cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24421954.v1
title: A systematic scientometric review of paternal inheritance of acquired metabolic traits

description: Publicly available data used to produce the manuscript <i>"</i><i>A systematic scientometric review of paternal inheritance of acquired metabolic traits</i><i>"</i>. These include the scripts used for the initial Scopus bibliographical search and for extracting bibliographical information of selected publications, the spreadsheets with stepwise screening of the publications, the datasets used in the “Multiomics integration” section and the R script to process the multiomics datasets. Please find the abstract below:<b>Background:</b>The concept of the inheritance of acquired traits, a foundational principle of Lamarck's evolutionary theory, has garnered renewed attention in recent years. Evidence for this phenomenon remained limited for decades but gained prominence with the Överkalix cohort study in 2002. This study revealed a link between cardiovascular disease incidence and the food availability experienced by individuals' grandparents during their slow-growth periods, reigniting interest in the inheritance of acquired traits, particularly in the context of non-communicable diseases. This scientometric analysis and systematic review comprehensively explores the current landscape of paternally transmitted acquired metabolic traits.<b>Results:</b>Utilizing Scopus Advanced search and meticulous screening, we included mammalian studies that document the inheritance or modification of metabolic traits in subsequent generations of unexposed descendants. Our inclusive criteria encompass intergenerational and transgenerational studies, as well as multigenerational exposures. Predominantly, this field has been driven by a select group of researchers, potentially shaping the design and focus of existing studies. Consequently, the literature primarily comprises transgenerational rodent investigations into the effects of ancestral exposure to environmental pollutants on sperm DNA methylation. The complexity and volume of data often lead to multiple or redundant publications. This practice, while understandable, may obscure the true extent of the impact of ancestral exposures on the health of non-exposed descendants. In addition to DNA methylation, studies have illuminated the role of sperm RNAs and histone marks in paternally acquired metabolic disorders, expanding our understanding of the mechanisms underlying epigenetic inheritance.<b>Conclusions:</b>This review serves as a comprehensive resource, shedding light on the current state of research in this critical area of science, and underscores the need for continued exploration to uncover the full spectrum of paternally mediated metabolic inheritance.
DOI: 10.6084/m9.figshare.24407878
title: Tub1_Timelapses

description: ROIs of max. intensity projections of time lapses used for spindle montages. Strains were tagged with CloverGFP-Tub1.
DOI: 10.6084/m9.figshare.24407878.v1
title: Tub1_Timelapses

description: ROIs of max. intensity projections of time lapses used for spindle montages. Strains were tagged with CloverGFP-Tub1.
DOI: 10.6073/pasta/cf5fca360e0b2b2a7f6711babf13f347
title: Santa Barbara Channel Marine BON: Nearshore kelp forest integrated quad and swath survey, 1980-ongoing

description: The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of algae and invertebrates (both sessile and mobile) by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. The data table documents the number of organisms and the area over which that number was counted for calculation of areal abundance. Data were collected by human observation (divers using SCUBA) during regular surveys. The algae and invertebrate counts record the number of taxa found in each plot, including quad (small square plots such as 1 or 2 m2) and swath (large linear plots such as 60 m2). See Method and protocol for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.6084/m9.figshare.24424450
title: KT_SPB_TimeLapses

description: ROIs of max. intensity projections of time lapses used for kinetochore + SPB montages. Strains were tagged with Ndc80-mNeonGreen and Spc42-mCherry.
DOI: 10.6084/m9.figshare.24424450.v1
title: KT_SPB_TimeLapses

description: ROIs of max. intensity projections of time lapses used for kinetochore + SPB montages. Strains were tagged with Ndc80-mNeonGreen and Spc42-mCherry.
DOI: 10.6084/m9.figshare.24424513
title: NE_TimeLapses

description: ROIs of max. intensity projections of time lapses used for nuclear envelope montages. Strains were tagged with Hmg1-mCherry.
DOI: 10.6084/m9.figshare.24424513.v1
title: NE_TimeLapses

description: ROIs of max. intensity projections of time lapses used for nuclear envelope montages. Strains were tagged with Hmg1-mCherry.
DOI: 10.6084/m9.figshare.24422089
title: Expanded_Cells

description: Expanded 3-chromosome S.cerevisiae cells with spindle defects. Cells were labeled with pan protein label NHS ester and for tubulin.
DOI: 10.6084/m9.figshare.24422089.v1
title: Expanded_Cells

description: Expanded 3-chromosome S.cerevisiae cells with spindle defects. Cells were labeled with pan protein label NHS ester and for tubulin.
DOI: 10.21223/l5p4ry/8g45au
title: TVIT200612_HUANCN_B1C5.xls

description: :unav
DOI: 10.21223/l5p4ry/4jsrt1
title: 01_Fieldbook_TMIN200612_HUANCN_B1C5.txt

description: :unav
DOI: 10.21223/l5p4ry/rrkfjc
title: 03_Fieldbook_TPHE200612_HUANCN_B1C5.txt

description: :unav
DOI: 10.21223/l5p4ry/br5hte
title: 02_Fieldbook_TVIT200612_HUANCN_B1C5.txt

description: :unav
DOI: 10.21223/l5p4ry/5uw1i8
title: 05_Datadictionary.txt

description: :unav
DOI: 10.21223/l5p4ry/fb0vwc
title: TMIN200612_HUANCN_B1C5.xls

description: :unav
DOI: 10.21223/l5p4ry/eicom2
title: TPHE200612_HUANCN_B1C5.xls

description: :unav
DOI: 10.21223/l5p4ry/4ehipc
title: 04_Material_list.txt

description: :unav
DOI: 10.21223/l5p4ry
title: Dataset for: Assessment of Micronutrient Concentrations in Potato Clones from the B1C5 Population in Huancani, Junin - 2006

description: An analysis of micronutrient concentrations, including minerals, phenolic compounds, and vitamin C, was conducted on 40 potato clones B1C5 population in the Huancani region of Junin in 2006. The study utilized a completely randomized design (CRD) with two replications.
DOI: 10.7907/z95d8ptz
title: Waveform plot data used in 'Evidence for Universal Earthquake Rupture Initiation Behavior'

description: [Description of dataset] This data set contains a plot of all waveforms used in this study, including acceleration, velocity, displacement, prelogram and log(Pd) vs log(time)
description: © 2016 American Geophysical Union. 

Accepted manuscript online: 29 July 2016. 

We are grateful to Hiroo Kanamori, Nadia Lapusta, Jean-Paul Ampuero, Nicolas Deichmann, Shunta Noda, Yannik Behr, Alice Gabriel, Stephen Perry and Natalie Higgins for discussions that helped to advance this project, and to Chaoyong Peng for the help with the Wenchuan earthquake data. This work was partly funded by ETH Zurich ETHIIRA grant ETH-22 10-3.
description: Supplemental Material - wforms_Meier_etal_2016_GRL.zip
DOI: 10.6084/m9.figshare.24424591
title: Metrosideros polymorpha spatial distribution data on Hawaii Island at 2 and 30 m resolution

description: Using airborne imaging spectroscopy and LiDAR data processed over 28,000 km<sup><strong>2</strong></sup> of area at a 2 m spatial resolution, we developed a spatial dataset of <i>M. polymorpha</i> canopies across Hawai’i IslandPlease cite the following if you use this dataset. Seeley, M. M., Vaughn, N. R., Shanks, B. L., Martin, R. E., König, M., & Asner, G. P. (2023). Classifying a highly polymorphic tree species across landscapes using airborne imaging spectroscopy. <i>Remote Sensing</i>, <i>15</i>(18), 4365.
DOI: 10.6084/m9.figshare.24424591.v1
title: Metrosideros polymorpha spatial distribution data on Hawaii Island at 2 and 30 m resolution

description: Using airborne imaging spectroscopy and LiDAR data processed over 28,000 km<sup><strong>2</strong></sup> of area at a 2 m spatial resolution, we developed a spatial dataset of <i>M. polymorpha</i> canopies across Hawai’i IslandPlease cite the following if you use this dataset. Seeley, M. M., Vaughn, N. R., Shanks, B. L., Martin, R. E., König, M., & Asner, G. P. (2023). Classifying a highly polymorphic tree species across landscapes using airborne imaging spectroscopy. <i>Remote Sensing</i>, <i>15</i>(18), 4365.
DOI: 10.6084/m9.figshare.24424621
title: Tub1_SnapShots

description: ROIs of max. intensity projections of snapshots used for analysing spindle curvature. Strains were tagged with CloverGFP-Tub1.
DOI: 10.6084/m9.figshare.24424621.v1
title: Tub1_SnapShots

description: ROIs of max. intensity projections of snapshots used for analysing spindle curvature. Strains were tagged with CloverGFP-Tub1.
DOI: 10.6084/m9.figshare.24424637.v1
title: Epigenome-wide association study of systemic effects of obesity susceptibility in human twins

description: The current study was designed to use an epigenome-wide association approach (EWAS) to identify potential systemic DNA methylation alterations that are associated with obesity using 22 discordant twin pairs. Buccal cells (from a cheek swab) were used as a non-obesity relevant purified marker cell for the epigenetic analysis. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. An edgeR analysis provided a DMR signature with <i>p</i> &lt; 1e-04, but statistical significance was reduced due to low sample size and known multiple origins of obesity. A weighted gene coexpression network analysis (WGCNA) was performed and identified modules (<i>p</i> &lt; 0.005) of epigenetic sites that correlated with different metabolic and dietary measures. The DMR and WGCNA epigenetic sites were near genes (e.g., CIDEC, SPP1, ZFPG9, and POMC) with previously identified obesity associated pathways (e.g., metabolism, cholesterol, and fat digestion). Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins.A weighted genome coexpression network analysis (WGCNA) was performed and identified modules of epigenetic sites that correlated with different metabolic and dietary measures.Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes.The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. A weighted genome coexpression network analysis (WGCNA) was performed and identified modules of epigenetic sites that correlated with different metabolic and dietary measures. Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life.
DOI: 10.6084/m9.figshare.24424637
title: Epigenome-wide association study of systemic effects of obesity susceptibility in human twins

description: The current study was designed to use an epigenome-wide association approach (EWAS) to identify potential systemic DNA methylation alterations that are associated with obesity using 22 discordant twin pairs. Buccal cells (from a cheek swab) were used as a non-obesity relevant purified marker cell for the epigenetic analysis. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. An edgeR analysis provided a DMR signature with <i>p</i> &lt; 1e-04, but statistical significance was reduced due to low sample size and known multiple origins of obesity. A weighted gene coexpression network analysis (WGCNA) was performed and identified modules (<i>p</i> &lt; 0.005) of epigenetic sites that correlated with different metabolic and dietary measures. The DMR and WGCNA epigenetic sites were near genes (e.g., CIDEC, SPP1, ZFPG9, and POMC) with previously identified obesity associated pathways (e.g., metabolism, cholesterol, and fat digestion). Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins.A weighted genome coexpression network analysis (WGCNA) was performed and identified modules of epigenetic sites that correlated with different metabolic and dietary measures.Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes.The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. A weighted genome coexpression network analysis (WGCNA) was performed and identified modules of epigenetic sites that correlated with different metabolic and dietary measures. Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life.
DOI: 10.6073/pasta/d6de3e0925163394b5e0acfc72e1fe2b
title: Santa Barbara Channel Marine BON: Nearshore kelp forest integrated fish, 1981-ongoing

description: The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of fish (including cryptic fish, which are deliberately sought out) produced by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects, the Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1980 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. This dataset includes five entities, three data tables and two R scripts. The main data table contains counts of organisms, the bottom-area and height of the water column over which the fish were surveyed. The column labeled “count” records the number of organisms found in each plot/transect at a given timestamp. A second data table contains place names and geolocation for sampling sites. Information is sufficient for the calculation of fish density, which is left to the user. The third data table contains the depths of each transect the for the fish survey. Sample R script is included to illustrate generation of a basic table of areal density by taxa and sampling site. A second R script is included to convert these data from their primary MBON structure to a Darwin Core Archive (and available through multiple sources). MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.25345/c5m32nm6q
title: MassIVE MSV000093178 - AlMismar_extracelullarTurboID_VS2_VS3_2023
title: This dataset consists of 102 raw MS files and associated peak lists and result files, 24 acquired on a TripleTOF 6600 and 78 acquired on a TimsTOF pro mass spectrometer operated in Data Dependent Acquisition mode. Additionally, there are 6 raw files acquired on a TimsTOF pro mass spectrometer operated in Data Independent Acquisition. Sample generation, affinity purification and data analysis were done by Rasha Al Mismar. Sample acquisition was done by Rasha Al Mismar and Brendon Seale. Clones were generated by Payman Samavarchi-Tehrani and Rasha Al Mismar. The files are associated with a manuscript submitted for publication by Al Mismar et al. that optimizes an extracellular BioID approach and identifies LDLR as an extracellular proximity partner of EGFR upon ligand stimulation. Anne-Claude Gingras is the corresponding author of the manuscript and should be contacted for questions on this dataset (gingras@lunenfeld.ca)
DOI: 10.34740/kaggle/dsv/6778395
title: Violent Deaths at School
DOI: 10.21223/nfvd8u/ipnjew
title: 06_Data_Dictionary.txt

description: :unav
DOI: 10.21223/nfvd8u/odsvpo
title: 05_Material_list.txt

description: :unav
DOI: 10.21223/nfvd8u/ovrwvc
title: TMIN200611_CCASAP_Tillaje.xls

description: :unav
DOI: 10.21223/nfvd8u/uzoogq
title: TVIT200611_CCASAP_Tillaje.xls

description: :unav
DOI: 10.21223/nfvd8u
title: Dataset for: Micronutrient Concentration Assessment in Potato Varieties with Varied Tillage Treatments in Huancavelica, 2006

description: A micronutrient analysis was conducted on iron, zinc, and vitamin C using three potato varieties: Canchan, Peruanita, and Suytu shiri. This was done under a factorial design with three tillage treatments: Barcheccho, Chacma, and Chiwa, and two fertilizer treatments: guano and NPK, in the Ccasapata and Santa Rosa locality in the Huancavelica region.
DOI: 10.21223/nfvd8u/1eoxrm
title: TMIN200611_HUANC_Santa_Rosa_Tillaje.xls

description: :unav
DOI: 10.21223/nfvd8u/7rh5gr
title: 04_Fieldbook_TVIT200611_HUANC_Santa_Rosa_Tillaje.txt

description: :unav
DOI: 10.21223/nfvd8u/dllngy
title: TVIT200611_HUANC_Santa_Rosa_Tillaje.xls

description: :unav
DOI: 10.21223/nfvd8u/his3uv
title: 02_Fieldbook_TVIT200611_CCASAP_Tillaje.txt

description: :unav
DOI: 10.21223/nfvd8u/vxfo50
title: 01_Fieldbook_TMIN200611_CCASAP_Tillaje.txt

description: :unav
DOI: 10.21223/nfvd8u/zata2u
title: 03_Fieldbook_TMIN200611_HUANC_Santa_Rosa_Tillaje.txt

description: :unav
DOI: 10.21223/uzxxjp/wxqbja
title: 02_Fieldbook_TVIT200612_HUANCN_PD.txt

description: :unav
DOI: 10.21223/uzxxjp/8vceyj
title: 05_Data_Dictionary.txt

description: :unav
DOI: 10.21223/uzxxjp/oaby8h
title: TVIT200612_HUANCN_PD.xls

description: :unav
DOI: 10.21223/uzxxjp/tmdngp
title: 03_Material_list.txt

description: :unav
DOI: 10.21223/uzxxjp/ldf2r1
title: 01_Fieldbook_TCAR200612_HUANCN_PD.txt

description: :unav
DOI: 10.21223/uzxxjp/jikdxc
title: TCAR200612_HUANCN_PD.xls

description: :unav
DOI: 10.21223/uzxxjp
title: Dataset for: Phenolic Compound and Vitamin C analysis in Potato Clones , Huancani, Junin - 2006

description: This study aimed to assess changes in polyphenolic components and vitamin C in 15 clones under a Completely Randomized Design design with two replications in 2006 in the locality of Huancani, Junin.
DOI: 10.34740/kaggle/dsv/6778500
title: Violent Deaths at School
DOI: 10.6084/m9.figshare.21779129
title: Data for the manuscript: Land-cover change in Cuba and how it is affecting the areas of distribution of <i>Omphalea </i>(Angiosperma: Euphorbiaceae) and <i>Urania boisduvalii</i> (Lepidoptera: Uraniidae)

description: Data for the manuscript: Land-cover change in Cuba and how it is affecting the areas of distribution of <i>Omphalea </i>(Angiosperma: Euphorbiaceae) and <i>Urania boisduvalii</i> (Lepidoptera: Uraniidae)