cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34770/0w80-p436
title: Adaptive Multi-Robot Timber Construction Dataset

description: The deposit contains data related to the adaptive multi-robotic assembly
 of timber structures. This data was collected across two experiments; the
 first experiment utilizes a pose-based adaptive fabrication method applied
 to a nail-laminated timber module, and the second experiment utilizes a
 topology-based adaptive fabrication method applied to a spatial wall frame
 module. The first experiment data contains the pose measurements for each
 element in the assembly structure and overall point cloud scans of the
 final as-built assemblies. Pose measurements were derived from a defined
 set of profile scans using a profile scanner attached to the end of an
 industrial robot arm, using the methods detailed in the corresponding
 paper. This scanner has a profile resolution of 0.150 mm, a depth
 resolution of 0.019 mm, and a linearity of ±0.01% of the measurement
 range. These pose measurements were used as inputs to the adaptive control
 loop, and also served as measures of deviation when compared to a
 benchmark case assembly with no adaptation. The point cloud scans were
 likewise obtained using the profile scanner by controlling the industrial
 robot to perform a linear sweep across the final structure, capturing a
 profile of points every 2 mm. Since the field of view of the sensor was
 insufficient to scan the entire structure in a single pass, multiple
 passes were made with a slight overlap, and these point cloud segments
 were stitched together using the calibrated end-effector position of the
 industrial robot. The point clouds were manually filtered to remove
 background elements, such as the assembly platform and clamping elements.
 These point clouds were utilized to compute surface deviations of the
 adaptive and benchmark assembly cases against an idealized digital model.
 The deviation data corresponds to the order of points in their
 corresponding point cloud files. The second experiment did not utilize
 pose measurements, and, therefore, the database only includes the point
 cloud scan and deviation calculations of the as-built wall module. For
 more details, please see the corresponding paper.
DOI: 10.18739/a27m0423j
title: Lake ice thickness observations for arctic Alaska from 1962 to 2023

description: Lake ice thickness has been systematically measured in a set of 39 lakes located in seven representative study areas ranging from the coastal plain to the mountains of Alaska's North Slope from 2012 to 2023 as part of the CircumArctic Lake Observation Network (CALON), the Arctic Lake Ice Systems Science (ALISS), the Fish Creek Watershed Observatory (FCWO) projects. Measurements are made in the late winter (March to May) when lake ice thickness is close to its annual maximum. Average ice thicknesses are reported for study area per year based on average from many lakes and multiple measurements per lake (typically made near the lake center). Maximum ice thickness is estimated based on fitting an ice growth curve based on local air temperature records (and in most cases snow depth and density) to observations. Additional late winter ice thickness data from these same study areas collected by other project is also reported for the period from 1962 to 2011 and estimates of maximum ice thickness made using the same technique. Only lakes with floating ice regimes (i.e. depths greater than maximum ice thickness) are reported in this dataset.
DOI: 10.5281/zenodo.10854657
title: galium_bermudense_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10854658
title: galium_bermudense_spades_01.fasta.gz

description: .
DOI: 10.18739/a2028pf6w
title: Lake ice thickness observations for arctic Alaska from 1962 to 2023

description: Lake ice thickness has been systematically measured in a set of 39 lakes located in seven representative study areas ranging from the coastal plain to the mountains of Alaska's North Slope from 2012 to 2023 as part of the CircumArctic Lake Observation Network (CALON), the Arctic Lake Ice Systems Science (ALISS), the Fish Creek Watershed Observatory (FCWO) projects. Measurements are made in the late winter (March to May) when lake ice thickness is close to its annual maximum. Average ice thicknesses are reported for study area per year based on average from many lakes and multiple measurements per lake (typically made near the lake center). Maximum ice thickness is estimated based on fitting an ice growth curve based on local air temperature records (and in most cases snow depth and density) to observations. Additional late winter ice thickness data from these same study areas collected by other project is also reported for the period from 1962 to 2011 and estimates of maximum ice thickness made using the same technique. Only lakes with floating ice regimes (i.e. depths greater than maximum ice thickness) are reported in this dataset.
DOI: 10.5281/zenodo.10794052
title: Research data for "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning"

description: This dataset contains structural data and ML local energies for the publication "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning". Details of the contents can be found in README.txt. Code to analyse structures and reproduce figures from the publication are available at https://github.com/MorrowChem/understanding_defects
DOI: 10.5281/zenodo.10794053
title: Research data for "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning"

description: This dataset contains structural data and ML local energies for the publication "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning". Details of the contents can be found in README.txt. Code to analyse structures and reproduce figures from the publication are available at https://github.com/MorrowChem/understanding_defects
DOI: 10.5281/zenodo.8424580
title: Data for: Thermal volume expansion as seen by Temperature-modulated optical refractometry, Oscillating dilatometry and Thermo-mechanical analysis

description: The data is supplementary to the publication "Thermal volume expansion as seen by Temperature-modulated optical refractometry, Oscillating dilatometry and Thermo-mechanical analysis", DOI: 10.1016/j.polymertesting.2024.108340

Key words: Thermal volume expansion, Temperature-modulated optical refractometry, Thermo-mechanical analysis, Dilatometry, Epoxy thermoset

The data sets contain measured data on Thermo-mechanical analysis (TMA) and Temperature-modulated optical refractometry (TMOR) of a model epoxy polymer in the viscoelastic temperature range.

Material details:



Bisphenol A Diglycidyl ether (DGEBA, DER332) + Difunctional and trifunctional carbocylic acids (Pripol1040, Croda) +pyridine

n-tetradecane, C14H30


Funding received from:



German Research Foundation (DFG), project number: 521902629.

(Austrian) Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology and the Federal Ministry for Digital and Economic Affairs (COMET-Module project “Chemitecture”, project-no.: 21647048)
DOI: 10.5281/zenodo.8424581
title: Data for: Thermal volume expansion as seen by Temperature-modulated optical refractometry, Oscillating dilatometry and Thermo-mechanical analysis

description: The data is supplementary to the publication "Thermal volume expansion as seen by Temperature-modulated optical refractometry, Oscillating dilatometry and Thermo-mechanical analysis", DOI: 10.1016/j.polymertesting.2024.108340

Key words: Thermal volume expansion, Temperature-modulated optical refractometry, Thermo-mechanical analysis, Dilatometry, Epoxy thermoset

The data sets contain measured data on Thermo-mechanical analysis (TMA) and Temperature-modulated optical refractometry (TMOR) of a model epoxy polymer in the viscoelastic temperature range.

Material details:



Bisphenol A Diglycidyl ether (DGEBA, DER332) + Difunctional and trifunctional carbocylic acids (Pripol1040, Croda) +pyridine

n-tetradecane, C14H30


Funding received from:



German Research Foundation (DFG), project number: 521902629.

(Austrian) Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology and the Federal Ministry for Digital and Economic Affairs (COMET-Module project “Chemitecture”, project-no.: 21647048)
DOI: 10.12751/g-node.7q2dbp
title: Single-cell recordings from three cortical parietal areas during an instructed-delay reaching task

description: Six electrophysiological datasets were recorded from three regions (V6A, PEc, PE) within the superior parietal lobule (SPL) of two Macaca fascicularis monkeys during a task involving instructed-delay foveated reaching.
description: IsSupplementTo: Diomedi, S., Vaccari, F. E., Filippini, M., Fattori, P., Galletti, C. (2020). Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching. IScience, 23(10), 101616. (https://doi.org/10.1016/j.isci.2020.101616)
description: IsSupplementTo: Diomedi, S., Vaccari, F. E., Galletti, C., Hadjidimitrakis, K., & Fattori, P. (2021). Motor-like neural dynamics in two parietal areas during arm reaching. Progress in Neurobiology, 205, 102116. (https://doi.org/10.1016/j.pneurobio.2021.102116)
description: IsSupplementTo: De Vitis, M., Tabanelli, M., Breveglieri, R., Filippini, M., Galletti, C., Fattori, P. (2022). The Superior Parietal Lobule of Macaque Monkey: Relative Influence of Gaze and Static Arm Position during Reaching. Eneuro, 9(1), ENEURO.0362-21.2021. (https://doi.org/10.1523/ENEURO.0362-21.2021)
description: IsSupplementTo: Filippini, M., Borra, D., Ursino, M., Magosso, E., Fattori, P. (2022). Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. Neural Networks, 151, 276–294. (https://doi.org/10.1016/j.neunet.2022.03.044)
description: IsSupplementTo: Hadjidimitrakis, K., De Vitis, M., Ghodrati, M., Filippini, M., Fattori, P. (2022). Anterior-posterior gradient in the integrated processing of forelimb movement direction and distance in macaque parietal cortex. Cell Reports, 41(6), 111608. (https://doi.org/10.1016/j.celrep.2022.111608)
DOI: 10.6084/m9.figshare.25461628
title: TTN Lower limbs

description: Lower-limb muscle MR images were reviewed and, if available, 30 muscles were systematically scored with a modified Mercuri score system. Extensor digitorum longus and extensor hallucis longus were evaluated together. A normal muscle was scored by 0. A score of 1 for scattered small areas of increase density. If muscle was replaced in a 30-60%, we scored 2 and if the replacement implies 60-90%, 3. A score of 4 was used for muscles with complete or nearly complete fat replacement. Each patient was evaluated by two independent reviewers (DGA and LCC). Discrepancies were discussed, and a final score was decided by consensus. Significant asymmetric involvement between right and left limb was also evaluated in each muscle.<br>
DOI: 10.6084/m9.figshare.25461628.v1
title: TTN Lower limbs

description: Lower-limb muscle MR images were reviewed and, if available, 30 muscles were systematically scored with a modified Mercuri score system. Extensor digitorum longus and extensor hallucis longus were evaluated together. A normal muscle was scored by 0. A score of 1 for scattered small areas of increase density. If muscle was replaced in a 30-60%, we scored 2 and if the replacement implies 60-90%, 3. A score of 4 was used for muscles with complete or nearly complete fat replacement. Each patient was evaluated by two independent reviewers (DGA and LCC). Discrepancies were discussed, and a final score was decided by consensus. Significant asymmetric involvement between right and left limb was also evaluated in each muscle.<br>
DOI: 10.18739/a2v97zt20
title: Lake ice thickness observations for arctic Alaska from 1962 to 2023

description: Lake ice thickness has been systematically measured in a set of 39 lakes located in seven representative study areas ranging from the coastal plain to the mountains of Alaska's North Slope from 2012 to 2023 as part of the CircumArctic Lake Observation Network (CALON), the Arctic Lake Ice Systems Science (ALISS), the Fish Creek Watershed Observatory (FCWO) projects. Measurements are made in the late winter (March to May) when lake ice thickness is close to its annual maximum. Average ice thicknesses are reported for study area per year based on average from many lakes and multiple measurements per lake (typically made near the lake center). Maximum ice thickness is estimated based on fitting an ice growth curve based on local air temperature records (and in most cases snow depth and density) to observations. Additional late winter ice thickness data from these same study areas collected by other project is also reported for the period from 1962 to 2011 and estimates of maximum ice thickness made using the same technique. Only lakes with floating ice regimes (i.e. depths greater than maximum ice thickness) are reported in this dataset.
DOI: 10.18742/25428598
title: Supplementary material 1 (Chapter 3). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". Contains conservation status, species taxonomic classification, habitat, ecology, distribution, site coordinates, references and notes for each group of freshwater organisms found in the Okavango Delta (Botswana).
DOI: 10.18742/25428598.v1
title: Supplementary material 1 (Chapter 3). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". Contains conservation status, species taxonomic classification, habitat, ecology, distribution, site coordinates, references and notes for each group of freshwater organisms found in the Okavango Delta (Botswana).
DOI: 10.5281/zenodo.10854693
title: Single Cell CPTAC Renal Cell Carcinoma

description: These data include a subset of single-cell samples from the CPTAC Renal Cell Carcinoma data processed using the following steps:



Loom files were read into R and converted into SingleCellExperiment objects.

Ensembl gene ID's were matched to HGNC symbols, chromosome name, starting position, and ending position via Biomart using the scater R package.

Size factors were computed using the scran R package.

UMAP dimensions were computed using the scater R package.

Probes without matching HGNC symbols were removed.

Where duplicate HGNC symbols were present, the gene with the maximum normalized range was retained.

Cell types were inferred using the scMRMA R package.

Cells with less than or equal to 1,000 features were removed.

Cells with mitochondrial reads greater than or equal to 50% were removed.

Expression data for podocytes and macrophages were saved separately for each sample.

For podocytes and macrophages for each sample, expression data were projected onto the first 100 principal components using the irlba R package. The results are available from CPTAC_RCC_PCA.zip.

For macrophages for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the M0 markers CSF1R, CD14, CD68, and CD11B, the M1 markers CD86, MARC0, CXCL9, CXCL10, CXCL11, NOS2, SOCS1, and CD64, and the M2 markers TGM2, CD23, ARG1, CCL22, CD163, and CD206 (from PMC8268869). Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory from M0 -> M1 -> M2 was evident using these markers were retained.

For podocytes for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the dedifferentiation markers DACH1 (from PMC5908116) and PTPRO (from PMID9639039. Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory of dedifferentiation was evident using these markers were retained. These pseudotime assignments and the macrophage assignments are available from CPTAC_RCC_pseudotime_all_cells.zip.

For podocytes and macrophages for each sample, 10-fold cross-validation matrices for expression, PCA, and pseudotime were generated across 5 random splits, for a total of 50 files per cell type, per sample. These files are available from CPTAC_RCC_expression_all_cells.zip.

Expression data were subset to include 63 randomly-selected podocytes and 63 randomly-selected macrophages to ensure balanced data. These expression data are available from CPTAC_RCC_expression.zip. Pseudotimes were also subset and are available in CPTAC_RCC_pseudotime.zip.

Expression data were projected onto the first 100 principal components. These data are available from CPTAC_RCC_expression_dimReduced.zip.
DOI: 10.5281/zenodo.10854694
title: Single Cell CPTAC Renal Cell Carcinoma

description: These data include a subset of single-cell samples from the CPTAC Renal Cell Carcinoma data processed using the following steps:



Loom files were read into R and converted into SingleCellExperiment objects.

Ensembl gene ID's were matched to HGNC symbols, chromosome name, starting position, and ending position via Biomart using the scater R package.

Size factors were computed using the scran R package.

UMAP dimensions were computed using the scater R package.

Probes without matching HGNC symbols were removed.

Where duplicate HGNC symbols were present, the gene with the maximum normalized range was retained.

Cell types were inferred using the scMRMA R package.

Cells with less than or equal to 1,000 features were removed.

Cells with mitochondrial reads greater than or equal to 50% were removed.

Expression data for podocytes and macrophages were saved separately for each sample.

For podocytes and macrophages for each sample, expression data were projected onto the first 100 principal components using the irlba R package. The results are available from CPTAC_RCC_PCA.zip.

For macrophages for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the M0 markers CSF1R, CD14, CD68, and CD11B, the M1 markers CD86, MARC0, CXCL9, CXCL10, CXCL11, NOS2, SOCS1, and CD64, and the M2 markers TGM2, CD23, ARG1, CCL22, CD163, and CD206 (from PMC8268869). Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory from M0 -> M1 -> M2 was evident using these markers were retained.

For podocytes for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the dedifferentiation markers DACH1 (from PMC5908116) and PTPRO (from PMID9639039. Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory of dedifferentiation was evident using these markers were retained. These pseudotime assignments and the macrophage assignments are available from CPTAC_RCC_pseudotime_all_cells.zip.

For podocytes and macrophages for each sample, 10-fold cross-validation matrices for expression, PCA, and pseudotime were generated across 5 random splits, for a total of 50 files per cell type, per sample. These files are available from CPTAC_RCC_expression_all_cells.zip.

Expression data were subset to include 63 randomly-selected podocytes and 63 randomly-selected macrophages to ensure balanced data. These expression data are available from CPTAC_RCC_expression.zip. Pseudotimes were also subset and are available in CPTAC_RCC_pseudotime.zip.

Expression data were projected onto the first 100 principal components. These data are available from CPTAC_RCC_expression_dimReduced.zip.
DOI: 10.18742/25428592
title: Supplementary material 2 (Chapter 3). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". The file contains tables of references for Chapter 3 and tables with species number for each main group of freshwater organisms found in the Okavango Delta (Botswana).
DOI: 10.18742/25428592.v1
title: Supplementary material 2 (Chapter 3). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". The file contains tables of references for Chapter 3 and tables with species number for each main group of freshwater organisms found in the Okavango Delta (Botswana).
DOI: 10.18742/25435369
title: Supplementary material 3 (Chapter 5). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". This is the master spreadsheet that contains all data from the sorting of bulk macroinvertebrate samples and chironomid slides. It is divided into 12 sheets. It also includes a list of all morphospecies, an analysis of morphospecies per site and a comparison between eDNA and taxonomical data. It complements Chapter 5 of the thesis.<br>
DOI: 10.18742/25435369.v1
title: Supplementary material 3 (Chapter 5). Data supporting the thesis, "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques"

description: Supplementary material of the PhD thesis entitled: "Characterising freshwater macroinvertebrate diversity in the Okavango Delta (Botswana) using taxonomic and molecular techniques". This is the master spreadsheet that contains all data from the sorting of bulk macroinvertebrate samples and chironomid slides. It is divided into 12 sheets. It also includes a list of all morphospecies, an analysis of morphospecies per site and a comparison between eDNA and taxonomical data. It complements Chapter 5 of the thesis.<br>