cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28529207.v1
title: <b>Unlocking Pumped</b> <b>H</b><b>ydroelectric Storage Potential for</b><b> Electricity</b><b> Decarbonization</b>

description: Large-scale energy storage is essential for balancing wind and solar variability in variable renewable energy (VRE) systems. Pumped hydroelectric storage (PHS) is the most mature and scalable long-duration storage solution<sup>1-</sup><sup>6</sup>. We assessed PHS feasibility for VRE support using a unified high-resolution framework that identifies open-loop sites linked to lakes and 2.89 million rivers, as well as low-impact closed-loop sites. Our assessment provides an upper-bound estimate of global PHS resources, with a capacity estimated at 28.85 ± 3.75 trillion kWh, sufficient to meet current global electricity demand and contributes to a fully renewable grid to support electricity decarbonization goals. Addressing spatial mismatches between electricity supply and demand requires long-distance transmission and grid enhancements, enabling resource-rich regions to support electricity decarbonization in other geographical areas. Our findings provide a quantitative foundation for energy planning, emphasizing the need for strategic investment in long-term storage, transmission infrastructure, and supportive policies. Unlocking PHS potential can further advance renewable energy integration and accelerate global electricity decarbonization.
DOI: 10.26255/heal.ei79-mn9g
title: Effects of protein supplementation during high-intensity functional training on physical performance in recreationally trained men and women
DOI: 10.6084/m9.figshare.28553021.v1
title: Supplementary Material for: Investigating the Correlation between the Cytological Grading System and CT Features in Early-Stage Lung Adenocarcinoma

description: Introduction: The early lung adenocarcinoma detection rate has increased with the development and application of low-dose computed tomography. However, overdiagnosis and overtreatment are frequent. Here, we established a cytology grading system for adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), and minimally invasive adenocarcinoma (MIA) and correlated the grading system with computed tomography (CT) features of ground-glass nodules (GGNs) to predict their biological behavior.
Methods: We screened 166 GGNs with pathological diagnoses of AAH, AIS, and MIA from the 900th Hospital of the Joint Logistics Support Force. The Mann–Whitney U test and the multiple linear regression analysis were used to screen cytological parameters. We stratified the GGNs into low- and high-grade groups by cytological score and established a cytology grading system. The Chi-square test and multiple logistic regression analysis were used to analyze differences in CT features between the two groups. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance.
Results: A cytology grading system was established, and the cytological parameters included nucleoli, chromatin, and Ki-67 labeling indices. The maximum diameter growth rate of GGNs was significantly greater in the high-grade group than in the low-grade group. Vascular abnormality signs were an independent risk factor for predicting cytological grade.
Conclusion: The study findings indicate that vascular abnormality signs are valuable predictors of the cytological grade and that the cytology grading system can effectively predict the biological behavior of GGNs, thus enabling personalized clinical decision-making to avoid overdiagnosis and overtreatment.
DOI: 10.6084/m9.figshare.28553021
title: Supplementary Material for: Investigating the Correlation between the Cytological Grading System and CT Features in Early-Stage Lung Adenocarcinoma

description: Introduction: The early lung adenocarcinoma detection rate has increased with the development and application of low-dose computed tomography. However, overdiagnosis and overtreatment are frequent. Here, we established a cytology grading system for adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), and minimally invasive adenocarcinoma (MIA) and correlated the grading system with computed tomography (CT) features of ground-glass nodules (GGNs) to predict their biological behavior.
Methods: We screened 166 GGNs with pathological diagnoses of AAH, AIS, and MIA from the 900th Hospital of the Joint Logistics Support Force. The Mann–Whitney U test and the multiple linear regression analysis were used to screen cytological parameters. We stratified the GGNs into low- and high-grade groups by cytological score and established a cytology grading system. The Chi-square test and multiple logistic regression analysis were used to analyze differences in CT features between the two groups. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance.
Results: A cytology grading system was established, and the cytological parameters included nucleoli, chromatin, and Ki-67 labeling indices. The maximum diameter growth rate of GGNs was significantly greater in the high-grade group than in the low-grade group. Vascular abnormality signs were an independent risk factor for predicting cytological grade.
Conclusion: The study findings indicate that vascular abnormality signs are valuable predictors of the cytological grade and that the cytology grading system can effectively predict the biological behavior of GGNs, thus enabling personalized clinical decision-making to avoid overdiagnosis and overtreatment.
DOI: 10.6084/m9.figshare.28553024
title: Supplementary Material for: From Lens to Scalpel: A Systematic Literature Review of Intestinal Obstruction after Video Capsule Endoscopy

description: Introduction
Video Capsule Endoscopy (VCE) is a valuable non-invasive diagnostic tool for gastrointestinal disorders, but it carries a risk of capsule retention and subsequent bowel obstruction. The aim of the present study was to examine the manifestations, diagnostic approaches, treatment modalities, and outcome of patients with bowel obstruction due to VCE. 

Methods
A comprehensive search was conducted in PubMed/Medline, EMBASE, Cochrane and Scopus databases focusing on intestinal obstruction post VCE. 

Results
Out of 399 unique articles, 27 studies were included, involving 30 patients, with an average age of 54 ± 22.3 years and a female-to-male ratio of 1.9:1. Common indications for VCE included Crohn’s disease, anemia, abdominal pain with diarrhea, and obscure gastrointestinal bleeding. The obstruction most often occurred in the small intestine, predominantly in the ileum (20 patients, 67%) and the duodenum (5 patients, 17%). Diagnostic methods included CT scans in 19 cases (66%) and X-ray imaging in 8 cases (28%). Treatment varied from conservative management to surgical intervention and no cases of mortality or morbidity were reported. 

Conclusions 
This study highlights the importance of a multidisciplinary approach of such cases, concentrating on tailored therapeutic strategies to prevent and address complications related to VCE. Further research with larger cohorts is needed for a deep-er understanding of risk factors and long-term outcomes.
DOI: 10.6084/m9.figshare.28553030.v1
title: Supplementary Material for: Recurrent Subretinal Hemorrhage in a Patient Taking a Turmeric Supplement Case Report

description: This case report highlights the importance of knowing what non-prescription medications and supplements are being taken by patients in addition to their prescribed medications. Our patient was a myopic male who developed a vitreous hemorrhage and was subsequently found to have a retinal detachment. He had an unusual postoperative course because his retinal detachment kept recurring and was associated with retinal hemorrhages. Eventually, he was sent to his primary care physician for a thrombotic work-up. The workup was negative and all his dietary supplements, including turmeric, were discontinued. Finally, at post-op month 2, he started to improve with resolving subretinal hemorrhage and an attached retina.
DOI: 10.5281/zenodo.14986393
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.39

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.39 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.39.
DOI: 10.5281/zenodo.14986394
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.39

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.39 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.39.
DOI: 10.48597/32jj-wy4v
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/a39f-t8gp
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/apdp-4fe8
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/ehd9-rjkq
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/f2y5-mt8s
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/kedm-sany
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/krse-srn4
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/qxkk-ndfq
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/r6x4-3g7s
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/snav-dqxp
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.48597/tm7s-ejke
title: Measurement of Ozone at Rigi

description: Measurement of Ozone at Rigi
DOI: 10.6084/m9.figshare.28037879
title: Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models

description: We consider a general multivariate model where univariate marginal distributions are known up to a parameter vector and we are interested in estimating that parameter vector without specifying the joint distribution, except for the marginals. If we assume independence between the marginals and maximize the resulting quasi-likelihood, we obtain a consistent but inefficient QMLE estimator. If we assume a parametric copula (other than independence) we obtain a full MLE, which is efficient but only under a correct copula specification and may be biased if the copula is misspecified. Instead we propose a sieve MLE estimator (SMLE) which improves over QMLE but does not have the drawbacks of full MLE. We model the unknown part of the joint distribution using the Bernstein-Kantorovich polynomial copula and assess the resulting improvement over QMLE and over misspecified FMLE in terms of relative efficiency and robustness. We derive the asymptotic distribution of the new estimator and show that it reaches the relevant semiparametric efficiency bound. Simulations suggest that the sieve MLE can be almost as efficient as FMLE relative to QMLE provided there is enough dependence between the marginals. We demonstrate practical value of the new estimator with financial risk management examples, where the use of SMLE leads to superior Value-at-Risk predictions. The article comes with supplementary materials which include all proofs, codes and datasets, details of implementation and an additional application to insurance claims.
DOI: 10.6084/m9.figshare.28037879.v1
title: Efficient estimation of parameters in marginals in semiparametric multivariate models*

description: We consider a general multivariate model where univariate marginal distributions are known up to a parameter vector and we are interested in estimating that parameter vector without specifying the joint distribution, except for the marginals. If we assume independence between the marginals and maximize the resulting quasi-likelihood, we obtain a consistent but inefficient QMLE estimator. If we assume a parametric copula (other than independence) we obtain a full MLE, which is efficient but only under a correct copula specification and may be biased if the copula is misspecified. Instead we propose a sieve MLE estimator (SMLE) which improves over QMLE but does not have the drawbacks of full MLE. We model the unknown part of the joint distribution using the Bernstein-Kantorovich polynomial copula and assess the resulting improvement over QMLE and over misspecified FMLE in terms of relative efficiency and robustness. We derive the asymptotic distribution of the new estimator and show that it reaches the relevant semiparametric efficiency bound. Simulations suggest that the sieve MLE can be almost as efficient as FMLE relative to QMLE provided there is enough dependence between the marginals. We demonstrate practical value of the new estimator with financial risk management examples, where the use of SMLE leads to superior Value-at-Risk predictions. The paper comes with supplementary materials which include all proofs, codes and datasets, details of implementation and an additional application to insurance claims.
DOI: 10.6084/m9.figshare.28037879.v2
title: Efficient Estimation of Parameters in Marginals in Semiparametric Multivariate Models

description: We consider a general multivariate model where univariate marginal distributions are known up to a parameter vector and we are interested in estimating that parameter vector without specifying the joint distribution, except for the marginals. If we assume independence between the marginals and maximize the resulting quasi-likelihood, we obtain a consistent but inefficient QMLE estimator. If we assume a parametric copula (other than independence) we obtain a full MLE, which is efficient but only under a correct copula specification and may be biased if the copula is misspecified. Instead we propose a sieve MLE estimator (SMLE) which improves over QMLE but does not have the drawbacks of full MLE. We model the unknown part of the joint distribution using the Bernstein-Kantorovich polynomial copula and assess the resulting improvement over QMLE and over misspecified FMLE in terms of relative efficiency and robustness. We derive the asymptotic distribution of the new estimator and show that it reaches the relevant semiparametric efficiency bound. Simulations suggest that the sieve MLE can be almost as efficient as FMLE relative to QMLE provided there is enough dependence between the marginals. We demonstrate practical value of the new estimator with financial risk management examples, where the use of SMLE leads to superior Value-at-Risk predictions. The article comes with supplementary materials which include all proofs, codes and datasets, details of implementation and an additional application to insurance claims.
DOI: 10.17882/98734
title: Drifter deployment within the Glider South project in the Central Mediterranean Basin

description: The time series data consist of the trajectory for one drifter, released on the 23rd April 2017, and two drifters released on 16th June 2017. The drifters were deployed off the southern coast of the Maltese Islands. These surveys were carried out as part of the Glider South project which had the aim to observe this relatively unexplored area of the Mediterranean Sea. This project was supported by the European Commission – H2020 Framework Programme, JERICO NEXT under grant agreement No. 654410.
DOI: 10.17882/103920
title: Observation-based anthropogenic carbon estimates in the Arctic Ocean

description: Although the Arctic Ocean is quickly changing wih climate change and increasing atmospheric CO2, it is still relatively poorly surveyed because of logistical difficulties. Observations that allow to estimate the change in carbon due to the addition of anthropogenic carbon (Cant) are much sparser than physical oceanography observations. Although estimates of Cant are sparse, they are highly important to quantify and monitor the ongoing ocean acidification to which the Arctic Ocean is particularly vulnerable. Here, we provide Cant estimates for 2005 across all basins and depths based on transient tracer measurements (e.g., CFCs and SF6) between 1983 and 2005 (Tanhua et al., 2009). Based on the transient tracers, Cant is estimated using the transit time distribution (TTD) concept. We further provide adjusted Cant estimates for 2005 (Terhaar et al., 2020). This adjustment corrects the original Cant estimates upward by accounting for a bias that results from the idealized assumption of gas equilibrium between atmosphere and surface water, both for CFC-12 and anthropogenic CO2. In the cooling northward flowing waters, CFC is undersatured while Cant is supersaturated. The adjustment leads to up to 12% higher Cant estimates.
DOI: 10.5281/zenodo.14896485
title: Student Health Equity Survey Running Total of Survey Data
DOI: 10.5281/zenodo.14927437
title: Student Health Equity Survey Validation Data

description: Validation data from the Student Health Equity Survey (SHES).
DOI: 10.15468/dl.nwdwwh
title: Occurrence Download

description: A dataset containing 53903404 records in GBIF matching the query:
SELECT catalognumber, scientificname, publishingorgkey, institutioncode, datasetkey, gbifid, decimallatitude, decimallongitude, 
 recordedby, identifiedby, eventdate, kingdomkey, phylumkey, classkey, orderkey, familykey, genuskey, subgenuskey, specieskey
 FROM occurrence WHERE
 phylumkey = 44 AND classkey &lt;&gt; 212 
 AND taxonomicstatus = 'ACCEPTED' //newly added 12Feb2025
 AND hascoordinate = 1
 AND hasgeospatialissues = 0
 AND specieskey IS NOT NULL
 AND occurrencestatus = 'PRESENT'
 -- AND (
 -- basisofrecord = 'HUMAN_OBSERVATION'
 -- OR basisofrecord = 'MACHINE_OBSERVATION'
 -- OR basisofrecord = 'OCCURRENCE'
 -- OR basisofrecord = 'LIVING_SPECIMEN'
 -- OR basisofrecord = 'MATERIAL_SAMPLE'
 -- )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND datasetkey NOT IN ('040c5662-da76-4782-a48e-cdea1892d14c') 

 The dataset's 53903404 records were derived from 19143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000217-250226150154925/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4whj9
title: Occurrence Download

description: A dataset containing 3792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.59545144048016",
 "DecimalLongitude is less than 8.59851099366455",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3792 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007732-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a45bf
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gnaphalium inornatum DC."
 ]
}

 The dataset includes 202 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347501-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.icrkhf
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geoffroea decorticans (Gillies ex Hook. & Arn.) Burkart"
 ]
}

 The dataset includes 523 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014162-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbxzq9
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthospermum prostratum Sond."
 ]
}

 The dataset includes 74 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007701-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.