cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24598458
title: <b>Changes in the functional composition of the understorey across European temperate forests, in relation to changes in canopy openness, changes in N deposition rates and climate warming</b>

description: Dataset used in "Combining multiple investigative approaches to unravel functional responses to global change in the understorey of temperate forests" published in Global Change Biology (accepted nov 2023).Data on changes in the functional composition (cover, CWM plant heigth and CWM specific leaf area) of herbaceous understorey communities in temperate forests as a response to temperature changes, changes in atmospheric deposition rates and changes in light availability. Three datasets are included:<b>Opportunistic resurvey database </b>(opportunistic_resurvey_database.csv): derived from the forestREplot database: a database of forest herb layer resurvey plots, spread across the temperate zones of the globe. The database is used to quantify changes in herb layer composition and forest functioning, and to assess the effects of global environmental changes such as nitrogen deposition and climate change. Original community composition data can be found here: http://forestreplot.ugent.be.<b>Orthogonally-distributed resurvey study </b>(pastforward_resurvey_study.csv): based on a distributed understorey resurvey study carried out in the frame of ERC project PASTFORWARD (see http://pastforward.ugent.be).<b>Manipulative global-change experiment </b>(pastforward_mesocosm_experiment.csv):<b> </b>based on a mesocosm experiment (understorey communities, planted in plastic trays and dug into the soil of a temperate forest in Belgium (Aelmoeseneie forest), and exposed to warming, light addition and N fertilization) set up in the frame of ERC project PASTFORWARD (see http://pastforward.ugent.be).
DOI: 10.5281/zenodo.10209645
title: Quantum hard disks on a lattice

description: Data used in the figures of the paper to appear under the title "Quantum hard disks on a lattice". All the data is written in csv files.
DOI: 10.5281/zenodo.10209646
title: Quantum hard disks on a lattice

description: Data used in the figures of the paper to appear under the title "Quantum hard disks on a lattice". All the data is written in csv files.
DOI: 10.25592/uhhfdm.13641
title: PA3_70

description: PA3_70
DOI: 10.25592/uhhfdm.13640
title: PA3_70

description: PA3_70
DOI: 10.17029/fd6affed-d6ee-4b91-a49d-ab8e5636696e
title: Supplementary data for 'Level 7 degree apprenticeships – a story of challenge, resilience and success'.

description: Appendix A -Interview Template
DOI: 10.5281/zenodo.10074436
title: Data, code and supplementary plots for "A hierarchical spline model for correcting and hindcasting temperature data"

description: Data, code and supplementary plots for the paper "A hierarchical spline model for correcting and hindcasting temperature data". Please see README.txt for detailed description of the files and relevant instructions.
DOI: 10.5281/zenodo.6814235
title: Data, code and supplementary plots for "A hierarchical spline model for correcting and hindcasting temperature data"

description: Data, code and supplementary plots for the paper "A hierarchical spline model for correcting and hindcasting temperature data". Please see README.txt for detailed description of the files and relevant instructions.
DOI: 10.5281/zenodo.6814236
title: Data, code and supplementary material for "A hierarchical spline model for correcting flawed temperature data"

description: Data, code and supplementary plots for the paper "A hierarchical spline model for correcting flawed temperature data". Please see README.txt for detailed description of the files and relevant instructions.
DOI: 10.5281/zenodo.7747768
title: Data, code and supplementary plots for "A hierarchical spline model for correcting flawed temperature data"

description: Data, code and supplementary plots for the paper "A hierarchical spline model for correcting flawed temperature data". Please see README.txt for detailed description of the files and relevant instructions.
DOI: 10.5281/zenodo.10141651
title: Decoding French

description: Data, task and analyses related to a study on the challenges of decoding French.
DOI: 10.5281/zenodo.8317712
title: Decoding French

description: Data, task and analyses related to a study on the challenges of decoding French.
DOI: 10.6084/m9.figshare.24637938
title: Melanoma dataset

description: <b>Dataset description</b>Study population: all incident cases of invasive cutaneous malignant melanoma (CMM) recorded in the Veneto Cancer Registry (Registro Tumori del Veneto – RTV) in 2015 (1,050 cases) and 2017 (1,205 cases) for which the number of mitoses was available.Study variables: sociodemographics (age and sex); clinico-pathological features (histological subtypes of CMM, tumor site, Breslow thickness, Clark level, CMM growth phase, ulceration, regression, tumor-infiltrating lymphocytes (TIL), mitotic count (number of mitoses per mm<sup>2</sup>, T, N, and M AJCC stages at diagnosis (8th edition), and the number of positive lymph nodes after sentinel lymph node biopsy (SLNB)).CSV file legend:<b>ID_prog</b>subject unique identifier<b>age</b>age (in years) at CMM diagnosis<b>sex</b>"F" = female, "M" = male<b>year</b>year of diagnosis<b>histology</b>histological subtypes of CMM<b>site</b>primary tumor site<b>pT</b>AJCC (8th edition) T value<b>pN</b>AJCC (8th edition) N value<b>pM</b>AJCC (8th edition) M value<b>TNM_stage</b>AJCC (8th edition) TNM stage<b>breslow</b>Breslow thickness (in mm)<b>clark</b>Clark level<b>ulceration</b>presence of ulceration<b>regression</b>presence of regression<b>til</b>presence of tumor-infiltrating lymphocytes (TIL)<b>growth</b>CMM growth phase<b>positive_slnb</b>number of positive lymph nodes after sentinel lymph node biopsy (SLNB)<b>mitoses</b>number of mitoses per mm<sup>2</sup><b>status</b>survival status (updated on December 31st, 2020): 0 = alive, 1 = dead<b>survival</b>follow-up time from CMM diagnosis (in days, updated on December 31st, 2020)<br>Correspondence to Claudia Cozzolino, Soft-Tissue, Peritoneum, and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV- IRCCS, Padova, Italy. E-mail: claudia.cozzolino@iov.veneto.it
DOI: 10.6084/m9.figshare.24638064
title: Anticholinergic deprescribing interventions for reducing risk of cognitive decline or dementia in older adults with and without prior cognitive imparment: risk of bias ratings

description: Risk of bias ratings for anticholinergic interventions to improve cogntive outcomes
DOI: 10.35097/1822
title: 2D images of CT scans of carbon fiber reinforced polyamide 6

description: This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images. Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).
DOI: 10.6084/m9.figshare.24550351
title: Data for Lingo3DMol

description: "DUDE_pocket.tar.gz" contains the pocket structures of the 101 DUDE targets used for model evaluation."lingo3dmol_confs.tar.gz" includes molecules generated by Lingo3DMol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."pocket2mol_confs.tar.gz" consists of molecules generated by Pocket2Mol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."targetdiff_confs.tar.gz" contains molecules generated by TargitDiff for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."random_confs.tar.gz" contains random molecules for the 101 DUD-E targets. It includes 3D conformations obtained through docking.The molecule files in "*_confs.tar.gz" files are named using the format {pdb_id}-{mol_id}.Additional information about the generated molecules, including mol_id, SMILES, and metric scores involved in the evaluation, can be found in the "*_moleculars_metric_score_with_dude.csv" files."Training_data.tar.gz" contains all the complex structures used for model fine-tuning."Training_data_homology_with_DUDE.csv" contains information about the PDB IDs in the training set and their maximum sequence identity with the DUD-E targets used in the evaluation."Pretraining_molecules_SMILES" is a dataset that contains a specific subset of data used for pretraining. This dataset consists of 1.4 million publicly available molecules that were utilized during the pretraining phase.
DOI: 10.6084/m9.figshare.24550351.v2
title: Data for Lingo3DMol

description: "DUDE_pocket.tar.gz" contains the pocket structures of the 101 DUDE targets used for model evaluation."lingo3dmol_confs.tar.gz" includes molecules generated by Lingo3DMol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."pocket2mol_confs.tar.gz" consists of molecules generated by Pocket2Mol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."targetdiff_confs.tar.gz" contains molecules generated by TargitDiff for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."random_confs.tar.gz" contains random molecules for the 101 DUD-E targets. It includes 3D conformations obtained through docking.The molecule files in "*_confs.tar.gz" files are named using the format {pdb_id}-{mol_id}.Additional information about the generated molecules, including mol_id, SMILES, and metric scores involved in the evaluation, can be found in the "*_moleculars_metric_score_with_dude.csv" files."Training_data.tar.gz" contains all the complex structures used for model fine-tuning."Training_data_homology_with_DUDE.csv" contains information about the PDB IDs in the training set and their maximum sequence identity with the DUD-E targets used in the evaluation.
DOI: 10.6084/m9.figshare.24638077
title: Still air resistance dataset from Still air resistance during walking and running

description: In everyday life during terrestrial locomotion our body interacts with two media opposing the forward movement of the body: the ground and the air. Whereas the work done to overcome the ground reaction force has been extensively studied, the work done to overcome still air resistance has been only indirectly estimated by means of theoretical studies and by measurements of the force exerted on puppets simulating the geometry of the human body. In this study, we directly measured the force exerted by still air resistance on eight male subjects during walking and running on an instrumented treadmill with a belt moving at the same speed of a flow of laminar air facing the subject. Overall, the coefficient of proportionality between drag and velocity squared (<i>A</i><sub>eff</sub>) was smaller during running than walking. During running <i>A</i><sub>eff</sub> decreased progressively with increasing average velocity up to an apparently constant, velocity independent value, similar to that predicted in the literature using indirect methods. A predictive equation to estimate drag as a function of the speed and the height of the running subject is provided.
DOI: 10.6084/m9.figshare.13241972.v14
title: DEBBIES. A database to compare life history strategies across ectotherms.

description: Demographic models are used to explore how survival, growth and reproduction rates structure variation in life history traits (e.g., longevity, generation time, age at maturity) and strategies (pace of life and reproductive strategy) across species. This study presents the DEBBIES dataset that contains estimates of eight life history traits (length at birth, puberty and maximum length, maximum reproduction rate, fraction energy allocated to respiration versus reproduction, von Bertalanffy growth rate, juvenile and adult mortality rate) for 185 ectotherm species. The dataset can be used to parameterise dynamic energy budget integral projection models (DEB-IPMs) to calculate key demographic quantities like population growth rate and demographic resilience, but also link to conservation status, biogeographical characteristics, and evolutionary biology. Our technical validation shows a satisfactory agreement between observed and predicted longevity, generation time, age at maturity across all species. Compared to existing datasets, DEBBIES accommodates (i) easy cross-taxonomical comparisons because all DEB-IPMs have the same structure, (ii) many data-deficient species because no long-term individual data are required, and (iii) population forecasts to novel conditions because DEB-IPMs include a mechanistic description of the tradeoff between growth and reproduction. This dataset has the potential for biologists to unlock general predictions on ectotherm population responses from only a few key life history traits.
DOI: 10.6084/m9.figshare.22182790
title: Data and code for 'Uncovering a phylogenetic signal in plant biopolymer chemistry: a comparison of sporopollenin isolation approaches for use in palynological research'

description: R code and FTIR spectral data to recreate all analyses in the paper. Each data file contains the IR spectra for one experimental treatment, plus associated metadata.To run the R code, put all files into one folder, and set this as the working directory in the R session.
DOI: 10.6084/m9.figshare.24638076
title: HbR dataset

description: HbR statistical data
DOI: 10.25388/nwu.24635427
title: Heated Two-Tank System Data - Upgraded System

description: The experimental data was obtained while characterising the upgraded heated two-tank system. The data can be visualised using the "NWU Heated Two-Tank System Data Visualisation - Upgraded System" Jupyter NotebookThese datasets were used to characterise the upgraded heated two-tank system functionality and fault emulation capabilities
DOI: 10.25549/uschist-c104-266651
title: USC Faculty Senate minutes, 1962-05-16
DOI: 10.25549/uschist-c104-266660
title: USC Faculty Senate minutes, 1962-10-17
DOI: 10.25549/uschist-c104-266665
title: USC Faculty Senate minutes, 1962-11-21
DOI: 10.25549/uschist-c104-266670
title: USC Faculty Senate minutes, 1962-12-19
DOI: 10.25549/uschist-c104-267961
title: USC Academic Senate minutes, 2006-10-18
DOI: 10.25549/uschist-c104-267965
title: USC Academic Senate minutes, 2006-12-13
DOI: 10.25549/uschist-c104-267970
title: USC Academic Senate minutes, 2007-01-17
DOI: 10.25549/uschist-c104-267975
title: USC Academic Senate minutes, 2007-02-14
DOI: 10.25549/uschist-c104-267979
title: USC Academic Senate minutes, 2007-05-09
DOI: 10.25549/uschist-c104-266676
title: USC Faculty Senate minutes, 1963-01-16
DOI: 10.25549/uschist-c104-266680
title: USC Faculty Senate minutes, 1963-03-20
DOI: 10.25549/uschist-c104-266684
title: USC Faculty Senate minutes, 1963-04-17
DOI: 10.25549/uschist-c104-266689
title: USC Faculty Senate minutes, 1963-05-15
DOI: 10.25549/uschist-c104-266696
title: USC Faculty Senate minutes, 1963-10-16
DOI: 10.25549/uschist-c104-267984
title: USC Academic Senate minutes, 2007-09-19
DOI: 10.25549/uschist-c104-267988
title: USC Academic Senate minutes, 2007-10-17
DOI: 10.25549/uschist-c104-267994
title: USC Academic Senate minutes, 2007-11-14
DOI: 10.25549/uschist-c104-267998
title: USC Academic Senate minutes, 2007-12-12
DOI: 10.25549/uschist-c104-266703
title: USC Faculty Senate minutes, 1963-11-20
DOI: 10.25549/uschist-c104-266711
title: USC Faculty Senate minutes, 1963-12-18
DOI: 10.25549/uschist-c104-266714
title: USC Faculty Senate minutes, 1964-01-15
DOI: 10.25549/uschist-c104-268004
title: USC Academic Senate minutes, 2008-01-16
DOI: 10.25549/uschist-c104-268008
title: USC Academic Senate minutes, 2008-01-21
DOI: 10.25549/uschist-c104-268012
title: USC Academic Senate minutes, 2008-02-20
DOI: 10.25549/uschist-c104-268016
title: USC Academic Senate minutes, 2008-05-07
DOI: 10.25549/uschist-c104-266725
title: USC Faculty Senate minutes, 1964-02-19
DOI: 10.25549/uschist-c104-266728
title: USC Faculty Senate minutes, 1964-03-18
DOI: 10.25549/uschist-c104-266733
title: USC Faculty Senate minutes, 1964-04-15
DOI: 10.25549/uschist-c104-266739
title: USC Faculty Senate minutes, 1964-05-20
DOI: 10.25549/uschist-c104-268026
title: USC Academic Senate minutes, 2008-08-20
DOI: 10.25549/uschist-c104-268032
title: USC Academic Senate minutes, 2008-09-17
DOI: 10.25549/uschist-c104-268038
title: USC Academic Senate minutes, 2008-10-15
DOI: 10.25549/uschist-c104-266747
title: USC Faculty Senate minutes, 1964-10-21
DOI: 10.25549/uschist-c104-266754
title: USC Faculty Senate minutes, 1964-12-16
DOI: 10.25549/uschist-c104-266759
title: USC Faculty Senate minutes, 1965-01-20
DOI: 10.25549/uschist-c104-266763
title: USC Faculty Senate minutes, 1965-02-17
DOI: 10.25549/uschist-c104-268043
title: USC Academic Senate minutes, 2008-11-19
DOI: 10.25549/uschist-c104-268048
title: USC Academic Senate minutes, 2008-12-10
DOI: 10.25549/uschist-c104-268057
title: USC Academic Senate minutes, 2009-05-13
DOI: 10.25549/uschist-c104-268070
title: USC Academic Senate minutes, 2009-08-18
DOI: 10.25549/uschist-c104-266768
title: USC Faculty Senate minutes, 1965-03-17
DOI: 10.25549/uschist-c104-266772
title: USC Faculty Senate minutes, 1965-04-21
DOI: 10.25549/uschist-c104-266776
title: USC Faculty Senate minutes, 1965-05-19
DOI: 10.25549/uschist-c104-266783
title: USC Faculty Senate minutes, 1965-10-20
DOI: 10.25549/uschist-c104-268078
title: USC Academic Senate minutes, 2009-09-16
DOI: 10.25549/uschist-c104-268088
title: USC Academic Senate minutes, 2009-10-21
DOI: 10.25549/uschist-c104-268099
title: USC Academic Senate minutes, 2009-11-18
DOI: 10.25549/uschist-c104-268107
title: USC Academic Senate minutes, 2009-12-09
DOI: 10.25549/uschist-c104-268120
title: USC Academic Senate minutes, 2010-01-20
DOI: 10.25549/uschist-c104-266788
title: USC Faculty Senate minutes, 1965-11-17
DOI: 10.25549/uschist-c104-266791
title: USC Faculty Senate minutes, 1966-01-19
DOI: 10.25549/uschist-c104-266794
title: USC Faculty Senate minutes, 1966-02-16
DOI: 10.25549/uschist-c104-266800
title: USC Faculty Senate minutes, 1966-03-16
DOI: 10.25549/uschist-c104-268128
title: USC Academic Senate minutes, 2010-03-31
DOI: 10.25549/uschist-c104-268137
title: USC Academic Senate minutes, 2010-04-21
DOI: 10.25549/uschist-c104-268146
title: USC Academic Senate minutes, 2010-05-12
DOI: 10.25549/uschist-c104-268155
title: USC Academic Senate minutes, 2010-09-15
DOI: 10.25549/uschist-c104-266810
title: USC Faculty Senate minutes, 1966-04-20
DOI: 10.25549/uschist-c104-266817
title: USC Faculty Senate minutes, 1966-05-18
DOI: 10.25549/uschist-c104-266824
title: USC Faculty Senate minutes, 1966-10-19
DOI: 10.25549/uschist-c104-266828
title: USC Faculty Senate minutes, 1966-11-16
DOI: 10.25549/uschist-c104-266833
title: USC Faculty Senate minutes, 1966-12-14
DOI: 10.25549/uschist-c104-268166
title: USC Academic Senate minutes, 2010-10-20
DOI: 10.25549/uschist-c104-268178
title: USC Academic Senate minutes, 2010-11-17
DOI: 10.25549/uschist-c104-268187
title: USC Academic Senate minutes, 2010-12-08
DOI: 10.25549/uschist-c104-268198
title: USC Academic Senate minutes, 2011-01-19
DOI: 10.25549/uschist-c104-268208
title: USC Academic Senate minutes, 2011-02-16
DOI: 10.18430/m35jvj
title: X-ray diffraction data for the c4-type pyruvate phosphate dikinase: different conformational states of the nucleotide binding domain in the dimer (5JVJ)
DOI: 10.13023/kwrri.wdst.ky4.epanet
title: KY4

description: KY 4 is primarily a loop system in Kentucky with the following assets 4 Tanks, 2 Pumps, and approximately 854446 feet of pipe. KY 4 provides 1.51 million gallons of water per day to its 9,020 customers at a rate which ranges between $6.46 and $7.65 per 1,000 gallons of water. Water loss for KY 4 is estimated at 12% of the water produced. 
description: Copyright: 
© 2016 Lindell E. Ormsbee 
This dataset is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creator and source are credited and that changes (if any) are clearly indicated.
DOI: 10.13023/kwrri.wdst.ky4.kypipe
title: KY4

description: KY 4 is primarily a loop system in Kentucky with the following assets 4 Tanks, 2 Pumps, and approximately 854446 feet of pipe. KY 4 provides 1.51 million gallons of water per day to its 9,020 customers at a rate which ranges between $6.46 and $7.65 per 1,000 gallons of water. Water loss for KY 4 is estimated at 12% of the water produced.
description: Copyright: 
© 2016 Lindell E. Ormsbee 
This dataset is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creator and source are credited and that changes (if any) are clearly indicated.
DOI: 10.13023/10.13023/kwrri.wdst.ky6.kypipe
title: Water Distribution System 6: KY 6

description: Description: 
KY 6 is primarily a loop system in Kentucky with the following assets: 3 Tanks, 2 Pumps, 1 Water Treatment Plant, and approximately 308719 feet of pipe. KY 6 provides 1.56 million gallons of water per day to its 2,850 customers at a rate which ranges between $7.38 and $8.12 per 1,000 gallons of water. Water loss for KY 6 is estimated at 19% of the water produced.

Researcher ORCID Identifier: 
https://orcid.org/0000-0001-6762-5847

Copyright: 
© 2016 Lindell E. Ormsbee
This dataset is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creator and source are credited and that changes (if any) are clearly indicated.
DOI: 10.13023/kwrri.wdst.ky5.epanet
title: KY5

description: KY 5 is primarily a loop system in Kentucky with the following assets: 3 Tanks, 9 Pumps, 1 Pumping Stations, 1 Water Treatment Plant, and approximately 276150 feet of pipe. KY 5 provides 2.28 million gallons of water per day to its 2,579 customers at a rate which ranges between $5.00 and $5.54 per 1,000 gallons of water. Water loss for KY 5 is estimated at 7% of the water produced.
description: Copyright: 
© 2016 Lindell E. Ormsbee 
This dataset is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creator and source are credited and that changes (if any) are clearly indicated.
DOI: 10.13023/kwrri.wdst.ky5.kypipe
title: KY5

description: KY 5 is primarily a loop system in Kentucky with the following assets: 3 Tanks, 9 Pumps, 1 Pumping Stations, 1 Water Treatment Plant, and approximately 276150 feet of pipe. KY 5 provides 2.28 million gallons of water per day to its 2,579 customers at a rate which ranges between $5.00 and $5.54 per 1,000 gallons of water. Water loss for KY 5 is estimated at 7% of the water produced.
description: Copyright: 
© 2016 Lindell E. Ormsbee 
This dataset is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creator and source are credited and that changes (if any) are clearly indicated.