10.5281/zenodo.10809250
title: Data for the research article "High-Temperature Deformation of Enstatite-Olivine Aggregates" published in JGR Solid Earth

description: The data available in this repository is the original data presented in the research article: Bystricky, M., Lawlis, J., Mackwell, S., & Heidelbach, F. (2024). High-temperature deformation of enstatite-olivine aggregates, Journal of Geophysical Research: Solid Earth, 129, e2023JB027699. https://doi.org/10.1029/2023JB027699.

Version v1: data at time of original submission (2023)

Version v2: data at time of publication (2024)
DOI: 10.5281/zenodo.8172452
title: Data for the research article "High-Temperature Deformation of Enstatite-Olivine Aggregates" published in JGR Solid Earth

description: The data available in this repository is the original data presented in the research article: Bystricky, M., Lawlis, J., Mackwell, S., & Heidelbach, F. (2024). High-temperature deformation of enstatite-olivine aggregates, Journal of Geophysical Research: Solid Earth, 129, e2023JB027699. https://doi.org/10.1029/2023JB027699.

Version v1: data at time of original submission (2023)

Version v2: data at time of publication (2024)
DOI: 10.5281/zenodo.8172453
title: Data for the research article "High-Temperature Deformation of Enstatite-Olivine Aggregates" published in JGR Solid Earth

description: The data available in this repository is the original data presented in the research article: Bystricky, M., Lawlis, J., Mackwell, S., & Heidelbach, F. (2024). High-temperature deformation of enstatite-olivine aggregates, Journal of Geophysical Research: Solid Earth, 129, e2023JB027699. https://doi.org/10.1029/2023JB027699.

Version v1: data at time of original submission (2023)

Version v2: data at time of publication (2024)
DOI: 10.17882/93268
title: Improved accuracy and spatial resolution for bio-logging-derived chlorophyll a fluorescence measurements in the Southern Ocean

description: The ocean’s meso- and submeso-scales (1-100 km, days to weeks) host features like filaments and eddies that have a key structuring effect on phytoplankton distribution, but that due to their ephemeral nature, are challenging to observe. This problem is exacerbated in regions with heavy cloud coverage and/or difficult access like the Southern Ocean, where observations of phytoplankton distribution by satellite are sparse, manned campaigns costly, and automated devices limited by power consumption. Here, we address this issue by considering high-resolution in-situ data from 18 bio-logging devices deployed on southern elephant seals (Mirounga leonina) in the Kerguelen Islands between 2018 and 2020. These devices have submesoscale-resolving capabilities of light profiles due to the high spatio-temporal frequency of the animals’ dives (on average 1.1 +-0.6 km between consecutive dives, up to 60 dives per day), but observations of fluorescence are much coarser due to power constraints. Furthermore, the chlorophyll a concentrations derived from the (uncalibrated) bio-logging devices’ fluorescence sensors lack a common benchmark to properly qualify the data and allow comparisons of observations. By proposing a method based on functional data analysis, we show that a reliable predictor of chlorophyll a concentration can be constructed from light profiles (14 686 in our study) and matchups with satellite ocean-color data, thus enabling effective (1) homogenization then calibration of the bio-logging devices’ fluorescence data and (2) filling of the spatial gaps in coarse-grained fluorescence sampling. The developed method improves the spatial resolution of the chlorophyll a field description from ~30 km to ~12 km. These results open the way to empirical study of the coupling between physical forcing and biological response at submesoscale in the Southern Ocean, especially useful in the context of upcoming high-resolution ocean-circulation satellite missions like SWOT.
DOI: 10.6084/m9.figshare.25393342
title: Interview transcript

description: Interview Data
DOI: 10.6084/m9.figshare.25393342.v1
title: Interview transcript

description: Interview Data