cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh119716.07fu
title: SH119716.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119717.07fu
title: SH119717.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119718.07fu
title: SH119718.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119719.07fu
title: SH119719.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119720.07fu
title: SH119720.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119721.07fu
title: SH119721.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh119722.07fu
title: SH119722.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.25148381
title: "<b>GLYCO GUARDIAN</b>" - DESENVOLVIMENTO DE APLICATIVO MÓVEL PARA TELEMONITORAMENTO DE PACIENTES COM DIABETES MELLITUS NA ATENÇÃO PRIMÁRIA À SAÚDE

description: OBJETIVO GERAL:Estruturar o banco de dados para o desenvolvimento o aplicativo móvel para telemonitoramento de pacientes com diabetes mellitus na atenção primária em saúde.OBJETIVOS ESPECÍFICOS:I) Identificar os diagnósticos de enfermagem a partir da Classificação Internacional para as Práticas de Enfermagem (CIPE®) para pacientes com diabetes mellitus.II) Elaborar o plano de cuidados de enfermagem baseado em evidências científicas para pacientes com diabetes mellitus.Os dados do presente projeto de pesquisa é parte integrante do macroprojeto de pesquisa intitulado “Saúde Móvel e Telemonitoramento na Atenção Primária em Saúde: uma proposta para a(o) enfermeira(o) virtual no Brasil”, aprovado na Chamada CNPq/MCTI/FNDCT Nº 18/2021 – UNIVERSAL (Processo nº: 409561/202), sob coordenação da Prof. Dra. Grace Teresinha Marcon Dal Sasso.<br>
DOI: 10.6084/m9.figshare.25148381.v1
title: "<b>GLYCO GUARDIAN</b>" - DESENVOLVIMENTO DE APLICATIVO MÓVEL PARA TELEMONITORAMENTO DE PACIENTES COM DIABETES MELLITUS NA ATENÇÃO PRIMÁRIA À SAÚDE

description: OBJETIVO GERAL:Estruturar o banco de dados para o desenvolvimento o aplicativo móvel para telemonitoramento de pacientes com diabetes mellitus na atenção primária em saúde.OBJETIVOS ESPECÍFICOS:I) Identificar os diagnósticos de enfermagem a partir da Classificação Internacional para as Práticas de Enfermagem (CIPE®) para pacientes com diabetes mellitus.II) Elaborar o plano de cuidados de enfermagem baseado em evidências científicas para pacientes com diabetes mellitus.Os dados do presente projeto de pesquisa é parte integrante do macroprojeto de pesquisa intitulado “Saúde Móvel e Telemonitoramento na Atenção Primária em Saúde: uma proposta para a(o) enfermeira(o) virtual no Brasil”, aprovado na Chamada CNPq/MCTI/FNDCT Nº 18/2021 – UNIVERSAL (Processo nº: 409561/202), sob coordenação da Prof. Dra. Grace Teresinha Marcon Dal Sasso.<br>
DOI: 10.6084/m9.figshare.25153328
title: beijing_aq-2018.csv

description: 数据正在整理中，我们首先发布了北京的空气污染物数据。
DOI: 10.5281/zenodo.10471579
title: LFC Dataset: Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis
DOI: 10.5281/zenodo.10471580
title: LFC Dataset: Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis
DOI: 10.6084/m9.figshare.25152692.v2
title: <b>BAG6 inhibits influenza A virus </b><b>replication </b><b>by inducing viral polymerase subunit PB2 degradation and perturbing RdRp complex assembly</b>

description: Source data for main figure plots and graphs and the raw data of western blot and IF in this study
DOI: 10.6084/m9.figshare.25154432
title: Embodiment of power: People choose reward, but are attracted by power. A new multiplayer dynamic economic game framework

description: <pre>#### Files Included<br>- **info_data_25112022_all.csv**: Raw data file containing general information about the participants.<br>- **trial_data_25112022.csv**: Raw data file containing trial-specific data.<br>- **R scripts**: A set of 6 R scripts, each commented for clarity, that can be used to reproduce the analysis presented in the paper. Details of the scripts are available in the Supplementary information.<br><br>#### How to Use this Repository<br>To reproduce the analysis or further explore the data, follow these steps:<br><br> - `pre_process_raw_data.r`: Loads and preprocesses the raw data.<br> - `pre_process_mt_role_choice.r`: Preprocesses Mt trajectories.<br> - `lmms_mt_choice.r`: Mixed models for MAD, AUC, AD, RT and Xflips.<br> - `cluster_analysis_mt_choice.r`: Cluster analysis MT and vizualisation.<br> - `trajectories_mt_choice.r`: MT trajectories vizualisation.<br> - `glmm_mt_choice.r`: Statistical analysis and visualization of the response in role choice (Generalized Linear Mixed Models).<br><br>Each script is commented to provide a clear understanding of the steps and methodologies used.</pre>
DOI: 10.6084/m9.figshare.25152692.v3
title: <b>BAG6 inhibits influenza A virus </b><b>replication </b><b>by inducing viral polymerase subunit PB2 degradation and perturbing RdRp complex assembly</b>

description: Source data for main figure plots and graphs in this study
DOI: 10.5066/p97qs4yc
title: Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

description: This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
DOI: 10.6084/m9.figshare.25152692
title: <b>BAG6 inhibits influenza A virus </b><b>replication </b><b>by inducing viral polymerase subunit PB2 degradation and perturbing RdRp complex assembly</b>

description: Source data for main figure plots and graphs in this study
DOI: 10.6084/m9.figshare.25152692.v4
title: <b>BAG6 inhibits influenza A virus </b><b>replication </b><b>by inducing viral polymerase subunit PB2 degradation and perturbing RdRp complex assembly</b>

description: Source data for main figure plots and graphs in this study
DOI: 10.5281/zenodo.10616074
title: LVING sample input dataset and result
DOI: 10.5281/zenodo.10616075
title: LVING sample input dataset and result
DOI: 10.5281/zenodo.10603818
title: The data for "Theoretical study of electron capture, excitation and ionization processes in H$^+$-H(2$l$) collisions"

description: ReadMe.md: description about documents.

Cross Sections.xlsx: H^+ + H(2l) collisions electron capture, excitation and ionization cross-sections calculated by QMOCC and TC-AOCC method.

PEC-Sigma_G.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Siamg_g^+$.PEC-Sigma_U.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Siamg_u^+$.PEC-Pi_G.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Pi_g$.PEC-Pi_U.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Pi_u$. RAD-Sigma_G.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_g^+$.RAD-Sigma_U.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_u^+$.RAD-Pi_G.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Pi_g$.RAD-Pi_U.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Pi_u$.

ROT_G.xlsx: Rotational coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_g^+$ and $^2\Pi_g$.ROT_G.xlsx: Rotational coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_u^+$ and $^2\Pi_u$.
DOI: 10.5281/zenodo.10603819
title: The data for "Theoretical study of electron capture, excitation and ionization processes in H$^+$-H(2$l$) collisions"

description: ReadMe.md: description about documents.

Cross Sections.xlsx: H^+ + H(2l) collisions electron capture, excitation and ionization cross-sections calculated by QMOCC and TC-AOCC method.

PEC-Sigma_G.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Siamg_g^+$.PEC-Sigma_U.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Siamg_u^+$.PEC-Pi_G.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Pi_g$.PEC-Pi_U.xlsx: Potential energy curves of hydrogen molecular ionic state $^2\Pi_u$. RAD-Sigma_G.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_g^+$.RAD-Sigma_U.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_u^+$.RAD-Pi_G.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Pi_g$.RAD-Pi_U.xlsx: Radial coupling matrix elements between hydrogen molecular ionic states $^2\Pi_u$.

ROT_G.xlsx: Rotational coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_g^+$ and $^2\Pi_g$.ROT_G.xlsx: Rotational coupling matrix elements between hydrogen molecular ionic states $^2\Siamg_u^+$ and $^2\Pi_u$.
DOI: 10.25545/gpfjgq/tse5fx
title: Train_DSM_Fredericton.zip

description: :unav
DOI: 10.25545/gpfjgq/8sspjh
title: Train_RGB_Fredericton.zip

description: :unav
DOI: 10.25545/gpfjgq/isjldz
title: Test_DSM_Moncton.zip

description: :unav
DOI: 10.25545/gpfjgq/wfurhe
title: Test_RGB_Moncton.zip

description: :unav
DOI: 10.25545/gpfjgq/jxltkx
title: Valid_RGB_Moncton.zip

description: :unav
DOI: 10.25545/gpfjgq/k4g5r0
title: Valid_DSM_Moncton.zip

description: :unav
DOI: 10.25545/gpfjgq
title: Roof Types Dataset

description: The roof-type dataset includes 2224 samples of high-resolution RGB optical images of roofs alongside their elevation (DSM) data. This comprehensive dataset encompasses nine common roof types: Flat, Gable, Hip, Cross-Hip, Gable-Flat, Gambrel, Cross-Gable, Dutch-Gable, and Pyramid-Hip. The dataset has been structured into three parts, namely training, testing, and validation sets. The training set was created using buildings located in Fredericton, New Brunswick, Canada, while the test and validation sets were generated based on buildings in Moncton, New Brunswick, Canada. To ensure the highest level of accuracy for CNN-based classification, the training set was augmented to make 1000 samples for each class. This dataset contains information licensed under the Open Government Licence – New Brunswick.
DOI: 10.6084/m9.figshare.24759453
title: Bandyopadhyay et al Supp Table.pdf

description: Research Subject Demographics
DOI: 10.6084/m9.figshare.24759453.v1
title: Bandyopadhyay et al Supp Table.pdf

description: Research Subject Demographics
DOI: 10.6084/m9.figshare.24759453.v2
title: Bandyopadhyay et al Supp Table.pdf

description: Research Subject Demographics
DOI: 10.5517/ccdc.csd.cc2cnjtd
title: CCDC 2194484: Experimental Crystal Structure Determination

description: Related Article: Sven Kather, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
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.cc2cnkn8
title: CCDC 2194510: Experimental Crystal Structure Determination

description: Related Article: Kevin Rudolph, Christoph Wölper, Michael Giese|2022|CSD Communication|||
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.cc2cnl2q
title: CCDC 2194523: Experimental Crystal Structure Determination

description: Related Article: Kevin Rudolph, Christoph Wölper, Michael Giese|2022|CSD Communication|||
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.cc2cnl3r
title: CCDC 2194524: Experimental Crystal Structure Determination

description: Related Article: Kevin Rudolph, Christoph Wölper, Michael Giese|2022|CSD Communication|||
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.cc2cnld1
title: CCDC 2194533: Experimental Crystal Structure Determination

description: Related Article: Michael Pfletcher, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
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.cc2cnlh4
title: CCDC 2194536: Experimental Crystal Structure Determination

description: Related Article: Michael Pfletcher, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
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.cc2cnplb
title: CCDC 2194632: Experimental Crystal Structure Determination

description: Related Article: Lu Liang|2022|CSD Communication|||
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.cc2cppg7
title: CCDC 2195589: Experimental Crystal Structure Determination

description: Related Article: Zheng Yue|2022|CSD Communication|||
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.cc2cpkyl
title: CCDC 2195480: Experimental Crystal Structure Determination

description: Related Article: Michael Pfletcher, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
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.cc2cpkzm
title: CCDC 2195481: Experimental Crystal Structure Determination

description: Related Article: Michael Pfletcher, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
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.