cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10810484
title: Dataset for: On the Nature of Hydrophobic Organic Compound Adsorption to Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions

description: This dataset contains all data obtained from first principle DFT calculations at the PBE-D3 DFT levelby the program VASP  for the paper published in the journal "Minerals". Please cite this article when using the dataset.Title: "On the Nature of Hydrophobic Organic Compound Adsorptionto Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions."

Authors: Peter Grancic, Leonard Böhm, Martin H. Gerzabek, and Daniel Tunega DOI10.3390/min13020280.  

The model systems are Ca-montmorillonite (Ca-Mt) models with varying layer charge from the Mg/Al substitutions.Calculated are interaction energies of hexachlorobenzene (HCB) with Ca-Mt models in various configurations.QE.dat file is file with collected energies of all models, Collect_QE.py is a selfmade python file for the collection of energies.The structure of all directories is as following:HCBCaxxx directories contain optimized  HCB-CaMt complexesHCBCaxxx_Clay directories contain  pure CaMt modelsHCBCaxxx_HOC  directories contain only HOC moleculeEach directory contains:-input geometry data (POSCAR file)-optimized geometries (CONTCAR.norm file)-input parameters for VASP (INCAR file)-k-points (KPOINTS file)-complete output files (OUTCAR.norm and vasprun.xml.norm files)POTCAR file with pseudopotentials are not provided due to copyright rights.Their type can be found in OUTCAR or vasprun.xml files.

Funding: This work has been supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), grant number 443637168, BO5388/1–1 and Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung, FWF), grant number I 4876–N in the bilateral project ”Clay minerals as sorbents for hydrophobic organic chemicals – ClayHOC”.  The resultspresented have been achieved using the Vienna Scientific Cluster (VSC), project number 70544.

Terms of use: These data are provided "as is", without any warranty. This dataset is provided under the Creative Commons Attribution 4.0 International license.
DOI: 10.5281/zenodo.10810485
title: Dataset for: On the Nature of Hydrophobic Organic Compound Adsorption to Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions

description: This dataset contains all data obtained from first principle DFT calculations at the PBE-D3 DFT levelby the program VASP  for the paper published in the journal "Minerals". Please cite this article when using the dataset.Title: "On the Nature of Hydrophobic Organic Compound Adsorptionto Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions."

Authors: Peter Grancic, Leonard Böhm, Martin H. Gerzabek, and Daniel Tunega DOI10.3390/min13020280.  

The model systems are Ca-montmorillonite (Ca-Mt) models with varying layer charge from the Mg/Al substitutions.Calculated are interaction energies of hexachlorobenzene (HCB) with Ca-Mt models in various configurations.QE.dat file is file with collected energies of all models, Collect_QE.py is a selfmade python file for the collection of energies.The structure of all directories is as following:HCBCaxxx directories contain optimized  HCB-CaMt complexesHCBCaxxx_Clay directories contain  pure CaMt modelsHCBCaxxx_HOC  directories contain only HOC moleculeEach directory contains:-input geometry data (POSCAR file)-optimized geometries (CONTCAR.norm file)-input parameters for VASP (INCAR file)-k-points (KPOINTS file)-complete output files (OUTCAR.norm and vasprun.xml.norm files)POTCAR file with pseudopotentials are not provided due to copyright rights.Their type can be found in OUTCAR or vasprun.xml files.

Funding: This work has been supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), grant number 443637168, BO5388/1–1 and Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung, FWF), grant number I 4876–N in the bilateral project ”Clay minerals as sorbents for hydrophobic organic chemicals – ClayHOC”.  The resultspresented have been achieved using the Vienna Scientific Cluster (VSC), project number 70544.

Terms of use: These data are provided "as is", without any warranty. This dataset is provided under the Creative Commons Attribution 4.0 International license.
DOI: 10.5281/zenodo.10812177
title: Simulation results of time-variable gravity fields(TVG) for 2004-2005 based on multiple GRACE-like constellations

description: Simulation results of time-variable gravity fields(TVG)  for 2004-2005 based on single-polar, dual-polar and bender constellations, which are given in form of spherical harmonic coefficients. Details are shown in "Data Introduction.pdf".
DOI: 10.5281/zenodo.10812176
title: Simulation results of time-variable gravity fields(TVG) for 2004-2005 based on multiple GRACE-like constellations

description: Simulation results of time-variable gravity fields(TVG)  for 2004-2005 based on single-polar, dual-polar and bender constellations, which are given in form of spherical harmonic coefficients. Details are shown in "Data Introduction.pdf".
DOI: 10.5281/zenodo.6905332
title: N20EM dataset for multimodal lyric transcription

description: <strong>Note: To access the dataset, please submit the request at Zenodo page of the newer version of this dataset.</strong> N20EM dataset for multimodal lyric transcription, proposed in our ACM MM 2022 paper, MM-ALT: A Multimodal Automatic Lyric Transcription System. It contains recordings of three modalities: audio, video, and IMU motion signal. Please cite our work as: <pre><code>@inproceedings{gu2022mm, title={MM-ALT: A multimodal automatic lyric transcription system}, author={Gu, Xiangming and Ou, Longshen and Ong, Danielle and Wang, Ye}, booktitle={Proceedings of the 30th ACM International Conference on Multimedia}, pages={3328--3337}, year={2022} }</code></pre> Our paper's camera ready version: https://arxiv.org/abs/2207.06127 Project website: https://n20em.github.io/
description: {"references": ["Gu, X., Ou, L., Ong, D. and Wang, Y., 2022, October. Mm-alt: A multimodal automatic lyric transcription system. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 3328-3337)."]}
DOI: 10.5281/zenodo.10732312
title: DICOM WG-26 Whole Slide Imaging Annotations Connectathon: Imaging Data Commons entry

description: This data descriptor contains DICOM Slide Microscopy (SM modality) images and DICOM 2D point and polygon Bulk Annotations (ANN modality) submitted by the Imaging Data Commons team as part of the participation in the 2024 DICOM Working Group 26 Annotations Connectathon (https://dicom-wg26-connectathons.github.io/2024-annotations/).

Detailed content of the descriptor is as follows:



Images correspond to 3 series selected from the DICOM-converted slides incuded in the TCGA-READ collection (originally shared in vendor-specific format in https://portal.gdc.cancer.gov/projects/TCGA-READ) and available from NCI Imaging Data Commons [1] at https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_read. Specifically, the following series are included, as defined by their `PatientID`, `StudyInstanceUID` and `SeriesInstanceUID` values. Each individual series contains multiple files corresponding to different resolution layers, shared as zip files. 



`TCGA-AF-2687.zip`: series `1.3.6.1.4.1.5962.99.1.2251401802.152239158.1638633974346.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.213661963103110408605329613498871186883/series/1.3.6.1.4.1.5962.99.1.2251401802.152239158.1638633974346.2.0

`TCGA-AF-2689.zip`: series `1.3.6.1.4.1.5962.99.1.2259090539.712983657.1638641663083.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.312916405820155829215771528638931942827/series/1.3.6.1.4.1.5962.99.1.2259090539.712983657.1638641663083.2.0

`TCGA-AF-2690.zip`: series `1.3.6.1.4.1.5962.99.1.2247972296.1080138101.1638630544840.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.158926540358526295486644564130790202309/series/1.3.6.1.4.1.5962.99.1.2247972296.1080138101.1638630544840.2.0



`polygon_annotations.zip`: 2D polygon annotations of the boundary of the cell nuclei. Conversion into DICOM ANN was performed from the original content shared in [2].

`point_annotations.zip`: 2D point annotations corresponding to the centroids of the cell nuclei defined in the prior polygon annotations.
DOI: 10.5883/ds-cedegran
title: Cedestis granadensis sp. nov., a new species from Spain (Lepidoptera, Yponomeutidae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.2908/proj_stp24
title: Short-term update of the projected population (2024-2050)
title: Actualisation à court terme des projections de population (2024-2050)
title: Kurzfristige aktualisierte Bevölkerungsvorausberechnung (2024-2050)
DOI: 10.5517/ccdc.csd.cc2dmfyf
title: CCDC 2223225: Experimental Crystal Structure Determination

description: Related Article: Liuyang Jing, Evelyne Deplazes, Jack K. Clegg, Xin Wu|2024|Nature Chemistry|16|335|doi:10.1038/s41557-024-01457-5
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.cc2g3bsq
title: CCDC 2267333: Experimental Crystal Structure Determination

description: Related Article: Yongling Zheng, Panpan Chen, Zhigang Niu, Enju Wang|2024|Spectrochim.Acta,Part A|312|124035|doi:10.1016/j.saa.2024.124035
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: 10.3886/e193344v1
title: Data and Code for: "The Political Development Cycle: the Right and the Left in People’s Republic of China from 1953"

description: We quantify the effects of the political development cycle – the fluctuations between the left (Maoist) and the right (pragmatist) development policies – on growth and structural transformation of China in 1953-1978. The left policies prioritized structural transformation towards non-agricultural production and consumption at the cost of agricultural development. The right policies prioritized agricultural consumption through slower structural transformation. The imperfect implementation of these policies led to large welfare costs of the political development cycle in a distorted economy undergoing a structural change.
description: other;
DOI: 10.3886/e193344
title: Data and Code for: "The Political Development Cycle: the Right and the Left in People’s Republic of China from 1953"

description: We quantify the effects of the political development cycle – the fluctuations between the left (Maoist) and the right (pragmatist) development policies – on growth and structural transformation of China in 1953-1978. The left policies prioritized structural transformation towards non-agricultural production and consumption at the cost of agricultural development. The right policies prioritized agricultural consumption through slower structural transformation. The imperfect implementation of these policies led to large welfare costs of the political development cycle in a distorted economy undergoing a structural change.
description: other;
DOI: 10.3886/icpsr38016.v1
title: Toledo Adolescent Relationships Study (TARS): Wave 6, 2018-2020
title: Version 1

description: Prior research on parental incarceration has documented negative effects on various forms of child well-being ranging from conduct problems to academic deficits and eventually, an intergenerational cycle of criminal justice involvement. Yet as the National Academy of Sciences committee report on incarceration recently concluded, existing research has not adequately assessed the range of other family circumstances and disadvantages that may co-vary with the parent's criminal justice system involvement, and knowledge about basic mechanisms underlying incarceration effects remains markedly incomplete. This study builds on, a ten-year mixed method longitudinal study, the Toledo Adolescent Relationships Study (TARS), that has focused on the lives of a sample of men and women interviewed first as adolescents and four additional times across the transition to adulthood. The TARS study contains data involving patterns and seriousness of parental offending over the complete study period, as well as about other time-varying factors hypothesized to mediate incarceration-child well-being associations.
 The primary goal of this study is to collect survey data to examine the effect of parental incarceration on a range of child well-being outcomes, including conduct problems, academic readiness/achievement and emotional and physical health, among children born to participants in the TARS study. Child well-being outcomes includes internalizing and externalizing problems, academic readiness/attainment, and emotional and physical health. This study also includes parental disadvantages across the three subgroups of system contact, including variation in objective and subjective indicators of economic marginality, relationship difficulties, perceived stress, depression, and lack of social support.
description: The study focused on three specific aims including: (1) data collection and analyses of parents' criminal justice contact and their reports of child well-being outcomes, (2) data collection and assessment of variability in crime and incarceration exposure across the child's full social network (including multigenerational patterns of parental incarceration), and (3) data collection and investigation of incarceration-specific hypotheses about mediating mechanisms.
description: None
description: Response Rates: 1,021 respondents participated in the fifth wave of data collection, 77.6% of the original sample (n=1,316 at the first wave).
description: The final sample (n = 990), included 559 women and 431 men with children from 62 schools across seven school districts in Ohio.
description: Datasets: 
DS1: Toledo Adolescent Relationships Study (TARS): Wave 6, 2018-2020
description: Young adults who were in the 7th, 9th, and 11th grade in Lucas County, Ohio during the 2000-2001 school year. Smallest Geographic Unit: State
description: telephone interview; web-based surveyFor additional information on the Toledo Adolescent Relationships Study, please visit the Toledo Adolescent Relationships Study (TARS): Wave 6 website.
DOI: 10.23720/bt2023/2316180
title: Appendix A. Appendix to Chapter 2: Biomass Currently Used for Energy and Coproducts

description: Jacobson, R., and S. Curran. 2024. “Appendix A. Appendix to Chapter 2: Biomass Currently Used for Energy and Coproducts.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316180.
DOI: 10.23720/bt2023/2316181
title: Appendix B. Appendix to Chapter 4: Biomass from the Forested Land Base

description: Davis, M., L. Lambert, R. Jacobson, D. Rossi, C. Brandeis, J. Fried, B. English, et al. 2024. “Appendix B. Appendix to Chapter 4: Biomass from the Forested Land Base.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316181.
DOI: 10.23720/bt2023/2316182
title: Appendix C. Appendix to Chapter 5: Biomass from Agriculture

description: Hellwinckel, C., D. de la Torre Ugarte, J. L. Field, and M. Langholtz. 2024. “Appendix C. Appendix to Chapter 5: Biomass from Agriculture.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316182.
DOI: 10.23720/bt2023/2316183
title: Appendix D. Appendix to Chapter 7.1: Microalgae

description: Davis, R., A. Coleman, T. R. Hawkins, B. Klein, J. Zhang, Y. Zhu, S. Gao, et al. 2024. “Appendix D. Appendix to Chapter 7.1: Microalgae.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316183.
DOI: 10.23720/bt2023/2316184
title: Appendix E. Appendix to Chapter 7.2: Macroalgae

description: Coleman, A., K. Davis, J. DeAngelo, T. Saltiel, B. Saenz, L. Miller, K. Champion, E. Harrison, and A. Otwell. 2024. “Appendix E. Appendix to Chapter 7.2: Macroalgae.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316184.
DOI: 10.23720/bt2023/2316185
title: Appendix F. Appendix to Chapter 7.3: CO2 Emissions from Stationary Sources

description: Badgett, A., G. Cooney, J. Hoffmann, and A. Milbrandt. 2024. “Appendix F. Appendix to Chapter 7.3: CO2 Emissions from Stationary Sources.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316185.
DOI: 10.5281/zenodo.10820677
title: Matrices for a thermal model of a battery pack

description: This dataset contains matrices for a numerical thermal model of a battery pack.

For more information see the description in the MOR Wiki.
DOI: 10.5281/zenodo.10820678
title: Matrices for a thermal model of a battery pack

description: This dataset contains matrices for a numerical thermal model of a battery pack.

For more information see the description in the MOR Wiki.
DOI: 10.5281/zenodo.6900583
title: Metagenomics Dataset From Chemocline of Lake Cadagno

description: The metagenomics dataset was collected from the persistent microbial bloom from the chemocline (oxic-anoxic boundary) of Lake Cadagno. The location of the chemocline was between 13-15.5 m in depth on the day of sampling (29 August 2017). There are a total of 4 metagenomics samples collected between 13-15.5m depth labeled as 13m, 15mm, 15mw (without mesh), and 15_5m.

If you use this dataset, please cite both the article and Zenodo source

1) Saini, J.S., Manni, M., Hassler, C. et al. Genomic insights into the coupling of a Chlorella-like microeukaryote and sulfur bacteria in the chemocline of permanently stratified Lake Cadagno. ISME J 17, 903–915 (2023). https://doi.org/10.1038/s41396-023-01396-y

2) Jaspreet Singh Saini, Mosè Manni, Christel Hassler, Rachel Cable, Melissa B. Duhaime, & Evgeny M. Zdobnov. (2023). Metagenomics Dataset From Chemocline of Lake Cadagno [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7505505
DOI: 10.5281/zenodo.6900584
title: Metagenomics Dataset From Chemocline of Lake Cadagno

description: The metagenomics dataset was collected from the persistent microbial bloom from the chemocline (oxic-anoxic boundary) of Lake Cadagno. The location of the chemocline was between 13-15.5 m in depth. There are a total of 4 metagenomics samples; one from 13 m, two from 15 m (with and without mesh collected from the peak of turbidity), and one from 15.5 m. The title of the publication is <em>Metagenomics provides a near-complete genome of Chlorella-like microbial eukaryote and reveals its potential for carbon, sulphur and nitrogen metabolism in Proterozoic ocean analogue</em> List of data: SPAdes generated main metagenomics assemblies, Overall MAGs obtained using CONCOCT, Novel refined Chlorophyta MAG with its raw reads, and assembly.
DOI: 10.5281/zenodo.7004749
title: Metagenomics Dataset From Chemocline of Lake Cadagno

description: The metagenomics dataset was collected from the persistent microbial bloom from the chemocline (oxic-anoxic boundary) of Lake Cadagno. The location of the chemocline was between 13-15.5 m in depth. There are a total of 4 metagenomics samples; one from 13 m, two from 15 m (with and without mesh collected from the peak of turbidity), and one from 15.5 m. The title of the prospective publication is <em>Metagenomics provides a near-complete genome of Chlorella-like microbial eukaryote and reveals its potential for carbon, sulphur and nitrogen metabolism in Proterozoic ocean analogue</em> List of data: SPAdes generated main metagenomics assemblies, Overall MAGs obtained using CONCOCT, Novel refined Chlorophyta MAG with its raw reads and group. Plus, two additional chloroplast genomes.
DOI: 10.5281/zenodo.7326469
title: Metagenomics Dataset From Chemocline of Lake Cadagno

description: The metagenomics dataset was collected from the persistent microbial bloom from the chemocline (oxic-anoxic boundary) of Lake Cadagno. The location of the chemocline was between 13-15.5 m in depth on the day of sampling (29 August 2017). There are a total of 4 metagenomics samples collected between 13-15.5m depth labeled as 13m, 15mm, 15mw (without mesh), and 15_5m. Following is the title of the publication: <em><strong>Near-complete genome of Chlorella-like photosynthetic microbial eukaryote reveals its potential for carbon, sulfur, and nitrogen metabolism in high alpine Meromictic Lake Cadagno</strong></em>.
DOI: 10.5281/zenodo.7505505
title: Metagenomics Dataset From Chemocline of Lake Cadagno

description: The metagenomics dataset was collected from the persistent microbial bloom from the chemocline (oxic-anoxic boundary) of Lake Cadagno. The location of the chemocline was between 13-15.5 m in depth on the day of sampling (29 August 2017). There are a total of 4 metagenomics samples collected between 13-15.5m depth labeled as 13m, 15mm, 15mw (without mesh), and 15_5m.

If you use this dataset, please cite both the article and Zenodo source

1) Saini, J.S., Manni, M., Hassler, C. et al. Genomic insights into the coupling of a Chlorella-like microeukaryote and sulfur bacteria in the chemocline of permanently stratified Lake Cadagno. ISME J 17, 903–915 (2023). https://doi.org/10.1038/s41396-023-01396-y

2) Jaspreet Singh Saini, Mosè Manni, Christel Hassler, Rachel Cable, Melissa B. Duhaime, & Evgeny M. Zdobnov. (2023). Metagenomics Dataset From Chemocline of Lake Cadagno [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7505505
DOI: 10.5281/zenodo.10822039
title: List of STEAM interventions for Students with Disabilities (SWDs) from 2013-2023

description: List of Science, Technology, Engineering, the Arts and Mathematics (STEAM) interventions for Students with Disabilities (SWDs) from Early Childhood to Tertiary Education. This list was constructed for a systematic literature review (SLR) of educational interventions and strategies for SWDs from 2013-2023. The list contains the authors, the disability or disorder addressed, the STEAM area, the research approach, participants/educational level, learning outcomes, and conclusions.
DOI: 10.5281/zenodo.10822040
title: List of STEAM interventions for Students with Disabilities (SWDs) from 2013-2023

description: List of Science, Technology, Engineering, the Arts and Mathematics (STEAM) interventions for Students with Disabilities (SWDs) from Early Childhood to Tertiary Education. This list was constructed for a systematic literature review (SLR) of educational interventions and strategies for SWDs from 2013-2023. The list contains the authors, the disability or disorder addressed, the STEAM area, the research approach, participants/educational level, learning outcomes, and conclusions.
DOI: 10.17632/33323x6b55.1
title: Blocking cGAS-STING Pathway Promotes Post-Stroke Functional Recovery in An Extended Treatment Window via Facilitating Remyelination

description: Detailed description of this data can be accessed in Hu et al. Blocking cGAS-STING Pathway Promotes Post-Stroke Functional Recovery in An Extended Treatment Window via Facilitating Remyelination.
DOI: 10.17632/sbhf6g4b76.1
title: The ONE InstantCare for Melamine

description: This data is about melamine detection using a lateral flow immunoassay method with a micro-spectrometer integrated in the The ONE InstantCare POCT machine.
DOI: 10.5519/qd.5g9gwnt5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (279 records)