cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13466538.v1
title: Extracorporeal membrane oxygenation in pregnant and postpartum patients: a systematic review

description: Information on the use of extracorporeal membrane oxygenation (ECMO) in obstetric patients is scarce. The objective was to conduct a systematic review examining ECMO use in pregnant and postpartum patients in order to identify indications leading to ECMO use and to assess mortality rates. PubMed, EMBASE, Cochrane Library, and SCOPUS were searched using the terms “extracorporeal membrane oxygenation” and “pregnancy” up to 1 November 2020. Case reports and case series reporting the use of ECMO in pregnancy were eligible. Data about maternal age, gestational age, diagnosis, type of ECMO, time on ECMO, pregnancy outcomes, and maternal survival were extracted from studies. The search yielded 1696 citations, of which 125 were included. There were 213 obstetric patients treated with ECMO over a 30-year period. The frequency of reports increased considerably over the last decade. The majority of patients were treated in their third trimester (28.2%) or postpartum (32.9%). Most common etiologies included influenza-induced ARDS (27.7%), pulmonary embolism (13.6%), peripartum cardiomyopathy (11.7%), and infection (11.7%). Pregnancy outcomes ended with live births, either on ECMO (15.5%, 95% CI 10.6–20.4) or not on ECMO (58.3%, 95% CI 51.7–64.9), in fetal demise (8.9%, 95% CI 5.1–12.7), or in spontaneous or induced abortion on ECMO (4.2%, 95% CI 1.5–6.9) or not on ECMO (4.2%, 95% CI 1.5–6.9). Maternal survival was 79.3%. Although women placed on ECMO had a high mortality rate, this is likely an indication of the severity of illness. Overall, ECMO appears to be a valid therapy for the temporary support of vital organs in severely ill pregnant women.
DOI: 10.6084/m9.figshare.13395530
title: Abnormal placental DNA methylation variation in spontaneous preterm birth

description: Preterm birth (PTB) has become a major public health concern as the leading cause of neonatal death, but little is understood about its etiology. Children born preterm are also at increased risk of long-term consequences such as neurodevelopmental disorders, adulthood hypertension and diabetes. Recent studies have indicated that DNA methylation may be involved in the occurrence of PTB as well as related adverse outcomes. The latest Infinium EPIC BeadChip extends the coverage of the genome and provides a better tool to help investigate the involvement of DNA methylation in these conditions. We conducted this case-control study in three Women and Children’s hospitals in South China, and enrolled 32 spontaneous preterm births and 16 term births. We assessed placental DNA methylation profiling of these participants with the Infinium EPIC BeadChip. We identified PTB and gestational age (GA)-associated CpG sites with limma regression model, and applied <i>seqlm</i> to identify PTB-associated regions. We performed gene ontology analysis to further interpret functional enrichment of the identified differentially methylated genes in PTB. We identified a total of 8 differentially methylated positions (DMPs) that were significantly associated with PTB (FDR &lt; 0.1) and a total of 15 DMPs that were associated with GA (FDR &lt; 0.1). In the regional analysis, one differentially methylated region in the <i>SLC23A1</i> gene overlapped with PTB-associated CpG site. The differentially methylated CpG sites in PTB were mapped to the genes involving in biological processes mainly regarding neurodevelopment, regulation of inflammation and metabolism. Our findings suggested that preterm placenta have distinct DNA methylation alterations, and these alteration patterns established at birth provide insight into the long-term consequences of preterm birth.
DOI: 10.6084/m9.figshare.13395530.v1
title: Abnormal placental DNA methylation variation in spontaneous preterm birth

description: Preterm birth (PTB) has become a major public health concern as the leading cause of neonatal death, but little is understood about its etiology. Children born preterm are also at increased risk of long-term consequences such as neurodevelopmental disorders, adulthood hypertension and diabetes. Recent studies have indicated that DNA methylation may be involved in the occurrence of PTB as well as related adverse outcomes. The latest Infinium EPIC BeadChip extends the coverage of the genome and provides a better tool to help investigate the involvement of DNA methylation in these conditions. We conducted this case-control study in three Women and Children’s hospitals in South China, and enrolled 32 spontaneous preterm births and 16 term births. We assessed placental DNA methylation profiling of these participants with the Infinium EPIC BeadChip. We identified PTB and gestational age (GA)-associated CpG sites with limma regression model, and applied <i>seqlm</i> to identify PTB-associated regions. We performed gene ontology analysis to further interpret functional enrichment of the identified differentially methylated genes in PTB. We identified a total of 8 differentially methylated positions (DMPs) that were significantly associated with PTB (FDR &lt; 0.1) and a total of 15 DMPs that were associated with GA (FDR &lt; 0.1). In the regional analysis, one differentially methylated region in the <i>SLC23A1</i> gene overlapped with PTB-associated CpG site. The differentially methylated CpG sites in PTB were mapped to the genes involving in biological processes mainly regarding neurodevelopment, regulation of inflammation and metabolism. Our findings suggested that preterm placenta have distinct DNA methylation alterations, and these alteration patterns established at birth provide insight into the long-term consequences of preterm birth.
DOI: 10.15468/dl.sjukvw
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Guibourtia pellegriniana J.Léonard)"
 ]
}

 The dataset includes 254 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075945-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2g2cdb
title: CCDC 2266391: Experimental Crystal Structure Determination

description: Related Article: Janis M. Zakis, Antonis M. Messinis, Lutz Ackermann, Tomas Smejkal, Joanna Wencel-Delord|2024|Adv.Synth.Catal.|366|2292|doi:10.1002/adsc.202301411
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g2ckh
title: CCDC 2266396: Experimental Crystal Structure Determination

description: Related Article: Janis M. Zakis, Antonis M. Messinis, Lutz Ackermann, Tomas Smejkal, Joanna Wencel-Delord|2024|Adv.Synth.Catal.|366|2292|doi:10.1002/adsc.202301411
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gj7nx
title: CCDC 2279729: Experimental Crystal Structure Determination

description: Related Article: Xu-xian Wu, Chao-hai Lei, Su-ni Qin, Zi-lu Chen, Li-pin Jiang, Fu-pei Liang|2009|Guangxi Shifan Daxue Xuebao Ziran Kexueban|27|40|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.f92fck
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnoldichthys Myers, 1926"
 ]
}

 The dataset includes 103 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075946-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34770/ybs9-5t93
title: Chiral Tetramer Molecular Model

description: Source code for our energy-conserving reformulation of the 4-site
 molecular model for chiral phenomena originally introduced by Latinwo et
 al. [F. Latinwo, F. H. Stillinger, and P. G. Debenedetti, Molecular Model
 for Chirality Phenomena, J. Chem. Phys. 145, 154503 (2016)]. The
 reformulation includes an additional 8-body force that arises from an
 explicit configuration-dependent term in the potential energy function,
 resulting in a coarse-grained energy-conserving force field for molecular
 dynamics simulations of chirality phenomena. In this model, the
 coarse-grained interaction energy between two tetramers depends on their
 respective chiralities, and is controlled by a parameter λ, where favors
 local configurations involving tetramers of opposite chirality, and gives
 energetic preference to configurations involving tetramers of the same
 chirality. The source code is for use with the LAMMPS simulation package.
 This software uses the LAMMPS - Large-Scale Atomic/Molecular Massively
 Parallel Simulator package by Steve Plimpton, Copyright (2003) Sandia
 Corporation, https://www.lammps.org. The source code for the chiral
 tetramer molecular model is derived from the LAMMPS source code.
DOI: 10.5281/zenodo.11370541
title: On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations - data release

description: This release contains all data and metadata used to prepare the publication On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations [2405.05765]. 

If you encounter difficulties downloading the large files, we recommend using zenodo-get. This provides a command-line downloader for any Zenodo record. For unstable connections we recommend using it with the -w flag to generate a list all files in this Zenodo record. This can then be used with tools such as wget to resume partial downloads as

zenodo_get RECORD_ID_OR_DOI -w - | xargs wget -czenodo_get RECORD_ID_OR_DOI 

(The second line ensures that the downloads completed correctly, and that the md5 hashes match)Further details are given in the file README.md.

The work of EB and BL is supported in part by the EPSRC ExCALIBUR programme ExaTEPP (project EP/X017168/1). The work of EB, BL, MP, and FZ has been supported by the STFC Consolidated Grant No. ST/X000648. The work of EB has also been supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1. The work of NF has been supported by the STFC Consolidated Grant No. ST/X508834/1. The work of DKH was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education   (NRF-2017R1D1A1B06033701). The work of DKH was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460). The work of JWL is supported by IBS under the project code, IBS-R018-D1. The work of HH and CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3 and NSTC grant 112-2112-M-A49-021-MY3. The work of CJDL is also supported by Grants No. 112-2639-M-002-006-ASP and No. 113-2119-M-007-013. The work of BL and MP has been further supported in part by the STFC  Consolidated Grant No. ST/T000813/1.BL and MP received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of DV is supported by STFC under Consolidated Grant No. ST/X000680/1.

Numerical simulations have been performed on the DiRAC Extreme Scaling service at the University of Edinburgh, and on the DiRAC Data Intensive service at Leicester.The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure
DOI: 10.5281/zenodo.11370542
title: On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations - data release

description: This release contains all data and metadata used to prepare the publication On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations [2405.05765]. 

If you encounter difficulties downloading the large files, we recommend using zenodo-get. This provides a command-line downloader for any Zenodo record. For unstable connections we recommend using it with the -w flag to generate a list all files in this Zenodo record. This can then be used with tools such as wget to resume partial downloads as

zenodo_get RECORD_ID_OR_DOI -w - | xargs wget -czenodo_get RECORD_ID_OR_DOI 

(The second line ensures that the downloads completed correctly, and that the md5 hashes match)Further details are given in the file README.md.

The work of EB and BL is supported in part by the EPSRC ExCALIBUR programme ExaTEPP (project EP/X017168/1). The work of EB, BL, MP, and FZ has been supported by the STFC Consolidated Grant No. ST/X000648. The work of EB has also been supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1. The work of NF has been supported by the STFC Consolidated Grant No. ST/X508834/1. The work of DKH was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education   (NRF-2017R1D1A1B06033701). The work of DKH was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460). The work of JWL is supported by IBS under the project code, IBS-R018-D1. The work of HH and CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3 and NSTC grant 112-2112-M-A49-021-MY3. The work of CJDL is also supported by Grants No. 112-2639-M-002-006-ASP and No. 113-2119-M-007-013. The work of BL and MP has been further supported in part by the STFC  Consolidated Grant No. ST/T000813/1.BL and MP received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of DV is supported by STFC under Consolidated Grant No. ST/X000680/1.

Numerical simulations have been performed on the DiRAC Extreme Scaling service at the University of Edinburgh, and on the DiRAC Data Intensive service at Leicester.The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure
DOI: 10.5281/zenodo.13349269
title: On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations - data release

description: This release contains all data and metadata used to prepare the publication On the mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations [2405.05765]. 

If you encounter difficulties downloading the large files, we recommend using zenodo-get. This provides a command-line downloader for any Zenodo record. For unstable connections we recommend using it with the -w flag to generate a list all files in this Zenodo record. This can then be used with tools such as wget to resume partial downloads as

zenodo_get RECORD_ID_OR_DOI -w - | xargs wget -czenodo_get RECORD_ID_OR_DOI 

(The second line ensures that the downloads completed correctly, and that the md5 hashes match)Further details are given in the file README.md.

The work of EB and BL is supported in part by the EPSRC ExCALIBUR programme ExaTEPP (project EP/X017168/1). The work of EB, BL, MP, and FZ has been supported by the STFC Consolidated Grant No. ST/X000648. The work of EB has also been supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1. The work of NF has been supported by the STFC Consolidated Grant No. ST/X508834/1. The work of DKH was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education   (NRF-2017R1D1A1B06033701). The work of DKH was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460). The work of JWL is supported by IBS under the project code, IBS-R018-D1. The work of HH and CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3 and NSTC grant 112-2112-M-A49-021-MY3. The work of CJDL is also supported by Grants No. 112-2639-M-002-006-ASP and No. 113-2119-M-007-013. The work of BL and MP has been further supported in part by the STFC  Consolidated Grant No. ST/T000813/1.BL and MP received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of DV is supported by STFC under Consolidated Grant No. ST/X000680/1.

Numerical simulations have been performed on the DiRAC Extreme Scaling service at the University of Edinburgh, and on the DiRAC Data Intensive service at Leicester.The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure
DOI: 10.15468/dl.fxjdwm
title: Occurrence Download

description: A dataset containing 1939696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dragonfly records from the British Dragonfly Society Recording Scheme",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1939696 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075937-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvzufr
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Copaifera religiosa J.Léonard)"
 ]
}

 The dataset includes 145 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075948-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smbnwx
title: Occurrence Download

description: A dataset containing 5241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is one of (ZHEJIANG PROV., ZHEJIANg)",
 "Year 2016-2016"
 ]
}

 The dataset includes 5241 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075949-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5q52fq85
title: MassIVE MSV000095652 - CX3CR1 modulates migration of resident microglia towards brain injury
title: Microglia are the innate immune cells of the brain. They are highly motile cells that screen the surrounding brain parenchyma on a minute timescale. In an ATP-dependent manner, microglia extend their processes towards an injury in the central nervous system (CNS). Microglia migrate towards ischemic sites within hours in vivo. However, whether the fractalkine receptor (CX3CR1) influences microglial migration remains unknown. Label free proteomic profiling pinpointed elevated motor dysfunction and differential changes in Rho GTPase signaling activity that indicated a dysregulated actin cytoskeleton signaling in Cx3cr1-deficient cortex. To investigate migration properties of microglia, we carried out 4-hour interval two-photon in vivo imaging for 72 hours after a laser lesion in the cortex. Cx3cr1-deficient mice showed enhanced migration towards the lesion. Not only cell body migration, but also length and velocity of microglial fine processes extending towards the lesion were increased in Cx3cr1-deficient microglia. Migration and number of migrating microglia remained unchanged in Ccr2-deficient mice, indicating that monocyte-derived macrophages/microglia did not contribute to migration and proliferation around the injury. These results demonstrate microglia migration towards CNS injury and suggest a role for CX3CR1 in modulating this process. Manipulating microglia migration may become an important target for the treatment of CNS-injury.
DOI: 10.15468/dl.bmqu5e
title: Occurrence Download

description: A dataset containing 14575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Cabo Verde, Egypt, Bangladesh, Cambodia, China, India, Indonesia, Iran (Islamic Republic of), Japan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Thailand, Viet Nam, Romania, Russian Federation, Canada, Costa Rica, Cuba, Dominica, Dominican Republic, El Salvador, Guatemala, Jamaica, United States of America, Australia, New Zealand, Papua New Guinea, Brazil, Venezuela (Bolivarian Republic of))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plutella xylostella (Linnaeus, 1767)"
 ]
}

 The dataset includes 14575 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075947-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7spa3a
title: Occurrence Download

description: A dataset containing 3881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Korea, Republic of, Russian Federation, China, Japan, Korea (Democratic People’s Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron mucronulatum Turcz."
 ]
}

 The dataset includes 3881 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075950-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg3n4z
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Crudia letouzeyi Breteler & Nguema)"
 ]
}

 The dataset includes 31 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075951-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.