cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28326641
title: Supplementary Material for: Use of Macrogol to accelerate feeding advancement in extremely preterm infants

description: Introduction
Delayed enteral nutrition is associated with a higher risk for adverse outcomes in extremely preterm infants. Limited evidence exists on therapeutic options to support meconium evacuation and increase gastrointestinal motility. The aim of this study was to determine the effect of macrogol on feeding tolerance and microbiome establishment in preterm infants &lt; 27 weeks of gestation.
Methods
We investigated the impact of early macrogol administration in two observational cohort studies: the multi-center German-Neonatal-Network (GNN) study comparing extremely preterm infants born in Neonatal intensive care units (NICUs) using macrogol in the first week of life in &gt;30% of their infants as compared to the remaining units, and the single center Immunoregulation-of-the-Newborn (IRoN) study including gut microbiome assessment of infants born before and after implementation of macrogol use in this NICU. 
Results
In the GNN study cohort including 4290 infants, advancement to full enteral feedings was significantly faster in macrogol-using NICUs compared to the remaining NICUs (median/SD: 14/16.5 vs. 16/16.7days, p=0.001). Risk for short-term outcomes such as sepsis or abdominal complications was not elevated in units with regular use of macrogol. In the IRoN cohort (n=68), macrogol treated infants had a shorter time to reach full enteral feeding (median/SD: Macrogol 12/4.8, Control 16/6.6days, p=0.004). Higher Bifidobacterium longum abundance in the gut microbiome correlated with acceleration to full enteral nutrition.
Conclusion
Our observational data suggests that early off-label use of macrogol may support feeding advancement in highly vulnerable babies. These data provide a basis for a randomized controlled trial.
DOI: 10.6084/m9.figshare.28331768
title: Supplementary Material for: Implementing the Nurse-led Optimization of Volume and blood pressure – Enabling at multi-Levels using TechnologY (NOVELTY) program for Chronic Kidney Disease: a prospective cohort study

description: Background: Fluid overload is a common manifestation of chronic kidney disease (CKD) and is associated with increased hospitalizations and death. However, severe symptomatic fluid overload is potentially preventable with early recognition of mild fluid overload and timely institution of appropriate pharmacotherapy and fluid restriction. We implemented and evaluated the outcomes of a nurse-led clinic that incorporated objective fluid volume assessment using body impedance analysis (BIA) into structured patient education and action plan coaching to patients with CKD and fluid overload.
Methods: Single-center prospective pre- post implementation study of adults who participated in the program (Table 1) between August 2022 and April 2024. Patients were eligible if they had CKD not requiring dialysis and had fluid overload and/or systolic blood pressure (BP) &gt;160 mmHg or diastolic BP &gt;100 mmHg. The clinical effectiveness outcomes were symptoms and signs of fluid overload and improvement in blood pressure. The patient-reported effectiveness outcomes were chronic disease self-management assessed using the Partner in Health (PIH) questionnaire and health-related quality of life (HrQOL) assessed by the EuroQOL-5 Dimension (EQ5D5L) survey. The clinical safety outcomes were hypotension and worsening kidney function. 
Results: Among 107 patients referred to the nurse-led program, 96 attended the first visit. median age was 68.5 (IQR 60.2, 77.3) years and eGFR was 21.6 (14.0, 39.7) ml/min/1.73 m2. Almost all participants (93.8%) had symptoms of fluid overload within the past 1 month before the first review. BIA was performed for 52 (54.2%) patients and the median overhydration was 2.4 (1.3, 3.6) liters. The second and third visits were attended by 38 (39.6%) and 28 (29.2%) patients, respectively. At program completion, patients had reduced symptoms and signs of fluid overload and had improved systolic BP [137 (121, 143) versus 151 (132, 166) mmHg, p=0.03] and self-management [PIH score 96 (89, 104) versus 72 (57, 88), p=0.001] compared to their baseline visit. EQ5D5L scores were significantly different. None experienced hypotension (systolic BP &lt;90 mmHg) and kidney function did not change significantly during follow-up. 

Conclusions: A nurse-led program that incorporated objective fluid volume assessment, structured patient education and action plan coaching for patients with CKD and fluid overload improved BP and self-management.
DOI: 10.6084/m9.figshare.28332521
title: Supplementary Material for: Emergency Department Workflow Times of Intravenous Thrombolysis with Tenecteplase versus Alteplase in Acute Ischemic Stroke: A prospective cohort study before and during the COVID-19 pandemic

description: Introduction: Tenecteplase (TNK) has demonstrated to be non-inferior to Alteplase (ALT) for intravenous thrombolysis (IVT) in acute ischemic stroke (AIS). There are potential workflow benefits associated with TNK use, aiming to reduce patient length of stay in the emergency department. Our aim was to investigate whether the routine use of TNK during the COVID-19 pandemic influenced workflow times compared to historical use of ALT, while maintaining non-inferior clinical outcomes in a non-drip and ship scenario of a comprehensive stroke center. 
Methods: We included patients with AIS admitted from September 2019 to September 2022 and compared those treated with TNK during the COVID-19 pandemic to those treated with ALT in the period immediately before. We compared emergency department length of stay (EDLOS), door-to-needle time (DTN), door-to-groin puncture time (DTG), clinical and safety outcomes with adjusted general linear regression models.
Results: 110 patients treated with TNK and 111 with ALT were included in this study. Mean EDLOS was 251 (SD=164) minutes for TNK users versus 240 (SD=148) minutes for ALT (p=0.62). Mean DTN was 43 (SD=25) minutes for TNK versus 46 (SD=27) minutes for ALT users (p=0.39). Mean DTN under 60 minutes was achieved in 86 (78.2%) patients and in 85 (76.5%) patients of the TNK and ALT groups respectively (p=1.0). DTN under 45 minutes was achieved in 65.4% and 58.6% (p=0.65) of the TNK and ALT groups respectively. DTG time was 114 (SD=43) minutes for TNK versus 111 (58=SD) minutes in the ALT group (p=0.88). DTG under 90 minutes was achieved in 32% of the TNK group and 35% of the ALT group (p=0.69). There were no differences in any of the clinical or safety outcomes between groups at 90 days. 
Conclusions: The adoption of TNK during COVID 19 pandemic did not result in a change in EDLOS, DTN or DTG times when compared to ALT in this cohort. Safety and clinical outcomes were similar between groups. Probably a greater benefit could have been seen in a drip and ship thrombolysis setting. Further research is needed to assess the potential advantages of TNK in drip and ship scenarios of IVT.
DOI: 10.6084/m9.figshare.6625673.v1
title: AGU Network Analysis

description: Data generated from our research study on network analysis of the American Geophysical Union. A preprint of this research has been submitted to EarthArXiv (http://eartharxiv.org).<br>
DOI: 10.1594/pangaea.885579
title: (Table S2) SST estimates as a function of age, ODP Site 167-1021

description: Data from LaRiviere, et al. (2012).
DOI: 10.5066/p92192wb
title: Hydrogeologic Data for the Development of the Hydrogeologic Framework of the Coastal Lowlands Aquifer System Regional Groundwater Availability Study Area in Texas, Louisiana, Mississippi, Alabama, and Florida

description: The U.S. Geological Survey (USGS) undertook a 5-year study beginning in 2016 to assess groundwater availability for the aquifers proximal to the Gulf of Mexico from the Texas-Mexico border to the western part of the panhandle of Florida; these aquifers are collectively referred to as the coastal lowlands aquifer system. This study is one of several regional groundwater availability studies being done as part of the USGS Water Availability and Use Science Program. Groundwater from the coastal lowlands aquifer system is used mainly for public, irrigation, and industrial supply. Land-surface subsidence related to groundwater pumping is an issue of ongoing concern within this study area. During the first two years of the study, the team developed an updated conceptual model of the hydrogeologic framework of the aquifer system, which lead to initial estimates of major water budget components such as recharge, surface-water/groundwater exchange, and coastal discharge. This data release documents the hydrogeologic data that were compiled and used to define the hydrogeologic framework.
DOI: 10.5066/p9kh3wb4
title: Salt Diapirs in the Gulf Coast [gcdiapirg]

description: Locations and shapes of salt diapirs were modified after the New Orleans Geological Society map, Salt tectonism of the U.S. Gulf Coast Basin (compiled by J.A. Lopez, 1995); Plate 2, Principal structural features, Gulf of Mexico Basin (compiled by T.E. Ewing and R.F. Lopez) in Volume J, The Geology of North America (1991); and U.S. Geological Survey Miscellaneous Field Studies Map MF-1213, Distribution of salt structures, Gulf of Mexico, by R.G. Martin (1980). This dataset contains basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5281/zenodo.1408517
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST wheat

description: This is model output from CGMS-WOFOST for wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1408521
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST soy

description: This is model output from CGMS-WOFOST for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1408529
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST rice

description: This is model output from CGMS-WOFOST for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1408537
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST maize

description: This is model output from CGMS-WOFOST for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.6084/m9.figshare.26125162
title: Genomic Data of Thrips hawaiiensis

description: The Hawaiian flower thrips, <i>Thrips hawaiiensis</i>, is a common flower inhabiting pest of various horticultural plant species. It damages flowers and fruits by puncturing. <i>T. hawaiiensis</i> shows a rapidly developed resistance to chemical control. The lack of a high-quality reference genome limits our understanding of the genetics of <i>T. hawaiiensis</i>. Here, we sequenced the genome of <i>T. hawaiiensis</i> using Oxford Nanopore sequencing technology, Illumina, and Hi-C technology, yielding a genome assembly of 287.59 Mb with scaffold N50 of 13.84 Mb. BUSCO analysis demonstrated the <i>T. hawaiiensis</i> genome assembly has a high-level completeness of 98.7%. In total, 18,289 protein-coding genes and 26.69% repetitive elements were annotated. Our study presents the first high-quality genome assembly of <i>T. hawaiiensis</i> and lays the foundation for further studies on thrips genetic characteristics and pest management.
DOI: 10.15138/g3t055
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2016; obspack_co2_1_GLOBALVIEWplus_v3.1_2017-10-18

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 378 atmospheric carbon dioxide datasets derived from observations made by 46 laboratories from 19 countries. Data for the period 1957-2016 (where available) are included.
DOI: 10.15468/dl.xryz7m
title: Occurrence Download

description: A dataset containing 1383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Avicennia germinans (L.) L.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 1383 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019186-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.896000
title: Measurements of deformation in fractured volcanic tuffs, Coroglio coastal cliff, Naples, Italy

description: Opening of fractures and deformation of rock blocks can lead to potentially hazardous rock failures on coastal cliffs. Here we present a time series of ground deformation measurements within selected tuff blocks located at the Coroglio coastal cliff (Naples) in Italy, over a 4-year period (Dec 2014-Oct 2018). The Coroglio cliff is 140 m high and 250 m wide, and is exposed towards the SW, facing the Pozzuoli Bay (Tyrrhenian Sea). The cliff rockface is represented by fractured welded tuff (Neapolitan Yellow Tuff fm.), and includes several rock fronts exceeding 50 m in height.Measurements were acquired along fractures and stratal discontinuities bounding the selected unstable tuff blocks, in order to assess the pattern and magnitude of block deformations (fracture opening and block rotational and/or traslative movements) and their evolution through time. The monitoring system is composed of 8 crackmeters and 2 tiltmeters equipped with internal thermometers, that have been set with a sampling rate of one measurement each 30 minutes, resulting in 48 measurements per day.