cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27917127
title: Supplementary Material for: Perineural invasion for risk stratification in cutaneous squamous cell carcinoma: a scoping review

description: Introduction: Microscopic perineural invasion (mPNI) is a histopathological characteristic that can be found in cutaneous squamous cell carcinoma (cSCC). In the eight edition of the American Joint Committee on Cancer (AJCC), mPNI defined as the involvement of nerves ≥0.1mm and nerves deeper than the dermis is included in risk stratification of cSCC. The question remains whether other mPNI features are important for optimal cSCC staging. We aim to summarize the evidence from published studies on the independent association between various mPNI features and the risk of recurrence, metastasis and disease-specific death in patients with cSCC. 
Methods: Embase, PubMed, and Web of Science were searched from January 2023 to February 2024 to identify studies that reported the prognostic impact of mPNI features in patients ≥18 years with histopathologically verified cSCC. Data on study and tumour characteristics were extracted. 
Results: Nineteen studies met the inclusion criteria and evaluated one or more mPNI features in cSCC including nerve diameter, the extent of mPNI, the number of affected nerves, and depth of mPNI. Two studies provided evidence that ‘mPNI ≥0.1mm’ and ‘mPNI deeper than the dermis’ are significantly and independently associated with poor prognosis after correction for other mPNI features and high-risk factors. One of these studies additionally identified ‘involvement of ≥3 nerves’ as an independent and significant predictor of higher risk of local recurrence (HR, 2.17; 95% CI, 1.03-4.56; p=0.04). 
Conclusion: Besides ‘nerve diameter of ≥0.1mm’ and ‘depth of mPNI involvement’, ‘involvement of multiple nerves’ was found to be an independent risk factor for poor prognosis and should also be considered for appropriate risk stratification.
DOI: 10.17632/kw4jpn5x8y.1
title: Gene module reconstruction identifies cellular differentiation processes and the regulatory logic of specialized secretion in zebrafish

description: During differentiation, cells become structurally and functionally specialized, but comprehensive views of the underlying remodeling processes are elusive. Here, we leverage single-cell RNA sequencing (scRNA-seq) developmental trajectories to reconstruct differentiation using two secretory tissues as models—the zebrafish notochord and hatching gland. First, we integrated expression and functional similarities to identify gene modules, revealing dozens of modules representing known and newly associated differentiation processes and their dynamics. Second, we focused on the unfolded protein response (UPR) transducer module to study how general versus cell-type-specific secretory functions are regulated. Profiling loss- and gain-of-function embryos identified that the UPR transcription factors creb3l1, creb3l2, and xbp1 are master regulators of a general secretion program. creb3l1/creb3l2 additionally activate an extracellular matrix secretion program, while xbp1 partners with bhlha15 to activate a gland-like secretion program. Our study presents module identification via multi-source integration for reconstructing differentiation (MIMIR) and illustrates how transcription factors confer general and specialized cellular functions.

This repository contains:
1. The microscopy images presented in the study.
2. The preprocessed scRNA-seq data from the UPR TF loss- and gain-of-function assays, in form of Scanpy objects.
3. Codes and scripts for UPR TF target gene inference using the scRNA-seq data.
4. Sequences of the plasmids used for making UPR TF mRNAs
DOI: 10.17632/cymv6d7cgv.1
title: BVD-TV Dairy Farm dataset 2024

description: Base de Datos DairyComp 2021 is a database of Argentinian DairycComp 305 users from more than 200 dairy farms that use the software DairyComp305. This data set summarize the reproductive and productive parameters for these users. Data is collecte everyday from the dairy farms to the software and then compilated into this report. Data from all the animals of the farms is collected daily in this software. Information is in spanish, but it is pretty clear to undertand.

Data BVD TV is the data collected from 6 dairy farms under study after the incorporation of Vedevax Block, a targeted subunit vaccine against BVDV (BVD-TV). Data was collected in the DairyComp 305 software, extracted and classified in Years pre-BVD TV, year 0, the year the vaccine was incroporated , and years post-BVD TV. All parameters are annualized, with the exact numbers of animals and the proportion for each parameters. Milk production was also meassure. This data reflects the effect of the Vedevax Block vaccine on the dairy farms, but it also may work as an indication of the impact of the BVD virus on the farms
DOI: 10.17632/cyg6c47mh6.1
title: Pg Wave Tomography around the 2022 Ms 6.8 Luding Earthquake region

description: Waveform data and 2_D P-wave velocity model of the southeastern segment of the Xianshuihe fault zone
DOI: 10.17632/cyg6c47mh6.2
title: Pg Wave Tomography around the 2022 Ms 6.8 Luding Earthquake region

description: Waveform data and 2_D P-wave velocity model of the southeastern segment of the Xianshuihe fault zone
DOI: 10.15468/dl.jcuqxt
title: Occurrence Download

description: A dataset containing 1 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 one of (Tashiroea biglandularis (C.Chen) R.C.Zhou & Ying Liu)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001777-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kgz9b9m8rx.1
title: Attachment to the mentor at the center of a chain reaction

description: This study aimed to deepen the understanding of the causes and consequences of mentor attachment in faculty-student mentoring relationships by answering the questions of “why and under what conditions mentor attachment may develop” (Robertson & Zhang, 2024) and of “how it intervenes in mentoring’s contributions to student persistence and success”. The first hypothesis was that mentors who demonstrate interest in the academic, professional, and personal aspects of their students are more likely to embody the caring, expert support figure that students need (Mouhib, 2018). Because this figure has similarities to an attachment figure to turn to in times of difficulty (Soucy & Larose, 2000), the second hypothesis was that mentors who embody a caring, expert support figure may encourage mentees to develop an attachment to them, i.e. one that is low on the avoidance and anxiety dimensions. As suggested by Le et al. (2021), the third hypothesis was that mentor attachment may play a role in the contribution of mentoring to student well-being. Since the latter’s effects on success and persistence are well documented (e.g., Bücker et al., 2018), the fourth and fifth hypotheses were that the contribution of mentoring to well-being would be a determinant of its contributions to student persistence and success. This being the case, the two final hypotheses were that each dimension of 3D mentoring could activate a chain reaction that contributes to mentoring benefiting student persistence and success, within which the caring, expert support figure, mentor attachment and well-being would be successive mediators. 
Results support the hypotheses, except for the role of attachment anxiety.
DOI: 10.17632/233syckcrz.1
title: Womenpreneur

description: The sample data are from 358 female entrepreneurs in Indonesia. These demographic data were collected using a cross-sectional questionnaire through a bold survey and analyzed using SmartPLS. These data are used to investigate and analyze factors that influence the failure of female entrepreneurs. The variables identified are innovation capability, green process innovation, green product innovation, and digital innovation. The analyzed data will be useful in providing significant contributions to the literature related to green and digital innovation in female entrepreneurship and provide strategic insights for stakeholders in designing policies or interventions that support gender aspirations and inclusion in the business sector. These data provide input for policy makers in the performance aspirations of entrepreneurs including female entrepreneurs.
DOI: 10.15468/dl.c87wjd
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acisanthera fluitans Cogn."
 ]
}

 The dataset includes 55 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001778-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nyarr
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 one of (Tashiroea dayaoshanensis Q.J.Zhou & Ying Liu)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001779-241126133413365/datasets/export for details.
DOI: 10.15468/dl.uu4p9b
title: Occurrence Download

description: A dataset containing 86632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "Continent is Europe",
 "Country is one of (Bulgaria, Italy, Lithuania, Estonia)",
 "HasCoordinate is false",
 "Year 2000-2024"
 ]
}

 The dataset includes 86632 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001776-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b67yqp
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Georgia, Armenia)",
 "Month is June",
 "TaxonKey is Melanitta fusca (Linnaeus, 1758)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001780-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10027942
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.17632/7t5tfdxb6t.1
title: DNA fingerprint data for Calamus dioicus populations in Southern Central Highlands, Vietnam.

description: Data of SCoT, ISSR, CBDP markers generated by DNA fingerprinting techniques for three edemic Calamus dioicus in Southern Central Highlands, Vietnam. These data were established in the binary matrix for as presence (1) or absence (0) of bands after electrophoresis in an Excel file.
DOI: 10.15468/dl.g24zws
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acisanthera inundata (DC.) Triana"
 ]
}

 The dataset includes 76 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001781-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzr3ve
title: Occurrence Download

description: A dataset containing 977139 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Coleoptera Databank"
 ]
}

 The dataset includes 977139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001736-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25287695
title: Exploring South African Students’ STEM Self-Efficacy and Attitudes in Non-Formal Learning Experiences

description: This study explored the science, technology, engineering, and mathematics (STEM) attitudes and self-efficacy of secondary students identifying as Black South African, multi-racial or Afrikaans South African, or Botswana, Namibia and Zimbabwe nationals who participated in a non-formal STEM education camp programme. Using Bandura’s social cognitive theory for self-efficacy and attitude, this study sought to document participants’ STEM self-efficacy and attitudinal factors related to the camp experience. Survey data were collected before and after participants’ participation in the camp and a delayed post-measurement after 18 months of exposure. Results indicated a significant increase in the self-efficacy concept of <i>conceptual understanding</i> over time between the pre-test and delayed post-test; however, there were no indicated differences over time for the other self-efficacy constructs of <i>Higher Order Cognitive Skills</i>, <i>Practical Work</i>, <i>Everyday Application</i> and <i>Science Communication</i>. Analyses of the STEM attitude constructs showed differences between the <i>Twenty-first Century Skills</i> (increase over time from pre-test to delayed post-test) and <i>Your Future</i> (decrease over time from pre-test to delayed post-test) constructs with no differences for <i>Mathematics</i>, <i>Science</i> and <i>Engineering and Technology</i>. Furthermore, there were no detected differences of self-efficacy and attitudes from pre-test to post-test. These findings suggest that participating in a singular, non-formal STEM learning event may not be sufficient to document changes in self-efficacy and attitudes from the pre- to post-learning experience; however, the experience could have been one of many learning events that may have provided an opportunity for supporting South African students’ self-efficacy and attitude growth, especially in <i>Conceptual Understanding</i> and <i>Twenty-first Century Skills</i>.
DOI: 10.6084/m9.figshare.25287695.v1
title: Exploring South African Students’ STEM Self-Efficacy and Attitudes in Non-Formal Learning Experiences

description: This study explored the science, technology, engineering, and mathematics (STEM) attitudes and self-efficacy of secondary students identifying as Black South African, multi-racial or Afrikaans South African, or Botswana, Namibia and Zimbabwe nationals who participated in a non-formal STEM education camp programme. Using Bandura’s social cognitive theory for self-efficacy and attitude, this study sought to document participants’ STEM self-efficacy and attitudinal factors related to the camp experience. Survey data were collected before and after participants’ participation in the camp and a delayed post-measurement after 18 months of exposure. Results indicated a significant increase in the self-efficacy concept of <i>conceptual understanding</i> over time between the pre-test and delayed post-test; however, there were no indicated differences over time for the other self-efficacy constructs of <i>Higher Order Cognitive Skills</i>, <i>Practical Work</i>, <i>Everyday Application</i> and <i>Science Communication</i>. Analyses of the STEM attitude constructs showed differences between the <i>Twenty-first Century Skills</i> (increase over time from pre-test to delayed post-test) and <i>Your Future</i> (decrease over time from pre-test to delayed post-test) constructs with no differences for <i>Mathematics</i>, <i>Science</i> and <i>Engineering and Technology</i>. Furthermore, there were no detected differences of self-efficacy and attitudes from pre-test to post-test. These findings suggest that participating in a singular, non-formal STEM learning event may not be sufficient to document changes in self-efficacy and attitudes from the pre- to post-learning experience; however, the experience could have been one of many learning events that may have provided an opportunity for supporting South African students’ self-efficacy and attitude growth, especially in <i>Conceptual Understanding</i> and <i>Twenty-first Century Skills</i>.
DOI: 10.15468/dl.nwnpxr
title: Occurrence Download

description: A dataset containing 3 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 one of (Tashiroea laisherana (C.L.Yeh & C.R.Yeh) R.C.Zhou & Ying Liu)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001782-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9tx7t
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 one of (Acidosasa guangxiensis Q.H.Dai & C.F.Huang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001783-241126133413365/datasets/export for details.
DOI: 10.15468/dl.mgd6ba
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.37204 -2.51423,31.20926 -2.50522,31.15525 -1.29113,30.37204 -1.27078,30.37204 -2.51423))",
 "TaxonKey is Giraffa tippelskirchi Matschie, 1898"
 ]
}

 The dataset includes 65 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001784-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wg77z6
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acisanthera limnobios (DC.) Triana"
 ]
}

 The dataset includes 292 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001785-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.25296283
title: Genetic diversity and evolution of infectious bronchitis virus (IBV) in South African poultry and that of some neighbouring countries during the 2011-2020

description: Infectious bronchitis virus (IBV) (family <em>Gammacoronavirus)</em> considered to be the most significant diseases that has major economic losses within the poultry industry worldwide. Field isolates (n=385) grown in SPF embryonated chicken eggs at Deltamune (Pty) Laboratory, that originated in commercial flocks were collected from Botswana, Eswatini, Namibia and South Africa’s Eastern Cape, Free State, Gauteng, KwaZulu-Natal, Limpopo, Mpumalanga, North West, and Western Cape provinces from 2011-2020, were analysed in this study. A 745 bp region of the spike protein gene was amplified and sequenced, and phylogenetic analysis was performed. Twenty-four (6,2 %) samples contained mixed sequences from viral coinfections and were not evaluated further. In the remaining 364 isolates, 7 genetic lineages were identified. 184 (50,5%) viruses were identified as GI-19 (QX) strains and 78 (21,4%) as the GI-1 (Mass/H120) strain. 39 (10,7%) samples were identified as the GI-13 (4/91) lineage detected between 2011 and 2019, 29 (8,0%) as the GVI-1 (TC07-2) lineage detected from 2010-2020, 19 (5,2%) as the GI-23 (Var II) lineage from 2019-2020 with single isolates in 2010 and 2015, and 13 (3,6%) as the GI-11 (UFMG/G - Brazil) lineage detected from 2011-2020. Two (0.5%) viruses were closely related to GIV-1 (DE/072/92) lineages but were only isolated in 2011 and 2013. Three viruses from GI-1 and GI-13 may have been recombinants, but further analysis is required to confirm this.
DOI: 10.25403/upresearchdata.25296283.v1
title: Genetic diversity and evolution of infectious bronchitis virus (IBV) in South African poultry and that of some neighbouring countries during the 2011-2020

description: Infectious bronchitis virus (IBV) (family <em>Gammacoronavirus)</em> considered to be the most significant diseases that has major economic losses within the poultry industry worldwide. Field isolates (n=385) grown in SPF embryonated chicken eggs at Deltamune (Pty) Laboratory, that originated in commercial flocks were collected from Botswana, Eswatini, Namibia and South Africa’s Eastern Cape, Free State, Gauteng, KwaZulu-Natal, Limpopo, Mpumalanga, North West, and Western Cape provinces from 2011-2020, were analysed in this study. A 745 bp region of the spike protein gene was amplified and sequenced, and phylogenetic analysis was performed. Twenty-four (6,2 %) samples contained mixed sequences from viral coinfections and were not evaluated further. In the remaining 364 isolates, 7 genetic lineages were identified. 184 (50,5%) viruses were identified as GI-19 (QX) strains and 78 (21,4%) as the GI-1 (Mass/H120) strain. 39 (10,7%) samples were identified as the GI-13 (4/91) lineage detected between 2011 and 2019, 29 (8,0%) as the GVI-1 (TC07-2) lineage detected from 2010-2020, 19 (5,2%) as the GI-23 (Var II) lineage from 2019-2020 with single isolates in 2010 and 2015, and 13 (3,6%) as the GI-11 (UFMG/G - Brazil) lineage detected from 2011-2020. Two (0.5%) viruses were closely related to GIV-1 (DE/072/92) lineages but were only isolated in 2011 and 2013. Three viruses from GI-1 and GI-13 may have been recombinants, but further analysis is required to confirm this.
DOI: 10.5285/66240217-3b3b-48cb-a643-f232514096ef
title: Property Subsidence Assessment dataset 2023_3

description: The BGS PSA dataset provides insurers and homeowners access to a better understanding of the shrink-swell hazard at both the individual property and/or postcode level for Great Britain. It builds upon the GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity.
The user receives GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored  from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity).
Postcode data is also available as a table and shapefiles showing the ‘average’ PSA score for all buildings within the postcode.
The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate this phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level.