cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6pcuwx
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus excelsa Liebm."
 ]
}

 The dataset includes 92 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000314-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m48qur
title: Occurrence Download

description: A dataset containing 60106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senegalia Raf."
 ]
}

 The dataset includes 60106 records from 546 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003455-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjdut6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cepaea hortensis (O.F.Müller, 1774)",
 "DecimalLatitude is less than 55",
 "DecimalLatitude is greater than or equal to 54",
 "DecimalLongitude is less than 2",
 "DecimalLongitude is greater than or equal to 1"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043119-240626123714530/datasets/export for details.
DOI: 10.15468/dl.8ch6qg
title: Occurrence Download

description: A dataset containing 52155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermochelyidae"
 ]
}

 The dataset includes 52155 records from 482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043118-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5k439g4tjz.1
title: code for "Unveiling the Vital Function Overlooked"

description: Stata Code Files for the Study "Unveiling the vital function overlooked: An empirical strategy to evaluate the trade effect of carbon markets"
This document outlines the Stata code files used in the study to showcase the process of obtaining empirical results featured in the main text and supplementary information appendix.
DOI: 10.17632/jgpcryspbr.1
title: Mechanism of arsenic-induced liver injury in rats revealed by metabolomics and ionomics based approach

description: Arsenic (As) is an environmental toxicant and human carcinogen, and long-term exposure to As can lead to varying degrees of liver injury. In order to futher explore the mechanism of As-induced liver injury in rats, a rat model of As poisoned was established in this study, and metabolomics and ionomics methods were applied to study the differences of liver metabolites and ion concentrations between As poisoned rats. By metabolomic analysis, a total of 164 differentially expressed metabolites (DEMs) were identified between the As poisoned group and the Contrl(Ctrl) group, in which metabolic pathways such as nicotinate and nicotinamide metabolism, steroid hormone biosynthesis, and taurine and hypotaurine metabolism were significantly enriched. Ionomics results showed that ten ions were elevated in the As poisoned group, including As, cadmium (Cd), mercury (Hg), and manganese (Mn), while lead (Pb) and thallium (Tl) were reduced (p &lt; 0.05). Spearman Correlation analysis of DEMs and differentially ions showed that As, Cd, Hg and Pb were negatively correlated with androstenedione, protoporphyrinogen and estriol, while As was positively correlated with progesterone, Cd and nicotinamide adenine dinucleotide (NAD+), Mn and 5-L-glutamyltaurine. This study revealed the changes in liver metabolites and ions level in As poisoned rats, as well as the relationship between them and the potential mechanisms of As induced liver injury, among them, the steroid hormone biosynthesis pathway plays an important role in arsenic hepatotoxicity.
DOI: 10.17632/wm84mz2h69.1
title: Qin3

description: Efficient removal of Cr(III)-contaminated water by carbonate mineralizing bacteria: Effect and mechanism of MICP
DOI: 10.17632/f5ft73ntck.1
title: Attributions of Intent and Moral Responsibility to AI agents

description: Datasets used to investigate how an AI agent's level of intentionality and socio-psychological features impacted observers' judgments of it when it transgressed (Study 1). Studies 2a-c investigated 1) the distinctiveness of the AI agent's mind from the mind of its programmers and 2) observers' perceptions of the AI agent's free will as possible explanations for why an AI agent that was embedded in a human social network (vs. not) appeared to receive more lenient judgments.
DOI: 10.17632/9xb8cxnc6w.1
title: The Impact of AI-Enabled ChatGPT Translation on Legal Audit Quality: Data collected

description: In the context of a research study titled "The Impact of AI-Enabled ChatGPT Translation on Legal Audit Quality," data was collected from auditors working in the subsidiaries of the Big Four audit firms in Morocco. The data includes research variables such as age, experience in using AI, and the perceived ease of use of ChatGPT...
DOI: 10.17632/7spyb8h9xf.1
title: Okra data set

description: data set for okra parents and hybrids evaluation
DOI: 10.5281/zenodo.12168516
title: UAV AgroTwin Vineyard Dataset 2024

description: Each survey was composed of 2 flights, one with the camera positioned orthogonal to the drone (i.e. nadir mode) and the other with the camera positioned at 30 degree to the horizon (inclined mode), both at an altitude of 30 meters above ground level and with 85% front and side image overlaps.

The data was collected in Cesa, a region in Tuscany, Italy.

The dataset comprises the following data:



"UAV RGB Images":  This folder contains multiple subfolders, each holding a collection of RGB images in a specific phenological phase collected with different camera angle (Nadir and 30 degree). The image where collected using the DJI Phantom 3 Professional. The images are encoded in the JPG format (.jpg). The image metadata includes location information, camera settings, and capture dates.

"Pointclouds": The "Pointclouds" folder contains multiple point cloud data generated from RGB images using Pix4D Mapper. We reconstructed a point cloud for each type of flight (30 degrees, Nadir and Nadir+30 degrees). The point cloud data is created with high resolution and is saved in the plyformat (.ply).
DOI: 10.5281/zenodo.12168515
title: AgroTwin Drone Vineyard Dataset 2024

description: The drone data was collected in Cesa (Italy) in 3 surveys from half May 2024 to early July 2024. Each survey was composed of 2 drone flights, one with the camera in nadir position (i.e., 90°) and the other with the camera positioned at 30° to the horizon (inclined mode), both at an altitude of 30 meters above ground level and with 85% front and side image overlaps.

Furthermore, we conducted a sensitivity analysis. In particular we performed a series of surveys having the following flight characteristics:







h30-fo85-so90-30°

h30-fo85-so90-nadir

h30-fo90-so90-30°

h30-fo90-so90-nadir

h50-fo85-so80-30°

h50-fo85-so80-nadir

h50-fo85-so90-30°

h50-fo85-so90-nadir

h50-fo90-so90-nadir




where: h=height, fo=Front Overlap, so=Side Overlap. 

The dataset comprises the following data:



"UAV RGB Images":  This folder contains multiple subfolders, each holding a collection of RGB images in a specific phenological stage collected with different camera angle (nadir and 30°). The "Sensitivity_Images" folder contains the sensitivity RGB images as described previously.


The image where collected using the DJI Phantom 3 Professional and encoded in the JPG format (.jpg). The image metadata includes GNSS information, camera settings, and capture dates.



"Pointclouds": The "Pointclouds" folder contains multiple 3D point clouds data generated from RGB images using OpenDroneMap open-source photogrammetric software. In the sensitivity analysis, a 3D point cloud has been processed for each type of flight (30°, Nadir and Nadir+30°). The 3D point cloud data was created with high resolution and was saved in ply format (.ply).
DOI: 10.5281/zenodo.12744462
title: AgroTwin Drone Vineyard Dataset 2024

description: The drone data was collected in Cesa (Italy) in 3 surveys from half May 2024 to early July 2024. Each survey was composed of 2 drone flights, one with the camera in nadir position (i.e., 90°) and the other with the camera positioned at 30° to the horizon (inclined mode), both at an altitude of 30 meters above ground level and with 85% front and side image overlaps.

Furthermore, we conducted a sensitivity analysis. In particular we performed a series of surveys having the following flight characteristics:







h30-fo85-so90-30°

h30-fo85-so90-nadir

h30-fo90-so90-30°

h30-fo90-so90-nadir

h50-fo85-so80-30°

h50-fo85-so80-nadir

h50-fo85-so90-30°

h50-fo85-so90-nadir

h50-fo90-so90-nadir




where: h=height, fo=Front Overlap, so=Side Overlap. 

The dataset comprises the following data:



"UAV RGB Images":  This folder contains multiple subfolders, each holding a collection of RGB images in a specific phenological stage collected with different camera angle (nadir and 30°). The "Sensitivity_Images" folder contains the sensitivity RGB images as described previously.


The image where collected using the DJI Phantom 3 Professional and encoded in the JPG format (.jpg). The image metadata includes GNSS information, camera settings, and capture dates.



"Pointclouds": The "Pointclouds" folder contains multiple 3D point clouds data generated from RGB images using OpenDroneMap open-source photogrammetric software. In the sensitivity analysis, a 3D point cloud has been processed for each type of flight (30°, Nadir and Nadir+30°). The 3D point cloud data was created with high resolution and was saved in ply format (.ply).
DOI: 10.24378/exe.5085
title: Governance characteristics and feelings of safety are associated with attitudinal success in community-based natural resource management & conservation organisations in Northern Kenya (dataset)

description: Data supporting the paper "Governance characteristics and feelings of safety are associated with attitudinal success in community-based natural resource management & conservation organisations in Northern Kenya" by Lindsay A. Walker, Deepali Gohil, Monique Borgerhoff Mulder, Juliet King, and Thomas E. Currie (2024) published in People & Nature.
description: Three datasets to enable replication of main analyses in the paper: 1) Conservancy Governance Time Series data (2014-2017), 2) Main dataset: Social Satisfaction Scores for households that answered all 7 questions, and predictor variables (Governance score, Security, Years established, Population size), 3) Confirmatory analyses dataset - same as the main dataset but expanded to include households that answered at least 5 of the 7 questions.
DOI: 10.17632/n2zvf84xcs.1
title: Correlation between nevus association and reduced risks of recurrence and mortality in acral melanoma: A multicenter, retrospective analysis of 482 patients

description: Nevus-associated melanoma (NAM) refers to melanoma that either contains residual nevus components, as observed in histopathological examination, or originates from a pre-existing nevus. NAM has been extensively studied to better understand melanoma biology. It accounts for approximately 30% of cutaneous melanoma (CM) cases and is more prevalent among younger individuals with thinner Breslow thickness. NAM patients show significantly improved overall survival (OS) compared to those with de novo melanoma (DNM) . Acral melanoma (AM), a unique subtype of melanoma occurring on the palms, soles, and nails, is rare in Caucasians (1–7%) but more common in non-White individuals, representing up to 50–58% of all melanomas in Asians and even 60–70% in Blacks . Despite this, there is a lack of large-scale global analyses of AM, and the impact of nevus association on AM remains unclear.
This study aimed to compare nevus-associated acral melanoma (NAAM) with de novo acral melanoma (DNAM) to explore differences in demographic characteristics, clinicopathological features, recurrence, and survival between these two groups.
DOI: 10.17632/f25m8jzchx.1
title: PROBABILITY IMPACT MATRIX (PIM) APPROACH IN RISK ANALYSIS OF THE SELECTION OF CONTRACTORS WITH E-PROCUREMENT METHOD IN INDONESIA

description: The development of Industry 4.0 drives the implementation of electronic-based procurement, enabling more efficient and transparent procurement. This study examines the implementation of e-procurement in Indonesia called e-purchasing catalog at the Ministry of Public Works and Housing (PUPR), focusing on the perspective of 34 respondents who work as Auditor at the Supreme Audit Institution of Indonesia called BPK and actively conducting an audit at the Ministry of PUPR in 2024, performing risk analysis with Probability Impact Matrix (PIM) approach, reliability test with Cronbach’s Alpha method, and formulate Risk Response. The research identified 41 potential risk factors at six stages of procurement in Indonesia, resulting in 5 risks being classified as medium risk and 36 as high risk. The stages with the highest risk are procurement preparation and contract implementation, while the risk ranking analysis group shows two main problems: price negotiation method and quality assurance. Risk Response results in a total of 9 recommendations. One of the main recommendations is to develop a system for profiling the experience of construction service providers, and the other recommendations are related to price negotiation methods (alternative method, publishing transaction data, etc.) and quality assurance (periodic update database for vendors, conformity with e-procurement specifications).
DOI: 10.25442/hku.26342509
title: Supporting data for "Conservation genomics and the evolution of the widespread endangered bunting species"

description: This dataset comprises the supporting data for the PhD thesis entitled "Conservation genomics and the evolution of the widespread endangered bunting species". The thesis summarizes the primary research topics and challenges in the field of conservation genetics, and I used the empirical data and simulations to study the related questions using endangered bird species. In Chapter 2, I analyzed the population structure, gene flow, demographic histories, ecological niche modeling, and genetic features of the critically endangered species, the yellow-breasted bunting. The corresponding dataset is stored in the "Chapter2" folder. Chapter 3 delved into the genetic impacts of demographic history and bottleneck events on genome-wide genetic diversity, inbreeding level, and deleterious mutations. This analysis was based on empirical data of three bunting species and simulation analysis, with the related dataset and results located in the "Chapter3" folder. In Chapter 4, I investigated how evolutionary forces shape the genetic islands of differentiation between and within species using the three bunting species. Additionally, I identified the genes under positive selection in these species, and the related data set and results can be found in the "Chapter 4" folder. Furthermore, detailed information on the samples used in this thesis is available in the "Samples" folder, while the main scripts utilized in this research are stored in the "Scripts" folder.
DOI: 10.17632/6cndn2mgxh.1
title: Summary of CO2 Line Parameters

description: Supplementary Material to the paper 
"Measurements of Line Parameters for 12C16O2 near λ=1.05μm by Cavity Ring-Down Spectrometer" 
by Tao Yang,, Xianmei Qian, Qiang Liua, Wenyue Zhu, Hongliang Ma, Jianjie Zheng, Jun Huang, Chaolong cui, Xiaomei Jin, Jie Chen, Tengfei Yang
DOI: 10.25442/hku.26342509.v1
title: Supporting data for "Conservation genomics and the evolution of the widespread endangered bunting species"

description: This dataset comprises the supporting data for the PhD thesis entitled "Conservation genomics and the evolution of the widespread endangered bunting species". The thesis summarizes the primary research topics and challenges in the field of conservation genetics, and I used the empirical data and simulations to study the related questions using endangered bird species. In Chapter 2, I analyzed the population structure, gene flow, demographic histories, ecological niche modeling, and genetic features of the critically endangered species, the yellow-breasted bunting. The corresponding dataset is stored in the "Chapter2" folder. Chapter 3 delved into the genetic impacts of demographic history and bottleneck events on genome-wide genetic diversity, inbreeding level, and deleterious mutations. This analysis was based on empirical data of three bunting species and simulation analysis, with the related dataset and results located in the "Chapter3" folder. In Chapter 4, I investigated how evolutionary forces shape the genetic islands of differentiation between and within species using the three bunting species. Additionally, I identified the genes under positive selection in these species, and the related data set and results can be found in the "Chapter 4" folder. Furthermore, detailed information on the samples used in this thesis is available in the "Samples" folder, while the main scripts utilized in this research are stored in the "Scripts" folder.
DOI: 10.17632/sxtry75zw5.1
title: CharlottePriceDisclosureData

description: Dataset for Charlotte Price Disclosure Study:

Abstract:
An important method of treatment that can be utilized to address the New Zealand Mental Health crisis is vocational and occupational rehabilitation in one’s workplace. For individuals to access this treatment, they first must disclose an illness to their employer. Due to the engrained societal stigma towards mental illness, New Zealanders often fear the process of disclosure. For an already vulnerable population, supporting the disclosure of mental illness may be a critical process to retain and accommodate these employees. The aim of this study is to examine how perceived organisational and supervisory support influence an individual’s willingness to disclose a mental illness diagnosis to their employer, to determine if this general willingness leads to an act of disclosure, and to understand the impact of disclosure willingness and disclosure behaviour on individual workplace well-being. In a correlational cross-sectional survey using measures of perceived organisational and supervisory support, individual well-being, disclosure willingness and behaviour, 508 responses were obtained and analysed. A conceptual framework was supported by significant results that showed perceived organisational and supervisory support influence willingness to disclose mental illness and individual workplace well-being. Willingness to disclose mental illness was a mediating variable in the relationship between perceived support and well-being. Willingness to disclose mental illness predicted disclosure behaviour, but disclosure behaviour did not have an impact on individual workplace well-being. These results have numerous theoretical and practical applications, and provide a critical understanding for creating a culture of acceptance in New Zealand workplaces.
DOI: 10.17632/sxtry75zw5.2
title: Charlotte Price Disclosure Data

description: Dataset for Charlotte Price Disclosure Study:

Abstract:
An important method of treatment that can be utilized to address the New Zealand Mental Health crisis is vocational and occupational rehabilitation in one’s workplace. For individuals to access this treatment, they first must disclose an illness to their employer. Due to the engrained societal stigma towards mental illness, New Zealanders often fear the process of disclosure. For an already vulnerable population, supporting the disclosure of mental illness may be a critical process to retain and accommodate these employees. The aim of this study is to examine how perceived organisational and supervisory support influence an individual’s willingness to disclose a mental illness diagnosis to their employer, to determine if this general willingness leads to an act of disclosure, and to understand the impact of disclosure willingness and disclosure behaviour on individual workplace well-being. In a correlational cross-sectional survey using measures of perceived organisational and supervisory support, individual well-being, disclosure willingness and behaviour, 508 responses were obtained and analysed. A conceptual framework was supported by significant results that showed perceived organisational and supervisory support influence willingness to disclose mental illness and individual workplace well-being. Willingness to disclose mental illness was a mediating variable in the relationship between perceived support and well-being. Willingness to disclose mental illness predicted disclosure behaviour, but disclosure behaviour did not have an impact on individual workplace well-being. These results have numerous theoretical and practical applications, and provide a critical understanding for creating a culture of acceptance in New Zealand workplaces.
DOI: 10.17632/sxtry75zw5.3
title: Charlotte Price Disclosure Data

description: Dataset for Charlotte Price Disclosure Study:

Abstract:
An important method of treatment that can be utilized to address the New Zealand Mental Health crisis is vocational and occupational rehabilitation in one’s workplace. For individuals to access this treatment, they first must disclose an illness to their employer. Due to the engrained societal stigma towards mental illness, New Zealanders often fear the process of disclosure. For an already vulnerable population, supporting the disclosure of mental illness may be a critical process to retain and accommodate these employees. The aim of this study is to examine how perceived organisational and supervisory support influence an individual’s willingness to disclose a mental illness diagnosis to their employer, to determine if this general willingness leads to an act of disclosure, and to understand the impact of disclosure willingness and disclosure behaviour on individual workplace well-being. In a correlational cross-sectional survey using measures of perceived organisational and supervisory support, individual well-being, disclosure willingness and behaviour, 508 responses were obtained and analysed. A conceptual framework was supported by significant results that showed perceived organisational and supervisory support influence willingness to disclose mental illness and individual workplace well-being. Willingness to disclose mental illness was a mediating variable in the relationship between perceived support and well-being. Willingness to disclose mental illness predicted disclosure behaviour, but disclosure behaviour did not have an impact on individual workplace well-being. These results have numerous theoretical and practical applications, and provide a critical understanding for creating a culture of acceptance in New Zealand workplaces.