cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3nxzbgr6sb.1
title: Splenic fibroblasts control marginal zone B cell movement and function via two distinct Notch2-dependent regulatory programs. Allman et al.

description: This dataset provides supporting material for the manuscript “Splenic fibroblasts control marginal zone B cell movement and function via two distinct Notch2-dependent regulatory programs”. Using genetic and pharmacological approaches we investigated the role of Notch signaling in splenic marginal zone B (MZB) cell homeostasis in mouse models. Combining data generated through flow cytometry, confocal imaging, and RNAseq, we identified stromal sources of Delta-Like1 Notch ligands within splenic white pulp follicles and distinguished between Myc-dependent and Myc-independent branches of the Notch regulated transcriptome within MZB cells. The following dataset represents the confocal images generated in transgenic mouse models, as well as the cell proportions and absolute numbers of cells generated and calculated through flow cytometry.
DOI: 10.15468/dl.5vkrkb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippoglossus grigorjewi Herzenstein, 1890",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058709-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.hing.bvwk
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m110.0_k99_1l_e1
DOI: 10.17632/k6ymrcy33s.1
title: The Triangulation between Shariah Compliance, ESG Transparency, and Firm Profitability

description: All data associated in this folder are derived from the Refinitive Eikon Database except for the dummy variable. 

Dependent Variables
- ROAit (Return on Assets): Measures firms' operational performance (accounting-based) by the ratio of net income to total assets.
- ROEit (Return on Equity): Measures firms' operational performance (accounting-based) by the ratio of net income to total equity.

Independent Variables
- ESGSit: Combined ESG score, ranging from 0 to 100 as a percentage, measuring the company's involvement in ESG practices.
- Envsit: Environmental score, ranging from 0 to 100 as a percentage, measuring the company's involvement in environmental practices.
- Socsit: Social score, ranging from 0 to 100 as a percentage, measuring the company's involvement in social practices.
- Govsit: Governance score, ranging from 0 to 100 as a percentage, measuring the company's involvement in governance practices.
- Leadersit: Dummy variable for ESG Leaders, where 1 represents the highest level of integration between Shariah and ESG screening (leaders), and 0 represents a lower integration of ESG screenings with other Shariah-compliant firms.

Moderating Variables
- ESGS*Leadersit: Interaction of ESG Score with Dummy Variable for ESG Leaders.
- Envs*Leadersit: Interaction of Environmental Score with Dummy Variable for ESG Leaders.
- Socs*Leadersit: Interaction of Social Score with Dummy Variable for ESG Leaders.
- Govs*Leadersit: Interaction of Governance Score with Dummy Variable for ESG Leaders.

Controlling Variables
- SIZEit (Firm Size): Natural logarithms of total assets.
- LEVit (Financial Leverage): The ratio of total debt to equity.
- LIQit (Liquidity): The ratio of total current assets to total current liabilities.
- CAPEXit (Capital Expenditure): Interest expenses from operating cash flow.
DOI: 10.7483/opendata.delphi.hdgt.pirj
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m75.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.m7qs.zlzn
title: DELPHI simulation data xs_hzha03p6156hzqq_e206.7_m115_l99_1l_a1
DOI: 10.7483/opendata.delphi.1n6b.jsw6
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m70.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.hfqt.fa0l
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m70.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.4dz7.a5cn
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m72.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.ou10.w0nw
title: DELPHI simulation data xs_hzha03p6156hzqq_e206.7_m114_l99_1l_a1
DOI: 10.7483/opendata.delphi.5v5f.rp79
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m85.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.vtyh.g1j7
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m110_r99_1l_e1
DOI: 10.7483/opendata.delphi.q6fs.mgnj
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m77.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.hn08.lw6w
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m112.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.t8a5.8lpa
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m87.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.e1sd.m141
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m12_r99_1l_e1
DOI: 10.7483/opendata.delphi.sp0v.8d43
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m85.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.f0fz.8svy
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e191.6_m97.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.2rwz.sqwx
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m92.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.r0u0.wx6g
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m130_r99_1l_e1
DOI: 10.7483/opendata.delphi.i2n3.kxr8
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m100.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.90wm.hmqw
title: DELPHI simulation data xs_hzha03pyth6156hcmm_e191.6_m85.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.87nu.3h8i
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m105.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.alqx.7ukx
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m102.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.8pjw.o18z
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m150_r99_1l_e1
DOI: 10.7483/opendata.delphi.kh81.l3ls
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m77.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.3wcb.u4b6
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m90.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.3frm.5q2o
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m82.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.xtzi.fml7
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m110.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.un4l.o5gh
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m102.5_k99_1l_e1
DOI: 10.15468/dl.rc9dmp
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albatrossia pectoralis (Gilbert, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 289 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058710-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.gosp.44ma
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m107.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.dava.x26k
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m50_r99_1l_e1
DOI: 10.7483/opendata.delphi.c2jt.uvih
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m115.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.cz2f.teh8
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m42.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.mgxl.lagy
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m40.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.59lt.g742
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m42.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.wypi.7jl9
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m30_r99_1l_e1
DOI: 10.17632/3jkz8h47s9.1
title: Pseudocercospora euonymicola sequences alighment and raw trees format

description: Pseudocercospora euonymicola sequences alighment and raw trees format
DOI: 10.7483/opendata.delphi.ybrb.o0dx
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e199.5_m45.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.r3ys.k2ia
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m97.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.rcl6.8lkf
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m45.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.7a55.yfo3
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m170_r99_1l_e1
DOI: 10.7483/opendata.delphi.ur0t.9f1w
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m80.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.iu7z.94mk
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m55.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.lub7.2w2h
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m95.0_k99_1l_e1
DOI: 10.7483/opendata.delphi.okm8.uk5r
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m87.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.uc0a.ikqc
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m52.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.3g5y.glw4
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m70_r99_1l_e1
DOI: 10.7483/opendata.delphi.zuuo.ywd3
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m62.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.hc85.y1dh
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e191.6_m12_m90_r99_1l_e1
DOI: 10.7483/opendata.delphi.i5hp.wqrg
title: DELPHI simulation data xs_hzha03pyth6156hcnn_e195.5_m67.5_k99_1l_e1
DOI: 10.7483/opendata.delphi.fndu.01dg
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m24_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.kdqw.cprc
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m120.0_c99_1l_e1
DOI: 10.7483/opendata.delphi.4rqs.q0p6
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m15_c99_1l_e1
DOI: 10.7483/opendata.delphi.qho4.pqpg
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.3xie.b978
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m40_c99_1l_e1
DOI: 10.15468/dl.3a3v6k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrurus pectoralis Gilbert, 1892",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058711-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.qa1o.7n4q
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m20_c99_1l_e1
DOI: 10.7483/opendata.delphi.druo.6h3g
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m60_c99_1l_e1
DOI: 10.7483/opendata.delphi.bna1.6alv
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m25_c99_1l_e1
DOI: 10.7483/opendata.delphi.t5nw.al3a
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m45_c99_1l_e1
DOI: 10.7483/opendata.delphi.fjet.bhpe
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m30_c99_1l_e1
DOI: 10.5281/zenodo.13227189
title: Data and code from "COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males"

description: Data and code used to perform analyses published in the research article "COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males" which is currently in press in the Proceedings of the National Academy of Sciences, USA. (https://doi.org/10.1073/pnas.2403200121).
DOI: 10.5281/zenodo.14606238
title: Data and code from "COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males"

description: Data and code used to perform analyses published in the research article "COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males" which is currently in press in the Proceedings of the National Academy of Sciences, USA. (https://doi.org/10.1073/pnas.2403200121).
DOI: 10.7483/opendata.delphi.eely.eoch
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m24_m24_c99_1l_e1
DOI: 10.7483/opendata.delphi.qk50.jq7q
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m55_c99_1l_e1
DOI: 10.7483/opendata.delphi.s2ai.6gps
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m35_c99_1l_e1
DOI: 10.7483/opendata.delphi.ggip.3kwx
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m85_c99_1l_e1
DOI: 10.7483/opendata.delphi.u3lm.xjlx
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.4slr.3cge
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.fuks.1671
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m65_c99_1l_e1
DOI: 10.7483/opendata.delphi.k8fw.lo75
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m45_c99_1l_e1
DOI: 10.7483/opendata.delphi.tpop.ix4b
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m75_c99_1l_e1
DOI: 10.7483/opendata.delphi.o7t8.8l1l
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m4_c99_1l_e1
DOI: 10.17632/zctnrgp5tr.1
title: The Reference List for Triangulation between Shariah Compliance, ESG Transparency, and Firm Profitability

description: The Reference List for Triangulation between Shariah Compliance, ESG Transparency, and Firm Profitability
DOI: 10.7483/opendata.delphi.9orq.s6oz
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m150_c99_1l_e1
DOI: 10.17632/bbbkby47hh.1
title: Chemometric model Pullulan quantification

description: The data set contains spectral data (UV-Vis) for Pullulan prepared at different concentrations in distilled water or in culture medium. The dataset also includes the codes for chemometric tools used for variable selection for each data sets.
DOI: 10.17632/5gwrybyzgs.1
title: Dyslexia in the language of applied linguistics: More ableism- or neurodiversity-like?

description: The present study investigated the use of terms related to dyslexia in applied linguistics journals to examine the extent to which they are (non)discriminatory in light of the deficit model, ableism, neurodiversity, and the interactional view of disabilities. The corpus for the analysis consisted of 405 papers published in 25 top-ranked academic journals in the language and linguistics field between 1990 and 2023. The analysis considered the ableist, neutral, and neurodiversity language usage related to the terms ‘dyslexia and dyslexic’. We found that most language usage was ableism-like, which led us to propose recommendations for language use that are fairer and without unnecessary labelling of language learners with dyslexia, considering the various effects of dyslexia across languages, identity, and reflexive positioning.
DOI: 10.7483/opendata.delphi.vqvp.049r
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m70_c99_1l_e1
DOI: 10.17632/x8993tp37b.1
title: Evaluating Service Quality in Higher Education Institutions: A SERVQUAL-Based Study with Structural Equation Modeling in Uzbekistan

description: Evaluating Service Quality in Higher Education Institutions: A SERVQUAL-Based Study with Structural Equation Modeling in Uzbekistan
https://cmjjournal.com/volume-10-issue-1-2025/

https://www.scopus.com/sourceid/21100372440

27 Pages Posted: Last revised: 6 Jan 2025
Abbos Utkirov
Westminster International University in Tashkent

Date Written: January 06, 2025

Abstract
This study evaluates service quality in higher education institutions (HEIs) in Uzbekistan using the
SERVQUAL model, focusing on dimensions such as Tangibility, Reliability, Responsiveness,
Assurance, and Empathy. A structured questionnaire assessed students' perceptions of academic
and non-academic services. The analysis confirmed the validity of the SERVQUAL dimensions
and highlighted their significant role in influencing overall service quality. Structural equation
modeling (SEM) revealed significant relationships between Assurance, Empathy, Responsiveness,
Tangibility, and service quality. The findings emphasize the importance of aligning HEI services
with student needs to enhance satisfaction and motivation, providing actionable insights for
improving service delivery and serving as a framework for future research.

Keywords: Service Quality, Higher Education Institutions (HEIs), SERVQUAL Model, Student Satisfaction, Exploratory Factor Analysis (EFA), Reliability Analysis, SEM
DOI: 10.7483/opendata.delphi.z6dy.sj7r
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e195.5_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.a2ja.w7k4
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m80_c99_1l_e1
DOI: 10.7483/opendata.delphi.lmka.rwn5
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m80_c99_1l_e1
DOI: 10.7483/opendata.delphi.3itq.kjj8
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m10_c99_1l_e1
DOI: 10.7483/opendata.delphi.v7mi.9hpq
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m90_c99_1l_e1
DOI: 10.7483/opendata.delphi.l8fn.v9l4
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m15_c99_1l_e1
DOI: 10.7483/opendata.delphi.n7kg.k9kw
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m85_c99_1l_e1
DOI: 10.7483/opendata.delphi.9fg7.6c2w
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m30_c99_1l_e1
DOI: 10.7483/opendata.delphi.v5u1.bl29
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m110_c99_1l_e1
DOI: 10.7483/opendata.delphi.sz0s.07xp
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m92.5_c99_1l_e1
DOI: 10.7483/opendata.delphi.xffl.hsbz
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m25_c99_1l_e1
DOI: 10.15468/dl.dgpwc9
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaenoides pectoralis (Gilbert, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058712-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.oqzf.ujjn
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m70_c99_1l_e1
DOI: 10.7483/opendata.delphi.xi21.72a9
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m97.5_c99_1l_e1
DOI: 10.7483/opendata.delphi.c8j6.3mn5
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m20_c99_1l_e1
DOI: 10.7483/opendata.delphi.sr15.yj7t
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e201.6_m95_c99_1l_e1
DOI: 10.7483/opendata.delphi.fchx.yx9l
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m35_c99_1l_e1
DOI: 10.7483/opendata.delphi.vmwb.dfhl
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m102.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.5z4x.o03d
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.nbrl.7rn0
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m130_c99_1l_e1
DOI: 10.7483/opendata.delphi.jgif.g7nr
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m100_r99_1l_e1
DOI: 10.7483/opendata.delphi.g8fr.4c63
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m45_c99_1l_e1
DOI: 10.7483/opendata.delphi.tb6f.8mld
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m100_c99_1l_e1
DOI: 10.7483/opendata.delphi.yv6g.88ex
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m105_r99_1l_e1
DOI: 10.7483/opendata.delphi.17je.jn0r
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.0k25.xm27
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m112.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.cznr.1tqk
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e199.5_m4_c99_1l_e1
DOI: 10.7483/opendata.delphi.sik7.ja22
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m110_r99_1l_e1
DOI: 10.7483/opendata.delphi.2hl1.9630
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m10_c99_1l_e1
DOI: 10.7483/opendata.delphi.ia9g.uoue
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m30_c99_1l_e1
DOI: 10.15468/dl.8pesj3
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-350.0",
 "Country is Argentina",
 "TaxonKey is Loasaceae"
 ]
}

 The dataset includes 298 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058713-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.2vvs.or8e
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m107.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.opie.wfcd
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m15_c99_1l_e1
DOI: 10.7483/opendata.delphi.tmfs.r2rm
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m95_c99_1l_e1
DOI: 10.7483/opendata.delphi.21cc.du1e
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m40_r99_1l_e1
DOI: 10.17632/zs2mbjv7dn.1
title: Biased sampling confounds machine learning prediction of antimicrobial resistance

description: Antimicrobial resistance (AMR) poses a growing threat to human health. Increasingly, genome sequencing is being applied for surveillance of bacterial pathogens, producing a wealth of data to train machine learning (ML) applications to predict AMR and identify resistance determinants. However, bacterial populations are highly structured and sampling is biased towards human disease isolates, meaning samples and derived features are not independent. This is rarely considered in applications of ML to AMR. Here, we demonstrate the confounding effects of sample structure by collecting over 24,000 whole genome sequences and AMR phenotypes from five diverse pathogens and constructing realistic pathological training data where resistance is confounded with phylogeny. We show resulting ML models perform poorly, and increasing the training sample size fails to rescue performance. A comprehensive analysis of 6,740 models identifies species- and drug-specific effects on model accuracy. We provide concrete recommendations for evaluating future ML approaches to AMR.
DOI: 10.7483/opendata.delphi.v1m6.joqq
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m25_c99_1l_e1
DOI: 10.15468/dl.wxqkm7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caranx muroadsi Temminck & Schlegel, 1844",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058714-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.j3ht.9u1h
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m120.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.qlwx.bu3m
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m20_c99_1l_e1
DOI: 10.7483/opendata.delphi.bhzh.8yz8
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m45_r99_1l_e1
DOI: 10.7483/opendata.delphi.zmqt.pol8
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m30_c99_1l_e1
DOI: 10.5281/zenodo.14603252
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 1

description: LENS dataset 2024-02 Part 1

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.
DOI: 10.5281/zenodo.14603253
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 1

description: LENS dataset 2024-02 Part 1

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.