cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-dc-2008703189
title: Raw diffraction images of Proteinase K, collected with serial microsecond crystallography at ID29 using fixed-target (large foils) with 50 um spacing between X-ray pulses

description: Raw diffraction images of Proteinase K, collected with serial microsecond crystallography at ID29 using fixed-target (large foils) with 50 um spacing between X-ray pulses
DOI: 10.6084/m9.figshare.28079462
title: Quality of Life Score for Experimental and Control Group (Pre and Post)

description: Due to its combination of speed, tactics and accuracy, table tennis is becoming one of the sport exercises that is suitable for the older adult. Casual play is fun and relaxing, and more serious table tennis might further skill development through focused practice. The randomized controlled trial (RCT) aimed to determine how the practice of competition compared to leisure playing affects the Quality of life (QoL) of people aged 40-70. Selecting subjects at random, one group of subjects undertook a structured competitive regimen while the other group was given time to play recreationally without any structured competition. QoL was measured before and after the intervention using WHOQOL-BREF, measuring their physical, psychological, social, and environmental domains. Data were analyzed using paired and independent t-tests. The group which received structured competition reported a marked improvement in their QoL indicators especially in physical health (p &lt; 0.001), psychological health (p &lt; 0.001), social relationships (p = 0.001) when compared to the control group that was not structured which showed few improvements. No significant differences were observed in the environmental domain for either group.
DOI: 10.6084/m9.figshare.28079462.v1
title: Quality of Life Score for Experimental and Control Group (Pre and Post)

description: Due to its combination of speed, tactics and accuracy, table tennis is becoming one of the sport exercises that is suitable for the older adult. Casual play is fun and relaxing, and more serious table tennis might further skill development through focused practice. The randomized controlled trial (RCT) aimed to determine how the practice of competition compared to leisure playing affects the Quality of life (QoL) of people aged 40-70. Selecting subjects at random, one group of subjects undertook a structured competitive regimen while the other group was given time to play recreationally without any structured competition. QoL was measured before and after the intervention using WHOQOL-BREF, measuring their physical, psychological, social, and environmental domains. Data were analyzed using paired and independent t-tests. The group which received structured competition reported a marked improvement in their QoL indicators especially in physical health (p &lt; 0.001), psychological health (p &lt; 0.001), social relationships (p = 0.001) when compared to the control group that was not structured which showed few improvements. No significant differences were observed in the environmental domain for either group.
DOI: 10.15151/esrf-dc-2008703197
title: Raw diffraction images of lysozyme with ligand GlcNAc, collected with serial microsecond crystallography at ID29 using fixed-target (Si chip)

description: Raw diffraction images of lysozyme with ligand GlcNAc, collected with serial microsecond crystallography at ID29 using fixed-target (Si chip)
DOI: 10.5281/zenodo.14544945
title: Simulating online conversations - long checks

description: Long checks obtained using the social simulator proposed in "Simulating online conversations using ABMs and LLMs". The data includes each message in each cascade, along with the features computed in the study.
DOI: 10.5281/zenodo.14544946
title: Simulating online conversations - long checks

description: Long checks obtained using the social simulator proposed in "Simulating online conversations using ABMs and LLMs". The data includes each message in each cascade, along with the features computed in the study.
DOI: 10.15468/dl.sz2v55
title: Occurrence Download

description: A dataset listing the 67 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((85.56658 22.0663,87.74336 22.0663,87.74336 23.72951,85.56658 23.72951,85.56658 22.0663))",
 "TaxonKey is one of (Plantae, Shorea robusta Roth, Butea monosperma (Lam.) Taubert, Schleichera oleosa (Lour.) Merr., Bassia longifolia J.Koenig ex L., Diospyros tupru Buch.-Ham., Terminalia chebula Willd., Emblica officinalis Gaertn., Terminalia belirica (Gaertn.) Wall., Pongamia pinnata (L.) Merr., Syzygium cumini var. cumini, Dalbergia sissoo Miq., Acacia catechu Wight & Arn.)",
 "Year 2009-2014"
 ]
}

 The dataset's 67 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046140-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26302/sshade/bandlist_abs_ch3cn_alpha-ch3cn
title: Absorption band list of CH3CN in solid CH3CN (phase alpha or I)

description: FIR-MIR absorption band list of $CH_3CN$ in solid $CH_3CN$ (phase alpha or I) at 20, 80 and 210 K
DOI: 10.5281/zenodo.14018972
title: FACS results for Variability in Protein Expression and Fitness Under Stress: Distinct Modes of Early Adaptation of Populations Knafo et al
DOI: 10.5281/zenodo.14018973
title: FACS results for Variability in Protein Expression and Fitness Under Stress: Distinct Modes of Early Adaptation of Populations Knafo et al
DOI: 10.26302/sshade/bandlist_raman_ch3cn_alpha-ch3cn
title: Raman band list of CH3CN in solid CH3CN (phase alpha or I)

description: FIR-MIR Raman band list of $CH_3CN$ in solid $CH_3CN$ (phase alpha or I) at 80 K
DOI: 10.6084/m9.figshare.28078808
title: <b>Global meta-analysis shows an indispensable role of pollinator diversity in promoting fruit quality</b>. Data and codes_Ochola et al.

description: This dataset contains data extracted from 79 studies investigating the impact of pollination services on fruit quality traits across multiple biomes and experimental conditions. Data include effect sizes for different fruit quality traits such as size, shape, taste, appearance, and nutritional content (macronutrients and micronutrients) under varying pollinator conditions. The studies analyzed span global biomes, with data on pollinator species richness, visitation rates, and pollinator traits. This dataset supports a meta-analysis of pollination effects on fruit crops fruit quality, which employs random-effects models to assess moderating variables including experimental scale, biome, pollinator guilds, managed vs wild pollinators and field vs greenhouse fruit environment.
DOI: 10.6084/m9.figshare.28078808.v1
title: <b>Global meta-analysis shows an indispensable role of pollinator diversity in promoting fruit quality</b>. Data and codes_Ochola et al.

description: This dataset contains data extracted from 79 studies investigating the impact of pollination services on fruit quality traits across multiple biomes and experimental conditions. Data include effect sizes for different fruit quality traits such as size, shape, taste, appearance, and nutritional content (macronutrients and micronutrients) under varying pollinator conditions. The studies analyzed span global biomes, with data on pollinator species richness, visitation rates, and pollinator traits. This dataset supports a meta-analysis of pollination effects on fruit crops fruit quality, which employs random-effects models to assess moderating variables including experimental scale, biome, pollinator guilds, managed vs wild pollinators and field vs greenhouse fruit environment.
DOI: 10.5281/zenodo.14314702
title: Photovoltaic capacity deployment in Switzerland: An econometric analysis using an Instrumental Variable approach

description: This dataset was created as a part of the course "Spatial methods for economists using Python" of the University of Bern for the Fall Semester 2024. The dataset contains raw geospatial data on installed PV capacity and solar irradiation in Switzerland. Additionally, data on socio-economic and infrastructure data influencing PV adoption is included, such as median income, electricity prices and the total building PV potential, which combines roof and façade usable areas.

The raw data originates from multiple sources, including administrative geospatial data for municipal boundaries and national statistics from official Swiss government bodies.
DOI: 10.5281/zenodo.14314703
title: Photovoltaic capacity deployment in Switzerland: An econometric analysis using an Instrumental Variable approach

description: This dataset was created as a part of the course "Spatial methods for economists using Python" of the University of Bern for the Fall Semester 2024. The dataset contains raw geospatial data on installed PV capacity and solar irradiation in Switzerland. Additionally, data on socio-economic and infrastructure data influencing PV adoption is included, such as median income, electricity prices and the total building PV potential, which combines roof and façade usable areas.

The raw data originates from multiple sources, including administrative geospatial data for municipal boundaries and national statistics from official Swiss government bodies.
DOI: 10.5281/zenodo.14544961
title: Simulating online conversations - short checks

description: Short checks obtained using the social simulator proposed in "Simulating online conversations using ABMs and LLMs". The dataset includes each message in each cascade along with the features reported in the paper.
DOI: 10.5281/zenodo.14544962
title: Simulating online conversations - short checks

description: Short checks obtained using the social simulator proposed in "Simulating online conversations using ABMs and LLMs". The dataset includes each message in each cascade along with the features reported in the paper.
DOI: 10.15468/dl.u6d3jv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saracha ferruginea (Sodiro & Damm.)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046141-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kt3gz
title: CCDC 2377621: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3h0
title: CCDC 2377622: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3j1
title: CCDC 2377623: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3k2
title: CCDC 2377624: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3l3
title: CCDC 2377625: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3m4
title: CCDC 2377626: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3n5
title: CCDC 2377627: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3p6
title: CCDC 2377628: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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.cc2kt3q7
title: CCDC 2377629: Experimental Crystal Structure Determination

description: Related Article: Junguang Yu, Rodger F. Henry, Geoff G.Z. Zhang|2024|J.Pharm.Sci.|114|592|doi:10.1016/j.xphs.2024.10.046
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: 10.15468/dl.z4wm8m
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Begonia cucullata Willd."
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046142-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14544967
title: CellSeg3D: additional data & model weights

description: CellSeg3D additional benchmark data

Results files

Found in the `RESULTS_DATA` folder, the results of the benchmarking of the CellSeg3D pipeline on the test data are provided. The results are meant to be directly used by the ["Showing quantitative and qualitative benchmarking performance on additional datasets"](https://c-achard.github.io/cellseg3d-figures/Figure3/self-supervised-extra.html)

Simply point the notebook towards the `RESULTS_DATA` folder to use the results.

 

data_path = Path("path/to/RESULTS_DATA")

Additional model weights from re-training cellpose and StarDist models on the training data

Found in the `TRAINING` folder, the weights of the models used in the paper are provided. The training scripts are also provided for transparency.

Additional data for the CellSeg3D paper by Achard et al. Note : since Cellpose pre-trained performance was consistently higher than a retrained version, results were reported using the pre-trained model. See https://elifesciences.org/reviewed-preprints/99848v1 for more information.

Structure

RESULTS_DATA# do not move files, simply set the notebook path to use this folder

TRAINING # all training scripts and model weights

│

└───cellpose

│ │ cellpose_MoSk

│ │ | └───results # contains the weights of the model

│ │ | └───MouseSkull.py # script to train the model

│ │ cellpose_PlISH

│ │ | └───results # contains the weights of the model

│ │ | └───PlISH_CP.py # script to train the model

│ │ cellpose_PlNuc

│ │ | └───results # contains the weights of the model

│ │ | └───PlNuc_cellpose.py # script to train the model

└───stardist

│ MouseSKull

│ | └───models # contains the weights of the model

│ | └───MouseSkull_SD.py # script to train the model

│ PlISH

│ | └───models # contains the weights of the model

│ | └───PlatyISH_SD.py # script to train the model

│ PlNuc

│ | └───models # contains the weights of the model

│ | └───PlatyNuc_SD.py # script to train the model
DOI: 10.5281/zenodo.14544968
title: CellSeg3D: additional data & model weights

description: CellSeg3D additional benchmark data

Results files

Found in the `RESULTS_DATA` folder, the results of the benchmarking of the CellSeg3D pipeline on the test data are provided. The results are meant to be directly used by the ["Showing quantitative and qualitative benchmarking performance on additional datasets"](https://c-achard.github.io/cellseg3d-figures/Figure3/self-supervised-extra.html)

Simply point the notebook towards the `RESULTS_DATA` folder to use the results.

 

data_path = Path("path/to/RESULTS_DATA")

Additional model weights from re-training cellpose and StarDist models on the training data

Found in the `TRAINING` folder, the weights of the models used in the paper are provided. The training scripts are also provided for transparency.

Additional data for the CellSeg3D paper by Achard et al. Note : since Cellpose pre-trained performance was consistently higher than a retrained version, results were reported using the pre-trained model. See https://elifesciences.org/reviewed-preprints/99848v1 for more information.

Structure

RESULTS_DATA# do not move files, simply set the notebook path to use this folder

TRAINING # all training scripts and model weights

│

└───cellpose

│ │ cellpose_MoSk

│ │ | └───results # contains the weights of the model

│ │ | └───MouseSkull.py # script to train the model

│ │ cellpose_PlISH

│ │ | └───results # contains the weights of the model

│ │ | └───PlISH_CP.py # script to train the model

│ │ cellpose_PlNuc

│ │ | └───results # contains the weights of the model

│ │ | └───PlNuc_cellpose.py # script to train the model

└───stardist

│ MouseSKull

│ | └───models # contains the weights of the model

│ | └───MouseSkull_SD.py # script to train the model

│ PlISH

│ | └───models # contains the weights of the model

│ | └───PlatyISH_SD.py # script to train the model

│ PlNuc

│ | └───models # contains the weights of the model

│ | └───PlatyNuc_SD.py # script to train the model
DOI: 10.15468/dl.j4zk8y
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "DatasetKey is RBINS Mollusc collection"
 ]
}

 The dataset includes 493 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046144-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26302/sshade/bandlist_abs_ch3cn_beta-ch3cn
title: Absorption band list of CH3CN in solid CH3CN (phase beta or II)

description: FIR-MIR absorption band list of $CH_3CN$ in solid $CH_3CN$ (phase beta or II) at 35, 95 and 225 K
DOI: 10.5517/ccdc.csd.cc2jsw9j
title: CCDC 2347608: Experimental Crystal Structure Determination

description: Related Article: Maria Burlakova, Daria Blinnikova, Gleb Volkonovskiy, Haoyang Chai, Dimitry Grebenyuk, Dmitry Tsymbarenko|2024|Dalton Trans.|53|18183|doi:10.1039/D4DT01114G
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.cc2jswbk
title: CCDC 2347609: Experimental Crystal Structure Determination

description: Related Article: Maria Burlakova, Daria Blinnikova, Gleb Volkonovskiy, Haoyang Chai, Dimitry Grebenyuk, Dmitry Tsymbarenko|2024|Dalton Trans.|53|18183|doi:10.1039/D4DT01114G
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.cc2jswcl
title: CCDC 2347610: Experimental Crystal Structure Determination

description: Related Article: Maria Burlakova, Daria Blinnikova, Gleb Volkonovskiy, Haoyang Chai, Dimitry Grebenyuk, Dmitry Tsymbarenko|2024|Dalton Trans.|53|18183|doi:10.1039/D4DT01114G
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.cc2jswdm
title: CCDC 2347611: Experimental Crystal Structure Determination

description: Related Article: Maria Burlakova, Daria Blinnikova, Gleb Volkonovskiy, Haoyang Chai, Dimitry Grebenyuk, Dmitry Tsymbarenko|2024|Dalton Trans.|53|18183|doi:10.1039/D4DT01114G
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.