cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14789457.v2
title: Amniotic fluid and urine metabolomic alterations associated with pregnant women with Down syndrome fetuses

description: Down syndrome (DS) is a chromosomal disorder caused by a third copy of all or part of chromosome 21. Clinical observations and preclinical studies both suggest that DS may be associated with significant metabolic and bioenergetic alterations. But the metabolic alterations in pregnant women carrying DS fetuses still remains unclear. In this study, we investigated the characteristic metabolomics and lipidomics changes during fetal development of DS. The AF and random urine specimens were selected from 20 pregnant women carrying DS fetuses and 20 pregnant women carrying healthy fetuses. The diagnosis of DS was screened according to chromosome karyotype analysis, and untargeted metabolomic and lipidomic analyses were performed. Through the analyses of AF, 308 differential metabolites were selected between DS and controls. The metabolites with significant changes mainly involved lipid molecules, organic acids, nucleotides and carbon. Further analysis of lipidomics showed 64 differential metabolites, mainly involving glycerides, sphingolipids and glycerolipids. As for urine metabolomic and lipidomic analyses, there existed consistent metabolites with AF, but the number was much less. Compared with the controls, carbon metabolism, amino acid metabolism, glyceride metabolism, sphingolipid metabolism and glycerophospholipid metabolism were significantly changed in DS cases. In addition, characterized biomarkers in AF and urine were screened for DS diagnosis, and these metabolites were mainly involved in energy metabolism and liver dysfunction. This finding may help improve the efficiency of prenatal screening for DS.
DOI: 10.6084/m9.figshare.14897173
title: Prediction of intrahepatic cholestasis of pregnancy in the first 20 weeks of pregnancy

description: Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disease associated with a significant risk of fetal complications including pre-term delivery and fetal death. Typically, it was diagnosed in the third trimester of pregnancy. This study utilized characteristics from routine maternal examinations in the first 20 weeks’ gestation to predict ICP in pregnant women. This is a retrospective case-control study. 13,329 medical records were collected on pregnant women presenting to the West China Second University Hospital between December 2017 and December 2018. After screening according to strict criteria, a total of 487 patients, 250 intrahepatic cholestasis of pregnancy cases, and 237 controls were selected for this study. We collected seven maternal characteristics indices for analysis and forty-three routine blood examination indices were obtained from routine hepatic, renal, and coagulation function examinations. The least absolute shrinkage and selection operator regression was applied for variable selection. Classification and regression trees, logistic regression, random forests, and light gradient boosting machines were fit for predictive modeling. We randomly divided 25% of the original data as testing set to conduct internal validation of the performance of the prediction model. The area under the receiver operating characteristic curves (AUC) was used to compare methods. Eight variables were selected out as potentially significant predictors that could reliably predict ICP. The sensitivity, specificity, accuracy, and AUC of the final prediction model obtained by light gradient boosting machines were 72.41, 79.69, 76.23, and 79.77%, respectively. Significantly higher platelet large cell ratio, alanine aminotransferase, glutamyl transpeptidase, and fibrinogen levels were found in cases as compared to healthy controls, while activated partial thromboplastin time and mean corpuscular hemoglobin concentration levels were significantly lower (<i>p</i> &lt; .001). The combination of alanine aminotransferase, glutamyl transpeptidase, fibrinogen, platelet large cell ratio, activated partial thromboplastin time, lactate dehydrogenase, creatinine, and mean corpuscular hemoglobin concentration levels can effectively predict ICP in the first 20 weeks of gestation. These could help provide direction for earlier detection and prevention of ICP.
DOI: 10.6084/m9.figshare.14897173.v1
title: Prediction of intrahepatic cholestasis of pregnancy in the first 20 weeks of pregnancy

description: Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disease associated with a significant risk of fetal complications including pre-term delivery and fetal death. Typically, it was diagnosed in the third trimester of pregnancy. This study utilized characteristics from routine maternal examinations in the first 20 weeks’ gestation to predict ICP in pregnant women. This is a retrospective case-control study. 13,329 medical records were collected on pregnant women presenting to the West China Second University Hospital between December 2017 and December 2018. After screening according to strict criteria, a total of 487 patients, 250 intrahepatic cholestasis of pregnancy cases, and 237 controls were selected for this study. We collected seven maternal characteristics indices for analysis and forty-three routine blood examination indices were obtained from routine hepatic, renal, and coagulation function examinations. The least absolute shrinkage and selection operator regression was applied for variable selection. Classification and regression trees, logistic regression, random forests, and light gradient boosting machines were fit for predictive modeling. We randomly divided 25% of the original data as testing set to conduct internal validation of the performance of the prediction model. The area under the receiver operating characteristic curves (AUC) was used to compare methods. Eight variables were selected out as potentially significant predictors that could reliably predict ICP. The sensitivity, specificity, accuracy, and AUC of the final prediction model obtained by light gradient boosting machines were 72.41, 79.69, 76.23, and 79.77%, respectively. Significantly higher platelet large cell ratio, alanine aminotransferase, glutamyl transpeptidase, and fibrinogen levels were found in cases as compared to healthy controls, while activated partial thromboplastin time and mean corpuscular hemoglobin concentration levels were significantly lower (<i>p</i> &lt; .001). The combination of alanine aminotransferase, glutamyl transpeptidase, fibrinogen, platelet large cell ratio, activated partial thromboplastin time, lactate dehydrogenase, creatinine, and mean corpuscular hemoglobin concentration levels can effectively predict ICP in the first 20 weeks of gestation. These could help provide direction for earlier detection and prevention of ICP.
DOI: 10.15468/dl.pea9r8
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium hyrcanicum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009953-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.17257798
title: Proning modus operandi in pregnancies complicated by acute respiratory distress syndrome secondary to COVID-19

description: Prone positioning has been widely utilized in ARDS management before and during the COVID-19 pandemic due to its demonstrated mortality benefits. In pregnancy, proning requires careful attention to often overlooked physiologic changes in pregnancy and additional technical challenges accompanying a gravid abdomen. The purpose of this manuscript is to demonstrate a proning technique that was successfully used at our institution to avoid premature delivery of the fetus while improving maternal outcomes. All technical challenges are addressed in the instructional videos using a pregnant model with twin gestation at 32 weeks. We reviewed all the patients’ charts with positive SARS-CoV-2 from March 2020 until July 2020 and identified those who developed ARDS. Subsequently, we identified four patients that were proned during the antepartum period. We described their clinical course, including the change in ventilatory parameters in relationship with proning timing. Stepwise instructions for self-proning and proning in mechanically ventilated patients are illustrated in video format. During the study period, we identified 100 pregnant patients with SARS-CoV-2 infection. Mechanical ventilation was required in 8 of these patients. In four cases, proning was performed during the antepartum period. We were able to improve the P/F ratio while decreasing FiO<sub>2</sub> and avoiding iatrogenic preterm delivery. Except for one case, where the patient self-extubated and required emergent delivery, all patients were successfully extubated, followed for prenatal care, and delivered for usual obstetric indications. Proning remains a well-proven intervention in ARDS and should be considered in pregnant women when indicated. We recognize that proning might not be effective in all cases. However, proning positioning is an option to improve oxygenation in patients with severe hypoxemia when the next consideration is delivery of a premature infant or maternal cannulation for extracorporeal membrane oxygenation.
DOI: 10.6084/m9.figshare.17257798.v1
title: Proning modus operandi in pregnancies complicated by acute respiratory distress syndrome secondary to COVID-19

description: Prone positioning has been widely utilized in ARDS management before and during the COVID-19 pandemic due to its demonstrated mortality benefits. In pregnancy, proning requires careful attention to often overlooked physiologic changes in pregnancy and additional technical challenges accompanying a gravid abdomen. The purpose of this manuscript is to demonstrate a proning technique that was successfully used at our institution to avoid premature delivery of the fetus while improving maternal outcomes. All technical challenges are addressed in the instructional videos using a pregnant model with twin gestation at 32 weeks. We reviewed all the patients’ charts with positive SARS-CoV-2 from March 2020 until July 2020 and identified those who developed ARDS. Subsequently, we identified four patients that were proned during the antepartum period. We described their clinical course, including the change in ventilatory parameters in relationship with proning timing. Stepwise instructions for self-proning and proning in mechanically ventilated patients are illustrated in video format. During the study period, we identified 100 pregnant patients with SARS-CoV-2 infection. Mechanical ventilation was required in 8 of these patients. In four cases, proning was performed during the antepartum period. We were able to improve the P/F ratio while decreasing FiO<sub>2</sub> and avoiding iatrogenic preterm delivery. Except for one case, where the patient self-extubated and required emergent delivery, all patients were successfully extubated, followed for prenatal care, and delivered for usual obstetric indications. Proning remains a well-proven intervention in ARDS and should be considered in pregnant women when indicated. We recognize that proning might not be effective in all cases. However, proning positioning is an option to improve oxygenation in patients with severe hypoxemia when the next consideration is delivery of a premature infant or maternal cannulation for extracorporeal membrane oxygenation.
DOI: 10.5281/zenodo.16676223
title: PUDL Raw EIA Form 191 -- Monthly Underground Natural Gas Storage Report

description: The EIA Form 191, also known as the Monthly Underground Natural Gas Storage Report, describes the working and base gas in reservoirs, injections, withdrawals, and location of reservoirs by field monthly. Archived from 
https://www.eia.gov/naturalgas/ngqs/

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.6084/m9.figshare.15170949
title: <i>Z</i>-score of some pulsed-wave Doppler indices of right pulmonary artery segments of normal fetuses in the second and third trimestries

description: To establish the <i>Z</i>-score equation of right pulmonary artery (RPA) segments for some valuable pulse-wave Doppler parameters (PWD) and estimate their reference ranges in normal fetuses. Two hundred and seventy-three normal singleton fetuses at 18–38 weeks were enrolled in this fetal echocardiography of a prospective cross-sectional study. The proximal, middle, and distal segments of RPA of pulsed-wave Doppler parameters, such as peak systolic velocity (PSV) and pulsation index (PI) were obtained by using fetal Doppler echocardiography. The mean and standard deviation (SD) of each parameter and gestational age (GA) were analyzed by regression, and the optimal model of <i>Z</i>-score was established. There was a significant correlation between fetal pulmonary artery Doppler parameters and gestational age, during the whole pregnancy, PI showed a downward trend with the progress of gestational week, while PSV showed an upward trend. Whether it was the original data or the data converted for the normal distribution of <i>Z</i>-score, the model that best described the mean value of parameters was quadratic regression. The SDs for PSV of the middle segment was a linear equation, others were constants. From proximal to distal of RPA, PSV showed a decreasing trend while PI showed an increasing trend. <i>Z</i>-score models and reference values for some PWD parameters of three segments of RPA were proposed against GA, which may quantitatively assess the flow dynamics of fetal RPA and quantitatively assess fetal lung circulation development and hemodynamic changes.
DOI: 10.6084/m9.figshare.15170949.v1
title: <i>Z</i>-score of some pulsed-wave Doppler indices of right pulmonary artery segments of normal fetuses in the second and third trimestries

description: To establish the <i>Z</i>-score equation of right pulmonary artery (RPA) segments for some valuable pulse-wave Doppler parameters (PWD) and estimate their reference ranges in normal fetuses. Two hundred and seventy-three normal singleton fetuses at 18–38 weeks were enrolled in this fetal echocardiography of a prospective cross-sectional study. The proximal, middle, and distal segments of RPA of pulsed-wave Doppler parameters, such as peak systolic velocity (PSV) and pulsation index (PI) were obtained by using fetal Doppler echocardiography. The mean and standard deviation (SD) of each parameter and gestational age (GA) were analyzed by regression, and the optimal model of <i>Z</i>-score was established. There was a significant correlation between fetal pulmonary artery Doppler parameters and gestational age, during the whole pregnancy, PI showed a downward trend with the progress of gestational week, while PSV showed an upward trend. Whether it was the original data or the data converted for the normal distribution of <i>Z</i>-score, the model that best described the mean value of parameters was quadratic regression. The SDs for PSV of the middle segment was a linear equation, others were constants. From proximal to distal of RPA, PSV showed a decreasing trend while PI showed an increasing trend. <i>Z</i>-score models and reference values for some PWD parameters of three segments of RPA were proposed against GA, which may quantitatively assess the flow dynamics of fetal RPA and quantitatively assess fetal lung circulation development and hemodynamic changes.
DOI: 10.15125/bath-01517
title: Dataset for "Redefining Accessibility: Uncovering Cultural, Social, and Economic Barriers to Urban Green Space Accessibility"
title: Green Equity

description: The files are data collected as part of a study on accessibility to green spaces in Bristol. The first file is over 240 participant responses to a survey on urban green space (UGS) use in Bristol. It includes information on the nature of UGS use, the frequency of use along with other details, in addition to non-identifying demographic data.

The second is focus group data, the focus groups were aimed at marginalised groups, especially ethnic minorities. The participants of four focus groups were non-regular users of green space. One of the focus groups was for regular users.

The third file is results of a participatory design workshop, where participants were asked to come up with design and planning solutions to make Netham park in Bristol more accessible for the diverse community it serves.
description: JISC survey system was used for the online survey. The link was distributed through social media and community groups. For the focus groups, researcher notes were taken to document the discussion which was guided by a preset of questions and topics, then analysed using thematic analysis with NVivo.  For the participatory workshop, solutions were documented during the event, and later transcribed into a file that was analysed using NVivo.
description: NVivo was used for thematic coding, MS Excel was used for statistic analysis of the survey results.
DOI: 10.15468/dl.hzpu53
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elaphe climacophora",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 750 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009955-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nrbe7
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009957-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16676182
title: PUDL Raw EIA Bulk API Data

description: All data made available in bulk through the EIA Open Data API, including:



the Annual Energy Outlook, the International Energy Outlook and the Short Term Energy Outlook;

aggregate national, state, and mine-level coal production statistics, including imports and exports, reciepts of coal at electric power plants, consumption and quality, market sales, reserves, and productive capacity;

U.S. electric system operating data;

aggregate national, state, and plant-level electricity generation statistics, including fuel quality and consumption, for grid-connectedplants with nameplate capacity of 1 megawatt or greater;

CO2 emissions aggregates, CO2 emissions and carbon coefficients by fuel, state, and sector;

International Energy System (IES) data containing production, reserves, consumption, capacity, storage, imports, exports, and emissions time series by country for electricity, petroleum, natural gas, coal, nuclear, and renewable energy;

statistics of U.S. natural gas production, imports, exploration, pipelines, exports, prices, consumption, stocks, and reserves;

statistics of U.S. petroleum and other liquid fuel production, imports, refining, exports, prices, consumption, stocks, and reserves;

aggregate national, PADD, state, city, port, and refinery petroleum imports data for various grades of crude oil and country of origin;

state and national energy production and consumption, using survey and estimates to create comprehensive state energy statistics and flows;

U.S. total energy production, prices, carbon dioxide emissions, and consumption of energy from all sources by sector.


Archived from https://www.eia.gov/opendata/bulkfiles.php. The Annual Energy Outlook data is also archived separately here.

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. At present, PUDL integrates only a few specific data series related to fuel receipts and costs figures from the Bulk Electricity API. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.15468/dl.zgkk25
title: Occurrence Download

description: A dataset containing 976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Paraguay, Bolivia (Plurinational State of))",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Caiman latirostris",
 "Year 2000-2025"
 ]
}

 The dataset includes 976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009958-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r22ew7
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.05675 67.32188,-4.76632 57.25687,-0.40986 51.75902,5.07344 49.76538,10.57049 52.11519,15.28225 51.99447,16.46019 66.64434,8.21461 69.01295,-5.05675 67.32188))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lipophrys pholis"
 ]
}

 The dataset includes 1376 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009959-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7s2ff
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccorella atlantica"
 ]
}

 The dataset includes 675 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009960-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjqr6f
title: Occurrence Download

description: A dataset containing 56637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((72.80578 18.95247,72.83465 18.93872,72.95218 19.06794,72.89169 19.08306,72.86695 19.09268,72.80578 18.95247))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 56637 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009892-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16736558
title: EIA STEO -- Short-Term Energy Outlook

description: The Short Term Energy Outlook is a monthly report of the U.S. Energy Information Administration with forecasts and history of energy production, consumption, and trade for electricity, petroleum, natural gas, coal, nuclear, and renewable sources. Archived from 
https://www.eia.gov/outlooks/steo/

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives