cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10420396
title: Manual active layer and and water table depth measurements from the autochamber sites at Stordalen Mire, northern Sweden (2003-2017)

description: Files:



Active_Layer_Water_Table_03-17.xlsx - Data file, with main data in the "DATA" tab.

IsoGenieSite_AL_WTD_MapsVisualNotes_200310.pdf - Visual notes on the measurement locations.


The following site labels (with chamber numbers in parentheses) correspond to the main autochamber sites:



Dry (1,3,5) = Palsa Autochamber Site

Mesic (2,4,6) = Sphagnum Autochamber Site

Wet (7,8) = Eriophorum Autochamber Site


Water table depth (W D) was measured in wells.

Active layer depth (A L) was measured by inserting a metal rod into the surface. The original instruction page is included in page 3 of the pdf.

All depths are in centimeters (cm) below peat surface (i.e. peat or Sphagnum spp. vegetation surface = 0), with negative values indicating depth below the surface and positive values (for water table) indicating height of standing water above the surface. Blank data in the Palsa or water table column means no water table observed.

Staff gauge was added July 2006 at the edge of a small pond in the fen visible from the shack, with measurements reported in meters. All other measures are in cm.

 

FUNDING:

We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.

This research is a contribution of the EMERGE Biology Integration Institute, funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070. The IsoGenie Project (which funded much of the work at these sites during the measurement period) was funded by the Genomic Science Program of the United States Department of Energy Office of Biological and Environmental Research, grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440.
DOI: 10.5281/zenodo.10426445
title: Maternal glycemia in pregnancy is longitudinally associated with blood DNAm variation at the FSD1L gene from birth to 5 years of age

description: Taschereau, A., Thibeault, K., Allard, C., Juvinao-Quintero, D., Perron, P., Lutz, S. M., Bouchard, L., & Hivert, M. F. (2023). Maternal glycemia in pregnancy is longitudinally associated with blood DNAm variation at the FSD1L gene from birth to 5 years of age. Clinical epigenetics, 15(1), 107. https://doi.org/10.1186/s13148-023-01524-7

BackgroundIn utero exposure to maternal hyperglycemia has been associated with an increased risk for the development of chronic diseases in later life. These predispositions may be programmed by fetal DNA methylation (DNAm) changes that persist postnatally. However, although some studies have associated fetal exposure to gestational hyperglycemia with DNAm variations at birth, and metabolic phenotypes in childhood, no study has yet examined how maternal hyperglycemia during pregnancy may be associated with offspring DNAm from birth to five years of age.

HypothesisMaternal hyperglycemia is associated with variation in offspring DNAm from birth to 5 years of age.

MethodsWe estimated maternal hyperglycemia using the area under the curve for glucose (AUCglu) following an oral glucose tolerance test conducted at 24–30 weeks of pregnancy. We quantified DNAm levels in cord blood (n = 440) and peripheral blood at five years of age (n = 293) using the Infinium MethylationEPIC BeadChip (Illumina). Our total sample included 539 unique dyads (mother–child) with 194 dyads having DNAm at both time-points. We first regressed DNAm M-values against the cell types and child age for each time-point separately to account for the difference by time of measurement for these variables. We then used a random intercept model from the linear mixed model (LMM) framework to assess the longitudinal association between maternal AUCglu and the repeated measures of residuals of DNAm. We adjusted for the following covariates as fixed effects in the random intercept model: maternal age, gravidity, smoking status, child sex, maternal body mass index (BMI) (measured at first trimester of pregnancy), and a binary variable for time-point.

ResultsIn utero exposure to higher maternal AUCglu was associated with lower offspring blood DNAm levels at cg00967989 located in FSD1L gene (β = − 0.0267, P = 2.13 × 10–8) in adjusted linear regression mixed models. Our study also reports other CpG sites for which DNAm levels were suggestively associated (P < 1.0 × 10–5) with in utero exposure to gestational hyperglycemia. Two of these (cg12140144 and cg07946633) were found in the promotor region of PRDM16 gene (β: − 0.0251, P = 4.37 × 10–07 and β: − 0.0206, P = 2.24 × 10–06, respectively).

ConclusionMaternal hyperglycemia is associated with offspring DNAm longitudinally assessed from birth to 5 years of age.
DOI: 10.5281/zenodo.10426446
title: Maternal glycemia in pregnancy is longitudinally associated with blood DNAm variation at the FSD1L gene from birth to 5 years of age

description: Taschereau, A., Thibeault, K., Allard, C., Juvinao-Quintero, D., Perron, P., Lutz, S. M., Bouchard, L., & Hivert, M. F. (2023). Maternal glycemia in pregnancy is longitudinally associated with blood DNAm variation at the FSD1L gene from birth to 5 years of age. Clinical epigenetics, 15(1), 107. https://doi.org/10.1186/s13148-023-01524-7

BackgroundIn utero exposure to maternal hyperglycemia has been associated with an increased risk for the development of chronic diseases in later life. These predispositions may be programmed by fetal DNA methylation (DNAm) changes that persist postnatally. However, although some studies have associated fetal exposure to gestational hyperglycemia with DNAm variations at birth, and metabolic phenotypes in childhood, no study has yet examined how maternal hyperglycemia during pregnancy may be associated with offspring DNAm from birth to five years of age.

HypothesisMaternal hyperglycemia is associated with variation in offspring DNAm from birth to 5 years of age.

MethodsWe estimated maternal hyperglycemia using the area under the curve for glucose (AUCglu) following an oral glucose tolerance test conducted at 24–30 weeks of pregnancy. We quantified DNAm levels in cord blood (n = 440) and peripheral blood at five years of age (n = 293) using the Infinium MethylationEPIC BeadChip (Illumina). Our total sample included 539 unique dyads (mother–child) with 194 dyads having DNAm at both time-points. We first regressed DNAm M-values against the cell types and child age for each time-point separately to account for the difference by time of measurement for these variables. We then used a random intercept model from the linear mixed model (LMM) framework to assess the longitudinal association between maternal AUCglu and the repeated measures of residuals of DNAm. We adjusted for the following covariates as fixed effects in the random intercept model: maternal age, gravidity, smoking status, child sex, maternal body mass index (BMI) (measured at first trimester of pregnancy), and a binary variable for time-point.

ResultsIn utero exposure to higher maternal AUCglu was associated with lower offspring blood DNAm levels at cg00967989 located in FSD1L gene (β = − 0.0267, P = 2.13 × 10–8) in adjusted linear regression mixed models. Our study also reports other CpG sites for which DNAm levels were suggestively associated (P < 1.0 × 10–5) with in utero exposure to gestational hyperglycemia. Two of these (cg12140144 and cg07946633) were found in the promotor region of PRDM16 gene (β: − 0.0251, P = 4.37 × 10–07 and β: − 0.0206, P = 2.24 × 10–06, respectively).

ConclusionMaternal hyperglycemia is associated with offspring DNAm longitudinally assessed from birth to 5 years of age.
DOI: 10.5517/ccdc.csd.cc2h6bmp
title: CCDC 2300002: Experimental Crystal Structure Determination

description: Related Article: Qian-Qian Chen, Chun-Li Hu, Ming-Zhi Zhang, Jiang-Gao Mao|2023|Chemical Science|14|14302|doi:10.1039/D3SC05770D
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.cc2h6yzn
title: CCDC 2300602: Experimental Crystal Structure Determination

description: Related Article: Michelle Åhlén, Yi Zhou, Daniel Hedbom, Hae Sung Cho, Maria Strømme, Osamu Terasaki, Ocean Cheung|2023|J.Mater.Chem.A|11|26435|doi:10.1039/D3TA05297D
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.cc2h6z0q
title: CCDC 2300603: Experimental Crystal Structure Determination

description: Related Article: Michelle Åhlén, Yi Zhou, Daniel Hedbom, Hae Sung Cho, Maria Strømme, Osamu Terasaki, Ocean Cheung|2023|J.Mater.Chem.A|11|26435|doi:10.1039/D3TA05297D
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.cc2h6z1r
title: CCDC 2300604: Experimental Crystal Structure Determination

description: Related Article: Michelle Åhlén, Yi Zhou, Daniel Hedbom, Hae Sung Cho, Maria Strømme, Osamu Terasaki, Ocean Cheung|2023|J.Mater.Chem.A|11|26435|doi:10.1039/D3TA05297D
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.cc2h7755
title: CCDC 2300856: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Shelyganov, Mehdi Elsayed Moussa, Michael Seidl, Lisa Zimmermann, Wagner Menezes da Silva, Manfred Scheer|2023|Dalton Trans.|52|18137|doi:10.1039/D3DT03490A
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.cc2h7766
title: CCDC 2300857: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Shelyganov, Mehdi Elsayed Moussa, Michael Seidl, Lisa Zimmermann, Wagner Menezes da Silva, Manfred Scheer|2023|Dalton Trans.|52|18137|doi:10.1039/D3DT03490A
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.cc2h7777
title: CCDC 2300858: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Shelyganov, Mehdi Elsayed Moussa, Michael Seidl, Lisa Zimmermann, Wagner Menezes da Silva, Manfred Scheer|2023|Dalton Trans.|52|18137|doi:10.1039/D3DT03490A
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.cc2h7744
title: CCDC 2300855: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Shelyganov, Mehdi Elsayed Moussa, Michael Seidl, Lisa Zimmermann, Wagner Menezes da Silva, Manfred Scheer|2023|Dalton Trans.|52|18137|doi:10.1039/D3DT03490A
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.cc2h7788
title: CCDC 2300859: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Shelyganov, Mehdi Elsayed Moussa, Michael Seidl, Lisa Zimmermann, Wagner Menezes da Silva, Manfred Scheer|2023|Dalton Trans.|52|18137|doi:10.1039/D3DT03490A
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.cc2h7sfz
title: CCDC 2301391: Experimental Crystal Structure Determination

description: Related Article: Binyin Yu, Wenqing Han, Guokui Liu, Yaoyao Wei, Jing Wei, Yongshen Zheng, Yangyang Dang|2023|Inorg.Chem.|62|20520|doi:10.1021/acs.inorgchem.3c03720
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.cc2h7sg0
title: CCDC 2301392: Experimental Crystal Structure Determination

description: Related Article: Binyin Yu, Wenqing Han, Guokui Liu, Yaoyao Wei, Jing Wei, Yongshen Zheng, Yangyang Dang|2023|Inorg.Chem.|62|20520|doi:10.1021/acs.inorgchem.3c03720
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.cc2h7sh1
title: CCDC 2301393: Experimental Crystal Structure Determination

description: Related Article: Binyin Yu, Wenqing Han, Guokui Liu, Yaoyao Wei, Jing Wei, Yongshen Zheng, Yangyang Dang|2023|Inorg.Chem.|62|20520|doi:10.1021/acs.inorgchem.3c03720
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.cc2h7sj2
title: CCDC 2301394: Experimental Crystal Structure Determination

description: Related Article: Binyin Yu, Wenqing Han, Guokui Liu, Yaoyao Wei, Jing Wei, Yongshen Zheng, Yangyang Dang|2023|Inorg.Chem.|62|20520|doi:10.1021/acs.inorgchem.3c03720
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.cc2h7sk3
title: CCDC 2301395: Experimental Crystal Structure Determination

description: Related Article: Binyin Yu, Wenqing Han, Guokui Liu, Yaoyao Wei, Jing Wei, Yongshen Zheng, Yangyang Dang|2023|Inorg.Chem.|62|20520|doi:10.1021/acs.inorgchem.3c03720
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.cc28yz07
title: CCDC 2114169: Experimental Crystal Structure Determination

description: Related Article: Rais Ahmad Khan, Amal AlFawaz, Afnan Abdullah Alhamed, Nouf Abdulrahman AlMuryyi, Imran Hasan, Anup Paul, Sandeep Dey, Saad. G. Alshammari, Hadi D. Arman, Ali Alsalme|2023|New J.Chem.|47|22289|doi:10.1039/D3NJ03938B
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: 10.18739/a26h4cs12
title: Orthomosaic Image and Digital Surface Model for the South Fork Serpentine River Beaver Dams and Ponds, Seward Peninsula, Alaska, 13 August 2022

description: Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 13 August 2022 at the South Fork Serpentine River site on the Seward Peninsula, Alaska. 1,424 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 205 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.7.5) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 3 North in Ellipsoid Heights (meters).
DOI: 10.18739/a22v2cc0n
title: Orthomosaic Image and Digital Surface Model for the South Fork Serpentine River Beaver Dams and Ponds, Seward Peninsula, Alaska, 31 March 2022

description: Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 31 March 2022 at the South Fork Serpentine River site on the Seward Peninsula, Alaska. 1,072 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 155 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.7.5) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 3 North in Ellipsoid Heights (meters).
DOI: 10.5281/zenodo.10359768
title: Differential methylation analysis in neuropathological confirmed dementia with Lewy bodies

description: Authors: Paolo Reho, Sara Saez-Atienzar, Sultana Solaiman, Zalak Shah, Ruth Chia, Karri Kaivola, Bryan J. Traynor, Bension S. Tilley, Steve M. Gentleman, Angela K. Hodges, Dag Aarsland, Edwin S. Monuki, Kathy L. Newell, Randy Woltjer, Marilyn S. Albert, Ted M. Dawson, Liana S. Rosenthal, Juan C. Troncoso, Olga Pletnikova, Geidy E. Serrano, Thomas G. Beach, Hariharan P. Easwaran, Sonja W. Scholz

Epigenome-wide association study investigating epigenetic modulations in a cohort of neuropathologically confirmed dementia with Lewy bodies cases and neurologically healthy controls.
DOI: 10.5281/zenodo.10359769
title: Differential methylation analysis in neuropathological confirmed dementia with Lewy bodies

description: Authors: Paolo Reho, Sara Saez-Atienzar, Sultana Solaiman, Zalak Shah, Ruth Chia, Karri Kaivola, Bryan J. Traynor, Bension S. Tilley, Steve M. Gentleman, Angela K. Hodges, Dag Aarsland, Edwin S. Monuki, Kathy L. Newell, Randy Woltjer, Marilyn S. Albert, Ted M. Dawson, Liana S. Rosenthal, Juan C. Troncoso, Olga Pletnikova, Geidy E. Serrano, Thomas G. Beach, Hariharan P. Easwaran, Sonja W. Scholz

Epigenome-wide association study investigating epigenetic modulations in a cohort of neuropathologically confirmed dementia with Lewy bodies cases and neurologically healthy controls.