cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c880y
title: CCDC 2182679: Experimental Crystal Structure Determination

description: Related Article: Zhong-Wu An, Yu-Qi Gao, Shao-Min Xu, Wei Zhang, Min-Xia Yao|2023|Cryst.Growth Des.|23|1412|doi:10.1021/acs.cgd.2c00940
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.cc2c8820
title: CCDC 2182681: Experimental Crystal Structure Determination

description: Related Article: Zhong-Wu An, Yu-Qi Gao, Shao-Min Xu, Wei Zhang, Min-Xia Yao|2023|Cryst.Growth Des.|23|1412|doi:10.1021/acs.cgd.2c00940
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.cc2c8831
title: CCDC 2182682: Experimental Crystal Structure Determination

description: Related Article: Zhong-Wu An, Yu-Qi Gao, Shao-Min Xu, Wei Zhang, Min-Xia Yao|2023|Cryst.Growth Des.|23|1412|doi:10.1021/acs.cgd.2c00940
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.cc2c8842
title: CCDC 2182683: Experimental Crystal Structure Determination

description: Related Article: Zhong-Wu An, Yu-Qi Gao, Shao-Min Xu, Wei Zhang, Min-Xia Yao|2023|Cryst.Growth Des.|23|1412|doi:10.1021/acs.cgd.2c00940
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.cc2cpl2r
title: CCDC 2195484: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Zhu, Ji-Kang Liu, Long-Zhou Qin, Jian Wang, Xiu Duan, Xin Yuan, Jiang-Kai Qiu, Kai Guo|2023|J.Org.Chem.|88|2057|doi:10.1021/acs.joc.2c02336
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.cc2dhj3k
title: CCDC 2219448: Experimental Crystal Structure Determination

description: Related Article: Jiawei Cheng, Nana Liu, Luyao Wang, Huaiwei Wang, Jing Lu, Yunwu Li, Jianmin Dou, Suna Wang|2023|Inorg.Chem.|62|3573|doi:10.1021/acs.inorgchem.2c04246
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.cc2f138w
title: CCDC 2235387: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Lewis R. Thomas-Hargreaves, Mathias A. Ellwanger, Agamemnon E. Crumpton, Jamie Hicks, Deniz F. Bekiş, Simon Aldridge, Magnus R. Buchner|2023|J.Am.Chem.Soc.|145|4408|doi:10.1021/jacs.3c00480
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.cc2f139x
title: CCDC 2235388: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Lewis R. Thomas-Hargreaves, Mathias A. Ellwanger, Agamemnon E. Crumpton, Jamie Hicks, Deniz F. Bekiş, Simon Aldridge, Magnus R. Buchner|2023|J.Am.Chem.Soc.|145|4408|doi:10.1021/jacs.3c00480
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.cc2f13by
title: CCDC 2235389: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Lewis R. Thomas-Hargreaves, Mathias A. Ellwanger, Agamemnon E. Crumpton, Jamie Hicks, Deniz F. Bekiş, Simon Aldridge, Magnus R. Buchner|2023|J.Am.Chem.Soc.|145|4408|doi:10.1021/jacs.3c00480
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.cc2f13cz
title: CCDC 2235390: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Lewis R. Thomas-Hargreaves, Mathias A. Ellwanger, Agamemnon E. Crumpton, Jamie Hicks, Deniz F. Bekiş, Simon Aldridge, Magnus R. Buchner|2023|J.Am.Chem.Soc.|145|4408|doi:10.1021/jacs.3c00480
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: 10.6084/m9.figshare.21225947.v8
title: Supporting information-jgr-es

description: Element geochemical data of karst bauxite from Southwest China
DOI: 10.5281/zenodo.7022941
title: Simulation data for Upstream shift of generation region for whistler-mode rising-tone emission in the magnetosphere

description: Simulation data for the article "Upstream shift of generation region for whistler-mode rising-tone emission in the magnetosphere" by Nogi and Omura (2023). Nogi, T., & Omura, Y. (2023). Upstream shift of generation region of whistler-mode rising-tone emissions in the magnetosphere. <em>Journal of Geophysical Research: Space Physics</em>, <em>128</em>, e2022JA031024. https://doi. org/10.1029/2022JA031024
DOI: 10.5281/zenodo.7022940
title: Simulation data for Upstream shift of generation region for whistler-mode rising-tone emission in the magnetosphere

description: Simulation data for the article "Upstream shift of generation region for whistler-mode rising-tone emission in the magnetosphere" by Nogi and Omura (2023). Nogi, T., & Omura, Y. (2023). Upstream shift of generation region of whistler-mode rising-tone emissions in the magnetosphere. <em>Journal of Geophysical Research: Space Physics</em>, <em>128</em>, e2022JA031024. https://doi. org/10.1029/2022JA031024
DOI: 10.6084/m9.figshare.21225947.v9
title: Element geochemical data of karst bauxite from Southwest China

description: Element geochemical data of karst bauxite from Southwest China
DOI: 10.6084/m9.figshare.21225947
title: Geochemical data of karst bauxite in Southwest China

description: Element geochemical data of karst bauxite from Southwest China
DOI: 10.6084/m9.figshare.21225947.v10
title: Elemental geochemical data of karst bauxite in Southwest China

description: Element geochemical data of karst bauxite from Southwest China
DOI: 10.6084/m9.figshare.22187854
title: Al2O3 and Fe2O3 content of bauxite samples

description: Al2O3 and Fe2O3 content of bauxite samples
DOI: 10.34740/kaggle/dsv/5090856
title: OntoUML/UFO Catalog
DOI: 10.26274/3cge-nv85
title: Torres Strait Sentinel 2 Satellite Regional Maps and Imagery 2015 – 2021 (AIMS)
DOI: 10.5281/zenodo.7689958
title: Aquila and Aquila_stLFR input files

description: Aquila and Aquila_stLFR input uniqueness files
DOI: 10.5281/zenodo.7689957
title: Aquila and Aquila_stLFR input files

description: Aquila and Aquila_stLFR input uniqueness files
DOI: 10.5281/zenodo.6549073
title: Bilevel Optimization Repository

description: Thousands of bibliographic references and online resources on bi-level optimization.
DOI: 10.6084/m9.figshare.22197583
title: Insecticide resistance monitoring and diagnostics of resistance mechanisms in cotton-melon aphid, Aphis gossypii Glover in central China

description: The data that support the finding of the study: Insecticide resistance monitoring and diagnostics of resistance mechanisms in cotton-melon aphid, <em>Aphis gossypii</em> Glover in central China.
DOI: 10.6084/m9.figshare.22197583.v1
title: Insecticide resistance monitoring and diagnostics of resistance mechanisms in cotton-melon aphid, Aphis gossypii Glover in central China

description: The data that support the finding of the study: Insecticide resistance monitoring and diagnostics of resistance mechanisms in cotton-melon aphid, <em>Aphis gossypii</em> Glover in central China.
DOI: 10.5281/zenodo.4629685
title: Raw IQ dataset for GNSS GPS jamming signal classification

description: This dataset production would not be possible without the work of Morales Ferre, Ruben, Lohan, Elena Simona, & De la Fuente, Alberto. (2019). Image datasets for jammer classification in GNSS [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3783969 . <br> Raw IQ Dataset – Contains 1000 training samples and 250 testing samples for DME, narrowband, single AM, single chirp, single FM jamming signals and no jamming signal present. To generate new raw files – Download and extract ‘Jamming_Classifier.zip’ from https://zenodo.org/record/3783969 Place ‘signal_generation.m’ into the ‘Jamming_Classifier’ folder. When you run signal generation you can choose whether to create training or test data and the number of samples. They will be saved in the folders Image_training_database and Image_testing_database.
DOI: 10.5281/zenodo.2669482
title: Atom probe tomography nomad-FAIR demonstrator dataset R76-23219-v01.epos.apth5

description: This is the dataset of an atom probe tomography experiment which is provided open source for testing the possibility of implementing an open source encyclopedia for experimental materials science datasets, including techniques to begin with such as Scanning Transmission Electron Microscopy (STEM), Multidimensional Photo Emission Spectroscopy (MPES), and Atom Probe Tomography (APT) / Field Ion Microscopy (FIM).

<strong>This repository serves three aims:</strong>

1. The dataset is of scientific interest. Specifically, it captures the result of a cutting-edge APT experiment detailed exemplarily in DOI: 10.1038/s41467-018-03115-0 (Fig. 6a "Se+Na2Se treatment") by Torsten Schwarz and coworkers.

2. The dataset contributes to tests of an extension to "The NOMAD Laboratory" (https://nomad-coe.eu/): nomad-FAIR. Specifically, to test various aspects of an automatized metadata parsing and processing pipeline to enable the extraction of domain-specific JSON metadata files into a NOMAD-conformant JSON file, ultimately aiming for searchable and repurposable dataset documentation. This serves two purposes: on the one hand to contextualize each dataset within NOMAD. On the other hand to serve as a starting point to parse potential interesting content from the heavy data HDF5 file to reduce unnecessary file access.<br>
The implementation of nomad-FAIR is coordinated by Markus Scheidgen.<br>
The APT domain-specific parser is developed by Markus Kühbach.

3. The dataset constitutes further a test of an open format specification for storing atom probe tomography data using the Hierarchical Data Format (HDF5). This is a recent initiative of the International Field Emission Society's (IFES) atom probe tomography technical committee. In this repository it is detailed an exemplar proposal of how to store acquisition-side relevant results and context of an APT experiment into a HDF5 file and complementary metadata files such as JSON. Implementation of this HDF5-based storage solution for APT data is lead by Markus Kühbach.

<br>
<strong>The organization of this repository with respect to above aims is as follows:</strong>

-The original EPOS file of the measured is contained in the compressed *.epos.tar.gz archive.

-The *.apth5 file is a transcoded version of the EPOS file. Therein, x,y,z data columns are stripped.

-The correspondingly named *.json file is the file which nomad-FAIR parses metadata from.

-Other files constitute logs of the transcoding process.

<br>
<strong>Funding:</strong><br>
The work was partially supported by BiGmax, the Max Planck Society's Research Network on Big-Data-Driven Materials-Science.
description: {"references": ["10.1038/s41467-018-03115-0"]}
DOI: 10.5281/zenodo.4629684
title: Raw IQ dataset for GNSS GPS jamming signal classification

description: This dataset production would not be possible without the work of Morales Ferre, Ruben, Lohan, Elena Simona, & De la Fuente, Alberto. (2019). Image datasets for jammer classification in GNSS [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3783969 . <br> Raw IQ Dataset – Contains 1000 training samples and 250 testing samples for DME, narrowband, single AM, single chirp, single FM jamming signals and no jamming signal present. To generate new raw files – Download and extract ‘Jamming_Classifier.zip’ from https://zenodo.org/record/3783969 Place ‘signal_generation.m’ into the ‘Jamming_Classifier’ folder. When you run signal generation you can choose whether to create training or test data and the number of samples. They will be saved in the folders Image_training_database and Image_testing_database.
DOI: 10.5281/zenodo.845332
title: Dataset Disruptive Effects Of Light Pollution On Sleep In Free-Living Birds: Season And/Or Light Intensity-Dependent?

description: Dataset belonging to the article

<strong>Disruptive effects of light pollution on sleep in free-living birds:</strong>

<strong>season and/or light intensity-dependent?</strong>
DOI: 10.5281/zenodo.2669456
title: Atom probe tomography nomad-FAIR demonstrator dataset R76-30057-v01.epos.apth5

description: This is the dataset of an atom probe tomography experiment which is provided open source for testing the possibility of implementing an open source encyclopedia for experimental materials science datasets, including techniques to begin with such as Scanning Transmission Electron Microscopy (STEM), Multidimensional Photo Emission Spectroscopy (MPES), and Atom Probe Tomography (APT) / Field Ion Microscopy (FIM).

<strong>This repository serves three aims:</strong>

1. The dataset is of scientific interest. Specifically, it captures the result of a cutting-edge APT experiment whose details are going to be reported in an upcoming publication by Shyam Katnagallu and coworkers.

2. The dataset contributes to tests of an extension to "The NOMAD Laboratory" (https://nomad-coe.eu/): nomad-FAIR. Specifically, to test various aspects of an automatized metadata parsing and processing pipeline to enable the extraction of domain-specific JSON metadata files into a NOMAD-conformant JSON file, ultimately aiming for searchable and repurposable dataset documentation. This serves two purposes: on the one hand to contextualize each dataset within NOMAD. On the other hand to serve as a starting point to parse potential interesting content from the heavy data HDF5 file to reduce unnecessary file access.<br>
The implementation of nomad-FAIR is coordinated by Markus Scheidgen.<br>
The APT domain-specific parser is developed by Markus Kühbach.

3. The dataset constitutes further a test of an open format specification for storing atom probe tomography data using the Hierarchical Data Format (HDF5). This is a recent initiative of the International Field Emission Society's (IFES) atom probe tomography technical committee. In this repository it is detailed an exemplar proposal of how to store acquisition-side relevant results and context of an APT experiment into a HDF5 file and complementary metadata files such as JSON. Implementation of this HDF5-based storage solution for APT data is lead by Markus Kühbach.

<strong>The organization of this repository with respect to above aims is as follows:</strong>

-The original EPOS file of the measured is contained in the compressed *.epos.tar.gz archive.

-The *.apth5 file is a transcoded version of the EPOS file. Therein, x,y,z data columns are stripped.

-The correspondingly named *.json file is the file which nomad-FAIR parses metadata from.

-Other files constitute logs of the transcoding process.

<br>
<strong>Funding:</strong><br>
The work was partially supported by BiGmax, the Max Planck Society's Research Network on Big-Data-Driven Materials-Science.
DOI: 10.5281/zenodo.4061302
title: Acute sleep hygiene strategy improves objective sleep latency following a late-evening soccer-specific training session: A randomized controlled trial

description: The aim of this study was to evaluate the effects of sleep hygiene (SH) education on sleep quality in soccer players after a late-evening small-sided-game (SSG) training session. Twenty-nine non-professional players were recruited and allocated to either an experimental group (EG, n=17) that received SH education, or a control group (CG, n=12). SSG consisted of 3´4 minutes in a 4vs4, with 3 minutes of recovery and was performed at 8.00 p.m. Sleep quality was monitored via actigraphy and sleep diary entries before (PRE) and two nights after (POST1, POST2) the SSG. Sleep latency (SL) differed between the two groups at POST1 (4.9±5.4 vs. 15.5±16.1 for EG and CG, respectively; p=0.017, effect size [ES]=2.0); SL values were lower at POST1 compared to PRE for the EG (-47%; p=0.021, ES=0.6). Subjective sleep quality was better in the EG than the CG at POST1 (8.6±1.0 vs. 7.1±2.0 for EG and CG, respectively; p=0.016, ES=0.9) with a significant improvement over PRE values (+11.0%, p=0.004, ES=0.8). Despite SL and subjective sleep quality were similar in PRE and POST2, no significant deterioration in such sleep indices over time was observed for EG. No other objective sleep indices were influenced by late-evening training or SH practices implemented by the EG. Soccer players may benefit from acute SH strategies to reduce the time to sleep onset after late-evening training sessions.
DOI: 10.5281/zenodo.6320932
title: herg

description: herg_chembl_torchdrug
DOI: 10.5281/zenodo.4305975
title: Monthly Global NDVI at 5 km based on MODIS and AVHRR products - 1982 to 2019

description: Long-term monthly NDVI calculated through daily images of AVHRR (NOAA/CDR/AVHRR/NDVI/V5) and MOD09GA.006 (MODIS/006/MOD09GA), which were cloud screened and aggregated by percentile 90th on Google Earth Engine-GEE. All the images were exported from GEE to R environment (MOD09GA data were downsampled to 5km using the average), where the follow procedures were executed on a pixel-basis: <strong>Outlier removal</strong> based on a temporal moving window, used to identify and remove NDVI outlier values (<em>i.e.</em> greater or less than 1.5 standard deviation calculated on 60-months time window) <strong>Smoothing and gap filling</strong> approach implemented by the greenbrown package (TSGFssa method) <strong>Temporal harmonization</strong> using MOD09GA NDVI as target variable to train a model <em>[modis.ndvi ~ poly(avhrr.ndvi, 2) + max.temp + min.temp]</em> able to predict the MODIS NDVI before 2000 The final product is composed by 456 NDVI global images without gaps, which were harmonized, from 1982 to 1999, to match with the expected MODIS NDVI values from 2000 onwards. For each month, an auxiliary image indicates which pixels were: <strong>Disregarded</strong>: value 0 (nodata) <strong>Gapfilled</strong>: value 1 <strong>smoothed</strong>: value 2 To access and visualize maps use: OpenLandMap.org Publication in preparation. All files were internally compressed using "COMPRESS=DEFLATE" creation option in GDAL.<br> File naming convention <em>(veg_ndvi_avhrr.mod09ga_p90_5km_s0..0cm_20000101..20000131_v1.0.tif)</em>: veg = Vegetation theme ndvi = Normalized Difference Vegetation Index avhrr.mod09ga = NOAA CDR AVHRR V5 and MOD09GA version 6 products p90 = Percentile 90th to aggregate the daily images 5km = 5 km of spatial resolution s0..0cm = land surface as vertical reference 20000101..20000131 = from 2000-01-01 to 2000-01-31 (time reference) v1.0 = version number
DOI: 10.5281/zenodo.4636658
title: CBF-PET data and code

description: CBF and PET data and accompanying code
DOI: 10.5281/zenodo.4568901
title: Turbulent flow induced noise and vibrations

description: This data consists in mat files containing the vibrational and noise radiation of a bare and metamaterial cavity-backed plate due to a grazing flow excitation. To plot the curves, it is just a matter of running the file ' read_files_tbl_NVH.m '
DOI: 10.5281/zenodo.3677586
title: Dataset for OBS2013-1

description: In April and May 2013, the ‘Shiptime Sharing Project of NSFC’ conducted a geophysical cruise across the Xisha Islands using the R/V ‘Shiyan 2’. During the cruise, a ~500 km long wide-angle seismic profile (OBS2013-1) striking NW-SE was acquired starting from west of the Xisha Trough and reaching the south of the Zhongsha Bank and coinciding with a multi-channel reflection seismic profile of four streamers. Thirty ocean bottom seismometers (OBS) spaced at ~15 km were deployed, among which 25 OBSs were successfully recovered and provided useful data. Four air guns with a total volume of ~98 L were deployed ~30 m behind the vessel and shot every 120 s, leading to ~300 m shot spacing at a ship speed of ~5.0 Kn.
DOI: 10.5281/zenodo.5899624
title: Ipsilateral stimulus encoding in primary and secondary somatosensory cortex of awake mice

description: Data and code to accompany "Ipsilateral stimulus encoding in primary and secondary somatosensory cortex of awake mice" by Pala and Stanley, in press, Journal of Neuroscience, 2022.