cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10581857
title: Single Cell CPTAC RCC

description: These data include a subset of single-cell samples from the CPTAC Renal Cell Carcinoma data processed using the following steps:



Loom files were read into R and converted into SingleCellExperiment objects.

Ensembl gene ID's were matched to HGNC symbols, chromosome name, starting position, and ending position via Biomart using the scater R package.

Size factors were computed using the scran R package.

UMAP dimensions were computed using the scater R package.

Probes without matching HGNC symbols were removed.

Where duplicate HGNC symbols were present, the gene with the maximum normalized range was retained.

Cell types were inferred using the scMRMA R package.

Cells with less than or equal to 1,000 features were removed.

Cells with mitochondrial reads greater than or equal to 50% were removed.

Expression data for podocytes and macrophages were saved separately for each sample.

For podocytes and macrophages for each sample, expression data were projected onto the first 100 principal components using the irlba R package. The results are available from CPTAC_RCC_PCA.zip.

For macrophages for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the M0 markers CSF1R, CD14, CD68, and CD11B, the M1 markers CD86, MARC0, CXCL9, CXCL10, CXCL11, NOS2, SOCS1, and CD64, and the M2 markers TGM2, CD23, ARG1, CCL22, CD163, and CD206 (from PMC8268869). Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory from M0 -> M1 -> M2 was evident using these markers were retained.

For podocytes for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the dedifferentiation markers DACH1 (from PMC5908116) and PTPRO (from PMID9639039. Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory of dedifferentiation was evident using these markers were retained. These pseudotime assignments and the macrophage assignments are available from CPTAC_RCC_pseudotime_all_cells.zip.

For podocytes and macrophages for each sample, 10-fold cross-validation matrices for expression, PCA, and pseudotime were generated across 5 random splits, for a total of 50 files per cell type, per sample. These files are available from CPTAC_RCC_expression_all_cells.zip.

Expression data were subset to include 63 randomly-selected podocytes and 63 randomly-selected macrophages to ensure balanced data. These expression data are available from CPTAC_RCC_expression.zip. Pseudotimes were also subset and are available in CPTAC_RCC_pseudotime.zip.

Expression data were projected onto the first 100 principal components. These data are available from CPTAC_RCC_expression_dimReduced.zip.
DOI: 10.5281/zenodo.10581858
title: Single Cell CPTAC RCC

description: These data include a subset of single-cell samples from the CPTAC Renal Cell Carcinoma data processed using the following steps:



Loom files were read into R and converted into SingleCellExperiment objects.

Ensembl gene ID's were matched to HGNC symbols, chromosome name, starting position, and ending position via Biomart using the scater R package.

Size factors were computed using the scran R package.

UMAP dimensions were computed using the scater R package.

Probes without matching HGNC symbols were removed.

Where duplicate HGNC symbols were present, the gene with the maximum normalized range was retained.

Cell types were inferred using the scMRMA R package.

Cells with less than or equal to 1,000 features were removed.

Cells with mitochondrial reads greater than or equal to 50% were removed.

Expression data for podocytes and macrophages were saved separately for each sample.

For podocytes and macrophages for each sample, expression data were projected onto the first 100 principal components using the irlba R package. The results are available from CPTAC_RCC_PCA.zip.

For macrophages for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the M0 markers CSF1R, CD14, CD68, and CD11B, the M1 markers CD86, MARC0, CXCL9, CXCL10, CXCL11, NOS2, SOCS1, and CD64, and the M2 markers TGM2, CD23, ARG1, CCL22, CD163, and CD206 (from PMC8268869). Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory from M0 -> M1 -> M2 was evident using these markers were retained.

For podocytes for each sample, a differentiation trajectory was estimated using the monocle3 R package, and plots were colored by combined expression of the dedifferentiation markers DACH1 (from PMC5908116) and PTPRO (from PMID9639039. Pseudotime starting points were annotated in monocle3 using visual inspection of plots. Only samples in which a visible trajectory of dedifferentiation was evident using these markers were retained. These pseudotime assignments and the macrophage assignments are available from CPTAC_RCC_pseudotime_all_cells.zip.

For podocytes and macrophages for each sample, 10-fold cross-validation matrices for expression, PCA, and pseudotime were generated across 5 random splits, for a total of 50 files per cell type, per sample. These files are available from CPTAC_RCC_expression_all_cells.zip.

Expression data were subset to include 63 randomly-selected podocytes and 63 randomly-selected macrophages to ensure balanced data. These expression data are available from CPTAC_RCC_expression.zip. Pseudotimes were also subset and are available in CPTAC_RCC_pseudotime.zip.

Expression data were projected onto the first 100 principal components. These data are available from CPTAC_RCC_expression_dimReduced.zip.
DOI: 10.5281/zenodo.10637394
title: Data and results for Sosiak et al. "Prolonged faunal turnover in earliest ants revealed by North American Cretaceous amber"

description: Morphometric, fossil occurance, phylogenetic, and CT-scan data for Sosiak et al. publication "Prolonged faunal turnover in earliest ants revealed by North American Cretaceous amber"
DOI: 10.5281/zenodo.10637395
title: Data and results for Sosiak et al. "Prolonged faunal turnover in earliest ants revealed by North American Cretaceous amber"

description: Morphometric, fossil occurance, phylogenetic, and CT-scan data for Sosiak et al. publication "Prolonged faunal turnover in earliest ants revealed by North American Cretaceous amber"
DOI: 10.5255/ukda-sn-857057
title: Plastic Recycling in Households, 2023

description: This dataset consists of 34 transcripts of semi-structured qualitative in-depth interviews with households in areas of 4 countries with high/low consumer recycling rates (England, Scotland, Spain, Germany). The aim was to explore how they engaged with the use and disposal of plastic packaging. We looked specifically at social practices within different households as this is a neglected but important site for managing waste. We explored social practices, perceptions, emotions, knowledge, and understandings of plastics packaging (recycling, repurposing, retaining, reusing, refusing). The interviews shed light on the value of plastics recycling which is understood widely but in practice the lived experience of plastics recycling is complex and frequently requires negotiating relationships. Ideas about classification systems and sorting differ considerably for cultural reasons; inter- generational perspectives on the value of plastics are also apparent and better understanding of these issues will help us shed light on the complex social context of circular economies.
DOI: 10.5281/zenodo.10808491
title: LCDM_nonflat_3x2pt_GCsp
DOI: 10.5281/zenodo.10821438
title: LCDM_nonflat_3x2pt_GCsp
DOI: 10.5281/zenodo.10827182
title: LCDM_nonflat_3x2pt_GCsp
DOI: 10.5281/zenodo.10843707
title: LCDM_nonflat_3x2pt_GCsp
DOI: 10.5281/zenodo.10808490
title: LCDM_nonflat_3x2pt_GCsp

description: Final upload, run is finished
DOI: 10.5281/zenodo.10854283
title: LCDM_nonflat_3x2pt_GCsp

description: Final upload, run is finished
DOI: 10.5281/zenodo.10854264
title: Wind and SOLAR RES predicted  production data for Crete and Peloponnese - ONENET WP8

description: WP8 aimed at the development and implementation of a web based app that enhances Active Power Management necessary for coordination of a TSOs and DSOs, using AI methods and cloud calculation engines that was tested in Peloponnese and Crete regions. Full description of the scope and results of WP8 Greek demo can be found in the relative deliverable D8.2: Development and implementation of the “F-Channel” platform (https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D8.2_V1.0.pdf). For purpose of this project similar, historical weather data in 1 hour resolution have been used in order to obtain behavior patterns of climatic parameters (daily, monthly, season) throughout region of interest. For this purpose various ERA5 climatic datasets has been used and AI algorithms applied in combination with terrain orography data. Modeled results was compared with operational data from TSO/DSO and appropriate model calibration has been provided based on deep learning AI algorithms.

The data for Wind power plant modelled production is given in file <wind_res_onenet_wp8.csv> in the following columns <time> ; <aa> ; <pw> ; <ws> ; <wp_name> . Columns are related to: Hourly time, wind park code, power [MWh], wind speed [m/s] and wind park name, respectively.

The data for Solar power plant modelled production is given in file <solar_onenet_wp8.csv> in the following columns <time> ; <name> ; <pw> ; <ta> ; <ghi> . Columns are related to: Hourly time, solar park name, power in MWh, ambient temperature and Global Horizontal irradiance [W/m2], respectively.
DOI: 10.5281/zenodo.10854265
title: Wind and SOLAR RES modelled  production data for Crete and Peloponnese - ONENET WP8

description: WP8 aimed at the development and implementation of a web based app that enhances Active Power Management necessary for coordination of a TSOs and DSOs, using AI methods and cloud calculation engines that was tested in Peloponnese and Crete regions. Full description of the scope and results of WP8 Greek demo can be found in the relative deliverable D8.2: Development and implementation of the “F-Channel” platform (https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D8.2_V1.0.pdf). For purpose of this project similar, historical weather data in 1 hour resolution have been used in order to obtain behavior patterns of climatic parameters (daily, monthly, season) throughout region of interest. For this purpose various ERA5 climatic datasets has been used and AI algorithms applied in combination with terrain orography data. Modeled results was compared with operational data from TSO/DSO and appropriate model calibration has been provided based on deep learning AI algorithms.

The data for Wind power plant modelled production is given in file <wind_res_onenet_wp8.csv> in the following columns <time> ; <aa> ; <pw> ; <ws> ; <wp_name> . Columns are related to: Hourly time, wind park code, power [MWh], wind speed [m/s] and wind park name, respectively.

The data for Solar power plant modelled production is given in file <solar_onenet_wp8.csv> in the following columns <time> ; <name> ; <pw> ; <ta> ; <ghi> . Columns are related to: Hourly time, solar park name, power in MWh, ambient temperature and Global Horizontal irradiance [W/m2], respectively.
DOI: 10.5281/zenodo.10854300
title: Wind and SOLAR RES predicted  production data for Crete and Peloponnese - ONENET WP8

description: WP8 aimed at the development and implementation of a web based app that enhances Active Power Management necessary for coordination of a TSOs and DSOs, using AI methods and cloud calculation engines that was tested in Peloponnese and Crete regions. Full description of the scope and results of WP8 Greek demo can be found in the relative deliverable D8.2: Development and implementation of the “F-Channel” platform (https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D8.2_V1.0.pdf). For purpose of this project similar, historical weather data in 1 hour resolution have been used in order to obtain behavior patterns of climatic parameters (daily, monthly, season) throughout region of interest. For this purpose various ERA5 climatic datasets has been used and AI algorithms applied in combination with terrain orography data. Modeled results was compared with operational data from TSO/DSO and appropriate model calibration has been provided based on deep learning AI algorithms.

The data for Wind power plant modelled production is given in file <wind_res_onenet_wp8.csv> in the following columns <time> ; <aa> ; <pw> ; <ws> ; <wp_name> . Columns are related to: Hourly time, wind park code, power [MWh], wind speed [m/s] and wind park name, respectively.

The data for Solar power plant modelled production is given in file <solar_onenet_wp8.csv> in the following columns <time> ; <name> ; <pw> ; <ta> ; <ghi> . Columns are related to: Hourly time, solar park name, power in MWh, ambient temperature and Global Horizontal irradiance [W/m2], respectively.
DOI: 10.5255/ukda-sn-856278
title: Is Hiding My First Name Enough? Using Behavioural Interventions To Mitigate Racial and Gender Discrimination in the Rental Housing Market, 2021-2022

description: This dataset contains the data used in the study titled “Is hiding my first name enough? Using behavioural interventions to mitigate racial and gender discrimination in the rental housing market”. The data was collected from the London rental housing market between 2021 and 2022. Racial and gender biases are pervasive in housing markets. Males and ethnic minorities face discrimination in rental housing markets globally. The issue has been so pronounced that it regularly makes national and international headlines. In response to a racial discrimination lawsuit, Airbnb had to hide guests’ first names from rental hosts in Oregon, USA, starting in January 2022. Yet, there is little evidence that such measurement effectively counteracts racial and gender discrimination in housing markets. 

Despite some well-established theoretical models developed more than half a century ago and a wealth of empirical evidence accumulated over the last two decades, studies examining effective solutions to combat discrimination remain sparse especially in housing markets. Given the complexity of the products and services involved and the relatively low frequency of transactions, nuanced studies are needed to understand how implicit racial and gender biases influence letting decisions. 

This study investigates housing discrimination at the intersection where longstanding market behaviours meet the evolving insights of behavioural research. Although behavioural interventions have the potential to address both statistical and taste-based discrimination in the housing market, their successful implementation remains a challenge. Given the persistent biases and socio-economic dynamics in the housing market, interventions must be carefully tailored to the context. 

By collecting evidence from field experiments, this research aims to gain insights into how real-world behavioural interventions can be effectively designed and implemented. Our focus remains twofold: to develop a robust theoretical framework and to translate its insights into tangible, impactful policy recommendations, with the ultimate goal of fostering a more inclusive housing market.
DOI: 10.5255/ukda-sn-856277
title: Social Capital and the Effectiveness of Land Use Policies: Evidence from Rural China, 2016

description: The dataset underpins a study on "Social Capital and the Effectiveness of Land Use Policies: Evidence from Rural China," drawing from the 17 Provinces Rural Land Survey by Renmin University of China. This research navigates the intricacies of land use policy effectiveness in rural China, underpinned by the significant reforms initiated by the 1986 Constitution allowing transactions of land use rights. These reforms enabled local governments to lease land use rights to the private sector, significantly contributing to fiscal revenues and fostering economic development and urban expansion at an impressive rate. However, this rapid transformation introduced several challenges, including legal, social, and environmental issues centered around land use policies.

The study delves into the consequences of these reforms, such as the technical efficiency impacts on livestock grazing in Tibet versus the degradation of ecosystem services in Inner Mongolia, and the negative effects of full-scale land relocation practices on organic fertilizer usage. The complexity of redeveloping brownfields in rural areas and the crucial role of rural land tenure in investment, productivity, and participation in the land rental market are also highlighted. The effectiveness of land use policies has thus become a focal point for scholarly investigation, particularly regarding the impact on rural residents, who are critical stakeholders in the reform process.

Central to this exploration is the concept of social capital, defined as the network of relationships among people who live and work in a particular society, enabling society to function effectively. Social capital, encompassing elements such as trust, social networks, and norms, plays a pivotal role in encouraging environmental restoration and climate change adaptation efforts. This has been observed not only in China but globally, suggesting a move towards behavioral land use policies that leverage social capital for cost-effective and sustainable outcomes. These policies aim to influence behaviors through intrinsic motivations rather than through monetary incentives or legal mandates, which often entail significant public expenditure and administrative costs.

The data seeks to advance the discourse on land use policy by proposing a comprehensive analytical framework that includes various forms of social capital and measures policy outcomes both in the short and long term. Employing an innovative empirical strategy, the study addresses endogeneity issues and aims to provide a nuanced understanding of the relationship between social capital and land use policy outcomes. The findings suggest that social capital has a contextually dependent effect on policy effectiveness, varying across different policy objectives and stages of policy evaluation. This research underscores the importance of incorporating multiple dimensions of social capital into policy analysis and design, offering insights that could guide sustainable urbanization and rural development efforts.
DOI: 10.5517/ccdc.csd.cc20ryb2
title: CCDC 1870054: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow,  Brooke N. Livesay,  Charles C. Mokhtarzadeh,  John McCracken,  Matthew P. Shores,  James M. Boncella,  Aaron L. Odom|2018|J.Am.Chem.Soc.|140|17369|doi:10.1021/jacs.8b10888
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.cc21qjy8
title: CCDC 1898500: Experimental Crystal Structure Determination

description: Related Article: Shinya Takaishi, Hideaki Murasugi, Shohei Kumagai, Hiroaki Iguchi, Masahiro Yamashita|2019|Chem.-Eur.J.|25|9885|doi:10.1002/chem.201901288
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.cc2h9nr7
title: CCDC 2303199: Experimental Crystal Structure Determination

description: Related Article: Chaowat Kaenpracha, Praewpan Katrun, Kittipong Chainok, Chattarika Sukpattanacharoen, Nawee Kungwan, Jaursup Boonmak|2024|CrystEngComm|26|1438|doi:10.1039/D3CE01283B
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.cc2h9ns8
title: CCDC 2303200: Experimental Crystal Structure Determination

description: Related Article: Chaowat Kaenpracha, Praewpan Katrun, Kittipong Chainok, Chattarika Sukpattanacharoen, Nawee Kungwan, Jaursup Boonmak|2024|CrystEngComm|26|1438|doi:10.1039/D3CE01283B
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.cc2h9nt9
title: CCDC 2303201: Experimental Crystal Structure Determination

description: Related Article: Chaowat Kaenpracha, Praewpan Katrun, Kittipong Chainok, Chattarika Sukpattanacharoen, Nawee Kungwan, Jaursup Boonmak|2024|CrystEngComm|26|1438|doi:10.1039/D3CE01283B
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.cc2hgn0n
title: CCDC 2307981: Experimental Crystal Structure Determination

description: Related Article: azhar alowasheeir|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.