cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21518629.v1
title: Additional file 3 of RNA-Sequencing of Heterorhabditis nematodes to identify factors involved in symbiosis with Photorhabdus bacteria

description: Additional file 3: Supplementary information S3A. KAAS and KEGG based pathway enrichment analysis for all the transcripts in H. bacteriophora. Supplementary information S3 B. KAAS and KEGG based pathway enrichment analysis for the differentially expressed transcripts in symbiotic H. bacteriophora nematodes as compared to axenic nematodes. Supplementary information S3 C. KAAS and KEGG based pathway enrichment analysis for the transcripts unique to symbiotic H. bacteriophora nematodes.
DOI: 10.6084/m9.figshare.21518632.v1
title: Additional file 4 of RNA-Sequencing of Heterorhabditis nematodes to identify factors involved in symbiosis with Photorhabdus bacteria

description: Additional file 4: Supplementary information S4. Putative symbiosis relevant genes of H. bacteriophora identified on the basis of annotations.
DOI: 10.6084/m9.figshare.21518632
title: Additional file 4 of RNA-Sequencing of Heterorhabditis nematodes to identify factors involved in symbiosis with Photorhabdus bacteria

description: Additional file 4: Supplementary information S4. Putative symbiosis relevant genes of H. bacteriophora identified on the basis of annotations.
DOI: 10.6084/m9.figshare.21518626.v1
title: Additional file 2 of RNA-Sequencing of Heterorhabditis nematodes to identify factors involved in symbiosis with Photorhabdus bacteria

description: Additional file 2: Supplementary information 2A. A list of all the H. bacteriophora transcripts identified in the experiment. Supplementary information 2B. A list of the differentially expressed transcripts in symbiotic H. bacteriophora nematodes as compared to axenic H. bacteriophora nematodes. Supplementary information 2C. The transcripts unique to symbiotic H. bacteriophora nematodes. Supplementary information 2D. The transcripts unique to axenic H. bacteriophora nematodes.
DOI: 10.5517/ccdc.csd.cc27crft
title: CCDC 2066876: Experimental Crystal Structure Determination

description: Related Article: Vladislav M. Korshunov, Timofey N. Chmovzh, Alexandra Ya Freidzon, Mikhail E. Minyaev, Artem D. Barkanov, Ivan S. Golovanov, Lyudmila V. Mikhalchenko, Igor C. Avetisov, Ilya V. Taydakov, Oleg A. Rakitin|2022|Dyes Pigm.|208|110860|doi:10.1016/j.dyepig.2022.110860
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.cc27crgv
title: CCDC 2066877: Experimental Crystal Structure Determination

description: Related Article: Vladislav M. Korshunov, Timofey N. Chmovzh, Alexandra Ya Freidzon, Mikhail E. Minyaev, Artem D. Barkanov, Ivan S. Golovanov, Lyudmila V. Mikhalchenko, Igor C. Avetisov, Ilya V. Taydakov, Oleg A. Rakitin|2022|Dyes Pigm.|208|110860|doi:10.1016/j.dyepig.2022.110860
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.cc28t0lq
title: CCDC 2109413: Experimental Crystal Structure Determination

description: Related Article: Valentina Pelliccioli, Thierry Hartung, Martin Simon, Christopher Golz, Emanuela Licandro, Silvia Cauteruccio, Manuel Alcarazo|2022|Angew.Chem.,Int.Ed.|61|e202114577|doi:10.1002/anie.202114577
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.cc28tt1z
title: CCDC 2110171: Experimental Crystal Structure Determination

description: Related Article: Zahir Ali Siddiqui, Sushil Lambud, Anil Bhadke, Ravi Kumar, Neetu Prajesh, Nagaiyan Sekar, Sandeep More|2023|Chem.Phys.|565|111735|doi:10.1016/j.chemphys.2022.111735
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.cc28vfdz
title: CCDC 2110771: Experimental Crystal Structure Determination

description: Related Article: Qianqian Xu, Jifan Jia, Yuqing Wu, Bo Hu, Jiaqi Xin, Yi Liu, Wei Gao, Dan Li|2022|J.Org.Chem.|87|14496|doi:10.1021/acs.joc.2c01910
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.cc28y2x7
title: CCDC 2113329: Experimental Crystal Structure Determination

description: Related Article: Valentina Pelliccioli, Thierry Hartung, Martin Simon, Christopher Golz, Emanuela Licandro, Silvia Cauteruccio, Manuel Alcarazo|2022|Angew.Chem.,Int.Ed.|61|e202114577|doi:10.1002/anie.202114577
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.21518595
title: Data and code from: High variation in handling times confers 35-year stability to predator feeding rates despite community change

description: Historical resurveys of ecological communities are important for placing the structure of modern ecosystems in context. Rarely, however, are snapshot surveys alone sufficient for providing direct insight into the rates of ecological processes that underlie how communities function, either now or in the past. In this study, I used a statistically-reasoned observational approach to estimate the feeding rates of a New Zealand intertidal predator, <em>Haustrum haustorium</em>, using diet surveys performed at several sites by Robert Paine in 1968--9 and by me in 2004. Comparisons between time periods reveal a remarkable consistency in the predator's prey-specific feeding rates, which contrasts with the changes I observed in prey abundances, the predator's body-size distribution, and the prey's proportional contributions to the predator's apparent diet. Although these and further changes in the predator's per capita attack rates seem to show adaptive changes in its prey preferences, they do not. Rather, feeding-rate stability is an inherently statistical consequence of the predator's high among-prey variation in handling times which determine the length of time that feeding events remain detectable to observers performing diet surveys. Though understudied, similarly high among-prey variation in handling (or digestion) times is evident in many predator species throughout the animal kingdom. The resultant disconnect between a predator's apparent diet and its actual feeding rates suggests that much of the temporal, biogeographic, and seemingly context-dependent variation that is often perceived in community structure, predator diets, and food-web topology may be of less functional consequence than assumed.Qualitative changes in ecological pattern need not represent qualitative changes in ecological process.
DOI: 10.6084/m9.figshare.21518595.v1
title: Data and code from: High variation in handling times confers 35-year stability to predator feeding rates despite community change

description: Historical resurveys of ecological communities are important for placing the structure of modern ecosystems in context. Rarely, however, are snapshot surveys alone sufficient for providing direct insight into the rates of ecological processes that underlie how communities function, either now or in the past. In this study, I used a statistically-reasoned observational approach to estimate the feeding rates of a New Zealand intertidal predator, <em>Haustrum haustorium</em>, using diet surveys performed at several sites by Robert Paine in 1968--9 and by me in 2004. Comparisons between time periods reveal a remarkable consistency in the predator's prey-specific feeding rates, which contrasts with the changes I observed in prey abundances, the predator's body-size distribution, and the prey's proportional contributions to the predator's apparent diet. Although these and further changes in the predator's per capita attack rates seem to show adaptive changes in its prey preferences, they do not. Rather, feeding-rate stability is an inherently statistical consequence of the predator's high among-prey variation in handling times which determine the length of time that feeding events remain detectable to observers performing diet surveys. Though understudied, similarly high among-prey variation in handling (or digestion) times is evident in many predator species throughout the animal kingdom. The resultant disconnect between a predator's apparent diet and its actual feeding rates suggests that much of the temporal, biogeographic, and seemingly context-dependent variation that is often perceived in community structure, predator diets, and food-web topology may be of less functional consequence than assumed.Qualitative changes in ecological pattern need not represent qualitative changes in ecological process.
DOI: 10.6084/m9.figshare.21518598
title: Arginine Methylation of PPP1CA by CARM1 Regulates Glucose Metabolism and Suppresses Osteoporosis

description: An imbalance between bone formation by osteoblasts and bone resorption by osteoclasts can lead to osteoporosis. Osteoblasts and osteoclasts have different energy requirements, with aerobic glycolysis being the prominent metabolic feature of osteoblasts, while osteoclast differentiation and fusion are driven by oxidative phosphorylation. Herein, we discovered that coactivator-associated arginine methyltransferase 1 (CARM1) reprogrammed glucose metabolism in osteoblasts and osteoclasts from oxidative phosphorylation to aerobic glycolysis, thereby promoting osteogenic differentiation and inhibiting osteolytic differentiation. Gain-of-function experiments revealed that CARM1 significantly decreased bone loss resulting from ovariectomy in osteoporosis model mice.
DOI: 10.6084/m9.figshare.21518598.v1
title: Arginine Methylation of PPP1CA by CARM1 Regulates Glucose Metabolism and Suppresses Osteoporosis

description: An imbalance between bone formation by osteoblasts and bone resorption by osteoclasts can lead to osteoporosis. Osteoblasts and osteoclasts have different energy requirements, with aerobic glycolysis being the prominent metabolic feature of osteoblasts, while osteoclast differentiation and fusion are driven by oxidative phosphorylation. Herein, we discovered that coactivator-associated arginine methyltransferase 1 (CARM1) reprogrammed glucose metabolism in osteoblasts and osteoclasts from oxidative phosphorylation to aerobic glycolysis, thereby promoting osteogenic differentiation and inhibiting osteolytic differentiation. Gain-of-function experiments revealed that CARM1 significantly decreased bone loss resulting from ovariectomy in osteoporosis model mice.
DOI: 10.5281/zenodo.4296944
title: FCCdb: Food Contact Chemicals database. Version 5.0

description: The Food Contact Chemicals database (FCCdb) is a compilation of information on intentionally added food contact chemicals, extracted from publicly available sources such as legislation on food contact materials and industry inventories for different types of food contact materials. Where available, information from a few selected sources on hazardous properties and commercial use has been included as well. Further details on the information sources used are given in the READ ME worksheet of the excel file. The FCCdb intends to provide an overview of the diversity of food contact chemicals and their hazardous properties. Further details on the compilation and analysis of this dataseta can be found in the manuscript "Overview of intentionally used food contact chemicals and their hazards," by Ksenia J. Groh, Birgit Geueke, Olwenn Martin, Maricel Maffini, and Jane Muncke, published in <em>Environmental International </em>on November 30, 2020 (DOI 10.1016/j.envint.2020.106225).
description: While all efforts were made to ensure completeness and correctness, all information provided in the FCCdb is without liability, and the original data sources should be consulted for complete information.
DOI: 10.5281/zenodo.4625496
title: S77 | FCCDB | Food Contact Chemicals Database v5.0

description: This is the collection associated with list S77 FCCDB Food Contact Chemicals Database v5.0 on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ The Food Contact Chemicals database (FCCdb, DOI: 10.5281/zenodo.4296944) is a compilation of information on intentionally added food contact chemicals, extracted from publicly available sources such as legislation on food contact materials and industry inventories for different types of food contact materials. Where available, information from a few selected sources on hazardous properties and commercial use has been included as well. Further details on the information sources used are given in the READ ME worksheet of the excel file. The FCCdb intends to provide an overview of the diversity of food contact chemicals and their hazardous properties. Further details on the compilation and analysis of this dataseta can be found in the manuscript "Overview of intentionally used food contact chemicals and their hazards," by Ksenia J. Groh, Birgit Geueke, Olwenn Martin, Maricel Maffini, and Jane Muncke, published in <em>Environmental International </em>on November 30, 2020 (DOI: 10.1016/j.envint.2020.106225). Structural information has been added to this dataset (downloaded from DOI: 10.5281/zenodo.4296944) upon request of the authors by Parviel Chirsir (during an internship at LCSB, supervised by Emma Schymanski) using CompTox and PubChem resources, before being uploaded to the NORMAN-SLE. Details are provided in the READ ME worksheet. Please check the licensing on the original dataset for full re-use conditions (DOI: 10.5281/zenodo.4296944)
description: Please cite the original works Groh et al (2020) DOI: 10.1016/j.envint.2020.106225 and DOI: 10.5281/zenodo.4296944 plus this set when using these files!
DOI: 10.5281/zenodo.4660126
title: S77 | FCCDB | Food Contact Chemicals Database v5.0

description: This is the collection associated with list S77 FCCDB Food Contact Chemicals Database v5.0 on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ The Food Contact Chemicals database (FCCdb, DOI: 10.5281/zenodo.4296944) is a compilation of information on intentionally added food contact chemicals, extracted from publicly available sources such as legislation on food contact materials and industry inventories for different types of food contact materials. Where available, information from a few selected sources on hazardous properties and commercial use has been included as well. Further details on the information sources used are given in the READ ME worksheet of the excel file. The FCCdb intends to provide an overview of the diversity of food contact chemicals and their hazardous properties. Further details on the compilation and analysis of this dataseta can be found in the manuscript "Overview of intentionally used food contact chemicals and their hazards," by Ksenia J. Groh, Birgit Geueke, Olwenn Martin, Maricel Maffini, and Jane Muncke, published in <em>Environmental International </em>on November 30, 2020 (DOI: 10.1016/j.envint.2020.106225). Structural information has been added to this dataset (downloaded from DOI: 10.5281/zenodo.4296944) upon request of the authors by Parviel Chirsir (during an internship at LCSB, supervised by Emma Schymanski) using CompTox and PubChem resources, before being uploaded to the NORMAN-SLE. Details are provided in the READ ME worksheet. Please check the licensing on the original dataset for full re-use conditions (DOI: 10.5281/zenodo.4296944)
description: Please cite the original works Groh et al (2020) DOI: 10.1016/j.envint.2020.106225 and DOI: 10.5281/zenodo.4296944 plus this set when using these files!
DOI: 10.5281/zenodo.7304977
title: S77 | FCCDB | Food Contact Chemicals Database v5.0

description: This is the collection associated with list S77 FCCDB Food Contact Chemicals Database v5.0 on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ The Food Contact Chemicals database (FCCdb, DOI: 10.5281/zenodo.4296944) is a compilation of information on intentionally added food contact chemicals, extracted from publicly available sources such as legislation on food contact materials and industry inventories for different types of food contact materials. Where available, information from a few selected sources on hazardous properties and commercial use has been included as well. Further details on the information sources used are given in the READ ME worksheet of the excel file. The FCCdb intends to provide an overview of the diversity of food contact chemicals and their hazardous properties. Further details on the compilation and analysis of this dataseta can be found in the manuscript "Overview of intentionally used food contact chemicals and their hazards," by Ksenia J. Groh, Birgit Geueke, Olwenn Martin, Maricel Maffini, and Jane Muncke, published in <em>Environmental International </em>on November 30, 2020 (DOI: 10.1016/j.envint.2020.106225). Structural information has been added to this dataset (downloaded from DOI: 10.5281/zenodo.4296944) upon request of the authors by Parviel Chirsir (during an internship at LCSB, supervised by Emma Schymanski) using CompTox and PubChem resources, before being uploaded to the NORMAN-SLE. Details are provided in the READ ME worksheet. See changelog file for a record of changes. Please check the licensing on the original dataset for full re-use conditions (DOI: 10.5281/zenodo.4296944)
description: Please cite the original works Groh et al (2020) DOI: 10.1016/j.envint.2020.106225 and DOI: 10.5281/zenodo.4296944 plus this set when using these files!
DOI: 10.5281/zenodo.7268082
title: Segmentation Labels for Emergency Response Imagery from Hurricane Barry, Delta, Dorian, Florence, Isaias, Laura, Michael, Sally, Zeta, and Tropical Storm Gordon

description: The zip file here contains 1,179 pairs of human-generated segmentation labels and images from Emergency Response Imagery collected by US National Oceanic and Atmospheric Administration (NOAA) after Hurricane Barry, Delta, Dorian, Florence, Ida, Laura, Michael, Sally, Zeta, and Tropical Storm Gordon. A total of 1,054 unique images were labeled. 946 images were annotated by a single labeler. 95 images were annotated by two labelers. 11 images were annotated by three labelers. 2 images were annotated by five labelers. All authors contributed to labeling, and all labeling was done with an open-source labeling tool (Buscombe et al., 2022). All pixels in each image are labeled with one of four classes: 0 (water), 1 (bare sand), 2 (vegetation - both sparse and dense), 4 (the built environment - buildings, roads, parking lots, boats, etc.) The csv file provided here is a list of each image file name (which includes the anonymized labeler ID), the name of the image without the labeler ID, the name of the corresponding NOAA jpg, the NOAA flight name, the storm name, the latitude and longitude of the image, and a column stating if the image has been labeled multiple times. Images labeled here correspond to multiple NOAA flights — all listed in the csv file for each jpeg image. These jpeg images can be downloaded directly from NOAA (https://storms.ngs.noaa.gov/) or using Moretz et al. (2020a, 2020b). The images included in this data release correspond to original NOAA images that have been resized and then split into quadrants (using ImageMagick). The naming convention corresponds to the image quarter — the *-0.jpg is upper left, *-1.jpg is upper right, *-2.jpg is lower left, and *-3.jpg is the lower right. <br> The resize command used was: <br> #to resize and then quarter<br> #Dir structure is:<br> # --Desktop<br> # |- originals<br> # |- resized<br> # |- quarters `cd originals`<br> `mogrify -resize 2000x2000 -path ../resized *.jpg` #then quarter them<br> `cd ..`<br> `cd resized` `mogrify -crop 2x2@ +repage -path ../quarters *.jpg` For full size images, please download the jpegs directly from NOAA.
DOI: 10.17178/snouf.2022
title: SNOUF: Snow Under Forest. Snow, forest and meteorological measurements at Col de Porte
title: SNow Under Forest
title: SNOUF
title: Neige sous forêt

description: Forests strongly modify the accumulation, metamorphism and melting of snow in mid and high-latitude regions. Recently, snow routines in hydrological and land surface models have been improved to incorporate more accurate representations of forest snow processes but model inter-comparison projects have pointed deficiencies, partly due incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016-17 and 2017-18, have been conducted in a conifer forest bordering the site study of Col de Porte (1325 m asl, French Alps) in order to document the snow accumulation and ablation processes. This paper presents the field site, instrumentation, and collection methods. The observations include: forest characteristics (tree inventory, LIDAR measurements of forest structure, sub-canopy hemispherical photographs…), meteorology (automatic weather station and radiometers array), snow cover and depth (snow poles transect and laser scan), and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and provides continuous measurements throughout the year since 2018.
description: The data are sorted in different repertories: forest measurements, hemispherical photographs, laser scan measurements, airborne lidar measurements, meteorological and radiation measurements, and snow measurements. See the readme file for more details.