cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/wpacards-c8-118048
title: WPA household census for 3900 S HOPE STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118049
title: WPA household census for 3900 S HOPE STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118050
title: WPA household census for 3900 S HOPE STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118051
title: WPA block face card for household census (block 87) in Los Angeles County
DOI: 10.25549/wpacards-c8-118052
title: WPA household census for 360 W 39TH STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118053
title: WPA household census for 358 W 39TH STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118054
title: WPA household census for 354 W 39TH STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118055
title: WPA household census for 356 W 39TH STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118056
title: WPA household census for 354 1/2 W 39TH STREET, Los Angeles County
DOI: 10.25549/wpacards-c8-118057
title: WPA household census for 356 1/2 W 39TH STREET, Los Angeles County
DOI: 10.15785/sbgrid/1003
title: X-Ray Diffraction data from AetF in complex with Trp, source of 8CJE structure

description: native data (almost perfectly non-merohedrally twinned)
description: The XDS.INP file used for processing is given as template.
DOI: 10.5281/zenodo.8049343
title: Predicting the Habitat Suitability of Asian Elephants in Madhesh Landscape of Southern Nepal

description: This is the dataset used during my thesis entitled " Predicting the Habitat Suitability of Asian Elephants (<em>Elephas maximas</em>) in Madhesh landscape of southern Nepal.
DOI: 10.5281/zenodo.8049342
title: Predicting the Habitat Suitability of Asian Elephants in Madhesh Landscape of Southern Nepal

description: This is the dataset used during my thesis entitled " Predicting the Habitat Suitability of Asian Elephants (<em>Elephas maximas</em>) in Madhesh landscape of southern Nepal.
DOI: 10.6084/m9.figshare.13397987
title: Expression of 97 surface markers and RNA (transcriptome wide) in 13165 cells from a healthy young bone marrow donor

description: Seurat v3 object <br> <strong>ASSAYS</strong>: AB: Antibody expression data RNA: mRNA expression data BOTH: Concatenated mRNA and antbody expression matrices <br> <strong>DIMENSIONALITY REDUCTION</strong> MOFA: Multi-OMICS factor analysis to integrate AB and RNA data. MOFA served as input for clustering and further dimensionality reduction. MOFAUMAP: UMAP performed on MOFA dimensions. Display used in the manuscript.<br> MOFATSNE: UMAP performed on MOFA dimensions. <strong>Projected</strong>: Data was projected on the reference dataset MOFAUMAP coordinates <br> <strong>METADATA</strong> <strong>ct:</strong><strong> </strong>Projected cell type (cell type labels from the reference dataset are used). Idents(object) uses an unsupervised clustering performed on this dataset. <br> For the reference dataset, see https://doi.org/10.6084/m9.figshare.13397651.v2 <br> <strong>Changelog</strong> v3: Compared to the previous version of the file, projected UMAP coordinates and projected cell type labels were added. Also, neighborhood graphs and normalized data are now contained in the object. v4: Objects were slimed to correspond to the information described in our study. Data now only contains relevant dimensions reductions and metadata columns; unused RNA and antibody targets were excluded from the objects.
DOI: 10.5281/zenodo.7998078
title: tinamus_major_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7998077
title: tinamus_major_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.13398065.v2
title: Expression of 197 surface markers and 462 mRNAs in 15281 cells from blood and bone marrow from a young healthy donor

description: seurat v3 object <b><br>ASSAYS</b>:AB: Antibody expression dataRNA: mRNA expression dataBOTH: Antibody and mRNA expression matrices concatenated<br><b>DIMENSIONALITY REDUCTION</b><b>Projected</b>: Data was projected on the reference dataset MOFAUMAP coordinates.<br><b>METADATA</b>Batch: Sample1 (Bone marrow) or Sample2 (Blood)<br><b>ct</b>: Projected cell type (cell type labels from the reference dataset are used).Idents(object) uses an unsupervised clustering performed on this dataset.<br><br>For the reference dataset, see https://doi.org/10.6084/m9.figshare.13397651.v2<br><b>Changelog</b>Compared to the previous version of the file, projected UMAP coordinates and projected cell type labels were added.<br>
DOI: 10.5281/zenodo.823537
title: Data and code for figures: Breathing Dissipative Solitons in Optical Microresonators

description: This dataset contains the data presented in the Figures of the paper Breathing dissipative solitons in optical microresonators (doi:10.1038/s41467-017-00719-w). The data for figure X is gathered in one matlab dataset file FigureX_Dataset.mat, under a structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields X, Y, Z that each are cell arrays containing the (X,Y,Z) data for all the lines / surfaces presented in the panel. In order to plot the line #1 of panel b of figure 3 you can proceed as follow: load Figure3_Dataset.mat<br> plot(fig3.b.X{1}, fig3.b.Y{1}) <br> A minimal script FigureX_process.m is provided for each figure in order to plot all the panels. For some insets of Figures 1,2,4, the structure is slightly modified, please refer to the scripts for detail access of the data. The datasets and scripts were generated and tested using Matlab 2017 or 2014.
description: This publication was supported by the Swiss National Science Foundation (SNF) under grant agreement 161573 as well as Contract W31P4Q-14-C-0050 (PULSE) from the Defense Advanced Research Projects Agency (DARPA), Defense Sciences Office (DSO), and by the European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), Contract No. 4000116145/16/NL/MH/GM. This material is based upon work supported by the Air Force Office of Scientific Research, Air Force Material Command, USAF under Award No. FA9550-15-1-0099. M.K. acknowledges funding support from EU FP7 programme under Marie Sklodowska-Curie ITN grant agreement No. 607493. H.G. acknowledges funding support from EU Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No 709249. M.L.G. acknowledges support from the Russian Science Foundation grant #17-12-01413 and Russian Foundation for Basic Research grant #17-02-00522. All samples were fabricated and grown in the Centre of MicroNanoTechnology (CMi) at EPFL.
DOI: 10.5281/zenodo.823538
title: Data and code for figures: Breathing Dissipative Solitons in Optical Microresonators

description: This dataset contains the data presented in the Figures of the paper Breathing dissipative solitons in optical microresonators (doi:10.1038/s41467-017-00719-w). The data for figure X is gathered in one matlab dataset file FigureX_Dataset.mat, under a structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields X, Y, Z that each are cell arrays containing the (X,Y,Z) data for all the lines / surfaces presented in the panel. In order to plot the line #1 of panel b of figure 3 you can proceed as follow: load Figure3_Dataset.mat<br> plot(fig3.b.X{1}, fig3.b.Y{1}) <br> A minimal script FigureX_process.m is provided for each figure in order to plot all the panels. For some insets of Figures 1,2,4, the structure is slightly modified, please refer to the scripts for detail access of the data. The datasets and scripts were generated and tested using Matlab 2017 or 2014.
description: This publication was supported by the Swiss National Science Foundation (SNF) under grant agreement 161573 as well as Contract W31P4Q-14-C-0050 (PULSE) from the Defense Advanced Research Projects Agency (DARPA), Defense Sciences Office (DSO), and by the European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), Contract No. 4000116145/16/NL/MH/GM. This material is based upon work supported by the Air Force Office of Scientific Research, Air Force Material Command, USAF under Award No. FA9550-15-1-0099. M.K. acknowledges funding support from EU FP7 programme under Marie Sklodowska-Curie ITN grant agreement No. 607493. H.G. acknowledges funding support from EU Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No 709249. M.L.G. acknowledges support from the Russian Science Foundation grant #17-12-01413 and Russian Foundation for Basic Research grant #17-02-00522. All samples were fabricated and grown in the Centre of MicroNanoTechnology (CMi) at EPFL.
DOI: 10.48324/dandi.000491/0.230602.1307
title: BrainFlowZZZ

description: Dataset from the 2023 manuscript titled **_Sizes and Shapes of Perivascular Spaces Surrounding Murine Pial Arteries_** by Raicevic et al. DOI: 10.21203/rs.3.rs-2587250/v1.  

## Overview
The **14 datasets** from **9 subjects** include the original 3D two photon microscopy data from three channels which show tracer in the vessel, PVSs, and microspheres. Additionally, each dataset also includes the final binary segmentation of the PVS and vessel used to generate the model and statistics in the manuscript. Additional details regarding the subjects, tracer injection, image acquisition, and segmentation can be found in the manuscript at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949243/.

## Content
For easier navigation, below is a mapping between the NWB file names and the datasets referenced in the manuscript.
1. sub-21-07-19-b-act (Mouse 6, dataset K)
2. sub-21-09-01-b-act (Mouse 8, dataset M)
3. sub-21-09-20-b-act (Mouse 9, dataset N)
4. sub-21-10-08-b-act (Mouse 7, dataset L)
5. sub-BPN-M4 (Mouse 3, dataset E and F)
6. sub-BPN-M6 (Mouse 4, dataset G and H)
7. sub-BPN-M7 (Mouse 5, dataset I and J)
8. sub-BPN-OLD-M2 (Mouse 1, dataset A and B)
9. sub-BPN-OLD-M3 (Mouse 2, dataset C and D)

## Data Reading Instructions
The .nwb files can be viewed using PyNWB or MatNWB. To install and set up, please visit <https://www.nwb.org/how-to-use/>. Below, we show how to open and view an .nwb file using MatNWB. 
### Loading the image data
```matlab
nwb = nwbRead(PATH_TO_NWB_FILE);

% first check what color channels are present
>> nwb.acquisition
ans = 
  3×1 Set array with properties:
    TwoPhotonSeriesChanA: [types.core.TwoPhotonSeries]
    TwoPhotonSeriesChanB: [types.core.TwoPhotonSeries]
    TwoPhotonSeriesChanC: [types.core.TwoPhotonSeries]
```
The above code load the .nwb file and the output tells us that there are three channels present in the nwb file, which are ChanA, ChanB, and ChanC. Then, to load the actual data from a channel,
```matlab
% load the image data from ChanA
>> chanAdata = nwb.acquisition.get('TwoPhotonSeriesChanA').data.load();

% check its shape
>> size(chanAdata)
ans =
     1   512   512   181
```
### Loading the segmentation masks
For an overview of the mask for ChanA, for example,
```matlab
>> nwb.processing.get('ophys').nwbdatainterface.get('ImageSegmentation').planesegmentation.get('PlaneSegmentationChanA').image_mask.data
ans = 
  DataStub with properties:
    filename: '.\sub-BPN-M4_ses-20210524-m1_obj-1c8nyxo_ophys.nwb'
        path: '/processing/ophys/ImageSegmentation/PlaneSegmentationChanA/image_mask'
        dims: [512 512 181]
       ndims: 3
    dataType: 'logical'
```
To load the actual mask data into array (may take several seconds to load),
```matlab
% load mask from ChanA
>> mask = nwb.processing.get('ophys').nwbdatainterface.get('ImageSegmentation').planesegmentation.get('PlaneSegmentationChanA').image_mask.data.load();

% check its shape
>> size(mask)
ans =
   512   512   181
```
DOI: 10.20387/bonares-1q21-j818
title: Meteorological Data Rottenbuch site 2012-2018

description: Data set contains date, precipitation, average temperture, maximum temperature, minimum temperature, global radiation, relative humidity, air pressure and wind speed in daily resolution.

Research domain: Climate data

Research question: The data set contains fundamental information for environmental sciences and, thus, serves as the base for many research questions. The fundamental researc question in SUSALPS is how mountainous grassland can be managed in a sustainable way in a changing climate.
DOI: 10.6084/m9.figshare.23284523
title: Interplay between pond size and matrix extent drives odonate diversity patterns in a fragmented landscape

description: Water chemistry and vegetation characteristics for a series of 27 ponds in KwaZulu-Natal, South Africa. Contains information on odonate species richness, abundance, functional richness, and functional diversity for 31 species. Raw trait information is also given.
DOI: 10.6084/m9.figshare.23284523.v1
title: Interplay between pond size and matrix extent drives odonate diversity patterns in a fragmented landscape

description: Water chemistry and vegetation characteristics for a series of 27 ponds in KwaZulu-Natal, South Africa. Contains information on odonate species richness, abundance, functional richness, and functional diversity for 31 species. Raw trait information is also given.
DOI: 10.5258/soton/d2642
title: Dataset supporting the University of Southampton Doctoral thesis "Developing new metal-based complexes for 18F-based positron emission tomography (PET) applications" .

description: Dataset supporting the University of Southampton Doctoral thesis "Developing new metal-based complexes for 18F-based positron emission tomography (PET) applications" by Madeleine Serena Woodward. SI for PhD work
DOI: 10.6084/m9.figshare.22303165
title: LaICa_Database

description: Rar file including: inventory shape-files, csv files and the read-me file with a description of how to consult the database
DOI: 10.6084/m9.figshare.22303168.v1
title: LaICa_dots.shx

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303168
title: LaICa_dots.shx

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303171
title: LaICa_dots.cpg

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303171.v1
title: LaICa_dots.cpg

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303174.v1
title: LaICa_polygons.dbf

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303174
title: LaICa_polygons.dbf

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303177
title: LaICa_deots.shp.xml

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303177.v1
title: LaICa_deots.shp.xml

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303180
title: LaICa_dots.dbf

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303180.v1
title: LaICa_dots.dbf

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303183
title: LaICa_dots.shp

description: Dataset in shape file fomrat of landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303183.v1
title: LaICa_dots.shp

description: Dataset in shape file fomrat of landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303186
title: LaICa_polygons.prj

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303186.v1
title: LaICa_polygons.prj

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303189
title: LaICa_dots.prj

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303189.v1
title: LaICa_dots.prj

description: File linked to the shape file of dataset containing landslides inventoried using dots features
DOI: 10.6084/m9.figshare.22303192
title: LaICa_polygons.shp

description: Dataset in shape file format of landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303192.v1
title: LaICa_polygons.shp

description: Dataset in shape file format of landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303195
title: LaICa_polygons.cpg

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303195.v1
title: LaICa_polygons.cpg

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303198
title: LaICa_polygons.shx

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.6084/m9.figshare.22303198.v1
title: LaICa_polygons.shx

description: File linked to the shape file of dataset containing landslides inventoried using polygons features
DOI: 10.5281/zenodo.7615257
title: Comparative Study of Molecular Mechanics Force Fields for β-peptidic Foldamers: Folding and Self-Association

description: Molecular dynamics simulation input files and Python scripts used for preparing the runs and analyzing the trajectories.
DOI: 10.5281/zenodo.7997332
title: Code and Data

description: 此文件来自 U 形纯变压器的优化 医学图像分割网络的代码和数据
DOI: 10.5281/zenodo.7997331
title: Code and Data

description: 此文件来自 U 形纯变压器的优化 医学图像分割网络的代码和数据
DOI: 10.5517/ccdc.csd.cc25ttsm
title: CCDC 2020821: Experimental Crystal Structure Determination

description: Related Article: Yuxiao Duan, Guowei Zhang, Xinyue Liu, Fenghui Shi, Tingting Wang, Hongchen Yan, Hu Xu, Lei Zhang|2022|J.Org.Chem.|87|8841|doi:10.1021/acs.joc.1c02693
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.cc2dyydq
title: CCDC 2233314: Experimental Crystal Structure Determination

description: Related Article: Meiqiu Dong, Binshuai Wang, Ziwei Yu, Jinjin Zhao, Xinyi Li, Yue Fu, Yangwu Guo, Yingjie Zhao, Hanfei Gao, Lei Jiang, Yuchen Wu|2023|Inorg.Chem.Front.|10|3396|doi:10.1039/D2QI02783F
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.cc2dyyfr
title: CCDC 2233315: Experimental Crystal Structure Determination

description: Related Article: Meiqiu Dong, Binshuai Wang, Ziwei Yu, Jinjin Zhao, Xinyi Li, Yue Fu, Yangwu Guo, Yingjie Zhao, Hanfei Gao, Lei Jiang, Yuchen Wu|2023|Inorg.Chem.Front.|10|3396|doi:10.1039/D2QI02783F
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.cc2dz4xg
title: CCDC 2233516: Experimental Crystal Structure Determination

description: Related Article: Mohana Reddy Mutra, Jing Li, Jeh-Jeng Wang|2023|Chem.Commun.|59|6584|doi:10.1039/D3CC00842H
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.cc2dz4yh
title: CCDC 2233517: Experimental Crystal Structure Determination

description: Related Article: Mohana Reddy Mutra, Jing Li, Jeh-Jeng Wang|2023|Chem.Commun.|59|6584|doi:10.1039/D3CC00842H
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.cc2dz4zj
title: CCDC 2233518: Experimental Crystal Structure Determination

description: Related Article: Mohana Reddy Mutra, Jing Li, Jeh-Jeng Wang|2023|Chem.Commun.|59|6584|doi:10.1039/D3CC00842H
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.cc2f9wc0
title: CCDC 2243822: Experimental Crystal Structure Determination

description: Related Article: Xin-Yang Fan, Xin Liu, Yin-Zhu Kong, Bo-Han Zhu, Jian Lin, Peng-Cheng Qian, Bo Zhou, Long-Wu Ye|2023|Org.Chem.Front.|10|2766|doi:10.1039/D3QO00489A
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.cc2f9wf2
title: CCDC 2243824: Experimental Crystal Structure Determination

description: Related Article: Xin-Yang Fan, Xin Liu, Yin-Zhu Kong, Bo-Han Zhu, Jian Lin, Peng-Cheng Qian, Bo Zhou, Long-Wu Ye|2023|Org.Chem.Front.|10|2766|doi:10.1039/D3QO00489A
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.cc2fbbqv
title: CCDC 2244267: Experimental Crystal Structure Determination

description: Related Article: Gracjan Kurpik, Anna Walczak, Grzegorz Markiewicz, Jack Harrowfield, Artur R. Stefankiewicz|2023|Nanoscale|15|9543|doi:10.1039/D3NR01298K
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.