cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29092168
title: The effects of information and communication technology (ICT) implementation on psychophysiological markers of stress: a systematic review

description: Enhanced chronic stress levels among employees and increasing implementation of information and communication technologies (ICTs) are parallel developments. The present review aims to enhance knowledge on the association between ICT implementations and individual psychophysiological stress as well as modulating factors. Following the PRISMA guidelines, a systematic review was performed November 13th 2023. Included were (1) original studies in (2) English language, (3) peer-reviewed journal articles with (4) ICT implementations at the workplace (5) throughout the course of the study and (6) psychophysiological stress measurements (7) at two measurement points. The 14 studies included show an immediate ICT implementation-related elevation in psychological stress and reduced psychological stress over time. Increases in physiological stress markers tend to occur at a greater time lag. Office workers were identified as most affected by ICT implementation induced stress. Adapting ICT interfaces, influence over work and training were beneficial, while monotonous, less qualified work and negative attitudes toward ICTs increased stress. Both, beneficial and detrimental effects of ICT implementations on individual stress levels are modulated by time lag to implementation, as well as individual, occupational, and ICT-related factors. Methodological weaknesses of previous research underline the importance of future longitudinal studies accompanying ICT implementation processes.
DOI: 10.6084/m9.figshare.29092168.v1
title: The effects of information and communication technology (ICT) implementation on psychophysiological markers of stress: a systematic review

description: Enhanced chronic stress levels among employees and increasing implementation of information and communication technologies (ICTs) are parallel developments. The present review aims to enhance knowledge on the association between ICT implementations and individual psychophysiological stress as well as modulating factors. Following the PRISMA guidelines, a systematic review was performed November 13th 2023. Included were (1) original studies in (2) English language, (3) peer-reviewed journal articles with (4) ICT implementations at the workplace (5) throughout the course of the study and (6) psychophysiological stress measurements (7) at two measurement points. The 14 studies included show an immediate ICT implementation-related elevation in psychological stress and reduced psychological stress over time. Increases in physiological stress markers tend to occur at a greater time lag. Office workers were identified as most affected by ICT implementation induced stress. Adapting ICT interfaces, influence over work and training were beneficial, while monotonous, less qualified work and negative attitudes toward ICTs increased stress. Both, beneficial and detrimental effects of ICT implementations on individual stress levels are modulated by time lag to implementation, as well as individual, occupational, and ICT-related factors. Methodological weaknesses of previous research underline the importance of future longitudinal studies accompanying ICT implementation processes.
DOI: 10.15468/dl.n77qzz
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample)",
 "TaxonKey is Julbernardia paniculata",
 "Year 1970-2024"
 ]
}

 The dataset includes 184 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011940-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qryp4g
title: Occurrence Download

description: A dataset containing 1134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiostoma ulmi"
 ]
}

 The dataset includes 1134 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011941-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3aty2
title: Occurrence Download

description: A dataset containing 13374 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bees of Portugal Collection, Science Museum of the University of Coimbra"
 ]
}

 The dataset includes 13374 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011942-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8epdm
title: Occurrence Download

description: A dataset containing 47416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.40204 48.81471,2.47086 48.81471,2.47086 48.84512,2.40204 48.84512,2.40204 48.81471))",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862"
 ]
}

 The dataset includes 47416 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011939-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/12777259-c2f6-4b44-b71f-eec5557824d1
title: Scripts and data for PRADS publication that varies the acquisition function of the Adaptive Screening method

description: This repository can be used to re-generate the results in the paper referenced below. Abstract of the paper: "The Adaptive Screening extreme value prediction method defined in \cite{VS2025} was applied to three cases, predicting most probable maximum values in a given duration. We used either Gaussian Process Regression (GPR) or its multi-fidelity form (MF-GPR) for the regression, and compared seven acquisition functions for the adaptive sampling. The results were judged based on several performance metrics, of which the required number of HF samples for convergence is the most important one. The results of this exercise show that the best option is to use Adaptive Screening with MF-GPR and an acquisition function that balances obtaining new samples around the probability of interest and the tail of the distribution. If the use of MF-GPR is not feasible for any reason, it should be replaced with GPR (or Generalised Pareto fitting) combined with an acquisition function that selects new samples based on the largest probability gap from the existing samples."Van Essen, S.M. and Seyffert, H.C. (2025). Designing ships for extreme non-linear responses - the role of the acquisition function in the Adaptive Screening method. 16th Practical Design of Ships and other Floating Structures (PRADS) Conference, 19-23 Oct, Ann Arbor, USA.
DOI: 10.4121/12777259-c2f6-4b44-b71f-eec5557824d1.v2
title: Scripts and data for PRADS publication that varies the acquisition function of the Adaptive Screening method

description: This repository can be used to re-generate the results in the paper referenced below. Abstract of the paper: "The Adaptive Screening extreme value prediction method defined in \cite{VS2025} was applied to three cases, predicting most probable maximum values in a given duration. We used either Gaussian Process Regression (GPR) or its multi-fidelity form (MF-GPR) for the regression, and compared seven acquisition functions for the adaptive sampling. The results were judged based on several performance metrics, of which the required number of HF samples for convergence is the most important one. The results of this exercise show that the best option is to use Adaptive Screening with MF-GPR and an acquisition function that balances obtaining new samples around the probability of interest and the tail of the distribution. If the use of MF-GPR is not feasible for any reason, it should be replaced with GPR (or Generalised Pareto fitting) combined with an acquisition function that selects new samples based on the largest probability gap from the existing samples."Van Essen, S.M. and Seyffert, H.C. (2025). Designing ships for extreme non-linear responses - the role of the acquisition function in the Adaptive Screening method. 16th Practical Design of Ships and other Floating Structures (PRADS) Conference, 19-23 Oct, Ann Arbor, USA.
DOI: 10.15468/dl.8dmzjr
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Hippeastrum morelianum, Amaryllis atibaya, Amaryllis damaziana, Amaryllis lavrensis, Hippeastrum atibaya, Hippeastrum damazianum, Hippeastrum lavrense, Amaryllis moreliana)"
 ]
}

 The dataset includes 292 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011943-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/f1348609-c912-4d06-82b8-197c01f3437b
title: Scripts and data underlying the publication that defines and applies the new Adaptive Screening method, for extreme value prediction of non-linear wave-induced responses

description: This set of scripts and data files can be used to re-generate the Adaptive Screening method and the three applications described in the paper "Designing for dangerous waves – a new ‘Adaptive Screening’ method to predict extreme values of non-linear marine and coastal structure responses to waves".<br>Predicting extreme values of strongly non-linear hydrodynamic responses (such as wave impact loads) is crucial for ensuring the safety and reliability of marine and coastal structures. However, this task is challenging due to the complexity and rarity of these responses. Existing methods are often limited to weakly non-linear responses or are very computationally expensive. This paper presents a new multi-fidelity method called ‘Adaptive Screening’, designed to efficiently predict extreme values of strongly non-linear wave-induced responses. Predicting these values is a critical element of structural design and reliability analysis. Adaptive Screening combines elements of screening, multi-fidelity Gaussian Process Regression, and adaptive sampling. We validate its effectiveness through three applications: predicting the most probable maxima of second-orderwave crests, vertical bending moments on a ferry, and greenwater impact loads on a containership. Our results demonstrate that Adaptive Screening outperforms conventional brute force methods, achieving comparable accuracy in predicting extreme values while significantlyreducing high-fidelity simulation times (especially for the most non-linear cases). Like many alternative methods, Adaptive Screening relies on a response-dependent low-fidelity indicator variable. We also show that the method performs well with realistic indicators for a range of applications. The test cases indicate that Adaptive Screening is very promising for the strongly non-linear responses it was designed for.
DOI: 10.4121/f1348609-c912-4d06-82b8-197c01f3437b.v5
title: Scripts and data underlying the publication that defines and applies the new Adaptive Screening method, for extreme value prediction of non-linear wave-induced responses

description: This set of scripts and data files can be used to re-generate the Adaptive Screening method and the three applications described in the paper "Designing for dangerous waves – a new ‘Adaptive Screening’ method to predict extreme values of non-linear marine and coastal structure responses to waves".<br>Predicting extreme values of strongly non-linear hydrodynamic responses (such as wave impact loads) is crucial for ensuring the safety and reliability of marine and coastal structures. However, this task is challenging due to the complexity and rarity of these responses. Existing methods are often limited to weakly non-linear responses or are very computationally expensive. This paper presents a new multi-fidelity method called ‘Adaptive Screening’, designed to efficiently predict extreme values of strongly non-linear wave-induced responses. Predicting these values is a critical element of structural design and reliability analysis. Adaptive Screening combines elements of screening, multi-fidelity Gaussian Process Regression, and adaptive sampling. We validate its effectiveness through three applications: predicting the most probable maxima of second-orderwave crests, vertical bending moments on a ferry, and greenwater impact loads on a containership. Our results demonstrate that Adaptive Screening outperforms conventional brute force methods, achieving comparable accuracy in predicting extreme values while significantlyreducing high-fidelity simulation times (especially for the most non-linear cases). Like many alternative methods, Adaptive Screening relies on a response-dependent low-fidelity indicator variable. We also show that the method performs well with realistic indicators for a range of applications. The test cases indicate that Adaptive Screening is very promising for the strongly non-linear responses it was designed for.
DOI: 10.15468/dl.yaubq5
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Felis nigripes"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/3tmgj
title: Field data for developing miscanthus seed plug establishment with mulch film for commercial upscaling

description: Links to the paper DEVELOPING MISCANTHUS SEED PLUG ESTABLISHMENT PROTOCOLS WITH MULCH FILM FOR COMMERCIAL UPSCALING
DOI: 10.48723/313d-dd68
title: DNA sequencing data for "Stable clonal contribution of lineage-restricted stem cells to human hematopoiesis"
title: DNA-sekvenseringsdata för "Stabilt klonalt bidrag från härstamningsbegränsade stamceller till mänsklig hematopoies"

description: This dataset contains three types of DNA sequencing data.
-Error-corrected DNA capture sequencing (ECTS)
-Bulk whole-exome sequencing (WES)
-Single-colony whole-genome sequencing (WGS)
All sequencing was performed on an Illumina NovaSeq 6000 at the National Genomics Infrastructure in
Stockholm, using paired-end sequencing mode.

ECTS
Bone marrow mononuclear cells isolated from all 93 healthy donors were subjected to ECTS for identification of somatic mutations targeted to 23 genes encompassing the most recurrently mutated genes reported in clonal hematopoiesis.

WES
BM MNC DNA isolated from the first visit from 20 healthy donors above 71 years was subjected bulk WES. Paired buccal swab DNA was used for normal controls.

Single colony WGS
DNA extracted from 333 genotyped single colonies and 10 control buccal swabs from 10 donors was subjected to WGS.

The dataset consists of three folders:
scWGS contains 343 files in CRAM format, totaling approximately 16.3 TiB (17.9 TB).
WES contains 40 files in CRAM format, totaling approximately 650 GiB (710 GB).
ECTS contains 117 files in CRAM format, totaling approximately 18 GiB (20 GB).
description: Detta dataset innehåller tre typer av DNA-sekvenseringsdata.
-Error-corrected DNA capture sequencing (ECTS)
-Bulk whole-exome sequencing (WES)
-Single-colony whole-genome sequencing (WGS)
All sekvensering utfördes på en Illumina NovaSeq 6000 vid National Genomics Infrastructure i Stockholm, med hjälp av "paired-end sequencing mode".

ECTS
Mononukleära benmärgsceller isolerade från alla 93 friska donatorer utsattes för ECTS för identifiering av somatiska mutationer riktade mot 23 gener som omfattar de mest återkommande muterade generna som rapporterats i klonal hematopoes.

WES
BM MNC-DNA isolerat från det första besöket från 20 friska donatorer över 71 år utsattes för WES i bulk. Parat buckalt swab-DNA användes för normala kontroller.

Enkelkoloni WGS
DNA extraherat från 333 genotypade enskilda kolonier och 10 kontroll-buckala pinnprover från 10 donatorer genomgick WGS.

Datasetet består av tre mappar:
scWGS innehåller 343 filer i format CRAM totalt cirka 16.3 TiB (17.9 TB).
WES innehåller 40 filer i format CRAM totalt cirka 650 GiB (710 GB).
ECTS innehåller 117 filer i format CRAM totalt cirka 18 GiB (20 GB).
DOI: 10.48723/hy41-km61
title: DNA sequencing data for "Stable clonal contribution of lineage-restricted stem cells to human hematopoiesis"
title: DNA-sekvenseringsdata för "Stabilt klonalt bidrag från härstamningsbegränsade stamceller till mänsklig hematopoies"

description: This dataset contains three types of DNA sequencing data.
-Error-corrected DNA capture sequencing (ECTS)
-Bulk whole-exome sequencing (WES)
-Single-colony whole-genome sequencing (WGS)
All sequencing was performed on an Illumina NovaSeq 6000 at the National Genomics Infrastructure in
Stockholm, using paired-end sequencing mode.

ECTS
Bone marrow mononuclear cells isolated from all 93 healthy donors were subjected to ECTS for identification of somatic mutations targeted to 23 genes encompassing the most recurrently mutated genes reported in clonal hematopoiesis.

WES
BM MNC DNA isolated from the first visit from 20 healthy donors above 71 years was subjected bulk WES. Paired buccal swab DNA was used for normal controls.

Single colony WGS
DNA extracted from 333 genotyped single colonies and 10 control buccal swabs from 10 donors was subjected to WGS.

The dataset consists of three folders:
scWGS contains 343 files in CRAM format, totaling approximately 16.3 TiB (17.9 TB).
WES contains 40 files in CRAM format, totaling approximately 650 GiB (710 GB).
ECTS contains 117 files in CRAM format, totaling approximately 18 GiB (20 GB).
description: Detta dataset innehåller tre typer av DNA-sekvenseringsdata.
-Error-corrected DNA capture sequencing (ECTS)
-Bulk whole-exome sequencing (WES)
-Single-colony whole-genome sequencing (WGS)
All sekvensering utfördes på en Illumina NovaSeq 6000 vid National Genomics Infrastructure i Stockholm, med hjälp av "paired-end sequencing mode".

ECTS
Mononukleära benmärgsceller isolerade från alla 93 friska donatorer utsattes för ECTS för identifiering av somatiska mutationer riktade mot 23 gener som omfattar de mest återkommande muterade generna som rapporterats i klonal hematopoes.

WES
BM MNC-DNA isolerat från det första besöket från 20 friska donatorer över 71 år utsattes för WES i bulk. Parat buckalt swab-DNA användes för normala kontroller.

Enkelkoloni WGS
DNA extraherat från 333 genotypade enskilda kolonier och 10 kontroll-buckala pinnprover från 10 donatorer genomgick WGS.

Datasetet består av tre mappar:
scWGS innehåller 343 filer i format CRAM totalt cirka 16.3 TiB (17.9 TB).
WES innehåller 40 filer i format CRAM totalt cirka 650 GiB (710 GB).
ECTS innehåller 117 filer i format CRAM totalt cirka 18 GiB (20 GB).
DOI: 10.15468/dl.v7gz2z
title: Occurrence Download

description: A dataset containing 21036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.26362 0.43186,113.67701 0.43186,113.67701 1.93906,111.26362 1.93906,111.26362 0.43186))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21036 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011946-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nz73fq
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.43937 34.9029,-120.43922 34.9029,-120.43922 34.90303,-120.43937 34.90303,-120.43937 34.9029))",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas platyrhynchos"
 ]
}

 The dataset includes 923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011948-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17736865
title: PHI-OCR: Medical Image Dataset with Protected Health Information (PHI) Text Overlays

description: Medical image dataset with synthetically overlaid Protected Health Information (PHI) text for OCR research. This dataset contains radiology images with various types of text overlays which include PHI, such as patient names, dates, and IDs.
DOI: 10.5281/zenodo.17736866
title: PHI-OCR: Medical Image Dataset with Protected Health Information (PHI) Text Overlays

description: Medical image dataset with synthetically overlaid Protected Health Information (PHI) text for OCR research. This dataset contains radiology images with various types of text overlays which include PHI, such as patient names, dates, and IDs.
DOI: 10.5284/1133125
title: Digital Archive from an Archaeological Evaluation at 72-78 Military Road, Colchester, Essex, February 2024

description: This collection comprises site images and records, a report, and a CAD vector drawing from an archaeological evaluation at 72-78 Military Road, Colchester, Essex. The works were carried out by Colchester Archaeological Trust in February 2024. Investigations at the site revealed two possible prehistoric ditches, post-medieval and modern pits, and modern structural remains dating to the mid-19th century including a backfilled cellar.
DOI: 10.15468/dl.7rzac3
title: Occurrence Download

description: A dataset containing 6989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ophiostoma novo-ulmi"
 ]
}

 The dataset includes 6989 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011949-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea65sr
title: Occurrence Download

description: A dataset containing 32698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Apamea monoglypha"
 ]
}

 The dataset includes 32698 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.