cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/hn11oo
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_cellsCoordinates_tsne.tsv
DOI: 10.57745/pztxsa
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_MarkerGenes.tsv
DOI: 10.57745/4wco7c
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_cellsCoordinates_umap.tsv
DOI: 10.57745/ca646n
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_normExpressionByCluster.tsv
DOI: 10.57745/v6rqbi
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_cellsClusterIdentity.tsv
DOI: 10.57745/le4bif
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_clustersColor.tab
DOI: 10.57745/ci4zfo
title: clusteringBarplot_byCategory_Condition.html
DOI: 10.57745/2qfxim
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_sessionImage_final.RDATA
DOI: 10.57745/b7gfq9
title: 002_IFNL_Recovery_scRNAseq_20230801_WT_KO_Merge01_normExpressionByClusterAndSample.tsv
DOI: 10.57745/qkrbpx
title: plotly.js
DOI: 10.57745/z1r0cl
title: .DS_Store
DOI: 10.57745/xrouph
title: jquery-AUTHORS.txt
DOI: 10.57745/nzsleh
title: jquery.min.js
DOI: 10.15468/dl.ntxmed
title: Occurrence Download

description: A dataset containing 61239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.37775 44.49864,6.5084 44.49864,6.5084 44.56023,6.37775 44.56023,6.37775 44.49864))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 61239 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003190-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/rmw2ev
title: jquery.min.map
DOI: 10.57745/3grqne
title: jquery.js
DOI: 10.57745/dybbyl
title: plotly-latest.min.js
DOI: 10.57745/mqjk4h
title: htmlwidgets.js
DOI: 10.57745/xo1fes
title: crosstalk.js
DOI: 10.57745/80gksb
title: crosstalk.min.js
DOI: 10.57745/iiyocp
title: crosstalk.js.map
DOI: 10.15468/dl.c95a7b
title: Occurrence Download

description: A dataset containing 817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.12871 45.14925,5.15587 45.16916,5.16289 45.17733,5.18039 45.20563,5.17987 45.2266,5.17682 45.23516,5.16647 45.25358,5.15559 45.26705,5.12761 45.27715,5.10093 45.28,5.0626 45.27664,5.02579 45.25645,5.01221 45.2315,5.01302 45.21388,5.02214 45.18017,5.03782 45.15617,5.08192 45.14872,5.12871 45.14925))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 817 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003191-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/16ivtp
title: PDMS_UG_topview_it50000.png

description: :unav
DOI: 10.57745/1hjv3z
title: PDMS_G_sideview_it50000.png

description: :unav
DOI: 10.57745/5plhyp
title: ABS_UG_sideviewL_it50000.png

description: :unav
DOI: 10.57745/binypi
title: PDMS_rep_neg_3_PP20VB_verre_par.avi

description: :unav
DOI: 10.57745/cm0wtr
title: ABS_UG_topview_it50000.png

description: :unav
DOI: 10.57745/eskdl5
title: PMMA_UG_sideviewL_it50000.png

description: :unav
DOI: 10.57745/fqdrxy
title: PMMA_UG_sideview_it50000.png

description: :unav
DOI: 10.57745/hc1yxb
title: PP_UG_topview_it50000.png

description: :unav
DOI: 10.57745/j18jdb
title: simu.zip

description: :unav
DOI: 10.57745/j7kohd
title: PP_UG_sideviewL_it50000.png

description: :unav
DOI: 10.57745/lrqcbz
title: PDMS_rep_neg_3_PP20VB_verre_per.avi

description: :unav
DOI: 10.57745/m2hckd
title: PP_UG_sideview_it50000.png

description: :unav
DOI: 10.57745/pkzbte
title: recap_simu.xlsx

description: :unav
DOI: 10.57745/s430lg
title: recap_topo.tab

description: :unav
DOI: 10.57745/skh8fw
title: carac_topo.mnt

description: :unav
DOI: 10.57745/uiizx5
title: PMMA_UG_.png

description: :unav
DOI: 10.57745/vna1fp
title: ReadMe.txt

description: :unav
DOI: 10.57745/vpjwdp
title: PDMS_UG_sideview_it50000.png

description: :unav
DOI: 10.57745/xgnuvz
title: ABS_UG_sideview_it50000.png

description: :unav
DOI: 10.57745/y87od1
title: PDMS_UG_sideviewL_it50000.png

description: :unav
DOI: 10.57745/yliwgg
title: recap_exp_wetting.xlsx

description: :unav
DOI: 10.57745/zclvfn
title: long_exp.PNG

description: :unav
DOI: 10.15468/dl.ncejbu
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NatureServe Network Species Occurrence Data",
 "TaxonKey is Acipenser oxyrinchus Mitchill, 1815"
 ]
}

 The dataset includes 261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003196-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.647jgn
title: Occurrence Download

description: A dataset containing 12204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.613636363636374 52.61363636363636,-7.613636363636374 52.61363636363636,-7.613636363636374 56.61363636363636,-11.613636363636374 56.61363636363636,-11.613636363636374 52.61363636363636))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pica pica (Linnaeus, 1758)"
 ]
}

 The dataset includes 12204 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003195-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc25nds1
title: CCDC 2015613: Experimental Crystal Structure Determination

description: Related Article: Shao-Bai Yan, Zhen Li, Xian-Qi Hu, Shuwei Zhang, Wei-Liang Duan|2025|Org.Lett.|27|1481|doi:10.1021/acs.orglett.4c04853
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14918144
title: costus_rubineus_spades_01.fasta.gz
DOI: 10.5281/zenodo.14918145
title: costus_rubineus_spades_01.fasta.gz
DOI: 10.6084/m9.figshare.25883752
title: Data for manuscript "Modular Arrangement of Synaptic and Intrinsic Homeostatic Plasticity within Visual Cortical Circuits, W. Wen, A. M. Prada, G. G. Turrigiano". (Feb 2025)

description: Neocortical circuits maintain network stability through homeostatic plasticity mechanisms that use negative feedback to adjust excitation/inhibition balance, but how various forms of homeostatic plasticity operate <i>in vivo</i> is not well-understood. To examine whether excitatory synaptic scaling and intrinsic homeostatic plasticity (IHP) are engaged in a hierarchical or modular manner, we perturbed different aspects of neocortical circuit activity both <i>in vitro</i> and <i>in vivo</i>, and found that synaptic scaling and IHP are independently induced by sensing altered spiking and NMDA receptor (NMDAR) signaling, respectively. Despite this initial separation, their expression mechanisms bear similarities in time course, requirement of tumor necrosis alpha (TNFa) signaling, and ion channel trafficking pathways. Sensory experiences that affect NMDAR but not spiking activity selectively trigger IHP in visual cortex without recruiting synaptic scaling, supporting a modular model where synaptic and intrinsic mechanisms serve distinct functions.
DOI: 10.6084/m9.figshare.25883752.v1
title: Data for Cell Reports manuscript (Jan 2025)

description: Neocortical circuits maintain network stability through homeostatic plasticity mechanisms that use negative feedback to adjust excitation/inhibition balance, but how various forms of homeostatic plasticity operate <i>in vivo</i> is not well-understood. To examine whether excitatory synaptic scaling and intrinsic homeostatic plasticity (IHP) are engaged in a hierarchical or modular manner, we perturbed different aspects of neocortical circuit activity both <i>in vitro</i> and <i>in vivo</i>, and found that synaptic scaling and IHP are independently induced by sensing altered spiking and NMDA receptor (NMDAR) signaling, respectively. Despite this initial separation, their expression mechanisms bear similarities in time course, requirement of tumor necrosis alpha (TNFa) signaling, and ion channel trafficking pathways. Sensory experiences that affect NMDAR but not spiking activity selectively trigger IHP in visual cortex without recruiting synaptic scaling, supporting a modular model where synaptic and intrinsic mechanisms serve distinct functions.
DOI: 10.5517/ccdc.csd.cc2lzdrr
title: CCDC 2412505: Experimental Crystal Structure Determination

description: Related Article: Rajesh Deka, Samir Chattopadhyay, Andreas Orthaber|2025|Dalton Trans.|54|3113|doi:10.1039/D4DT03542A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lzdss
title: CCDC 2412506: Experimental Crystal Structure Determination

description: Related Article: Rajesh Deka, Samir Chattopadhyay, Andreas Orthaber|2025|Dalton Trans.|54|3113|doi:10.1039/D4DT03542A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14881709
title: codes for "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: These codes are used in the study "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks," . The details of the paper are:

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179 

To reproduce this study, the files "DS_WN_01.hdf5" and "HS_WN_01.hdf5" need to be downloaded from the link provided in the paper's Data Availability Statement.

Please provide a citation to our paper.
DOI: 10.5281/zenodo.14881710
title: codes for "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: These codes are used in the study "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks," . The details of the paper are:

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179 

To reproduce this study, the files "DS_WN_01.hdf5" and "HS_WN_01.hdf5" need to be downloaded from the link provided in the paper's Data Availability Statement.

Please provide a citation to our paper.
DOI: 10.5517/ccdc.csd.cc2kq6tb
title: CCDC 2374842: Experimental Crystal Structure Determination

description: Related Article: Jia-Bao Chen, Yi-Ming Di, Yuan-Ji Ye, Yu-Ping Song, Jia-Hao Zhou, Ming-Hua You, Shu-Quan Zhang, Mei-Jin Lin|2024|Inorg.Chem.|64|606|doi:10.1021/acs.inorgchem.4c03838
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14899358
title: Animated dataset used in "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: This is an animated version of the dataset used in the paper with following details:

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179

Please cite our paper.
DOI: 10.5281/zenodo.14899357
title: Animated dataset used in "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: This is an animated version of the dataset used in the paper with following details:

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179

Please cite our paper.
DOI: 10.5281/zenodo.14912295
title: Video file explaining  how to run codes for paper: "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: This video file explain how to run code in paper "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"  with following details.  The codes are in data availability statement section.

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179

Please cite my paper.
DOI: 10.5281/zenodo.14912294
title: Video file explaining  how to run codes for paper: "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"

description: This video file explain how to run code in paper "Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks"  with following details.  The codes are in data availability statement section.

Berghout, T. Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks. Machines 2025, 13, 179. https://doi.org/10.3390/machines13030179

Please cite my paper.
DOI: 10.5281/zenodo.14871126
title: DOORS-2 Open Sea Survey in Western Black Sea, 2023 - Cruise 2 / Leg1 (1-10 September, MN248) : CTD water column investigation

description: The dataset contains CTD data collected during the MN248 Cruise (1-10 September 2023), at the sampling stations located in the Romanian Black Sea area, in the framework of H2020 DOORS Project.  The main goal of the cruise was to assess the sediment nutrients cycling capacity and the influence of faunal activity on benthic turnover rates of nutrient and oxygen through ex-situ sediment core incubation. The data acquisitions were focused on three main benthic habitats, as follows: coarse and mixed biogenic type of substrata suitable for thriving of mussel’s biogenic reefs and mud sediments under river plume influence. For water column characterization, at each sampling station, a SBE 911Plus Sealogger CTD with specific sensors and a SBE 32 Rosette water sampler with 12 of 5 liters Niskin bottles were deployed to measure physical & chemical water parameters (temperature, salinity, oxygen, fluorescence, pH, turbidity and other derived parameteres).
DOI: 10.5281/zenodo.14871127
title: DOORS-2 Open Sea Survey in Western Black Sea, 2023 - Cruise 2 / Leg1 (1-10 September, MN248) : CTD water column investigation

description: The dataset contains CTD data collected during the MN248 Cruise (1-10 September 2023), at the sampling stations located in the Romanian Black Sea area, in the framework of H2020 DOORS Project.  The main goal of the cruise was to assess the sediment nutrients cycling capacity and the influence of faunal activity on benthic turnover rates of nutrient and oxygen through ex-situ sediment core incubation. The data acquisitions were focused on three main benthic habitats, as follows: coarse and mixed biogenic type of substrata suitable for thriving of mussel’s biogenic reefs and mud sediments under river plume influence. For water column characterization, at each sampling station, a SBE 911Plus Sealogger CTD with specific sensors and a SBE 32 Rosette water sampler with 12 of 5 liters Niskin bottles were deployed to measure physical & chemical water parameters (temperature, salinity, oxygen, fluorescence, pH, turbidity and other derived parameteres).
DOI: 10.5281/zenodo.13946483
title: Integrals for "Quantum Simulations of Chemistry in First Quantization with any Basis Set"

description: Integrals used to study scalings and carry out resource estimations. We did not upload the matrices for basis sets with 32000 functions because of large matrix sizes (8 GB per matrix). These integrals correspond to matrix elements of the Hamiltonian in the original basis (Eq. (II.1) and Eq.(III.6)) in this version of the manuscript: (arXiv:2408.03145v2 [quant-ph]), and not in the Pauli string representation. 

UPDATE: in the previous version of matrices in dual plane wave basis, kinetic energy + electron nuclear term gave the correct one-body contribution, but each individual file had an error in it. In this version, we updated the correct kinetic energy and electron nuclear matrices. Notice that electron-nuclear files are just diagonal elements so you need to convert it to a matrix to get correct kinetic + electron nuclear term. Also, dual plane waves electron-electron matrix includes a factor of 1/2 in it. FCIDUMP files are the same as in previous version.
DOI: 10.5281/zenodo.13946484
title: Integrals for "Quantum Simulations of Chemistry in First Quantization with any Basis Set"

description: Integrals used to study scalings and carry out resource estimations. We did not upload the matrices for basis sets with 32000 functions because of large matrix sizes (8 GB per matrix). These integrals correspond to matrix elements of the Hamiltonian in the original basis (Eq. (II.1) and Eq.(III.6)) in this version of the manuscript: (arXiv:2408.03145v2 [quant-ph]), and not in the Pauli string representation.
DOI: 10.5281/zenodo.14906508
title: Integrals for "Quantum Simulations of Chemistry in First Quantization with any Basis Set"

description: Integrals used to study scalings and carry out resource estimations. We did not upload the matrices for basis sets with 32000 functions because of large matrix sizes (8 GB per matrix). These integrals correspond to matrix elements of the Hamiltonian in the original basis (Eq. (II.1) and Eq.(III.6)) in this version of the manuscript: (arXiv:2408.03145v2 [quant-ph]), and not in the Pauli string representation. 

UPDATE: in the previous version of matrices in dual plane wave basis, kinetic energy + electron nuclear term gave the correct one-body contribution, but each individual file had an error in it. In this version, we updated the correct kinetic energy and electron nuclear matrices. Notice that electron-nuclear files are just diagonal elements so you need to convert it to a matrix to get correct kinetic + electron nuclear term. Also, dual plane waves electron-electron matrix includes a factor of 1/2 in it. FCIDUMP files are the same as in previous version.
DOI: 10.5281/zenodo.14918155
title: AMPERE Summary Plot Movies (2022-Feb)

description: 2022-Feb AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14918156
title: AMPERE Summary Plot Movies (2022-Feb)

description: 2022-Feb AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14918177
title: tadorna_cristata_spades_01.fasta.gz
DOI: 10.5281/zenodo.14918178
title: tadorna_cristata_spades_01.fasta.gz
DOI: 10.5281/zenodo.14903492
title: Data of WRF experiments for the 2023 East Asian summer heatwave

description: This archive corresponds to the data utilized in the submitted manuscript.
DOI: 10.5281/zenodo.14903493
title: Data of WRF experiments for the 2023 East Asian summer heatwave

description: This archive corresponds to the data utilized in the submitted manuscript.
DOI: 10.15468/dl.qtptjm
title: Occurrence Download

description: A dataset containing 4639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.696031550056851 51.9545631001137,-6.696031550056851 51.9545631001137,-6.696031550056851 55.9545631001137,-10.696031550056851 55.9545631001137,-10.696031550056851 51.9545631001137))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus excelsior L."
 ]
}

 The dataset includes 4639 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003198-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916310
title: [NAMA3DS1-COSPAD1] Subjective video quality assessment database on coding conditions introducing freely available high quality 3D stereoscopic sequences

description: Research in stereoscopic 3D coding, transmission and subjective assessment methodology depends largely on the availability of source content that can be used in cross-lab evaluations. While several studies have already been presented using proprietary content, comparisons between the studies are difficult since discrepant contents are used. Therefore in this paper, a freely available dataset of high quality Full-HD stereoscopic sequences shot with a semiprofessional 3D camera is introduced in detail. The content was designed to be suited for usage in a wide variety of applications, including high quality studies. A set of depth maps was calculated from the stereoscopic pair. As an application example, a subjective assessment has been performed using coding and spatial degradations. The Absolute Category Rating with Hidden Reference method was used. The observers were instructed to vote on video quality only. Results of this experiment are also freely available and will be presented in this paper as a first step towards objective video quality measurement for 3DTV.
DOI: 10.5281/zenodo.14916311
title: [NAMA3DS1-COSPAD1] Subjective video quality assessment database on coding conditions introducing freely available high quality 3D stereoscopic sequences

description: Research in stereoscopic 3D coding, transmission and subjective assessment methodology depends largely on the availability of source content that can be used in cross-lab evaluations. While several studies have already been presented using proprietary content, comparisons between the studies are difficult since discrepant contents are used. Therefore in this paper, a freely available dataset of high quality Full-HD stereoscopic sequences shot with a semiprofessional 3D camera is introduced in detail. The content was designed to be suited for usage in a wide variety of applications, including high quality studies. A set of depth maps was calculated from the stereoscopic pair. As an application example, a subjective assessment has been performed using coding and spatial degradations. The Absolute Category Rating with Hidden Reference method was used. The observers were instructed to vote on video quality only. Results of this experiment are also freely available and will be presented in this paper as a first step towards objective video quality measurement for 3DTV.