cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v3kuq6
title: Occurrence Download

description: A dataset containing 831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Brazil, Ecuador, Colombia, Mexico, United States of America, Canada, South Africa, Algeria, Spain, Portugal, France, United Kingdom of Great Britain and Northern Ireland, Norway, Denmark, Italy, Belgium, Germany, Australia, Austria, Croatia, Georgia, Russian Federation, Türkiye, New Zealand, Guadeloupe, Martinique)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ligustrum japonicum Thunb."
 ]
}

 The dataset includes 831 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018963-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12687440
title: Svalbox-DOM_2022-0024

description: Model description: Digital outcrop model of Storfjellet, in south-east Fulmardalen, Sabine Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.12687441
title: Svalbox-DOM_2022-0024

description: Model description: Digital outcrop model of Storfjellet, in south-east Fulmardalen, Sabine Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.15468/dl.4wdcm4
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptyas dhumnades (Cantor, 1842)"
 ]
}

 The dataset includes 77 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018964-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.26210789
title: <b>Supporting data for "Effects of inflammation on the aged periodontium via NF-</b><b>κ</b><b>B/FOXO3a/c-JUN signalling"</b>

description: Ageing is widely recognized as a major risk factor for numerous chronic inflammatory diseases. The pro-inflammatory state observed in ageing individuals may serve as a biomarker of the rate of ageing. Elevated concentrations of pro-inflammatory markers in older individuals have been found to be associated with an increased risk of age-related diseases and various chronic conditions. Coinciding with other chronic diseases, periodontal disease increases in prevalence and severity with ageing. The periodontal ligament (PDL) is a key component of the periodontium, and periodontal ligament cells (PDLCs) play a vital role in the process of periodontal remodeling. However, the specific mechanisms that connect inflammation with ageing in the periodontium remain unclear. The aim of this study was to investigate the effect of inflammation on the senescence phenotype and bone metabolism of the aged periodontium and to explore the molecular mechanisms underlying this effect.
DOI: 10.25442/hku.26210789.v1
title: <b>Supporting data for "Effects of inflammation on the aged periodontium via NF-</b><b>κ</b><b>B/FOXO3a/c-JUN signalling"</b>

description: Ageing is widely recognized as a major risk factor for numerous chronic inflammatory diseases. The pro-inflammatory state observed in ageing individuals may serve as a biomarker of the rate of ageing. Elevated concentrations of pro-inflammatory markers in older individuals have been found to be associated with an increased risk of age-related diseases and various chronic conditions. Coinciding with other chronic diseases, periodontal disease increases in prevalence and severity with ageing. The periodontal ligament (PDL) is a key component of the periodontium, and periodontal ligament cells (PDLCs) play a vital role in the process of periodontal remodeling. However, the specific mechanisms that connect inflammation with ageing in the periodontium remain unclear. The aim of this study was to investigate the effect of inflammation on the senescence phenotype and bone metabolism of the aged periodontium and to explore the molecular mechanisms underlying this effect.
DOI: 10.15468/dl.c72cxr
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptyas korros (Schlegel, 1837)"
 ]
}

 The dataset includes 133 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018965-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtw2qp
title: Occurrence Download

description: A dataset listing the 123 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Switzerland",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Swiss National Butterflies and Forester Moths Databank, Swiss National Moths Databank, Swiss National Coleoptera Databank, Swiss National Grasshoppers Databank, Swiss National Dragonflies Databank, Swiss National Mammal Databank, Swiss National Apoidea Databank, Swiss National Amphibian Databank, Swiss National Mollusca Databank)",
 "Geometry POLYGON((9.53508 47.27115,9.59493 47.27115,9.59493 47.33036,9.53508 47.33036,9.53508 47.27115))",
 "License is CC-BY 4.0",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 123 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018960-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kgtqt
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptyas mucosa (Linnaeus, 1758)"
 ]
}

 The dataset includes 193 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018966-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd1901-v2
title: A study of Sami Children's Rights Under the UN Child Convention, 2011

description: The UN Child Convention (CRC) is the only UN general human rights conventions that specifically refer to indigenous rights. 1 August of 2003, the Convention incorporated in the Human Rights Act. This means that the Convention provisions on conflict takes precedence over provisions in other national legislation (§ 3). The Child Convention therefore has a very heavy legal weight in Norway and particular relevance for Sami children. There is still very little research on the Convention's importance for Sami children.

The main question of the project is: What means the CRC for Sami children, how are provisions relevant for Sami children made visible in the Norwegian legislation and how the provisions implemented in government and relevant institutions?

To limit the scope of the study, I will start with these three articles : Article 30 (Children of indigenous shall not be denied culture , language or religion), article. 29.1 (Education shall promote understanding and respect for indigenous people) and article 17 (The media shall have particular regard to indigenous children's linguistic needs).

The problem adds up to an interdisciplinary study in two parts: 1: Legal analysis of the relevant provisions of the Convention , other international conventions importance and visibility of the provisions of the Norwegian legal system. 2: A study of sociology of law of the implementation of the provisions of the relevant agencies and institutions.

The CRC is incorporated by law in such a way that it is directly relevant to public bodies and institutions. - But what happens in reality - in government and various institutions? Will Sami children's rights against the CRC respected? The project will identify what government organizations and institutions do to ensure Sami children's rights and evaluate it against the interpretation foundation made of CRC.

The data consists of three types of data: transcribed interviews, sound recordings and questionnaires. The Nesstar file contains data from the questionnaire. Two datasets are connected to the file, which concern pupils and teachers.
DOI: 10.18712/nsd-nsd2684-v2
title: Ethics, Social Media and Teacher Education, 2012/2013, part 2 and 3

description: This dataset contains data from part 2 and part 3 of a longitudinal survey. The data collections for part 2 and 3 were financed by PHS. Part 2 followed the participants up with a web based questionnaire, and part 3 followed up some of the participants with an interview. Part 2 and 3 followed up part 1 which was a paper-based survey funded by the research group "Digital Learning Communities" at the Faculty of Psychology, UiB and consists of a selection of teacher students (n = 475) from teacher education programs throughout Norway. The questionnaire used in Part 2 was based on Part 1 with some modifications.

Quantitative data are freely available for downloading. NSD can in agreement with the Principal Investigator make qualitative data from part 3 available when ordered.
DOI: 10.18712/nsd-nsd3116-v2
title: Nation-building and nationalism in today’s Russia (NEORUSS)

description: This project investigated the developments of nation-building, nationalism and notions of the other's in today's Russia. 
The nation-building program designed by Yeltsin for post-Soviet Russia is under strain. Central to this program is the concept of the ‘Rossiiskii’ nation, signaling a non-ethnic nation model with significant cultural and political rights to non-Russians, but held together with a high degree of common values and traditions. Today, the loss of the large, multiethnic Soviet state is accepted by an increasing number of Russians, but in the process also the civic understanding of the nation is being jettisoned, and Russian nationalism, for the first time in it history, seems to be turning towards a focus on ethnicity: ‘Russian’ is increasingly being understood as ‘ethnic Russian’ (‘Russkii’).

Ethnocentric and xenophobic sentiments were prominent in the anti-Putinist rallies that attracted large crowds in winter 2011/2012. Especially notable were slogans against culturally alien migrant laborers from Central Asia and North Caucasus – the ‘new Other’.

This project examined the nationality question in Russian discourse and aims to determine to what extent the Russian national identity is shifting from an imperial (and implicitly multiethnic) understanding of the nation, towards an ethnic and exclusive one. We also looked at the potential consequences this shift might have for Russian politics.

Key issues
In order to document and analyze the new preconditions for nation-building in Russia, four key issues will be taken up for separate scrutiny;
- Changes in political signals as well as the state’s actual policies
- The nationality issue in the opposition and political fringe groups
- Role of the media
- Changes in the public mood

Data is licensed under Open Data Commons Attribution License v1.0
DOI: 10.25403/upresearchdata.24788277
title: Thematic analysis of retrenchments impact

description: Dataset for a Masters study titled "The implication of retrenchments : through the lens of survivors". The study employed a qualitative research design and an interpretivist paradigm to explore the impact of retrenchments on those employees who remain within organisations post-retrenchments (survivors), as well as practices that organisations maintain a high-performing and committed workforce post-retrenchments.
Data collected was processed and categorised into themes in order to develop findings with relation to the research question. The study maintained high levels of confidentiality and ethical procedures.
DOI: 10.25403/upresearchdata.24788277.v1
title: Thematic analysis of retrenchments impact

description: Dataset for a Masters study titled "The implication of retrenchments : through the lens of survivors". The study employed a qualitative research design and an interpretivist paradigm to explore the impact of retrenchments on those employees who remain within organisations post-retrenchments (survivors), as well as practices that organisations maintain a high-performing and committed workforce post-retrenchments.
Data collected was processed and categorised into themes in order to develop findings with relation to the research question. The study maintained high levels of confidentiality and ethical procedures.
DOI: 10.5281/zenodo.11109777
title: Full optimization of DNP on a 1 T benchtop polarizer with hyperpolarizing solids
DOI: 10.5281/zenodo.11109776
title: Full optimization of DNP on a 1 T benchtop polarizer with hyperpolarizing solids
DOI: 10.5281/zenodo.12687121
title: Svalbox-DOM_2022-0023

description: Model description: Digital outcrop model of Cadellfjellet, in southern Adolfbukta, inner Billefjorden, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.12687122
title: Svalbox-DOM_2022-0023

description: Model description: Digital outcrop model of Cadellfjellet, in southern Adolfbukta, inner Billefjorden, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.12703851
title: A group of images used for fractal analysis in Grading Evaluation of Marbling in Wagyu Beef Using Fractal Analysis.
DOI: 10.5281/zenodo.12703852
title: A group of images used for fractal analysis in Grading Evaluation of Marbling in Wagyu Beef Using Fractal Analysis.
DOI: 10.5281/zenodo.11186637
title: ARC³N: A Collaborative Uncertainty Collection to Address the Awareness Problem of Model-Based Confidentiality Analysis - Data Set

description: Data set of the Paper "ARC³N: A Collaborative Uncertainty Collection to Address the Awareness Problem of Model-Based Confidentiality Analysis". For more information, please see the README.md. For even more information please visit https://abunai.dev
DOI: 10.5281/zenodo.12203892
title: Immunotoxicity of stainless-steel nanoparticles obtained after 3D printing
DOI: 10.5281/zenodo.12203893
title: Immunotoxicity of stainless-steel nanoparticles obtained after 3D printing
DOI: 10.25934/pr00010039
title:  Evaluation of dose individualization strategies in optimizing survival and patient-reported outcomes of sunitinib treatment in patients with metastatic renal cell carcinoma Status: At least one Data Package Provided and Available

description: Renal cell carcinoma (RCC) is a type of cancer that affects the kidney. According to Global Cancer Observatory (GLOBOCAN) data, in 2020, over 400,000 new cases of RCC were diagnosed, and around 180,000 people died from the disease. People with metastatic RCC (mRCC, when tumor has spread to other parts of their body) used to have a low chance of surviving for 5 years of 7.3% (during 1992-1995), but now, thanks to new medicines, the survival rate has improved to around 14% (during 2011-2017).
Sunitinib is a drug that has been approved for treating mRCC for more than 15 years. It is currently the most cost-effective initial (first-line) treatment for this type of cancer. However, how sunitinib is processed by the body can vary greatly among different patients, and we do not fully understand why. In a study of 60 mRCC patients taking a fixed dose of 50mg of sunitinib every day, the amount of the drug found in their blood plasma varied widely, ranging from 24.5 to 209.4 nanograms per milliliter. This big variability in blood concentration is problematic, since studies have shown that patients with lower levels of sunitinib in their blood may have a lower chance of responding to the treatment and thus lower chance of survival, and that giving them a higher dose may help. However, if the dose is too high, it can cause serious side effects that not only make the treatment less effective but also lower the patient's quality of life.
Doctors and researchers have been looking into ways to personalize the dose of sunitinib for patients with mRCC instead of giving the same dose to everyone. But there isn't much clear evidence on how to do this yet, and there aren't many guidelines or tools to help making these personalized dosing decisions. Therefore, this study aims to gather and analyse patient level data collected across different previously conducted clinical trials to see if there are certain factors, such as the amount of sunitinib in plasma or other indicators in the blood (biomarkers), that can help predict how well a patient will respond to sunitinib treatment. 
In this study, we want to explore the inclusion of the perspective and experiences of patients as an important factor when evaluating predictors of treatment outcomes, alongside side effects reported by doctors and survival. Patient-reported outcomes (PROs) are data collected from patients about how they feel during treatment, such as improvement in symptoms related to the disease, any side effects they experience that is hard to tolerate, and their quality of life. By looking at patient level data that includes information about how much of the drug is in their system, any changes in their biomarkers, and their PROs over time, we hope to better understand how we can personalize sunitinib treatment to fit the needs and experiences of each mRCC patient.
DOI: 10.15468/dl.aacxz7
title: Occurrence Download

description: A dataset containing 3295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.89997 54.45554,-2.68015 54.45554,-2.68015 54.54343,-2.89997 54.54343,-2.89997 54.45554))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 3295 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018968-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.