cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10103037
title: Land use and land cover samples for specific regions of interest in the Brazilian Cerrado agricultural belt

description: Land use and land cover samples for specific regions of interest in the Brazilian Cerrado agricultural belt in 2019/2020. Total of samples: 957. The process to collect them is described in Chaves, M., & Sanches, I. (2023). Improving crop mapping in Brazil's Cerrado from a data cubes-derived Sentinel-2 temporal analysis. Remote Sensing Applications: Society and Environment, 32, 101014. https://www.sciencedirect.com/science/article/pii/S2352938523000964 and Chaves, M., Soares, A., Mataveli, G., Sánchez, A., & Sanches, I. (2023). A semi-automated workflow for LULC mapping via Sentinel-2 data cubes and spectral indices. Automation, 4(1), 94-109. https://www.mdpi.com/2673-4052/4/1/7.
DOI: 10.5255/ukda-sn-855787
title: Delivering Net Zero: The Role of Research, 2021

description: In June 2019, the UK Government amended its Climate Change Act to become the first major economy in the world to make a legally binding commitment to Net Zero (NZ) emissions by 2050. To meet this target of net zero requires large-scale and extensive innovation across the UK energy system. This will require change within all sectors and industries, fast paced technological advancement and substantive social engagement alongside changes in practices and behaviour. Given the scale of change and investment required it is therefore vital that decisions are taken based on the best available scientific evidence. The aim of this project was to ensure that the research funded by the UKRI Energy and Decarbonisation Programme had the maximum opportunity to inform and guide the response of UK decision makers to climate change. By the end of the project, a shared vision had been developed that outlined a narrative for net zero in the short term (the next 10 years) and the long term (the following 10 years) by leading UK academics and others. It also identified those areas in which consensus could not be achieved, clarifying where further research, wider engagement, or political interventions to prioritise key ethical principles or contested values, might serve to help such conflict. The data collections consists of data collected from a series of workshops with participants with expertise across the climate and energy field. The workshops were organised to explore the extent of consensus around a shared narrative for how NZ can be achieved. We also explored with participants the potential role of research in delivering this narrative. Following a brief overview of our methods, this paper distils 12 ‘conditions’ for delivering NZ which synthesise key messages for multiple stakeholder groups including the public, private and third sector, and the research community.
DOI: 10.5519/qd.9ad103l1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15196 records)
DOI: 10.5519/qd.g19u8e3h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.7910/dvn/suoirq
title: Replication Data for: "A difusão das comissões de heteroidentificação nas universidades públicas - instituições e mudança organizacional"

description: Data from the article "Issue-area and pluralization in Brazilian foreign policy: an exploratory study of decision-making processes in the Fernando Henrique Cardoso government", by Adriana S. R. Dantas and Ana Maria F. Almeida, published in Revista DADOS, v. 67, n. 4 de 2024.
DOI: 10.6084/m9.figshare.24541393
title: Raw data of the study "<b>Emotional Regulation and Suicidal Ideation – Mediating Roles of Perceived Social Support and Avoidant coping</b>".

description: Our objectives were to find if perceived social support and avoidant coping could mediate the relation between the effects of cognitive reappraisal and expressive suppression on suicidal ideation and also to determine whether suicidal ideation would differ across different types of family units. Our study revealed how trusting and acknowledging social support and avoidant coping could affect the association between regulation strategies and suicidal ideation.
DOI: 10.6084/m9.figshare.24541393.v2
title: Raw data of the study "<b>Emotional Regulation and Suicidal Ideation – Mediating Roles of Perceived Social Support and Avoidant coping</b>".

description: Our objectives were to find if perceived social support and avoidant coping could mediate the relation between the effects of cognitive reappraisal and expressive suppression on suicidal ideation and also to determine whether suicidal ideation would differ across different types of family units. Our study revealed how trusting and acknowledging social support and avoidant coping could affect the association between regulation strategies and suicidal ideation.
DOI: 10.6084/m9.figshare.24541393.v1
title: Raw data of the study "<b>Emotional Regulation and Suicidal Ideation – Mediating Roles of Perceived Social Support and Avoidant coping</b>".

description: Our objectives were to find if perceived social support and avoidant coping could mediate the relation between the effects of cognitive reappraisal and expressive suppression on suicidal ideation and also to determine whether suicidal ideation would differ across different types of family units. Our study revealed how trusting and acknowledging social support and avoidant coping could affect the association between regulation strategies and suicidal ideation.
DOI: 10.5519/qd.lz19t5mx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.5519/qd.cmz5y284
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.5281/zenodo.10102321
title: Analysis of the Structure and Conduct of Watermelon Marketing in Ibarapa Central Local Government Area of Oyo State

description: This study was carried out to analyze the structure and conduct of watermelon marketing in Ibarapa Central Local Government Area of Oyo State. Specific objectives of the study include to describe the socio-economic characteristics of watermelon marketers, examine the marketing margin and marketing efficiency of marketers in the study area. Multi-stage sampling technique was employed to select 95 marketers. Primary data were collected using a set of well-structured questionnaire. Data were analyzed using descriptive statistics, Gini coefficient model and marketing efficiency index. The result of the study shows that 57.9% of the marketers were male, 41.1% were married, Gini Coefficient result of 0.56 indicated a moderate concentration of watermelon marketers. Market Efficiency Index of 2.43 revealed a high level of efficiency in the market.  Inadequate shed and price fluctuation were among the major constraints identified in the study area.  It was therefore recommended that Local Government Authority in the area should as a matter of urgency construct sets of buildings to serve as store or shop which will be made available at affordable prices to the marketers.
DOI: 10.5281/zenodo.10102322
title: Analysis of the Structure and Conduct of Watermelon Marketing in Ibarapa Central Local Government Area of Oyo State

description: This study was carried out to analyze the structure and conduct of watermelon marketing in Ibarapa Central Local Government Area of Oyo State. Specific objectives of the study include to describe the socio-economic characteristics of watermelon marketers, examine the marketing margin and marketing efficiency of marketers in the study area. Multi-stage sampling technique was employed to select 95 marketers. Primary data were collected using a set of well-structured questionnaire. Data were analyzed using descriptive statistics, Gini coefficient model and marketing efficiency index. The result of the study shows that 57.9% of the marketers were male, 41.1% were married, Gini Coefficient result of 0.56 indicated a moderate concentration of watermelon marketers. Market Efficiency Index of 2.43 revealed a high level of efficiency in the market.  Inadequate shed and price fluctuation were among the major constraints identified in the study area.  It was therefore recommended that Local Government Authority in the area should as a matter of urgency construct sets of buildings to serve as store or shop which will be made available at affordable prices to the marketers.
DOI: 10.5281/zenodo.8336411
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: DNA methylation data PDXO
DOI: 10.5281/zenodo.8336412
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: DNA methylation data PDXO
DOI: 10.5281/zenodo.8325522
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: DNA methylation data 1
DOI: 10.5281/zenodo.8325521
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: DNA methylation data 1
DOI: 10.6084/m9.figshare.24543067
title: Supplementary Table 1.xlsx

description: Amplification of <i>MYCN</i> is observed in high-risk neuroblastomas (NBs) and is associated with a poor prognosis. <i>MYCN</i> expression is directly regulated by multiple transcription factors, including OCT4, MYCN, CTCF, and p53 in NB<i>.</i> Our previous study showed that inhibition of p53 binding at the <i>MYCN</i> locus induces NB cell death. However, it remains unclear whether inhibition of alternative transcription factor induces NB cell death. In this study, we revealed that the inhibition of OCT4 binding at the <i>MYCN</i> locus, a critical site for the human-specific OCT4–MYCN positive feedback loop, induces caspase-2-mediated cell death in <i>MYCN</i>-amplified NB. We used the CRISPR/deactivated Cas9 (dCas9) technology to specifically inhibit transcription factors from binding to the <i>MYCN</i> locus in the <i>MYCN</i>-amplified NB cell lines CHP134 and IMR32. After the inhibition of OCT4 binding at the <i>MYCN</i> locus in CHP134 and IMR32, we performed long-read and short-read RNA sequencing analysis. This dataset includes gene information, including open reading frame (ORF) dominance score and normalized expression counts of each transcript (n=3 per condition).
DOI: 10.6084/m9.figshare.24543067.v1
title: Supplementary Table 1.xlsx

description: Amplification of <i>MYCN</i> is observed in high-risk neuroblastomas (NBs) and is associated with a poor prognosis. <i>MYCN</i> expression is directly regulated by multiple transcription factors, including OCT4, MYCN, CTCF, and p53 in NB<i>.</i> Our previous study showed that inhibition of p53 binding at the <i>MYCN</i> locus induces NB cell death. However, it remains unclear whether inhibition of alternative transcription factor induces NB cell death. In this study, we revealed that the inhibition of OCT4 binding at the <i>MYCN</i> locus, a critical site for the human-specific OCT4–MYCN positive feedback loop, induces caspase-2-mediated cell death in <i>MYCN</i>-amplified NB. We used the CRISPR/deactivated Cas9 (dCas9) technology to specifically inhibit transcription factors from binding to the <i>MYCN</i> locus in the <i>MYCN</i>-amplified NB cell lines CHP134 and IMR32. After the inhibition of OCT4 binding at the <i>MYCN</i> locus in CHP134 and IMR32, we performed long-read and short-read RNA sequencing analysis. This dataset includes gene information, including open reading frame (ORF) dominance score and normalized expression counts of each transcript (n=3 per condition).
DOI: 10.5281/zenodo.10084277
title: Hydrological controls of slope response to precipitation - Code and Data

description: This repository contains the dataset and codes used in the study of sloping soil response to precipitation through machine learning analysis. The dataset includes synthetic data of precipitation, soil moisture, and groundwater level mimicking field observations conducted in a experimental field. The codes include scripts for data preprocessing, analysis, and visualization. Here you will find: The dataset used to build a random forest (RF) model (01_RF_dataset.csv), the script for building the model (01_RF_model.py) using the sciki-learn library in Python (https://scikit-learn.org/stable/index.html), the dataset for the cluster analysis (SyntheticData.mat) and the script for the analysis using the k-means clustering technique implemented in Matlab (https://it.mathworks.com/help/stats/kmeans.html).
The data and the codes in the present repository are part of the research entitled "Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data", published in Hydrology and Earth System Sciences - HESS journal. More details can be found for now in the paper preprint: Roman Quintero DC, Marino P, Santonastaso GF, Greco R (2023). Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data. EGUsphere: 1-41. DOI: 10.5194/EGUSPHERE-2022-1078
DOI: 10.5281/zenodo.10084278
title: Hydrological controls to slope response - Code and Data

description: This repository contains the dataset and codes used in the study of sloping soil response to precipitation. The dataset includes synthetic data of precipitation, soil moisture, and groundwater level mimicking field observations conducted in a experimental field. The codes include scripts for data preprocessing, analysis, and visualization.
DOI: 10.5281/zenodo.10107351
title: Hydrological controls of slope response to precipitation - Code and Data

description: This repository contains the dataset and codes used in the study of sloping soil response to precipitation through machine learning analysis. The dataset includes synthetic data of precipitation, soil moisture, and groundwater level mimicking field observations conducted in a experimental field. The codes include scripts for data preprocessing, analysis, and visualization. Here you will find: The dataset used to build a random forest (RF) model (01_RF_dataset.csv), the script for building the model (01_RF_model.py) using the sciki-learn library in Python (https://scikit-learn.org/stable/index.html), the dataset for the cluster analysis (SyntheticData.mat) and the script for the analysis using the k-means clustering technique implemented in Matlab (https://it.mathworks.com/help/stats/kmeans.html).
The data and the codes in the present repository are part of the research entitled "Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data", published in Hydrology and Earth System Sciences - HESS journal. More details can be found for now in the paper preprint: Roman Quintero DC, Marino P, Santonastaso GF, Greco R (2023). Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data. EGUsphere: 1-41. DOI: 10.5194/EGUSPHERE-2022-1078
DOI: 10.5281/zenodo.8314812
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: scRNAseq data (G3 Medulloblastoma)
DOI: 10.5281/zenodo.8314811
title: Patient and xenograft-derived organoids recapitulate brain tumor features and patient treatments

description: scRNAseq data (G3 Medulloblastoma)
DOI: 10.5281/zenodo.10107584
title: acropternis_orthonyx_zanfona_1.fasta.gz

description: acropternis_orthonyx_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10107585
title: acropternis_orthonyx_zanfona_1.fasta.gz

description: acropternis_orthonyx_zanfona_1.fasta.gz
DOI: 10.5519/qd.qzew4l8w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.25345/c5gf0n68r
title: MassIVE MSV000093357 - BAD BioID in 2D MCF10A cell culture
title: BioID proximity labeling experiment on Bcl2-associated agonist of cell death (BAD) using BAD-miniTurbo stable cell line in MCF10A, 2D cell culture. Sample: BAD-turbo-biotin; controls: BAD-biotin, turbo-biotin, BAD-turbo (n=3).
DOI: 10.7924/r4d79j21m
title: Data from: Trauma data in conflict MENA Nations: An appeal for registry sharing

description: A scoping review of the literature was conducted to identify trauma registries that included information on injuries sustained by civilians and local combatants in the MENA conflict nations. The search was not restricted by date. Definitions were pre-determined to prevent ambiguity surrounding the concepts of trauma registries and the MENA conflict nations. 

After the publications were identified, bibliometric analysis was performed on the large percentage of the articles indexed in the Web of Science database and published in journals indexed in Clarivate's Journal Citation Report (JCR). 

The search was developed by a professional medical librarian in consultation with the author team; it included both keywords and subject headings representing the selected MENA nations, data, and trauma. The searches were independently peer reviewed by another librarian using a modified PRESS Checklist, and were conducted in MEDLINE via PubMed, Embase via Elsevier, Scopus via Elsevier, Global Health Database via EBSCOhost, and Web of Science via Clarivate.29 The searches were executed on January 10, 2023 and found 1,033 unique citations. Complete reproducible search strategies for all registries and the grey literature search plan are detailed in the Supplementary Materials. All citations were imported into Covidence, a systematic review screening software. PRISMA reporting guidelines were followed throughout.

The study focused on civilian victims within conflict zones. We excluded studies solely focused on military casualties. We included registries that contained demographics, processes of care, or outcomes of injured patients seen by a health care facility. 

Countries of interest were selected based on geographic location in 21st century conflicts. Our list of conflict countries was defined by the World Bank's MENA nations list and its 2022 List of Fragile and Conflict-affected Situations.10,11 The following 6 nations were included in both lists: Lebanon, Gaza/West Bank, Syria, Iraq, Yemen, and Libya.
DOI: 10.5281/zenodo.8165713
title: Phenotypic differences between interfertile Chlamydomonas species- measurements, Cellprofiler

description: This repository contains 2D morphology measurements from timelapse microscopy data of two interfertile Chlamydomonas algal species. The protocol to generate this data is described in the associated publication, "Phenotypic differences between interfertile Chlamydomonas species", and summarized here. Cells were collected from agar plates and suspended in water, then left to sit overnight to encourage gamete formation. During this time, non-motile cells settled, allowing for the enrichment of motile cells in the supernatant. These enriched cells were then loaded onto agar microchambers (100 micron diameter and 40 micron depth) for imaging. We collected videos on a Nikon Ti2-E microscope equipped with a Photometrics Kinetix digital scMos camera. We performed differential interference contrast (DIC) imaging using a Plan Apo 10× 0.45 Air objective. We collected videos with a 5.1 ms exposure with acquisition every 50 ms for three minutes. We placed a red light filter [IR longpass, 610 nm (ThorLabs)] in the light path to maintain swimming behavior of cells. The procedure was standardized and repeated four times to ensure consistency. Measurements collected with Cellprofiler of timelapse data of C. reinhardtii or C. smithii cells in agar microchamber wells are shared here.
Reference
Essock-Burns T, Garcia III G, MacQuarrie CD, Mets DG, York R. (2023). Phenotypic differences between interfertile Chlamydomonas species
Notes
Directory and subdirectories containing csv files of measurements of algal cells segmented from images.Directory structure: experiments_csv/{experiment}/{video_length}/objects/{species}/{microchamber AKA "pool ID"}/measurements/measurementschlamy.csv
"Cr" indicates Chlamydomonas reinhardtii
"Cs" indicates Chlamydomonas smithii
DOI: 10.5281/zenodo.8165714
title: Phenotypic differences between interfertile Chlamydomonas species- measurements, Cellprofiler

description: This repository contains 2D morphology measurements from timelapse microscopy data of two interfertile Chlamydomonas algal species. The protocol to generate this data is described in the associated publication, "Phenotypic differences between interfertile Chlamydomonas species", and summarized here. Cells were collected from agar plates and suspended in water, then left to sit overnight to encourage gamete formation. During this time, non-motile cells settled, allowing for the enrichment of motile cells in the supernatant. These enriched cells were then loaded onto agar microchambers (100 micron diameter and 40 micron depth) for imaging. We collected videos on a Nikon Ti2-E microscope equipped with a Photometrics Kinetix digital scMos camera. We performed differential interference contrast (DIC) imaging using a Plan Apo 10× 0.45 Air objective. We collected videos with a 5.1 ms exposure with acquisition every 50 ms for three minutes. We placed a red light filter [IR longpass, 610 nm (ThorLabs)] in the light path to maintain swimming behavior of cells. The procedure was standardized and repeated four times to ensure consistency. Measurements collected with Cellprofiler of timelapse data of C. reinhardtii or C. smithii cells in agar microchamber wells are shared here.
Reference
Essock-Burns T, Garcia III G, MacQuarrie CD, Mets DG, York R. (2023). Phenotypic differences between interfertile Chlamydomonas species
Notes
Directory and subdirectories containing csv files of measurements of algal cells segmented from images.Directory structure: experiments_csv/{experiment}/{video_length}/objects/{species}/{microchamber AKA "pool ID"}/measurements/measurementschlamy.csv
"Cr" indicates Chlamydomonas reinhardtii
"Cs" indicates Chlamydomonas smithii
DOI: 10.5519/qd.9rnvioiu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.5519/qd.aogsvfp4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22882 records)
DOI: 10.5281/zenodo.10107602
title: Physicochemical parameters of soils and substrates associated with Peltigera lichens in southern Chile

description: This dataset contains data on water content, pH, organic carbon, ammonium, nitrate, and phosphorus, quantified in 126 Peltigera lichen substrates (i.e., the soil beneath each lichen) and 64 soil samples from the surroundings (i.e., soil without lichen influence), collected in forest and grassland habitats from four different sites in southern Chile. 
Three files are available: the file "Metadata.csv" includes the information about all substrate and soil samples, the file "Methods.txt" consists of the protocols that were used to determine the physicochemical parameters, and the file "Peltigera_PP.csv" contains the results of the quantification of each physicochemical parameter.
description: The production of this dataset was supported by ANID – FONDECYT 1181510 and ANID – Programa Iniciativa Científica Milenio ICN2021_002.
DOI: 10.5281/zenodo.10107603
title: Physicochemical parameters of soils and substrates associated with Peltigera lichens in southern Chile

description: This dataset contains data on water content, pH, organic carbon, ammonium, nitrate, and phosphorus, quantified in 126 Peltigera lichen substrates (i.e., the soil beneath each lichen) and 64 soil samples from the surroundings (i.e., soil without lichen influence), collected in forest and grassland habitats from four different sites in southern Chile. 
Three files are available: the file "Metadata.csv" includes the information about all substrate and soil samples, the file "Methods.txt" consists of the protocols that were used to determine the physicochemical parameters, and the file "Peltigera_PP.csv" contains the results of the quantification of each physicochemical parameter.
description: The production of this dataset was supported by ANID – FONDECYT 1181510 and ANID – Programa Iniciativa Científica Milenio ICN2021_002.