cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8152564
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leslie Hubricht, http://www.wikidata.org/entity/Q6530901. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6530901
DOI: 10.5281/zenodo.8152568
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Juan Héctor Hunziker, http://www.wikidata.org/entity/Q5547748. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5547748
DOI: 10.5281/zenodo.8152567
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Juan Héctor Hunziker, http://www.wikidata.org/entity/Q5547748. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5547748
DOI: 10.5281/zenodo.8152571
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peter Arthur Hyypio, http://www.wikidata.org/entity/Q101209114. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101209114
DOI: 10.5281/zenodo.8152570
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peter Arthur Hyypio, http://www.wikidata.org/entity/Q101209114. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101209114
DOI: 10.5281/zenodo.8152573
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugo Ilse, http://www.wikidata.org/entity/Q11710261. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11710261
DOI: 10.5281/zenodo.8152572
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugo Ilse, http://www.wikidata.org/entity/Q11710261. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11710261
DOI: 10.5281/zenodo.8152577
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tom Iredale, http://www.wikidata.org/entity/Q3530755. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3530755
DOI: 10.5281/zenodo.8152576
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tom Iredale, http://www.wikidata.org/entity/Q3530755. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3530755
DOI: 10.5281/zenodo.8152587
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anton Sofus Bachke Jakhelln, http://www.wikidata.org/entity/Q107087609. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107087609
DOI: 10.5281/zenodo.8152586
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anton Sofus Bachke Jakhelln, http://www.wikidata.org/entity/Q107087609. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107087609
DOI: 10.5281/zenodo.8152589
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Erwin Janchen, http://www.wikidata.org/entity/Q88755. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q88755
DOI: 10.5281/zenodo.8152588
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Erwin Janchen, http://www.wikidata.org/entity/Q88755. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q88755
DOI: 10.5281/zenodo.8152591
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edward Janczewski, http://www.wikidata.org/entity/Q942550. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q942550
DOI: 10.5281/zenodo.8152590
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edward Janczewski, http://www.wikidata.org/entity/Q942550. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q942550
DOI: 10.5281/zenodo.8152595
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Fredrik Jebe, http://www.wikidata.org/entity/Q21516971. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516971
DOI: 10.5281/zenodo.8152594
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Fredrik Jebe, http://www.wikidata.org/entity/Q21516971. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516971
DOI: 10.5281/zenodo.8152597
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Vladimír Jehlík, http://www.wikidata.org/entity/Q21516980. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516980
DOI: 10.5281/zenodo.8152596
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Vladimír Jehlík, http://www.wikidata.org/entity/Q21516980. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516980
DOI: 10.5281/zenodo.7893816
title: Juno MWR Alkali Metal Opacity

description: The dataset contains the processed Juno MWR data from PJ 1, 3-9, 12 and the simulation results from HARP radiative transfer model.
DOI: 10.5281/zenodo.7893817
title: Juno MWR Alkali Metal Opacity

description: The dataset contains the processed Juno MWR data from PJ 1, 3-9, 12 and the simulation results from HARP radiative transfer model.
DOI: 10.5281/zenodo.8152592
title: Juno MWR Alkali Metal Opacity

description: The dataset contains the processed Juno MWR data from PJ 1, 3-9, 12 and the simulation results from HARP radiative transfer model.
DOI: 10.5281/zenodo.8152599
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Fritz Jensen, http://www.wikidata.org/entity/Q23944713. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23944713
DOI: 10.5281/zenodo.8152598
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Fritz Jensen, http://www.wikidata.org/entity/Q23944713. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23944713
DOI: 10.6084/m9.figshare.23681868
title: loadest input data for nutrient

description: Input nutrient data for loadest
DOI: 10.6084/m9.figshare.23681868.v5
title: loadest input data for nutrient

description: Input nutrient data for loadest
DOI: 10.6084/m9.figshare.23681868.v4
title: loadestInput_nutrient.zip

description: Input nutrient data for loadest
DOI: 10.5281/zenodo.8152603
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Howard Samuel Irwin, http://www.wikidata.org/entity/Q4203096. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4203096
DOI: 10.6084/m9.figshare.23676582.v3
title: loadestInput_carbon.zip

description: Input carbon data for loadest
DOI: 10.5281/zenodo.8151332
title: Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield

description: Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield Six flow conditions over a rough bed of spheres with 24mm diameter. PIV plane was at the centerline of the flow shining through the bed of spheres. Where the laser PIV plane shone up, the spheres were replaced with translucent hollow spheres to allow the light to go through. Gradient of the flow was 0.001. Water Depth Flow rate Velocity Reynolds’ number Manning’s number Froude number Weber number Relative Submergence (mm) (l/s) (m/s) (with depth) 49 1.87 0.08 3,740 0.049 0.11 3.96 2.04 69 5.05 0.15 10,100 0.031 0.18 20.53 2.88 89 7.46 0.17 14,920 0.031 0.18 34.74 3.71 109 11.21 0.21 22,420 0.028 0.2 64.05 4.54 129 15.4 0.24 30,800 0.026 0.21 102.14 5.38 149 20.7 0.28 41,400 0.023 0.23 159.77 6.21
DOI: 10.5281/zenodo.8151331
title: Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield

description: Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield Six flow conditions over a rough bed of spheres with 24mm diameter. PIV plane was at the centerline of the flow shining through the bed of spheres. Where the laser PIV plane shone up, the spheres were replaced with translucent hollow spheres to allow the light to go through. Gradient of the flow was 0.001. Water Depth Flow rate Velocity Reynolds’ number Manning’s number Froude number Weber number Relative Submergence (mm) (l/s) (m/s) (with depth) 49 1.87 0.08 3,740 0.049 0.11 3.96 2.04 69 5.05 0.15 10,100 0.031 0.18 20.53 2.88 89 7.46 0.17 14,920 0.031 0.18 34.74 3.71 109 11.21 0.21 22,420 0.028 0.2 64.05 4.54 129 15.4 0.24 30,800 0.026 0.21 102.14 5.38 149 20.7 0.28 41,400 0.023 0.23 159.77 6.21
DOI: 10.5281/zenodo.8152608
title: Data to manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna"

description: Data on herbivore abundance and species richness and grass cover and species richness obtained in the MOSAIK project. Detailed description is provided in the manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna".
DOI: 10.5281/zenodo.8152607
title: Data to manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna"

description: Data on herbivore abundance and species richness and grass cover and species richness obtained in the MOSAIK project. Detailed description is provided in the manuscript "Habitat and bedrock modify the relationship between plant and herbivore species richness in a South-African savanna".
DOI: 10.5281/zenodo.7081159
title: Functional ANOVA for Carbon Flux Estimates: Supporting Data

description: This archive provides input and supporting datasets for the examples presented in "Functional ANOVA for carbon flux estimates from remote sensing data". This version (v0.2.0) of the archive includes sub-directories for each of the three examples of the statistical model with a spatio-temporal error process. R code for running the examples can be found on Github.
DOI: 10.5281/zenodo.7081161
title: Functional ANOVA for Carbon Flux Estimates: Supporting Data

description: This archive input and supporting datasets for the examples presented in "Functional ANOVA for carbon flux estimates from remote sensing data". The archive includes sub-directories for each of the three examples. R code for running the examples can be found on Github.
DOI: 10.6084/m9.figshare.23692086
title: Reid et al. - Alfalfa weevil data.xlsx

description: Alfalfa weevil, <em>Hypera postica </em>(Coleoptera: Curculionidae) mortality data for various insecticide bioassays.
DOI: 10.6084/m9.figshare.21864124
title: Plio-Quaternary coastal landscape evolution of north-western Sicily (Italy)

description: We present and discuss the results of a geomorphological and geological study aimed at reconstructing the Plio-Quaternary evolution of the NW Sicily coastal belt , a low strain rate region in the central Mediterranean Sea. We performed morphometric and field analysis of Quaternary marine terraces extracting more than 300 shoreline location points subdivided into six orders. The obtained dataset was validate by investigating the morphological changes along topographic profiles and comparing the extracted locations and elevations with the stratigraphic boundaries in the Plio-Quaternary units. We distinguished two contiguous coastal sectors characterized by different paleo-shoreline elevations and Plio-Quaternary evolution, whose estimated uplift rates fit well with the well-known, regional eastward uplift rate increase along the Northern Sicilian continental margin. Obtained results, summarized in a geomorphological map and a morpho-evolutionary model, provide new valuable data to characterize the active deformation processes and the seismotectonic setting in this critical sector of the Africa-Europe plate boundary.
DOI: 10.6084/m9.figshare.23692095
title: LARRY LT-scRNA-seq dataset formatted for timepoint recovery

description: fname = "adata.Weinreb2020.in_vitro.task_01.timepoint_recovery.h5ad" <br>
DOI: 10.6084/m9.figshare.23692095.v1
title: LARRY LT-scRNA-seq dataset formatted for timepoint recovery

description: fname = "adata.Weinreb2020.in_vitro.task_01.timepoint_recovery.h5ad" <br>
DOI: 10.18115/d5ks6s
title: ERPLAB Decoding Tutorial Data
DOI: 10.5281/zenodo.8152685
title: saccharina_sessilis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8152684
title: saccharina_sessilis_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.3761562.v2648
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.23692089
title: Supplementary Material and Figures

description: Supplementary Figures and Materials for the article entitled : <strong>Cinacalcet reverses short QT interval in Familial Hypocalciuric Hypercalcemia type 1</strong>
DOI: 10.6084/m9.figshare.23692089.v1
title: Supplementary Material and Figures

description: Supplementary Figures and Materials for the article entitled : <strong>Cinacalcet reverses short QT interval in Familial Hypocalciuric Hypercalcemia type 1</strong>
DOI: 10.5281/zenodo.8137050
title: CPT-1 whole-proteome feature matrices (EVE set)

description: <strong>Cross-protein transfer learning for variant effect prediction</strong> This repository contains the feature matrices for CPT-1 to make variant effect prediction on 3,045 human proteins within the EVE set (Frazer et al., 2021), initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". <strong>Citation</strong> Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.†<br> "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) *These authors contributed equally to this work.<br> †To whom correspondence should be addressed: yss@berkeley.edu DOI: https://doi.org/10.1101/2022.11.15.516532
DOI: 10.5281/zenodo.8137051
title: CPT-1 whole-proteome feature matrices (EVE set)

description: <strong>Cross-protein transfer learning for variant effect prediction</strong> This repository contains the feature matrices for CPT-1 to make variant effect prediction on 3,045 human proteins within the EVE set (Frazer et al., 2021), initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". <strong>Citation</strong> Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.†<br> "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) *These authors contributed equally to this work.<br> †To whom correspondence should be addressed: yss@berkeley.edu DOI: https://doi.org/10.1101/2022.11.15.516532
DOI: 10.5281/zenodo.8137107
title: CPT-1 whole-proteome feature matrices (no-EVE set)

description: <strong>Cross-protein transfer learning for variant effect prediction</strong> This repository contains the feature matrices for CPT-1 to make variant effect prediction on 15,557 human proteins NOT in the EVE set (Frazer et al., 2021), initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". <strong>Citation</strong> Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.†<br> "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) *These authors contributed equally to this work.<br> †To whom correspondence should be addressed: yss@berkeley.edu DOI: https://doi.org/10.1101/2022.11.15.516532
DOI: 10.5281/zenodo.8137108
title: CPT-1 whole-proteome feature matrices (no-EVE set)

description: <strong>Cross-protein transfer learning for variant effect prediction</strong> This repository contains the feature matrices for CPT-1 to make variant effect prediction on 15,557 human proteins NOT in the EVE set (Frazer et al., 2021), initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". <strong>Citation</strong> Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.†<br> "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) *These authors contributed equally to this work.<br> †To whom correspondence should be addressed: yss@berkeley.edu DOI: https://doi.org/10.1101/2022.11.15.516532
DOI: 10.6084/m9.figshare.23686608
title: Classification Data b. Pencillata and b. Graveleons.

description: Classification Data b. Pencillata and b. Graveleons. At 224,224 linear intreprolation with all text converted to black.
DOI: 10.6084/m9.figshare.23686608.v1
title: Classification Data b. Pencillata and b. Graveleons.

description: Classification Data b. Pencillata and b. Graveleons. At 224,224 linear intreprolation with all text converted to black.
DOI: 10.6084/m9.figshare.23692398
title: Plant material segmentation masks

description: Plant material segmentation masks linear interpolated, 1 indicates a plant pixel and 0 background. Derived from bounding boxes and color filtering.
DOI: 10.6084/m9.figshare.23586216
title: FMCW Ultra-Low-Signal Measurement Dataset

description: This dataset (zipped) contains raw data of several fmcw measurements and Python code for data processing. <br> Raw data is contained in following directories, as Matlab '*.mat' files: - "TIA": 10,000 measurements, local oscillator disconnected, RX disconnected - "LO": 10,000 measurements, local oscillator connected, RX disconnected - "d1 large": 5,000 measurements, 50% target at distance d1 - "d2 large": 5,000 measurements, 50% target at distance d2 - "d1": 100,000 measurements, 5% target at distance d1 - "d2": 100,000 measurements, 10% target at distance d2 <br> errata.7z replaces "process_data.py" and pre-computed signal processing. Unpack in the same directory after unpacking the main archive. <br> d2_50p adds another directory "d2_50p" with recorded data of a 50 percent target at distance d2, just before the target was replaced by a 10 percent target to lower the signal strength. process_data.py is updated as well. <br> To process data, run "python process_data.py" in the root directory. Unpack in the same directory after unpacking errata.7z. <br>
DOI: 10.6084/m9.figshare.23586216.v2
title: FMCW Ultra-Low-Signal Measurement Dataset

description: This dataset (zipped) contains raw data of several fmcw measurements and Python code for data processing. <br> Raw data is contained in following directories, as Matlab '*.mat' files: - "TIA": 10,000 measurements, local oscillator disconnected, RX disconnected - "LO": 10,000 measurements, local oscillator connected, RX disconnected - "d1 large": 5,000 measurements, 50% target at distance d1 - "d2 large": 5,000 measurements, 50% target at distance d2 - "d1": 100,000 measurements, 5% target at distance d1 - "d2": 100,000 measurements, 10% target at distance d2 <br> errata.7z replaces "process_data.py" and pre-computed signal processing. Unpack in the same directory after unpacking the main archive. <br> To process data, run "python process_data.py" in the root directory. <br>
DOI: 10.6084/m9.figshare.23692404
title: Instance Segmentation/Object Detection

description: 2 folders with a 2 files are created one for the labels, and the other masks. Stratified into biological and the other non-biological material. Objects are derived from bounding boxes and a color filter.
DOI: 10.6084/m9.figshare.23692404.v1
title: Instance Segmentation/Object Detection

description: 2 folders with a 2 files are created one for the labels, and the other masks. Stratified into biological and the other non-biological material. Objects are derived from bounding boxes and a color filter.