cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7418639
title: Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches

description: Raw experimental data associated with the manuscript "Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches", by Sosa-Carrillo and colleagues, bioRxiv, 10.1101/2022.11.02.514931.<br> The code to analyze this raw data and generate the figures for the manuscript is available on GitLab at https://gitlab.inria.fr/InBio/Public/yeastcybersecretion.
DOI: 10.5281/zenodo.7418638
title: Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches

description: Raw experimental data associated with the manuscript "Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches", by Sosa-Carrillo and colleagues, bioRxiv, 10.1101/2022.11.02.514931.<br> The code to analyze this raw data and generate the figures for the manuscript is available on GitLab at https://gitlab.inria.fr/InBio/Public/yeastcybersecretion.
DOI: 10.26186/147586
title: Severe Wind Hazard Assessment for South East Queensland - tropical cyclone impact scenarios

description: The region of coastal South East Queensland (SEQ) represents a large concentration of population, business activity and infrastructure important to the economy of Queensland and Australia. The region is also subject to severe storms that can generate damaging winds, particularly as a result of thunderstorm and tropical cyclone activity. Older residential homes have historically been the most damaged in such storms, contributing disproportionately to community risk, and recent storm damage in Western Australia has indicated that there are issues with modern SEQ homes also. This risk posed by severe wind is not well understood, nor are the optimal strategies for managing and potentially reducing this risk. Previous work has provided insights into the potential impacts of rare storm events in the SEQ region and the vulnerability of residential homes that contribute to them. The Severe Wind Hazard Assessment for Queensland (SWHAQ) project (Arthur, et al., 2021) provided valuable insights on the potential impacts of rare tropical cyclones making landfall in the region. The SWHA-Q project included two storms impacting the Gold Coast that highlighted that credible cyclone events in South East Queensland generating no more than design level wind gusts can have challenging consequences. Five tropical cyclone scenario events were selected by the project partners and modelled to provide a demonstration of the residential housing damage outcomes that could result from plausible storms that could impact South East Queensland. Four storms generated category 3 winds (gusts over 165 km/h) on landfall and were essentially design level events for ordinary residential structures. The fifth (Scenario 3) generated category 4 winds (gusts over 225 km/h) at landfall but was still quite a credible storm for the region. The events highlighted, as did the previous SWHA-Q work, that rare cyclone events of this kind affect all parts of the study region and produce very significant consequences. One design level event (Scenario 2) was found to inflict moderate or greater damage to 39% of the homes in the region, representing a major need for temporary accommodation. One of the events was used as the evidence-based scenario that underpinned Exercise Averruncus – A SEQ Tropical Cyclone Impact held in Brisbane on 15 June 2022 that explored critical issues around preparation for, response to, and initial recovery from the event. It is noted that the scale of impacts from any scenario is contingent on the characteristics of the TC itself (size, intensity, landfall location) and on the landscape in which buildings are located. However, while each scenario is unique, the suite of scenario impacts provide a useful resource for EM planning by local government, emergency services and other agencies with a role in disaster recovery.
DOI: 10.6084/m9.figshare.21720389.v1
title: Sex and timing of gonadectomy relative to puberty interact to influence weight, body composition, and feeding behaviors in mice

description: Supplementary statistics file related to Klappenbach et al. 2022.
DOI: 10.5519/qd.57u5omy5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3912 records)
DOI: 10.5281/zenodo.7430172
title: pionites_melanocephalus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7430171
title: pionites_melanocephalus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.6584385
title: Nicholls et al 2022 Emulator Changes

description: Repository reproducing plots and processing used in Nicholls et al 2022 (https://doi.org/10.1029/2022GL099788).<br> <br> For questions and comments, please contact Zebedee Nicholls (zebedee.nicholls@climate-energy-college.org). For full details, please see https://gitlab.com/magicc/nicholls-et-al-2022-emulator-changes.
description: {"references": ["Nicholls et al., GRL 2022 (https://doi.org/10.1029/2022GL099788)"]}
DOI: 10.5281/zenodo.7091136
title: Nicholls et al 2022 Emulator Changes

description: Repository reproducing plots and processing used in Nicholls et al 2022 (under review).<br><br>For questions and comments, please contact Zebedee Nicholls (zebedee.nicholls@climate-energy-college.org). For full details, please see https://gitlab.com/magicc/nicholls-et-al-2022-emulator-changes.
description: {"references": ["Nicholls et al. (under review)"]}
DOI: 10.5281/zenodo.7095569
title: Nicholls et al 2022 Emulator Changes

description: Repository reproducing plots and processing used in Nicholls et al 2022 (under review).<br> <br> For questions and comments, please contact Zebedee Nicholls (zebedee.nicholls@climate-energy-college.org). For full details, please see https://gitlab.com/magicc/nicholls-et-al-2022-emulator-changes.
description: {"references": ["Nicholls et al. (under review)"]}
DOI: 10.5281/zenodo.7434865
title: Nicholls et al 2022 Emulator Changes

description: Repository reproducing plots and processing used in Nicholls et al 2022 (https://doi.org/10.1029/2022GL099788).<br> <br> For questions and comments, please contact Zebedee Nicholls (zebedee.nicholls@climate-energy-college.org). For full details, please see https://gitlab.com/magicc/nicholls-et-al-2022-emulator-changes.
description: {"references": ["Nicholls et al., GRL 2022 (https://doi.org/10.1029/2022GL099788)"]}
DOI: 10.5281/zenodo.7434898
title: psittacula_derbiana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7434897
title: psittacula_derbiana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7434869
title: Data for accurate cell type deconvolution in spatial transcriptomics using a batch effect-free strategy

description: Simulated and experimental data used in the ReSort manuscript. It is necessary and sufficient to reproduce the results in the paper.
DOI: 10.25921/e0v1-5610
title: EM710 Water Column Sonar Data Collected During NF1909
DOI: 10.6073/pasta/febbdcf7f4b2c300091543b0fff50013
title: PBG01 Plant species composition in the Patch Burning-grazing Experiment at Konza Prairie

description: ‘PBG’ datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1(1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis.
DOI: 10.48366/r275000
title: X-ray observations from cosmic objects 2: planets

description: In this comparison a set of publications are presented from the field of X-ray Astronomy, in particular for solar system planets and satellites. This field has seen an increased interest since the launch of space observatories like Chandra X-ray Observatory and XMM - Newton. This is the second comparison of a set that will cover: comets, planets, the sun, the stars and warm-hot intergalactic medium. This set is also a direct evolution from published comparisons about the complementary topic of laboratory X-ray measurements in Highly Charged Ions (HCIs).
DOI: 10.6073/pasta/a0c06bbd758cff8cf1641afdb667a62f
title: PBG03 Disk pasture meter measurements to estimate plant standing biomass in the Patch-Burn Grazing experiment at Konza Prairie

description: "PBG" datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This dataset includes both the annual calibration data for the disk pasture meter measurements (PBG031) and the actual disk pasture meter measurements in the PBG experiment (PBG032). Measurements were taken at a total of 64 transects (8 watersheds x 4 sites per watershed x 2 pasture meter transects per site). Each cattle-grazed watershed (designated as of May 2011 C3A, C3B, C3C, and C1A) and the four Shane cattle-grazed watersheds (C1B, C3SA, C3SB, and C3SC) includes 4 plant composition sampling transects (A-D). Pasture meter measurements were taken along two transects adjacent and parallel to the plant composition transects in each of these watersheds. Standing biomass samples for pasture meter calibration were also collected near the plant composition transects in the same 8 watersheds.
DOI: 10.6073/pasta/6623c7fa1a513c4ae5ebf2438eb7f0e3
title: PBG08 Grasshopper density survey in the Patch-Burn Grazing experiment at Konza Prairie

description: PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on measuring grasshopper density using ring count method (Onsager 1977*) at watersheds C03A, C03B, C03C, C01A, C3SA, C3SB, C3SC, and C01B. Grazing intensity is estimated (Joern 2005) at each site at time of density measurements to model how grasshopper populations respond to grazing.
DOI: 10.6084/m9.figshare.20415831
title: Table S1

description: Supplemental Table 1 for the manuscript.
DOI: 10.6084/m9.figshare.20415831.v1
title: Table S1

description: Supplemental Table 1 for the manuscript.
DOI: 10.6084/m9.figshare.20415831.v2
title: Table S1

description: Supplemental Table 1 for the manuscript.
DOI: 10.6084/m9.figshare.21720500
title: Conjunto de datos sobre visibilidad y disminución de violencia psicológica en el trabajo, San Martín, Perú, 2022

description: Contiene información sociolaboral y de frecuencias absolutas en una escala de VPT-salud de 1 a 4 puntos de un grupo de 29 personas del sector salud peruanos (San Martín) en tres etapas de evaluación (preprueba; posprueba-1; posprueba-2),año 2022.
DOI: 10.15482/usda.adc/1528346
title: SNAPMe: A Benchmark Dataset of Food Photos with Food Records for Evaluation of Computer Vision Algorithms in the Context of Dietary Assessment

description: Photo-based dietary assessment methods are becoming more feasible as artificial intelligence methods improve. However, advancement of these methods to the level usable in nutrition studies has been hindered by the lack of a dataset against which to benchmark algorithm performance. We conducted the Surveying Nutrient Assessment with Photographs of Meals (SNAPMe) Study (ClinicalTrials ID: NCT05008653 ) to develop a benchmark dataset of food photographs paired with traditional food records. Participants were recruited nationally and completed enrollment meetings via web-based video conferencing. By the end of the study, 90 participants had completed all three days of data collection; 95 participants completed at least one study day. Participants uploaded and annotated their meal photos using a mobile phone app called Bitesnap and completed food records using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24®) on the same day. A sizing marker with black and white boxes of known size were included in meal photos. Participants included photos “before” and “after” eating non-packaged and multi-serving packaged meals, as well as photos of the “front” package label and “ingredient” label for single-serving packaged foods. In total, the SNAPMe Database (DB) contains 3,311 unique food photos linked with 275 ASA24 food records from 95 participants who photographed all foods consumed and recorded food records in parallel for up to 3 study days each for a total of 275 diet days. The SNAPMe DB includes 1,475 “before” photos of non-packaged foods, 1,436 “after” photos of non-packaged foods, 203 “front” photos of packaged foods, and 196 “ingredient” labels of packaged foods. Each line item of each ASA24 food record is linked to the relevant photo. These data will be transformative for the improvement of artificial intelligence algorithms for the adoption of photo-based dietary assessment in nutrition research.
DOI: 10.5517/ccdc.csd.cc2dc2kf
title: CCDC 2215184: Experimental Crystal Structure Determination

description: Related Article: Zhe Wang, Zhanning Liu, Changsong Xie, Rongming Wang, Daofeng Sun|2022|Dalton Trans.|51|18378|doi:10.1039/D2DT03462J
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.cc2dchv4
title: CCDC 2215596: Experimental Crystal Structure Determination

description: Related Article: Yeruva Pavankumar Reddy, Shaik Anwar|2022|RSC Advances|12|34634|doi:10.1039/D2RA06076K
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.cc2dd364
title: CCDC 2216165: Experimental Crystal Structure Determination

description: Related Article: Mengtan Liu, Adam H. Slavney, Songsheng Tao, Ryan D. McGillicuddy, Cassia C. Lee, Malia B. Wenny, Simon J. L. Billinge, Jarad A. Mason|2022|J.Am.Chem.Soc.|144|22262|doi:10.1021/jacs.2c10449
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.cc2dd375
title: CCDC 2216166: Experimental Crystal Structure Determination

description: Related Article: Mengtan Liu, Adam H. Slavney, Songsheng Tao, Ryan D. McGillicuddy, Cassia C. Lee, Malia B. Wenny, Simon J. L. Billinge, Jarad A. Mason|2022|J.Am.Chem.Soc.|144|22262|doi:10.1021/jacs.2c10449
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.cc28034k
title: CCDC 2085467: Experimental Crystal Structure Determination

description: Related Article: Ruslan P. Shekurov, Almaz A. Zagidullin, Mikhail N. Khrizanforov, Daut R. Islamov, Tatiana P. Gerasimova, Farida F. Akhmatkhanova, Vasily A. Miluykov|2022|Dalton Trans.|51|18603|doi:10.1039/D2DT02930H
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.cc29byj4
title: CCDC 2125686: Experimental Crystal Structure Determination

description: Related Article: Qiao Gao, Zhe Lin, Tao Zhang, Lin Xu|2023|J.Mol.Struct.|1275|134692|doi:10.1016/j.molstruc.2022.134692
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.cc2bj423
title: CCDC 2160454: Experimental Crystal Structure Determination

description: Related Article: Dong Shao, Prem Prakash Sahu, Wan-Jie Tang, Yang-Lu Zhang, Yue Zhou, Fang-Xue Xu, Xiao-Qin Wei, Zhengfang Tian, Saurabh Kumar Singh, Xin-Yi Wang|2022|Dalton Trans.|51|18610|doi:10.1039/D2DT03046B
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.cc2bj434
title: CCDC 2160455: Experimental Crystal Structure Determination

description: Related Article: Dong Shao, Prem Prakash Sahu, Wan-Jie Tang, Yang-Lu Zhang, Yue Zhou, Fang-Xue Xu, Xiao-Qin Wei, Zhengfang Tian, Saurabh Kumar Singh, Xin-Yi Wang|2022|Dalton Trans.|51|18610|doi:10.1039/D2DT03046B
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.cc2c06by
title: CCDC 2174939: Experimental Crystal Structure Determination

description: Related Article: Fabian Dankert, Priyanka Gupta, Tim Wellnitz, Wolfgang Baumann, Christian Hering-Junghans|2022|Dalton Trans.|51|18642|doi:10.1039/D2DT03703C
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.cc2c06j4
title: CCDC 2174945: Experimental Crystal Structure Determination

description: Related Article: Fabian Dankert, Priyanka Gupta, Tim Wellnitz, Wolfgang Baumann, Christian Hering-Junghans|2022|Dalton Trans.|51|18642|doi:10.1039/D2DT03703C
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.cc2c06cz
title: CCDC 2174940: Experimental Crystal Structure Determination

description: Related Article: Fabian Dankert, Priyanka Gupta, Tim Wellnitz, Wolfgang Baumann, Christian Hering-Junghans|2022|Dalton Trans.|51|18642|doi:10.1039/D2DT03703C
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.