cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8341204
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 2)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341255
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 3)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341254
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 3)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341259
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 4)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341258
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 4)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341265
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 5)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341264
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 5)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341269
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 6)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341268
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 6)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341281
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 7)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8341280
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 7)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8343581
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 8)

description: Multichannel electrophysiology data for the manuscript with the same title. (2306_24)
DOI: 10.5281/zenodo.8343580
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 8)

description: Multichannel electrophysiology data for the manuscript with the same title. (2306_24)
DOI: 10.5281/zenodo.8343583
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 9)

description: Multichannel electrophysiology data for the manuscript with the same title. (2305_20)
DOI: 10.5281/zenodo.8343582
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 9)

description: Multichannel electrophysiology data for the manuscript with the same title. (2305_20)
DOI: 10.25403/upresearchdata.23982396
title: Passenger information system as a strategic information system in the rail industry

description: This dataset presents the role of passenger information systems in railway operations. Included in the dataset are different aspects such as: the passenger information system (PIS) as a strategic tool, link of the PIS to strategy in railway operations and its contribution to service delivery. To mention lastly but not least are the benefits and drawbacks of a fully functional PIS and the factors to be considered when formulating a PIS strategy as well as the strategic PIS framework.
DOI: 10.25403/upresearchdata.23982396.v1
title: Passenger information system as a strategic information system in the rail industry

description: This dataset presents the role of passenger information systems in railway operations. Included in the dataset are different aspects such as: the passenger information system (PIS) as a strategic tool, link of the PIS to strategy in railway operations and its contribution to service delivery. To mention lastly but not least are the benefits and drawbacks of a fully functional PIS and the factors to be considered when formulating a PIS strategy as well as the strategic PIS framework.
DOI: 10.5281/zenodo.8343573
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 10)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8343572
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 10)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8343510
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 11)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8343509
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 11)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.6084/m9.figshare.24146913.v2
title: Metagenome-assembled genome catalog obtained using stool metagenomes of melanoma patients

description: Stool metagenomes from seven published studies were used for obtained of metagenome-assembled genome catalog [Frankel et al., 2017; Gopalakrishnan et al., 2018; Matson et al., 2018; Baruch et al., 2021; Davar et al., 2021; Spencer et al., 2021; Lee et al., 2022].References:1) Frankel, Arthur E., et al. "Metagenomic shotgun sequencing and unbiased metabolomic profiling identify specific human gut microbiota and metabolites associated with immune checkpoint therapy efficacy in melanoma patients." Neoplasia 19.10 (2017): 848-855.2) Gopalakrishnan, Vancheswaran, et al. "Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients." Science 359.6371 (2018): 97-103.3) Matson, Vyara, et al. "The commensal microbiome is associated with anti–PD-1 efficacy in metastatic melanoma patients." <i>Science</i> 359.6371 (2018): 104-108.4) Baruch, Erez N., et al. "Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients." Science 371.6529 (2021): 602-609.5) Davar, Diwakar, et al. "Fecal microbiota transplant overcomes resistance to anti–PD-1 therapy in melanoma patients." Science 371.6529 (2021): 595-602.6) Lee, Karla A., et al. "Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma." Nature Medicine 28.3 (2022): 535-544.7) Spencer, Christine N., et al. "Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response." Science 374.6575 (2021): 1632-1640.
DOI: 10.21335/nmdc-1300334017
title: Hydrographic data collected by CTD in Masfjorden, Vestland, Norway during cruise GOS2012115 in September, 2012.

description: The files contain temperature, practical salinity, (uncalibrated) oxygen, and depth measurements
DOI: 10.5281/zenodo.8343559
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 12)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8343558
title: Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 12)

description: Multichannel electrophysiology data for the manuscript with the same title.
DOI: 10.5281/zenodo.8348265
title: Data set for: Efficient and Stable Coupling of the SuperdropNet Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5)

description: This dataset provides the experiment results for the publication " Efficient and Stable Coupling of the SuperdropNet Deep<br> Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5) ", to be submitted.
DOI: 10.5281/zenodo.8348266
title: Data set for: Efficient and Stable Coupling of the SuperdropNet Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5)

description: This dataset provides the experiment results for the publication " Efficient and Stable Coupling of the SuperdropNet Deep<br> Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5) ", to be submitted.
DOI: 10.6084/m9.figshare.24079587.v1
title: Dataset.sav

description: SPSS form Dataset
DOI: 10.21335/nmdc-1977204878
title: Hydrographic data collected by CTD in Masfjorden, Vestland, Norway during cruise GOS2014117 in September, 2014.

description: The files contain temperature, practical salinity, (uncalibrated) oxygen, and depth measurements
DOI: 10.6084/m9.figshare.24147179
title: Quasi-Newton Acceleration of EM and MM Algorithms via Broyden’s Method

description: The principle of majorization-minimization (MM) provides a general framework for eliciting effective algorithms to solve optimization problems. However, the resulting methods often suffer from slow convergence, especially in large-scale and high-dimensional data settings. This has motivated several acceleration schemes tailored for MM algorithms, but many existing approaches are either problem-specific, or rely on approximations and heuristics loosely inspired by the optimization literature. We propose a novel quasi-Newton method for accelerating any valid MM algorithm, cast as seeking a fixed point of the MM <i>algorithm map</i>. The method does not require specific information or computation from the objective function or its gradient, and enjoys a limited-memory variant amenable to efficient computation in high-dimensional settings. By rigorously connecting our approach to Broyden’s classical root-finding methods, we establish convergence guarantees and identify conditions for linear and super-linear convergence. These results are validated numerically and compared to peer methods in a thorough empirical study, showing that it achieves state-of-the-art performance across a diverse range of problems.
DOI: 10.6084/m9.figshare.24147179.v1
title: Quasi-Newton Acceleration of EM and MM Algorithms via Broyden’s Method

description: The principle of majorization-minimization (MM) provides a general framework for eliciting effective algorithms to solve optimization problems. However, the resulting methods often suffer from slow convergence, especially in large-scale and high-dimensional data settings. This has motivated several acceleration schemes tailored for MM algorithms, but many existing approaches are either problem-specific, or rely on approximations and heuristics loosely inspired by the optimization literature. We propose a novel quasi-Newton method for accelerating any valid MM algorithm, cast as seeking a fixed point of the MM <i>algorithm map</i>. The method does not require specific information or computation from the objective function or its gradient, and enjoys a limited-memory variant amenable to efficient computation in high-dimensional settings. By rigorously connecting our approach to Broyden’s classical root-finding methods, we establish convergence guarantees and identify conditions for linear and super-linear convergence. These results are validated numerically and compared to peer methods in a thorough empirical study, showing that it achieves state-of-the-art performance across a diverse range of problems.
DOI: 10.21335/nmdc-1606845971
title: Hydrographic data collected by CTD in Masfjorden, Vestland, Norway during cruise GOS2017114 in September, 2017.

description: The files contain temperature, practical salinity, (uncalibrated) oxygen, and depth measurements
DOI: 10.21335/nmdc-1228087940
title: Physical and biogeochemical data collected by CTD in Masfjorden and along the coast of Vestland, Norway during cruise GOS2022112 in September, 2022.

description: The files contain temperature, practical salinity, oxygen, and depth measurements binned into 1 db pressure bins, collected using a Seabird SBE 11plus V 5.2 CTD and post-processed with the Seasoft software package during cruise GOS2022112 in September 2022. Data were collected in Masfjorden and nearby fjords in Vestland, Norway. Uncalibrated fluorescence, PAR, SPAR, and transmission data from the CTD are included, when available, as are water sample data (Oxygen) collected during the cruise. The cruise was organized as a part of the course BIO102 run by the Department of Biological Sciences, University of Bergen. Data can be downloaded as one .nc file or three .txt files, where data in the .txt-files are separated into downcast (GEO2022112_CTD.txt) and bottle (GOS2022112_btl.txt) data and where meta-data are provided in GOS2022112_meat-data.txt.
DOI: 10.21335/nmdc-1059994701
title: Hydrographic data collected by CTD in Masfjorden, Vestland, Norway during cruise HM2011622 in September, 2011.

description: The files contain temperature, practical salinity, (uncalibrated) oxygen, and depth measurements
DOI: 10.21335/nmdc-1378009568
title: Hydrographic data collected by CTD in Masfjorden, Vestland, Norway during cruise HM2013624 in September, 2013.

description: The files contain temperature, practical salinity, (uncalibrated) oxygen, and depth measurements
DOI: 10.57745/vaqnu8/0ocb3b
title: 20180329_17_01_20_Cell_1_02.tif

description: Cell 1 beads pictures
DOI: 10.57745/vaqnu8/4invt2
title: 20180329_17_01_20_Cell_3_06.tif

description: Cell 3 beads pictures
DOI: 10.57745/vaqnu8/kfbhn6
title: 20180329_17_01_20_Cell_1_01.tif

description: Cell 1 cells pictures
DOI: 10.57745/vaqnu8/0u3cwo
title: 20180329_17_01_20_Cell_5_09.tif

description: Cell 5 cells pictures
DOI: 10.57745/vaqnu8/7nfioj
title: 20180329_17_01_20_Cell_2_03.tif

description: Cell 2 cells pictures
DOI: 10.57745/vaqnu8/ic85ez
title: 20180329_17_01_20_Cell_3_05.tif

description: Cell 3 cells pictures
DOI: 10.57745/vaqnu8/mbllnq
title: 20180329_17_01_20_Cell_4_08.tif

description: Cell 4 beads pictures
DOI: 10.57745/vaqnu8/mdudtz
title: 20180329_17_01_20_Cell_4_07.tif

description: Cell 4 cells pictures
DOI: 10.57745/vaqnu8/vns5ua
title: 20180329_17_01_20_Cell_5_10.tif

description: Cell 5 beads pictures
DOI: 10.57745/vaqnu8/0v5jfu
title: 20180329_17_01_20_Cell_8_16.tif

description: Cell 8 beads pictures
DOI: 10.57745/vaqnu8/gg8bsi
title: 20180329_17_01_20_Cell_9_18.tif

description: Cell 9 beads pictures
DOI: 10.57745/vaqnu8/i2r9se
title: 20180329_17_01_20_Cell_7_14.tif

description: Cell 7 beads pictures
DOI: 10.57745/vaqnu8/nc15oz
title: 20180329_17_01_20_Cell_2_04.tif

description: Cell 2 beads pictures
DOI: 10.57745/vaqnu8/sgltum
title: 20180329_17_01_20_Cell_6_12.tif

description: Cell 6 beads pictures
DOI: 10.57745/vaqnu8/3hhzrh
title: 20180329_17_01_20_Cell_8_15.tif

description: Cell 8 cells pictures
DOI: 10.57745/vaqnu8/3zaupb
title: 20180329_17_01_20_Cell_7_13.tif

description: Cell 7 cells pictures
DOI: 10.57745/vaqnu8/lwxrp9
title: 20180329_17_01_20_Cell_6_11.tif

description: Cell 6 cells pictures
DOI: 10.57745/vaqnu8/mkigfw
title: 20180329_17_01_20_Cell_10_20.tif

description: Cell 10 beads pictures
DOI: 10.57745/vaqnu8/qn6kmm
title: 20180329_17_01_20_Cell_13_25.tif

description: Cell 13 cells pictures
DOI: 10.57745/vaqnu8/vf6z2t
title: 20180329_17_01_20_Cell_9_17.tif

description: Cell 9 cells pictures
DOI: 10.57745/vaqnu8/diq4q6
title: 20180329_17_01_20_Cell_13_26.tif

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DOI: 10.57745/vaqnu8/hmcnfd
title: 20180329_17_01_20_Cell_11_22.tif

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DOI: 10.57745/vaqnu8/itc6fw
title: 20180329_17_01_20_Cell_12_23.tif

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DOI: 10.57745/vaqnu8/sxkfea
title: 20180329_17_01_20_Cell_12_24.tif

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DOI: 10.57745/vaqnu8/w9dk40
title: 20180329_17_01_20_Cell_11_21.tif

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DOI: 10.57745/vaqnu8/wj5urz
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DOI: 10.57745/vaqnu8/8itwcx
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DOI: 10.57745/vaqnu8/9i2c4p
title: 20180329_17_01_20_Cell_16_32.tif

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DOI: 10.57745/vaqnu8/c4kudg
title: 20180329_17_01_20_Cell_15_30.tif

description: Cell 15 beads pictures
DOI: 10.57745/vaqnu8/gfsf78
title: 20180329_17_01_20_Cell_15_29.tif

description: Cell 15 cells pictures
DOI: 10.57745/vaqnu8/hawive
title: 20180329_17_01_20_Cell_14_27.tif

description: Cell 14 cells pictures
DOI: 10.57745/vaqnu8/tu7jhl
title: 20180329_17_01_20_Cell_16_31.tif

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DOI: 10.57745/vaqnu8/2lply0
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title: 20180329_17_01_20_Cell_18_36.tif

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DOI: 10.57745/vaqnu8/ln8y7n
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DOI: 10.57745/vaqnu8/rczazq
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DOI: 10.57745/vaqnu8/hpt3jq
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DOI: 10.57745/vaqnu8/j9xtbs
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DOI: 10.57745/vaqnu8/lcfosi
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DOI: 10.57745/vaqnu8/xlnhei
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title: 20180329_17_01_20_Cell_22_43.tif

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title: 20180329_17_01_20_Cell_27_53.tif

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title: 20180330_11_24_41_Cell_7_14.tif

description: Cell 7 beads pictures after trypsine addition
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title: 20180330_11_24_41_Cell_5_09.tif

description: Cell 5 cells pictures after trypsine addition
DOI: 10.57745/vaqnu8/sgqzd9
title: 20180330_11_24_41_Cell_16_32.tif

description: Cell 16 beads pictures after trypsine addition
DOI: 10.57745/vaqnu8/xor5pu
title: 20180330_11_24_41_Cell_20_39.tif

description: Cell 20 cells pictures after trypsine addition
DOI: 10.57745/vaqnu8/dtg4it
title: 20180330_11_24_41_Cell_29_58.tif

description: Cell 29 beads pictures after trypsine addition