cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13237358
title: Factorynet Hackathon Dataset 2024

description: This dataset was for the 2024 ASME-CIE Hackathon featured in this article. The most up to date version of the dataset is hosted on here on Zenodo.
DOI: 10.5281/zenodo.13237359
title: Factorynet Hackathon Dataset 2024
DOI: 10.5281/zenodo.13332887
title: Factorynet Hackathon Dataset 2024

description: This dataset was for the 2024 ASME-CIE Hackathon featured in this article. The most up to date version of the dataset is hosted on here on Zenodo.
DOI: 10.5281/zenodo.14399364
title: Long-term surveillance of Phytophthora cinnamomi reveals no evidence of increased detections and new insights for monitoring and management

description: Dataset of Phytophthora cinnamomi laboratory detections from soil samples, field observations of plant symptoms and environmental variables in Dharawal Reserves and other southern Sydney (Australia) conservation reserves during 2006-2022. 
description: Context 




Phytophthora cinnamomi Rands is an introduced soil-borne pathogen that causes population decline in susceptible species and changes native vegetation compositions. Land managers require information about changing disease incidence, predisposing site factors and potential efficiencies in field identification of the disease. Previous sampling for P. cinnamomi in southern Sydney conservation reserves has provided a framework to monitor pathogen incidence. 




Aims 




We specifically asked: (1) Is the incidence of P. cinnamomi disease intensifying, decreasing or stable? (2) Is visual assessment of disease symptoms at the community or sentinel species level a good predictor of positive P. cinnamomi laboratory assays? (3) Is the incidence of P. cinnamomi related to access, vegetation type, human visitation or landscape position? 




Methods 




We assembled data from historic surveys in Dharawal Reserves in 2008 (n = 26) and 2014 (n = 110) and undertook additional surveys in 2022 (n = 110). We supplemented detections in 2008 with 2006-2008 records from other southern Sydney conservation reserves (n = 147). We used laboratory detection results, field observations of plant symptoms and environmental data to assess trends. 




Key results 




We did not find evidence of increased pathogen incidence over time; however, detection was spatially and temporally variable among sites. Proximity to waterways appeared to increase the likelihood of P. cinnamomi presence. We found differences between visual field assessment of disease expression and laboratory assay of pathogen detection. We observed marginal improvement in detection agreement when we subsetted the data to sites that explicitly identified Xanthorrhoea as potential host species. A sample size analysis indicated considerable increase in sampling effort would be required to detect consequential changes in the long-term P. cinnamomi status. 




Conclusions 




Landscape-scale monitoring of P. cinnamomi incidence requires greater sampling intensity and duration to support reliable inferences about trends. Locally focused management and monitoring efforts, which consider susceptible sentinel species dynamics, may inform the protection of specific assets at risk from infection by P. cinnamomi.
DOI: 10.5281/zenodo.14399365
title: Long-term surveillance of Phytophthora cinnamomi reveals no evidence of increased detections and new insights for monitoring and management

description: Dataset of Phytophthora cinnamomi laboratory detections from soil samples, field observations of plant symptoms and environmental variables in Dharawal Reserves and other southern Sydney (Australia) conservation reserves during 2006-2022. 
description: Context 




Phytophthora cinnamomi Rands is an introduced soil-borne pathogen that causes population decline in susceptible species and changes native vegetation compositions. Land managers require information about changing disease incidence, predisposing site factors and potential efficiencies in field identification of the disease. Previous sampling for P. cinnamomi in southern Sydney conservation reserves has provided a framework to monitor pathogen incidence. 




Aims 




We specifically asked: (1) Is the incidence of P. cinnamomi disease intensifying, decreasing or stable? (2) Is visual assessment of disease symptoms at the community or sentinel species level a good predictor of positive P. cinnamomi laboratory assays? (3) Is the incidence of P. cinnamomi related to access, vegetation type, human visitation or landscape position? 




Methods 




We assembled data from historic surveys in Dharawal Reserves in 2008 (n = 26) and 2014 (n = 110) and undertook additional surveys in 2022 (n = 110). We supplemented detections in 2008 with 2006-2008 records from other southern Sydney conservation reserves (n = 147). We used laboratory detection results, field observations of plant symptoms and environmental data to assess trends. 




Key results 




We did not find evidence of increased pathogen incidence over time; however, detection was spatially and temporally variable among sites. Proximity to waterways appeared to increase the likelihood of P. cinnamomi presence. We found differences between visual field assessment of disease expression and laboratory assay of pathogen detection. We observed marginal improvement in detection agreement when we subsetted the data to sites that explicitly identified Xanthorrhoea as potential host species. A sample size analysis indicated considerable increase in sampling effort would be required to detect consequential changes in the long-term P. cinnamomi status. 




Conclusions 




Landscape-scale monitoring of P. cinnamomi incidence requires greater sampling intensity and duration to support reliable inferences about trends. Locally focused management and monitoring efforts, which consider susceptible sentinel species dynamics, may inform the protection of specific assets at risk from infection by P. cinnamomi.
DOI: 10.17632/khnr5jyych.1
title: Roads, Internal Migration and the Spatial Sorting of U.S. High-Skill Workers

description: This dataset contains the replication package for the article "Roads, Internal Migration and the Spatial Sorting of U.S. High-Skill Workers."
Abstract: This article studies the effects of a major transport infrastructure project, the construction of the U.S. Interstate Highway System (IHS), on the location choices and welfare of high-skill and low-skill workers. In its first part, the article provides reduced-form evidence that the IHS altered the skill composition of metropolitan areas. Event study and instrumental variable regressions show that better-connected cities experienced higher growth in their adult population and share of college-educated residents. Additional results highlight the role played by lower travel times, inter-state migration, and agglomeration economies. The second part of the article rationalizes these patterns using a quantitative spatial model with costly trade, heterogeneous migration costs, and agglomeration economies. Counterfactual experiments show that increasing travel times to their pre-IHS values would lower the expected utility of high-skill workers by an average of 6.1% and that of low-skill workers by 6.4%. These effects exhibit significant variation across cities and, within cities, across skill groups. The findings in this article highlight how transport infrastructure shapes the distribution of skills and the spatial patterns of welfare inequality
DOI: 10.15468/dl.hu859n
title: Occurrence Download

description: A dataset containing 784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptophis mexicanus Duméril, Bibron & Duméril, 1854"
 ]
}

 The dataset includes 784 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030758-241126133413365/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.27984827
title: Questionnaire 1. E-learning in translator training - Trainee survey on motivation and challenges / 1. kérdőív - E-tanulás a fordítóképzésben: felmérés a hallgatói motivációról és kihívásokról

description: As part of the E-LEARNING IN TRANSLATOR TRAINING project, the present survey aimed to explore the motivation of translator trainees to participate in an online rather than traditional training program at the Department of Translation and Interpreting of Eötvös Loránd University (ELTE), as well as the difficulties and challenges they faced during the course of their studies.<b>Published files (English and Hungarian):</b><i> </i><i>E-learning in translatior training - Trainee questionnaire (Pdf)</i><i>Accumulated data of the Trainee Questionnaire (Pdf)</i><i>Detailed quantitative & qualitative data of the Trainee Questionnaire (Excel)</i>Az E-TANULÁS A FORDÍTÓKÉPZÉSBEN projekt részeként a jelen felmérés célja az volt, hogy feltárja a fordítóhallgatók motivációját arra, hogy az Eötvös Loránd Tudományegyetem (ELTE) Fordító és Tolmács Tanszékén nem hagyományos, hanem online képzési programban vegyenek részt, valamint hogy milyen nehézségekkel és kihívásokkal szembesültek tanulmányaik során.<b>Közzétett fájlok (angol és magyar nyelven): </b><i>E-learning a fordítóképzésben - Hallgatói kérdőív (Pdf)</i><i>A Hallgatói kérdőív összesített adatai (Pdf)</i><i>A Hallgatói kérdőív részletes kvantitatív és kvalitatív adatai (Excel)</i>
DOI: 10.60635/c3rg6v
title: Data from - Statistical power and the detection of global change responses: The case of leaf production in old-growth forests

description: Forests sequester a substantial portion of anthropogenic carbon emissions. Many open questions concern how. We address two of these questions (Wright and Calderón 2025). Has leaf and fine litter production changed? And what is the contribution of old-growth forests? We address these questions with long-term records (≥10 years) of total, reproductive, and especially foliar fine litter production from 32 old-growth forests. We expect increases in forest productivity associated with rising atmospheric carbon dioxide concentrations and, in cold climates, with rising temperatures. We evaluate the statistical power of our analysis using simulations of known temporal trends parameterized with sample sizes (number of years) and levels of interannual variation observed for each record. Statistical power is inadequate to detect biologically plausible trends for records lasting less than 20 years. Just four old-growth forests have records of fine litter production lasting longer than 20 years, and these four provide no evidence for increases. Three of the four forests are in central Panama, also have long-term records of wood production, and both components of aboveground production are unchanged over 21 to 38 years. The possibility that recent increases in forest productivity are limited for old-growth forests deserves more attention. Modest interannual variation characterizes fine litter production, and more variable phenomena will require even longer records to evaluate global change responses with sufficient statistical power. The data files and R scripts in this data package recreate the analyses of Wright and Calderón (2025).
 References
 Wright, S. J. and O. Calderón. 2025. Statistical power and the detection of global change responses: The case of leaf production in old-growth forests. Ecology (accepted 28 October 2024; manuscript ECY23-1254.R1)
DOI: 10.6084/m9.figshare.27992804
title: PNI hemodialysis PLOS one data.xlsx

description: <b>Background:</b> End-stage renal disease (ESRD) patients frequently experience protein-energy wasting (PEW), which increases their morbidity and mortality rates.<b>Objective:</b> This study explores the effects of nutritional status and pulmonary function on the short- and long-term mortality of ESRD patients undergoing hemodialysis.<b>Materials and Methods:</b> 67 consecutive ESRD patients on maintenance hemodialysis were included in the study. The primary outcomes were all-cause one-year and five-year mortality. Data on demographic characteristics, comorbidities, and laboratory findings were collected. Pulmonary function tests were conducted along with body composition measurements using bioelectrical impedance analysis (BIA). Malnutrition was assessed using the Prognostic Nutritional Index (PNI).<b>Results:</b> The median age of the patients was 60.9 ± 12.4 years, with 58.3% being male. Pulmonary function parameters (FEV1 and FVC) were significantly associated with short-term mortality. The PNI was a significant predictor of both short-term and long-term mortality. A PNI score ≤ 39.01 was associated with increased short-term mortality (HR: 0.65, 95% CI: 0.48-0.88, p = 0.006), while a score ≤ 40 was linked to increased long-term mortality (HR: 0.80, 95% CI: 0.67-0.95, p = 0.015). Additionally, older age (HR: 1.06, 95% CI: 1.01-1.12, p = 0.021) and higher glomerular filtration rate (GFR) (HR: 1.23, 95% CI: 1.02-1.42, p = 0.024) were related to increased long-term mortality risk.<b>Conclusion:</b> The study demonstrates that PNI, age, and pulmonary function are critical factors influencing the survival of hemodialysis patients. These findings underscore the importance of comprehensive nutritional and pulmonary assessment to improve clinical outcomes in this population.
DOI: 10.6084/m9.figshare.27992804.v2
title: PNI hemodialysis PLOS one data.xlsx

description: <b>Background:</b> End-stage renal disease (ESRD) patients frequently experience protein-energy wasting (PEW), which increases their morbidity and mortality rates.<b>Objective:</b> This study explores the effects of nutritional status and pulmonary function on the short- and long-term mortality of ESRD patients undergoing hemodialysis.<b>Materials and Methods:</b> 67 consecutive ESRD patients on maintenance hemodialysis were included in the study. The primary outcomes were all-cause one-year and five-year mortality. Data on demographic characteristics, comorbidities, and laboratory findings were collected. Pulmonary function tests were conducted along with body composition measurements using bioelectrical impedance analysis (BIA). Malnutrition was assessed using the Prognostic Nutritional Index (PNI).<b>Results:</b> The median age of the patients was 60.9 ± 12.4 years, with 58.3% being male. Pulmonary function parameters (FEV1 and FVC) were significantly associated with short-term mortality. The PNI was a significant predictor of both short-term and long-term mortality. A PNI score ≤ 39.01 was associated with increased short-term mortality (HR: 0.65, 95% CI: 0.48-0.88, p = 0.006), while a score ≤ 40 was linked to increased long-term mortality (HR: 0.80, 95% CI: 0.67-0.95, p = 0.015). Additionally, older age (HR: 1.06, 95% CI: 1.01-1.12, p = 0.021) and higher glomerular filtration rate (GFR) (HR: 1.23, 95% CI: 1.02-1.42, p = 0.024) were related to increased long-term mortality risk.<b>Conclusion:</b> The study demonstrates that PNI, age, and pulmonary function are critical factors influencing the survival of hemodialysis patients. These findings underscore the importance of comprehensive nutritional and pulmonary assessment to improve clinical outcomes in this population.
DOI: 10.6084/m9.figshare.27992804.v1
title: PNI hemodialysis PLOS one data.xlsx

description: <b>Background:</b> End-stage renal disease (ESRD) patients frequently experience protein-energy wasting (PEW), which increases their morbidity and mortality rates.<b>Objective:</b> This study explores the effects of nutritional status and pulmonary function on the short- and long-term mortality of ESRD patients undergoing hemodialysis.<b>Materials and Methods:</b> 67 consecutive ESRD patients on maintenance hemodialysis were included in the study. The primary outcomes were all-cause one-year and five-year mortality. Data on demographic characteristics, comorbidities, and laboratory findings were collected. Pulmonary function tests were conducted along with body composition measurements using bioelectrical impedance analysis (BIA). Malnutrition was assessed using the Prognostic Nutritional Index (PNI).<b>Results:</b> The median age of the patients was 60.9 ± 12.4 years, with 58.3% being male. Pulmonary function parameters (FEV1 and FVC) were significantly associated with short-term mortality. The PNI was a significant predictor of both short-term and long-term mortality. A PNI score ≤ 39.01 was associated with increased short-term mortality (HR: 0.65, 95% CI: 0.48-0.88, p = 0.006), while a score ≤ 40 was linked to increased long-term mortality (HR: 0.80, 95% CI: 0.67-0.95, p = 0.015). Additionally, older age (HR: 1.06, 95% CI: 1.01-1.12, p = 0.021) and higher glomerular filtration rate (GFR) (HR: 1.23, 95% CI: 1.02-1.42, p = 0.024) were related to increased long-term mortality risk.<b>Conclusion:</b> The study demonstrates that PNI, age, and pulmonary function are critical factors influencing the survival of hemodialysis patients. These findings underscore the importance of comprehensive nutritional and pulmonary assessment to improve clinical outcomes in this population.
DOI: 10.15468/dl.8h7u62
title: Occurrence Download

description: A dataset containing 28456 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora of kurgans in the \"Wild Fields\" (Ukraine)"
 ]
}

 The dataset includes 28456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030760-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy8stt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.70341 36.06573,-5.69762 36.06621,-5.69477 36.06788,-5.69866 36.06866,-5.70341 36.06573))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030761-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k45253
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptophis modestus (Günther, 1872)"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030762-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6uyav
title: Occurrence Download

description: A dataset containing 40971 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Louisiana State University, Shirley C. Tucker Herbarium - Lichens"
 ]
}

 The dataset includes 40971 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030763-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13231528
title: Fungal Planet - Phakopsora sageretiae
DOI: 10.5281/zenodo.13231529
title: Fungal Planet - Phakopsora sageretiae
DOI: 10.5281/zenodo.13231702
title: Fungal Planet - Ustilaginoidea cookiorum
DOI: 10.5281/zenodo.13231703
title: Fungal Planet - Ustilaginoidea cookiorum
DOI: 10.13020/3f99-kc21
title: Cardea SOLO and Televet measurements on 12 horses

description: The Cardea SOLOTM (CS) is a single-use monitor with automated ECG analysis software allowing for ECG monitoring for approximately 7 days. ECGs were performed on 12 healthy horses simultaneously using both devices for 24 hours on day 1 and day 7, with the CS left in place for all seven days. Bland-Altman analysis and intraclass correlation were performed to test for agreement between the two devices for standard ECG measurements performed on both ECG traces.
DOI: 10.15468/dl.t7zxt9
title: Occurrence Download

description: A dataset containing 1827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glycaspis brimblecombei Moore, 1964",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1827 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030764-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26188/26410747.v1
title: Correlation Data for Species-Coverage-based Log Representativeness and TLRA

description: This dataset contains the correlation data for species-coverage-based log representativeness measure and Trace-based Log Representativeness Approximation (TLRA) across event logs of 60 generative systems and varying log sizes and noise levels.
DOI: 10.26188/26410486
title: Dataset for Bootstrap Generalization Estimations and Ground Truth Comparison for Discovered Process Models in Process Mining

description: This dataset contains estimated generalization values evaluated using the bootstrap generalization framework and corresponding ground truth values for models, with characteristics of the event logs used for the estimations. The estimated generalization values are compared with the ground truth values to assess the effectiveness of using system estimation techniques such as bootstrapping. The analysis also explores the coverage of various experimental parameters. Detailed information about the experiment is available in ieeexplore.ieee.org/document/10680679.<b>Version 1</b> includes the initial analysis explained in ieeexplore.ieee.org/document/10680679.<b>Version 2</b> extends this analysis with additional data.The dataset used in the experiment, as well as the experimental code, can be accessed at our GitHub repository.We kindly request that you cite our work if you use this dataset in your research:<br><i>A. Karunaratne, A. Polyvyanyy, and A. Moffat, “The role of log representativeness in estimating</i><i> </i><i>generalization in process mining,” in Int. Conf. Process Mining. IEEE, 2024, pp. 33-40.</i><br>
DOI: 10.26188/26410486.v2
title: Dataset for Bootstrap Generalization Estimations and Ground Truth Comparison for Discovered Process Models in Process Mining

description: This dataset contains estimated generalization values evaluated using the bootstrap generalization framework and corresponding ground truth values for models, with characteristics of the event logs used for the estimations. The estimated generalization values are compared with the ground truth values to assess the effectiveness of using system estimation techniques such as bootstrapping. The analysis also explores the coverage of various experimental parameters. Detailed information about the experiment is available in ieeexplore.ieee.org/document/10680679.<b>Version 1</b> includes the initial analysis explained in ieeexplore.ieee.org/document/10680679.<b>Version 2</b> extends this analysis with additional data.The dataset used in the experiment, as well as the experimental code, can be accessed at our GitHub repository.We kindly request that you cite our work if you use this dataset in your research:<br><i>A. Karunaratne, A. Polyvyanyy, and A. Moffat, “The role of log representativeness in estimating</i><i> </i><i>generalization in process mining,” in Int. Conf. Process Mining. IEEE, 2024, pp. 33-40.</i><br>
DOI: 10.5281/zenodo.13363384
title: Fungal Planet - Puccinia stixis
DOI: 10.5281/zenodo.13363385
title: Fungal Planet - Puccinia stixis