cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11176944
title: Dataset - Open Source Software in Data Science (Survey: 1st iteration)

description: This upload includes an anonymized data set of a survey first launched in 2022. The survey has been revised since.
DOI: 10.5281/zenodo.11176945
title: Dataset - Open Source Software in Data Science (Survey: 1st iteration)

description: This upload includes an anonymized data set of a survey first launched in 2022. The survey has been revised since.
DOI: 10.15468/dl.ryre4w
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocles orientalis"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008012-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq9wm9
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor mayensis"
 ]
}

 The dataset includes 39 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008011-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17713290
title: Codes - Open Source Software in Data Science (Survey: 1st iteration)

description: This upload includes the codes and quotations as derived from the qualitative analysis (method: inductive categorization) of this dataset: https://zenodo.org/records/11176945
DOI: 10.5281/zenodo.17713289
title: Codes - Open Source Software in Data Science (Survey: 1st iteration)

description: This upload includes the codes and quotations as derived from the qualitative analysis (method: inductive categorization) of this dataset: https://zenodo.org/records/11176945
DOI: 10.3886/e226222
title: Data and code for: Downward Rigidity in the Wage for New Hires

description: Wage rigidity is an important explanation for unemployment fluctuations. In benchmark
models wages for new hires are key, but there is limited evidence on this margin. We use
wages posted on vacancies, with job and establishment information, to measure the wage for
new hires. We show that our measure of the wage for new hires is rigid downward and flexible
upward, in two steps. First, wages change infrequently at the job level, and fall especially
rarely. Second, wages do not respond to rises in unemployment, but respond strongly to falls
in unemployment. Job information is crucial for detecting downward rigidity.
DOI: 10.3886/e226222v1
title: Data and code for: Downward Rigidity in the Wage for New Hires

description: Wage rigidity is an important explanation for unemployment fluctuations. In benchmark
models wages for new hires are key, but there is limited evidence on this margin. We use
wages posted on vacancies, with job and establishment information, to measure the wage for
new hires. We show that our measure of the wage for new hires is rigid downward and flexible
upward, in two steps. First, wages change infrequently at the job level, and fall especially
rarely. Second, wages do not respond to rises in unemployment, but respond strongly to falls
in unemployment. Job information is crucial for detecting downward rigidity.
DOI: 10.15468/dl.avm4kp
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Sex is Female",
 "TaxonKey is Rhincodon",
 "Year 1840-2025"
 ]
}

 The dataset includes 309 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17713721
title: Questionnaire
title: Questionnaire_CIDISTEP
DOI: 10.5281/zenodo.17713720
title: Questionnaire
title: Questionnaire_CIDISTEP
DOI: 10.15468/dl.86vgqt
title: Occurrence Download

description: A dataset listing the 10638 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10638 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008002-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sfz2y
title: Occurrence Download

description: A dataset containing 2953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.04626 42.74855,0.05013 42.74825,0.05219 42.74919,0.05293 42.75142,0.05257 42.75217,0.05099 42.75259,0.05186 42.75249,0.05205 42.75313,0.05072 42.75383,0.05027 42.75485,0.04831 42.7546,0.04726 42.75369,0.04652 42.75103,0.04626 42.74855))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2953 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008015-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17713754
title: CLINICAL PICTURE AND ASSESSMENT OF COGNITIVE AND NEUROPSYCHOLOGICAL DISORDERS IN TIA
DOI: 10.5281/zenodo.17713753
title: CLINICAL PICTURE AND ASSESSMENT OF COGNITIVE AND NEUROPSYCHOLOGICAL DISORDERS IN TIA
DOI: 10.15468/dl.8924g2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.96626 5.92499,94.29736 4.90197,95.6745 3.80026,97.62217 2.12802,99.23538 -0.40985,102.08803 -4.61996,104.27178 -6.80371,105.8063 -6.23318,107.20312 -2.65262,105.23577 -0.7443,103.99635 0.49512,102.36346 1.28206,100.2584 3.13136,97.18935 5.96433,94.96626 5.92499))",
 "TaxonKey is Walsura"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008016-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuwa43
title: Occurrence Download

description: A dataset containing 4181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glossophaga longirostris"
 ]
}

 The dataset includes 4181 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008017-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqu38g
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Thailand",
 "GadmGid is THA.11.10.4_1",
 "OccurrenceStatus is Present",
 "Year 1000-2025"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008019-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpsfm8
title: Occurrence Download

description: A dataset containing 274017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "Year 2019-2025"
 ]
}

 The dataset includes 274017 records from 812 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007988-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ht436
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016119-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbtdrk
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhizophora samoensis"
 ]
}

 The dataset includes 47 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010057-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17725657
title: figure and data
DOI: 10.5281/zenodo.17725656
title: figure and data
DOI: 10.5281/zenodo.15420259
title: Dataset from: Assessing the Role of Tropical Cyclones on Drought Characteristics in the Hurricane Region of the Americas between 1983 and 2024

description: README:

Dataset from: Assessing the Role of Tropical Cyclones on Drought Characteristics in the Hurricane Region of the Americas between 1983 and 2024

This file describes the netCDF files used in Herrera et al. (2025): On the Interaction of Drought and Tropical Cyclones in the Hurricane Region of the Americas. (NetCDF) stands for Network Common Data Form, which is a standardized data format commonly used for sharing data in the Geosciences. Our files are written in netCDF version 4 (netCDF4), and they can be read in common programming languages such as Python, Matlab, R, NCL, C++, and others.

The datasets span from 1984-01-01 to 2023-12-31, and include the drought indices files supporting this work. Such indices are the Standardized Precipitation minus Evaporation Index (SPEI; Vicente-Serrano, et al. 2010), the “self-calibrated” Palmer Drought Severity Index (scPDSI; Palmer, 1965; Wells et al., 2004). 

File variables:

Each drought metric netCDF file includes the following variables:

    [0] time

    [1] latitude

    [2] longitude

    [3] climate_variable

time: A list of monthly values presented in days since January 1st 1984 at 00:00:00. For example, January of 1950 is therefore 365, February of 1950 is 396, and so on. 

latitude: A list of latitude values presented in degrees North.

longitude: A list of longitude values presented in degrees West.

climate_variable: variables include the drought metrics and precipitation used in this work (unitless and in mm/month). The variables are 'precip' or '__xarray_dataarray_variable__'

 

References:

1.     McKee, T.B., Doesken, N.J. and Kleist, J. (1993), January. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179-183).

2.     Palmer, W.C. (1965). Meteorological drought (Vol. 30). US Department of Commerce, Weather Bureau.

3.     Vicente-Serrano, S.M., Beguería, S. and López-Moreno, J.I. (2010). A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of Climate, 23(7), pp.1696-1718.

4.     Wells, N., Goddard, S. and Hayes, M.J., (2004). A self-calibrating Palmer drought severity index. Journal of Climate, 17(12), pp.2335-2351.

 

Related Publication:

Please also cite the following related publication:

Herrera et al. (2025). On the Interaction of Drought and Tropical Cyclones in the Hurricane Region of the Americas.

 

For further questions and clarifications, please contact:

Dimitris A. Herrera (dherrer3@utk.edu)
DOI: 10.5281/zenodo.15420258
title: Dataset from: Assessing the Role of Tropical Cyclones on Drought Characteristics in the Hurricane Region of the Americas between 1983 and 2024

description: README:

Dataset from: Assessing the Role of Tropical Cyclones on Drought Characteristics in the Hurricane Region of the Americas between 1983 and 2024

This file describes the netCDF files used in Herrera et al. (2025): On the Interaction of Drought and Tropical Cyclones in the Hurricane Region of the Americas. (NetCDF) stands for Network Common Data Form, which is a standardized data format commonly used for sharing data in the Geosciences. Our files are written in netCDF version 4 (netCDF4), and they can be read in common programming languages such as Python, Matlab, R, NCL, C++, and others.

The datasets span from 1984-01-01 to 2023-12-31, and include the drought indices files supporting this work. Such indices are the Standardized Precipitation minus Evaporation Index (SPEI; Vicente-Serrano, et al. 2010), the “self-calibrated” Palmer Drought Severity Index (scPDSI; Palmer, 1965; Wells et al., 2004). 

File variables:

Each drought metric netCDF file includes the following variables:

    [0] time

    [1] latitude

    [2] longitude

    [3] climate_variable

time: A list of monthly values presented in days since January 1st 1984 at 00:00:00. For example, January of 1950 is therefore 365, February of 1950 is 396, and so on. 

latitude: A list of latitude values presented in degrees North.

longitude: A list of longitude values presented in degrees West.

climate_variable: variables include the drought metrics and precipitation used in this work (unitless and in mm/month). The variables are 'precip' or '__xarray_dataarray_variable__'

 

References:

1.     McKee, T.B., Doesken, N.J. and Kleist, J. (1993), January. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179-183).

2.     Palmer, W.C. (1965). Meteorological drought (Vol. 30). US Department of Commerce, Weather Bureau.

3.     Vicente-Serrano, S.M., Beguería, S. and López-Moreno, J.I. (2010). A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of Climate, 23(7), pp.1696-1718.

4.     Wells, N., Goddard, S. and Hayes, M.J., (2004). A self-calibrating Palmer drought severity index. Journal of Climate, 17(12), pp.2335-2351.

 

Related Publication:

Please also cite the following related publication:

Herrera et al. (2025). On the Interaction of Drought and Tropical Cyclones in the Hurricane Region of the Americas.

 

For further questions and clarifications, please contact:

Dimitris A. Herrera (dherrer3@utk.edu)
DOI: 10.15468/dl.du28xs
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum microlabium"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010062-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkhjhr
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is one of (Astragalus burqinensis, Astragalus buchtormensis)"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010064-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2290389459
title: TEST proposal for software developements
DOI: 10.34973/e2m9-5m04
title: Taurolidine-related adverse events in patients on home parenteral nutrition frequently indicate catheter-related problems

description: Abstract

Background & aims: A catheter-related bloodstream infection (CRBSI) is a serious complication of home parenteral nutrition (HPN) treatment. Despite taurolidine's frequent use as catheter lock solution (CLS) to prevent CRBSIs and its presumed favourable safety profile, data on taurolidine-related adverse events (AEs) and the clinical implications thereof remain merely anecdotal. Aim of this study was to explore taurolidine-related AEs in our large cohort of HPN patients and to develop an algorithm on how to deal with these AEs in clinical practice.

Methods: This retrospective cohort study comprised all adult HPN patients who used taurolidine as a CLS between 2006 and 2021 at our national HPN referral centre. Primary outcome was to identify taurolidine-related AEs. Secondary outcomes were median time to a taurolidine-related AEs and development of a clinical algorithm. A taurolidine-related AE was defined as an event that occurred directly after instillation of taurolidine in the CVAD or at start of fluid/PN infusion.

Results: In total, 470 patients used taurolidine during 700.232 catheter days. In 89 (19%) patients, 103 mild- to severe AEs related to taurolidine were observed. Six patients developed an allergic reaction. Reported AEs compromised vascular access device-related problems (group A) or taurolidine-related problems (group B) in 53 (51%) and 50 (49%), patients, respectively. In groups A and B, 51 (85%) and 21 (18%) patients presented with taurolidine infusion-related pain. Upon rechallenge, 45 (85%) and 16 (32%) patients, respectively, successfully resumed taurolidine locking without residual symptoms.

Conclusion: In this study, use of taurolidine as CLS was generally safe. Most reported AEs were vascular access device-related, and the majority of symptoms concerned pain. Upon rechallenge, a substantial number of patients, especially those in whom pain was the main symptom, could resume CLS locking after addressing the underlying catheter-related problem. Based on these results, we present a clinical algorithm for patients with possible taurolidine-related symptoms.
DOI: 10.34973/r7w7-xs60
title: Having breakfast has no clinically relevant effect on bioelectrical impedance measurements in healthy adults

description: Abstract
Background: Bioelectrical impedance analysis (BIA) is commonly used to evaluate body composition as part of nutritional assessment. Current guidelines recommend performing BIA measurements in a fasting state of at least 2 h in a clinical setting and 8 h in a research setting. However, since asking patients with malnutrition or sarcopenia to fast is not desirable and literature to support the strategy in the guidelines is lacking, this study aimed to assess the impact of breakfast on BIA measurements.

Methods: We performed an explorative, prospective study in healthy volunteers aged between 18 and 70 years, with a normal fluid balance and a body mass index between 18.5 and 30 kg/m2. BIA measurements were performed according to the standard operating procedure in the fasting state, and 1, 2, 3, and 4 h after ingesting a standardized breakfast meal of about 400 kcal with a 150 mL drink, using the hand-to-food single-frequency BIA (Bodystat500 ®). The Kyle formula was used to calculate the primary outcome, i.e. fat-free mass (FFM, kg). A linear mixed model was used to compare baseline values with other time points. A difference of 1 kg in FFM was considered clinically relevant.

Results: Thirty-nine (85% female) volunteers were included, with a median age of 28 years (IQR 24-38). In 90% of the participants, having breakfast had no clinically relevant impact on the estimated FFM. For the group, the most pronounced mean difference, a statistically but not clinically significant higher value of 0.2 kg (0.4%), was observed after 3 h of fasting compared to baseline. No statistically significant differences were found at the other time points.

Conclusion: Eating affects single-frequency BIA measurements, but differences in FFM remain below clinical relevance for most participants when using a standardized breakfast. Thus, the current study suggests performing a BIA measurement in a fasting state is not required.
DOI: 10.34973/0q2y-rj43
title: Oral antimicrobial agents in patients with short bowel syndrome: worth a try!

description: Abstract
Background: The use of oral antimicrobial agents in patients with short bowel syndrome (SBS) is challenging due to the changes in gastrointestinal anatomy that may result in diminished absorption and altered drug bioavailability. Prospective studies evaluating bioavailability of antimicrobial agents after oral administration in SBS patients are lacking.

Objectives: To determine the bioavailability of orally administered antimicrobial agents commonly used for treatment in SBS patients to guide clinical decision making when faced with infections.

Methods: We performed an explorative, clinical study investigating the pharmacokinetics (PK) of clindamycin, ciprofloxacin, flucloxacillin and fluconazole in SBS patients with intestinal failure. Participants received a combination of two antimicrobial agents simultaneously. To determine the oral bioavailability, participants received a single oral and IV dose of both agents on two occasions, after which they underwent intensive PK sampling on six predefined time points up to 12 hours after administration. Primary outcome was the oral bioavailability of these antimicrobial agents. Secondary outcomes were intravenous PK characteristics following non-compartmental analysis.

Results: Eighteen SBS patients were included: the mean (SD) age was 59 (17) years and 61% of participants were female. The median observed (IQR) bioavailability of ciprofloxacin, clindamycin, flucloxacillin and fluconazole were 36% (24-50), 93% (56-106), 50% (32-76) and 98% (61-107), respectively.

Conclusion: The bioavailability of selected antimicrobial agents in certain patients with SBS appeared to be better than expected, providing a feasible treatment option. Due to the large observed differences between patients, therapeutic drug monitoring should be part of the treatment to safeguard adequate exposure in all patients.

Trial registration: Registered in the Dutch Trial Register (NL7796) and EudraCT number 2019-002587-28.