cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gdpp8
title: CCDC 2276320: Experimental Crystal Structure Determination

description: Related Article: Stuart Burnett, Rochelle Ferns, David B. Cordes, Alexandra M. Z. Slawin, Tanja van Mourik, Andreas Stasch|2023|Inorg.Chem.|62|16443|doi:10.1021/acs.inorgchem.3c02132
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.cc2gdpq9
title: CCDC 2276321: Experimental Crystal Structure Determination

description: Related Article: Stuart Burnett, Rochelle Ferns, David B. Cordes, Alexandra M. Z. Slawin, Tanja van Mourik, Andreas Stasch|2023|Inorg.Chem.|62|16443|doi:10.1021/acs.inorgchem.3c02132
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: 10.5281/zenodo.7728274
title: Readout of quantum devices with a sideband microwave interferometer immune to systematic noise

description: supporting data from paper 'Readout of quantum devices with a sideband microwave interferometer immune to systematic noise' by N. Crescini, E.G. Kelly, G. Salis and A. Fuhrer
DOI: 10.5281/zenodo.7728273
title: Readout of quantum devices with a sideband microwave interferometer immune to systematic noise

description: supporting data from paper 'Readout of quantum devices with a sideband microwave interferometer immune to systematic noise' by N. Crescini, E.G. Kelly, G. Salis and A. Fuhrer
DOI: 10.5281/zenodo.10037843
title: PAHTEI - PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS

description: PAHTEI - PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS
DOI: 10.5281/zenodo.10037842
title: PAHTEI - PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS

description: PAHTEI - PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS
DOI: 10.13012/b2idb-2234820_v1
title: Data for Mantella baroni Habitat Preference and Abundance

description: This dataset provides microhabitat and environmental variables collected in the habitat of the poison frog Mantella baroni from 155 1-meter square quadrats in Vohimana Reserve along forest valleys, on slopes, and on ridgelines. We also provide data from photographic capture-recapture surveys used for estimating abundance.
DOI: 10.6084/m9.figshare.24428665
title: <b>Supplementary table</b>s

description: <b>Supplementary table 1.</b> General information on the 239 dietary intake GWAS datasets.<br><b>Supplementary table 2</b>. Sensitivity analyses associated with the assessment of the causal benefits of 19 dietary intakes on DMGA and the results of FDR correction.<br><b>Supplementary table 3.</b> Sensitivity analyses associated with the assessment of the causal benefits of 6 dietary intakes on IEAA and the results of FDR correction.<br>
DOI: 10.6084/m9.figshare.24428665.v2
title: <b>Supplementary table</b>s

description: <b>Supplementary table 1.</b> General information on the 239 dietary intake GWAS datasets.<br><b>Supplementary table 2</b>. Sensitivity analyses associated with the assessment of the causal benefits of 19 dietary intakes on DMGA and the results of FDR correction.<br><b>Supplementary table 3.</b> Sensitivity analyses associated with the assessment of the causal benefits of 6 dietary intakes on IEAA and the results of FDR correction.<br>
DOI: 10.6084/m9.figshare.24428665.v1
title: <b>Supplementary table</b>s

description: <b>Supplementary table 1.</b> General information on the 239 dietary intake GWAS datasets.<br><b>Supplementary table 2</b>. Sensitivity analyses associated with the assessment of the causal benefits of 19 dietary intakes on DMGA and the results of FDR correction.<br><b>Supplementary table 3.</b> Sensitivity analyses associated with the assessment of the causal benefits of 6 dietary intakes on IEAA and the results of FDR correction.<br>
DOI: 10.6084/m9.figshare.22439200
title: data files with raw data in Camponotus

description: Metadata of the study of the influence of the Behavioral and morphological traits influencing variation in task performance of Camponotus vagus ants
DOI: 10.6084/m9.figshare.22439200.v1
title: data files with raw data in Camponotus

description: Metadata of the study of the influence of the Behavioral and morphological traits influencing variation in task performance of Camponotus vagus ants
DOI: 10.6084/m9.figshare.24428698
title: Integrated Fibrosis Atlas

description: Harmony integrated single-cell Dataset containing all cells from 4 different murine fibrotic disease models. The dataset is largely public available but also contains unpublished (cardiac) samples https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137720https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE104154https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138826https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-9816https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-7895<br><br>
DOI: 10.6084/m9.figshare.24428698.v1
title: Integrated Fibrosis Atlas

description: Harmony integrated single-cell Dataset containing all cells from 4 different murine fibrotic disease models. The dataset is largely public available but also contains unpublished (cardiac) samples https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137720https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE104154https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138826https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-9816https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-7895<br><br>
DOI: 10.25345/c56t0h66f
title: MassIVE MSV000093181 - YTHDF2 controls muscle size through regulation of targeted proteostasis
title: Proteomics data from Muscle overload surgery in ctrl and Ythdf2-KO mice
DOI: 10.25345/c5348gs6v
title: MassIVE MSV000093182 - Clonostachys_Citizen_Science_UnitedStates
title: Clonostachys rosea isolates from across the United States
DOI: 10.5281/zenodo.10036704
title: Dataset for how to make a delicious SALAD

description: This is the dataset on how to make a delicious salad to eat at ICSE 2024
DOI: 10.5281/zenodo.10036703
title: Dataset for how to make a delicious SALAD

description: This is the dataset on how to make a delicious salad to eat at ICSE 2024
DOI: 10.5281/zenodo.10037661
title: Syngas Conversion over Co4 Cluster Grafted on HZSM-5 Zeolite: Mechanistic Insights from DFT Modeling
DOI: 10.5281/zenodo.10037660
title: Syngas Conversion over Co4 Cluster Grafted on HZSM-5 Zeolite: Mechanistic Insights from DFT Modeling
DOI: 10.6084/m9.figshare.24422122.v1
title: news-media-bias.data.json

description: The prevalence of bias in the news media has become a critical issue, affecting public perception on a range of important topics such as political views, health, insurance, resource distributions, religion, race, age, gender, occupation, and climate change. The media has a moral responsibility to ensure accurate information dissemination and to increase awareness about important issues and the potential risks associated with them. This highlights the need for a solution that can help mitigate against the spread of false or misleading information and restore public trust in the media.<b>Data description</b>This is a dataset for news media bias covering different dimensions of the biases: <i>political, hate speech, political, toxicity, sexism, ageism, gender identity, gender discrimination, race/ethnicity, climate change, occupation, spirituality, </i>which makes it a unique contribution.The dataset used for this project <b>does not contain any personally identifiable information (PII)</b>.<b>Data Format:</b>- ID: Numeric unique identifier.- Text: Main content.- Dimension: Categorical descriptor of the text.- Biased_Words: List of words considered biased.- Aspect: Specific topic within the text.- Label: Bias True/False value- Aggregate Label: Calculated through multiple weighted formulae<br><b>Annotation Scheme:</b>1. Bias Label: Indicate the presence/absence of bias (e.g., no bias, mild, strong).2. Words/Phrases Level Biases: Identify specific biased words/phrases.3. Subjective Bias (Aspect): Capture biases related to content aspects.<br><b>Annotation Process:</b>Manual Labeling --&gt; LLM based labelling --&gt;Semi-Supervised Learning --&gt; Human Verifications (iterative process)<br>The scheme employs a mix of manual labeling, GPT-based labeling, human verification, and semi-supervised learning for refined and accurate annotation.We want to offer open and free access to dataset, ensuring a wide reach to researchers and AI practitioners across the world. The dataset should be user-friendly to use and uploading and accessing data should be straightforward, to facilitate usage.<br>
DOI: 10.5281/zenodo.6401266
title: Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data

description: Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data
Authors: Marcel Kok, Johan Meijer, Willem-Jan van Zeist, Jelle Hilbers, Marco Immovilli, Jan Janse, Elke Stehfest, Michel Bakkenes, Andrzej Tabeau, Aafke Schipper, Rob Alkemade
Point of contact: Marcel.Kok@pbl.nl
Research paper summary: Global biodiversity is projected to further decline under a wide range of future socio-economic development pathways, even in sustainability-oriented scenarios. This raises the question how biodiversity can be put on a path to recovery, the core challenge for the implementation of the CBD Kunming-Montreal Global Biodiversity Framework. We designed two ambitious global conservation strategies, 'Half Earth' (HE) and 'Sharing the Planet' (SP), and evaluated their ability to restore terrestrial and freshwater biodiversity and to provide nature's contributions to people (NCP), while also limiting global warming below 2 degrees and ensuring food security. We applied the integrated assessment framework IMAGE with the GLOBIO biodiversity model, using the 'Middle of the Road' Shared Socio-economic Pathway (SSP2) with its projected human population growth as baseline. We found that the HE strategy performs generally better for terrestrial biodiversity (biodiversity intactness (MSA), Area of Habitat, Living Planet Index, Red List Index) in currently still natural regions. The SP strategy yields more improvements for biodiversity in human-used areas, for freshwater biodiversity and for regulating NCP (pest control, pollination, erosion control, water quality). However, both strategies were insufficient to restore biodiversity and corresponded with considerable increases in food security risks and global temperature. Only when we combined the conservation strategies with a portfolio of 'integrated sustainability measures', including climate change mitigation and reductions of food waste and animal product consumption, our scenarios resulted in a restoration of biodiversity and NCP while keeping global warming below two degrees and food security risks below the baseline projection.
Contents: This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers".
Keywords: Nature conservation, Half Earth, Sharing the Planet, Climate Change, Food Security, Solution-oriented scenarios, Biodiversity, Nature's Contribution to People, NCP
DOI: 10.5281/zenodo.6401265
title: Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data

description: Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data
Authors: Marcel Kok, Johan Meijer, Willem-Jan van Zeist, Jelle Hilbers, Marco Immovilli, Jan Janse, Elke Stehfest, Michel Bakkenes, Andrzej Tabeau, Aafke Schipper, Rob Alkemade
Point of contact: Marcel.Kok@pbl.nl
Research paper summary: Global biodiversity is projected to further decline under a wide range of future socio-economic development pathways, even in sustainability-oriented scenarios. This raises the question how biodiversity can be put on a path to recovery, the core challenge for the implementation of the CBD Kunming-Montreal Global Biodiversity Framework. We designed two ambitious global conservation strategies, 'Half Earth' (HE) and 'Sharing the Planet' (SP), and evaluated their ability to restore terrestrial and freshwater biodiversity and to provide nature's contributions to people (NCP), while also limiting global warming below 2 degrees and ensuring food security. We applied the integrated assessment framework IMAGE with the GLOBIO biodiversity model, using the 'Middle of the Road' Shared Socio-economic Pathway (SSP2) with its projected human population growth as baseline. We found that the HE strategy performs generally better for terrestrial biodiversity (biodiversity intactness (MSA), Area of Habitat, Living Planet Index, Red List Index) in currently still natural regions. The SP strategy yields more improvements for biodiversity in human-used areas, for freshwater biodiversity and for regulating NCP (pest control, pollination, erosion control, water quality). However, both strategies were insufficient to restore biodiversity and corresponded with considerable increases in food security risks and global temperature. Only when we combined the conservation strategies with a portfolio of 'integrated sustainability measures', including climate change mitigation and reductions of food waste and animal product consumption, our scenarios resulted in a restoration of biodiversity and NCP while keeping global warming below two degrees and food security risks below the baseline projection.
Contents: This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers".
Keywords: Nature conservation, Half Earth, Sharing the Planet, Climate Change, Food Security, Solution-oriented scenarios, Biodiversity, Nature's Contribution to People, NCP
DOI: 10.6073/pasta/4bdaebb00ee6a392ffcde7be2a5f1414
title: Tree Ring Data from the Harvard Forest EMS Tower 1896-2014

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted annually. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 20m radius plots set within the footprint of the EMS tower plot at the Harvard Forest installed and continuously operated since 1989. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. Dye et al. (2016) have shown that these data fall within the range of uncertainty of census data sampled in the Harvard Forest Lyford plot going back to 1969. Dye, A., Barker Plotkin, A., Bishop, D., Pederson, N., Poulter, B., Hessl, A. 2016. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests. Ecosphere 7: e01454.
DOI: 10.5281/zenodo.10037910
title: Benchmark files for thesis 'Extending the Framework JavaSMT with the SMT Solver Bitwuzla and Evaluation using CPAchecker'
DOI: 10.5281/zenodo.10037909
title: Benchmark files for thesis 'Extending the Framework JavaSMT with the SMT Solver Bitwuzla and Evaluation using CPAchecker'
DOI: 10.6073/pasta/459adb98e111352d9b26749a105e4b0f
title: Tree Ring Data from Goose Egg State Forest NY 1681-2014

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from three 30m radius plots set in Goose Egg State Forest in New York State. We chose this location because it has old oak dominated forests that can be compared to the long-term forests being studied for carbon dynamics at the Harvard Forest. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time to understand forest recovery and carbon dynamics in a heavily disturbance forest. Recruitment dates for some of the trees from these plots have been published in Pederson et al. (2017). Pederson, N., Young, A. B., Stan, A. B., Ariya, U., Martin-Benito, D. 2017. Low-Hanging DendroDynamic Fruits Regarding Disturbance in Temperate, Mesic Forests. In: Amoroso, M. M., Daniels, L. D., Baker, P. J., Camarero, J. J., Dendroecology: Tree-Ring Analyses Applied to Ecological Studies, Springer, Cham., Switzerland.
DOI: 10.6073/pasta/c4a3d4d2fc4d593aa1f32dc554b85c6c
title: Tree Ring Data from North Round Pond in Pisgah State Forest NH 1754-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from four 30m radius plots set in the vicinity of North Round Pond in Pisgah State Forest, New Hampshire. Two plots are set in broadleaf-dominated forests while two are set in oak-mixed conifer dominated forests. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. While a strong hurricane in September 1938 knocked down 80% of a stand ca 3.5 km SSE of these stands and the stands in the vicinity of the North Round Pond are set on N- and NW-facing slopes, and thus potentially shielded by the strong tropical winds, they, too, were disturbed by the hurricane of 1938. However, there are some very old trees and patches of trees in this landscape, while, at the same time, we suspect some logging impacted parts of some of these plots in the 1960s, like in North Round Pond Plot 1. The forest stands have since regrown and the plots we installed can be used to understand forest recovery and carbon dynamics in a heavily disturbance forest. Recruitment dates for some of the trees from these plots have been published in Pederson et al. (2017). Pederson, N., Young, A. B., Stan, A. B., Ariya, U., Martin-Benito, D. 2017. Low-Hanging DendroDynamic Fruits Regarding Disturbance in Temperate, Mesic Forests. In: Amoroso, M. M., Daniels, L. D., Baker, P. J., Camarero, J. J., Dendroecology: Tree-Ring Analyses Applied to Ecological Studies, Springer, Cham., Switzerland.
DOI: 10.6073/pasta/4b21a20079981aaf520ae5ced6579a05
title: Tree Ring Data from Rooster Hill in Adirondack State Park NY 1828-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 30m radius plots set Rooster Hill in New York State. We chose this location because it has oak dominated mixed forests that can be compared to the long-term forests being studied for carbon dynamics at the Harvard Forest. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time to understand forest recovery and carbon dynamics in a heavily disturbance forest.