cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/edd6991e06024f7d9ee06460ec7cd7f6
title: Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v3.0)

description: Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2 and Level 3 S-polarised SIF. The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale. The SIF data was derived from L1B data from the TANSO-FTS ( Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. For each GOSAT sounding, the S-polarised spectra have been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm. For more information on the retrieval setup and bias correction, please see "Novel Methods for Atmospheric Carbon Dioxide Retrieval from the JAXA GOSAT and NASA OCO-2 Satellites - Part II: Remote Sensing of Chlorophyll Fluorescence" by Peter Somkuti.
DOI: 10.5519/qd.h0pv7j2d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5063 records)
DOI: 10.6084/m9.figshare.21674510.v1
title: Dataset.zip

description: Original dataset
DOI: 10.6084/m9.figshare.21674510.v2
title: Dataset.zip

description: Original dataset
DOI: 10.18712/ess10int
title: ESS10 - data from Interviewer's questionnaire, edition 2.0
DOI: 10.6084/m9.figshare.21674414
title: Table S1

description: <strong>Table S1. Sample manifest and a description of differentially expressed genes across comparisons examining the effect of niclosamide (NIC) on host cell and virus. </strong> <br> Table S1A. Sample Manifest <br> Table S1B. Number of differentially expressed genes called by DESeq2 per comparison. A: Effect of Time, B: Effect of Virus, and C: Effect of Drug. Genes were designated as differentially expressed if their adjusted p-value was equal to or less than 0.05, and their absolute log2 fold change was equal to or greater than 1.
DOI: 10.6084/m9.figshare.21674414.v1
title: Table S1

description: <strong>Table S1. Sample manifest and a description of differentially expressed genes across comparisons examining the effect of niclosamide (NIC) on host cell and virus. </strong> <br> Table S1A. Sample Manifest <br> Table S1B. Number of differentially expressed genes called by DESeq2 per comparison. A: Effect of Time, B: Effect of Virus, and C: Effect of Drug. Genes were designated as differentially expressed if their adjusted p-value was equal to or less than 0.05, and their absolute log2 fold change was equal to or greater than 1.
DOI: 10.5281/zenodo.7400746
title: japetella_diaphana_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7400745
title: japetella_diaphana_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7382723
title: Particulate organic carbon (POC) concentration in meltwater runoff of Leverett Glacier, Russell Glacier, and Isunnguata Sermia, southwest Greenland (2009-2018)

description: This dataset describes particulate organic carbon (POC) and particulate carbon (PC) concentrations of suspended sediments in the proglacial rivers of 3 land-terminating glaciers in the Kangerlussuaq area, Southwest Greenland: Leverett Glacier (LG), Leverett River; Russell Glacier (RG), Akuliarusiarsuup Kuua; and Isunnguata Sermia (IS), Isortoq River. Both the Leverett River and Akuliarusiarsuup Kuua are tributaries of the Qinnguata Kuussua (also known as Watson River). The data have already been part of 3 different publications (Lawson et al. 2014, Kohler et al. 2017, and Vrbická et al. 2022) but are archived here for the first time. POC data was collected for LG during the 2009 and 2010 melt seasons (Lawson et al. 2014) as well as 2015 (Kohler et al. 2017). For the 2018 melt season, only total carbon concentrations of suspended sediments (PC) is archived as opposed to POC (see Vrbická et al. 2022).
description: Additional funding from: NERC CASE studentship (NERC DTG/GEOG SN1316.6525) Czech Science Foundation Junior grant (GACR 15-17346Y) Charles University grant (GAUK 279715) Leverhulme Trust Research Grant (RPG-2016-439) Royal Society Wolfson Merit Award to J.L.W. Czech Science Foundation grants (GACR; 15-17346Y and 18-12630S) Charles University Research Centre program no. 204069
DOI: 10.5281/zenodo.7319160
title: Particulate organic carbon (POC) concentration in meltwater runoff of Leverett Glacier, Russell Glacier, and Isunnguata Sermia, southwest Greenland (2009-2018)

description: This dataset describes particulate organic carbon (POC) and particulate carbon (PC) concentrations of suspended sediments in the proglacial rivers of 3 land-terminating glaciers in the Kangerlussuaq area, Southwest Greenland: Leverett Glacier (LG), Leverett River; Russell Glacier (RG), Akuliarusiarsuup Kuua; and Isunnguata Sermia (IS), Isortoq River. Both the Leverett River and Akuliarusiarsuup Kuua are tributaries of the Qinnguata Kuussua (also known as Watson River). The data have already been part of 3 different publications (Lawson et al. 2014, Kohler et al. 2017, and Vrbická et al. 2022) but are archived here for the first time. POC data was collected for LG during the 2009 and 2010 melt seasons (Lawson et al. 2014) as well as 2015 (Kohler et al. 2017). For the 2018 melt season, only total carbon concentrations of suspended sediments (PC) is archived as opposed to POC (see Vrbická et al. 2022).
description: Additional funding from: NERC CASE studentship (NERC DTG/GEOG SN1316.6525) Czech Science Foundation Junior grant (GACR 15-17346Y) Charles University grant (GAUK 279715) Leverhulme Trust Research Grant (RPG-2016-439) Royal Society Wolfson Merit Award to J.L.W. Czech Science Foundation grants (GACR; 15-17346Y and 18-12630S) Charles University Research Centre program no. 204069
DOI: 10.6084/m9.figshare.20477163.v1
title: Datafile1_DirectCountRodMetrics.csv

description: Rod and cone metrics from ROIs with complete visualization of rod mosaic
DOI: 10.6084/m9.figshare.20477169.v1
title: Datafile2_SpacingDerivedRodMetrics.csv

description: Rod and cone metrics from ROIs with incomplete visualization of the rod mosaic. Rod metrics were calculated from estimates of rod spacing.
DOI: 10.6084/m9.figshare.21568869.v1
title: Dataset 1.zip

description: AOSLO regions of interest (ROIs) and their corresponding rod and cone coordinate files for the 22 ROIs in which the rod mosaic could be completely visualized. Data are included for four graders, each making two sets of measurements.
DOI: 10.6084/m9.figshare.21568872.v1
title: Dataset 2.zip

description: AOSLO regions of interest (ROIs) and their corresponding rod and cone coordinate files for the 105 ROIs in which rod density was estimated using the spacing-derived method described here.
DOI: 10.5281/zenodo.7400725
title: Land cover classification OAL-DE (H2020 OPERANDUM)

description: Land cover classification performed on a Planetscope image acquired in May 2021. The method was based on a supervided classification using Support Vector Machine. The training dataset was constructed using orthophoto images available for the study area in March-May 2021.
DOI: 10.5281/zenodo.7400724
title: Land cover classification OAL-DE (H2020 OPERANDUM)

description: Land cover classification performed on a Planetscope image acquired in May 2021. The method was based on a supervided classification using Support Vector Machine. The training dataset was constructed using orthophoto images available for the study area in March-May 2021.
DOI: 10.17638/datacat.liverpool.ac.uk/1711
title: Models for the paper "Convergent evolution of quadrupedality in ornithischian dinosaurs was achieved through disparate forelimb muscle mechanics"

description: Multi-body dynamics models of the forelimbs of ornithischians dinosaurs featured in "Convergent evolution of quadrupedality in ornithischian dinosaurs was achieved through disparate forelimb muscle mechanics" by Matthew Dempsey, Susannah C.R. Maidment, Brandon P. Hedrick, & Karl T. Bates. Abstract The secondary evolution of quadrupedality from bipedal ancestry is a rare evolutionary transition in tetrapods yet occurred convergently at least three times within ornithischian dinosaurs. Despite convergently evolving quadrupedal gait, ornithischians exhibited variable anatomy, particularly in the forelimbs, which underwent a major functional change from assisting in foraging and feeding in bipeds to becoming principal weight bearing components of the locomotor system in quadrupeds. Here, we use three-dimensional multi-body dynamics models to demonstrate quantitatively that different quadrupedal ornithischian clades evolved distinct forelimb musculature, particularly around the shoulder. We find that major differences in glenohumeral abduction-adduction and long axis rotation muscle leverages were key drivers of mechanical disparity, thereby refuting previous hypotheses about functional convergence in major clades. Elbow muscle leverages were also disparate across the major ornithischian lineages, although high elbow extension muscle leverages were convergent between most quadrupeds. Unlike in ornithischian hind limbs, where differences are more closely tied to functional similarity than phylogenetic relatedness, mechanical disparity in ornithischian forelimbs appears to have been shaped primarily by phylogenetic constraints. Differences in ancestral bipedal taxa within each clade may have resulted in disparate ecomorphological constraints on the evolutionary pathways driving divergence in their quadrupedal descendants.
DOI: 10.5281/zenodo.6908522
title: Geoelectrical and hydro-chemical monitoring of karst formation at the laboratory scale

description: We propose a dataset of two Estaillades limestone core samples subjected to acid percolation at two different rates. We monitored: <strong>Permeability </strong>from high-frequency pressure gradient acquisition. Facing noise, we filtered this permeability with a Savitsky-Golay filter. Then, we resampled permeability values to compare them at specific times when we performed other measurements. <strong>pH</strong> at the inlet and outlet. <strong>Calcium </strong>concentration at the outlet. <strong>Porosity</strong> was initially measured with petrophysical measurements and then calculated from calcium concentration during percolation experiments. We resampled the values to compare them at specific times when we performed other measurements. <strong>Water electrical conductivity</strong> at the inlet and outlet. <strong>Rock sample electrical conductivity</strong>, from which we calculated the formation factor. Rock sample electrical conductivity was high-frequency acquired. We thus resampled the values to compare them at specific times when we performed other measurements. We also present the pore size distribution of both samples before and after the percolation experiments. The distribution comes from the mean <strong>chord lengths distribution</strong> generated from tomography imaging. In addition to this dataset, we display a picture of the mesh of the sample and the electrodes generated with EIDORS software and with which we computed the geometric factor.
DOI: 10.5281/zenodo.6866506
title: Geoelectrical and hydro-chemical monitoring of karst formation at the laboratory scale

description: We propose a dataset of two Estaillades limestone core samples subjected to acid percolation at two different rates. We monitored: <strong>Permeability </strong>from high-frequency pressure gradient acquisition. Facing noise, we filtered this permeability with a Savitsky-Golay filter. Then, we resampled permeability values to compare them at specific times when we performed other measurements. <strong>pH</strong> at the inlet and outlet. <strong>Calcium </strong>concentration at the outlet. <strong>Porosity</strong> was initially measured with petrophysical measurements and then calculated from calcium concentration during percolation experiments. We resampled the values to compare them at specific times when we performed other measurements. <strong>Water electrical conductivity</strong> at the inlet and outlet. <strong>Rock sample electrical conductivity</strong>, from which we calculated the formation factor. Rock sample electrical conductivity was high-frequency acquired. We thus resampled the values to compare them at specific times when we performed other measurements. We also present the pore size distribution of both samples before and after the percolation experiments. The distribution comes from the mean <strong>chord lengths distribution</strong> generated from tomography imaging. In addition to this dataset, we display a picture of the mesh of the sample and the electrodes generated with EIDORS software and with which we computed the geometric factor.
DOI: 10.5281/zenodo.7355372
title: Rice productivity along waterlogging gradient in Indonesian peatlands (EPIC-IIASA model outputs)

description: [1] The spatially explicit modelled water table depth data (WTBL, in m) were produced for a total of ten waterlogging intensity scenarios (WetScen) in Indonesian peatlands using the Environmental Policy Integrated Climate-based modelling framework EPIC-IIASA. The WetScen scenarios 1 to 10 represent a gradient from water-logged to deeply drained soils. The dataset provides monthly WTBL series simulated between 2001 and 2010 at 0.25×0.25 arc-deg spatial resolution across all Indonesia peatland soils (https://doi.org/10.5281/zenodo.6997968). This data brings harmonized groundwater regime data in large-scale agricultural modelling to allow assessing the impact of peatland rewetting on rice productivity in Indonesia. These data were prepared as a part of the RESTORE+ project, separately for two rice growing seasons (seasons 1 and 2) and rice double-cropping on mineral (miner) and shallow peat soils (peat) with a depth of less than 1 m. [2] The spatially explicit datasets of annual rice yield (YLDG in tDM/ha) and monthly root zone soil water content (RZSW, in mm) were simulated at 0.25×0.25° spatial resolution following the waterlogging scenarios described above. The datasets explore (a) two nutrient management, namely the good agricultural practice (GAP) and management that was back-calibrated against statistically reported regional yields (BackCalc), (b) two rice seasons (season 1 and 2) plus a double-cropping system, and (c) ten waterlogging scenarios (WetScen) in all peatland grids with soils suitable for rice production, i.e., all mineral soils (miner) and soils with the shallow peat material (peat). The simulations were carried out from 2001 to 2010, consistently with the scenario data and modelling framework described above. This database was created as a part of the RESTORE+ project. The details are described in a separate document (see https://doi.org/10.5281/zenodo.7355835).
description: Funding acknowledgment: This work was supported by the RESTORE+ project (www.restoreplus.org), which is part of the International Climate Initiative (IKI), supported by the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) based on a decision adopted by the German Bundestag.
DOI: 10.5281/zenodo.7355371
title: Rice productivity along waterlogging gradient in Indonesian peatlands (EPIC-IIASA model outputs)

description: [1] The spatially explicit modelled water table depth data (WTBL, in m) were produced for a total of ten waterlogging intensity scenarios (WetScen) in Indonesian peatlands using the Environmental Policy Integrated Climate-based modelling framework EPIC-IIASA. The WetScen scenarios 1 to 10 represent a gradient from water-logged to deeply drained soils. The dataset provides monthly WTBL series simulated between 2001 and 2010 at 0.25×0.25 arc-deg spatial resolution across all Indonesia peatland soils (https://doi.org/10.5281/zenodo.6997968). This data brings harmonized groundwater regime data in large-scale agricultural modelling to allow assessing the impact of peatland rewetting on rice productivity in Indonesia. These data were prepared as a part of the RESTORE+ project, separately for two rice growing seasons (seasons 1 and 2) and rice double-cropping on mineral (miner) and shallow peat soils (peat) with a depth of less than 1 m. [2] The spatially explicit datasets of annual rice yield (YLDG in tDM/ha) and monthly root zone soil water content (RZSW, in mm) were simulated at 0.25×0.25° spatial resolution following the waterlogging scenarios described above. The datasets explore (a) two nutrient management, namely the good agricultural practice (GAP) and management that was back-calibrated against statistically reported regional yields (BackCalc), (b) two rice seasons (season 1 and 2) plus a double-cropping system, and (c) ten waterlogging scenarios (WetScen) in all peatland grids with soils suitable for rice production, i.e., all mineral soils (miner) and soils with the shallow peat material (peat). The simulations were carried out from 2001 to 2010, consistently with the scenario data and modelling framework described above. This database was created as a part of the RESTORE+ project. The details are described in a separate document (see https://doi.org/10.5281/zenodo.7355835).
description: Funding acknowledgment: This work was supported by the RESTORE+ project (www.restoreplus.org), which is part of the International Climate Initiative (IKI), supported by the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) based on a decision adopted by the German Bundestag.
DOI: 10.5281/zenodo.7400807
title: Analysis of the content of the H2020 project websites related to LEAs and IA.

description: This is the dataset used in the article entitled "The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda". You can find more information about the results obtained, as well as the methodology used in the paper.
DOI: 10.5281/zenodo.7400806
title: Analysis of the content of the H2020 project websites related to LEAs and IA.

description: This is the dataset used in the article entitled "The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda". You can find more information about the results obtained, as well as the methodology used in the paper.
DOI: 10.25375/uct.21572046
title: Missed opportunities to address common mental disorders of people living with HIV in Zomba, Malawi: A cross sectional clinic survey

description: A descriptive cross-sectional clinic survey at three ART clinics in the Zomba district was conducted in April 2019 as part of an Mphil study. Random sampling was conducted for all clients attending their ART clinics on specific days. The study surveyed 382 participants living with HIV. In addition to socio-demographic and HIV related variables, the following measures were included: · The Self-Reporting Questionnaire 20 item (SRQ-20) was used to asses symptoms of depression and anxiety. · The Alcohol Use Disorder Identification Test (AUDIT) assessed alcohol use.
DOI: 10.25375/uct.21572046.v1
title: Missed opportunities to address common mental disorders of people living with HIV in Zomba, Malawi: A cross sectional clinic survey

description: A descriptive cross-sectional clinic survey at three ART clinics in the Zomba district was conducted in April 2019 as part of an Mphil study. Random sampling was conducted for all clients attending their ART clinics on specific days. The study surveyed 382 participants living with HIV. In addition to socio-demographic and HIV related variables, the following measures were included: · The Self-Reporting Questionnaire 20 item (SRQ-20) was used to asses symptoms of depression and anxiety. · The Alcohol Use Disorder Identification Test (AUDIT) assessed alcohol use.
DOI: 10.5281/zenodo.7112497
title: Data of "A workflow to study the microbiota profile of piglet's umbilical cord blood: from sampling to data analysis".

description: The present study proposes a workflow – from the sampling method to DNA extraction, bioinformatics and data analysis – that characterises the bacterial profile of umbilical cord blood samples, taking into account the contaminants found throughout the procedure of bacterial DNA extraction and amplification. Ps_umbilical.rds: A phyloseq object file of data containing the amplicon sequences variants (ASVs) of thirteen umbilical cord samples and two negative control samples, created by DADA2. R-script.doc: A word document containing the scripts used to characterize the taxonomical composition of the fifteen umbilical cord samples and two negative control samples before and after the application of Decontam R-package (Davis et al., 2018). data_description.xlsx: meta data for R-script.doc
DOI: 10.5281/zenodo.7112496
title: Data of "A workflow to study the microbiota profile of piglet's umbilical cord blood: from sampling to data analysis".

description: The present study proposes a workflow – from the sampling method to DNA extraction, bioinformatics and data analysis – that characterises the bacterial profile of umbilical cord blood samples, taking into account the contaminants found throughout the procedure of bacterial DNA extraction and amplification. Ps_umbilical.rds: A phyloseq object file of data containing the amplicon sequences variants (ASVs) of thirteen umbilical cord samples and two negative control samples, created by DADA2. R-script.doc: A word document containing the scripts used to characterize the taxonomical composition of the fifteen umbilical cord samples and two negative control samples before and after the application of Decontam R-package (Davis et al., 2018). metadata.docx: meta data for R-script.doc
DOI: 10.5281/zenodo.7400837
title: Data of "A workflow to study the microbiota profile of piglet's umbilical cord blood: from sampling to data analysis".

description: The present study proposes a workflow – from the sampling method to DNA extraction, bioinformatics and data analysis – that characterises the bacterial profile of umbilical cord blood samples, taking into account the contaminants found throughout the procedure of bacterial DNA extraction and amplification. Ps_umbilical.rds: A phyloseq object file of data containing the amplicon sequences variants (ASVs) of thirteen umbilical cord samples and two negative control samples, created by DADA2. R-script.doc: A word document containing the scripts used to characterize the taxonomical composition of the fifteen umbilical cord samples and two negative control samples before and after the application of Decontam R-package (Davis et al., 2018). metadata.docx: meta data for R-script.doc