cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5kssw6zvzx.2
title: Off-channel aquatic habitat use by river otters and other vertebrates in the Central Platte River Valley, NE

description: We employed a multi-camera non-linear array sampling design to understand river otter habitat-use patterns in natural and artificial off-channel wetlands along the Platte River. We surveyed 10 off-channel aquatic habitats between 13 February to 15 October 2019. The sites were comprised of 5 pond and 5 slough sites. Each site consisted of a 100-130-meter non-linear array of 3 camera traps placed on existing wildlife trails along the banks of an off-channel aquatic habitat. Individual cameras were spaced between 40 and 75 meters apart within each array, depending upon conditions (availability of animal trails and appropriate topography). Habitat variables were collected at two spatial scales including the macrosite (broader aquatic environment; n = 10) and the microsite (trail along terrestrial-aquatic boundary; n = 30). In addition to documenting river otter occurrences, we recorded all identifiable vertebrate species from camera trap surveys. Therefore, this database has habitat modeling value for a range of other species including mammals such as the American Mink (Neovison vison), American Beaver (Castor canadensis), and Muskrat (Ondatra zibethicus) as well as birds such as the Great Blue Heron (Ardea herodias) or Canada goose (Branta canadensis). Some habitat variables are congruent across spatial scales and others differ. Macrosite habitat variables included maximum and average water depth (m), total water surface area (ac), water pH, water total hardness, mean distance to the river (m), mean distance to dirt road (m), mean distance to paved road (m), mean distance highway (m), mean distance to building (m), mean distance to woodland (m), mean vegetation cover across multiple height classes, the proportional cover of graminoids, forbs, woody species, and groundcover as litter. Microsite variables included all the same distance and vegetation cover metrics but also included bank slope, bank height (m), and control variables like the trail camera height and distance of the camera to the trail. The wetland depth profile was not considered at the microsite level as it reflected features of the larger waterbody. We included river otter scat detection as a validation technique for our river otter relative use metrics which included river otter presence/absence, total river otter captures per camera month, river otter young presence/absence, and river otter young captures per camera month.
DOI: 10.18738/t8/uoes4s/lblzah
title: Vid2RealPhase2_P12_kinect_000086.png
DOI: 10.18738/t8/uoes4s/f26awb
title: Vid2RealPhase2_P12_kinect_000059.png
DOI: 10.17632/f9j6w735m6.1
title: From Genes to Longevity: Identifying Modifiable Risk Factors That Accelerate or Delay Aging

description: Background With global aging, slowing aging is an urgent priority. While inevitable, aging rate may be modifiable by various environmental factors. This study aims to identify modifiable factors that have causal associations with aging. This can inform strategies to extend healthspan and mitigate the societal burden of aging. Methods and Design We evaluated 57 potentially modifiable risk factors for their associations with aging by using a two-sample bidirectional Mendelian randomization (MR) framework from Genome-wide association studies of 2,913 to 1,405,995 individuals who were predominantly of European descent. MR analyses were primarily conducted using the inverse-variance-weighted method, followed by various sensitivity analyses. Results Among 57 potentially risk factors, we identified ferritin, transferrin saturation, the initial stage of smoking, body mass index and systolic blood pressure as key factors that significantly contribute to accelerated aging. Primarily, ferritin exhibits a noteworthy impact on GrimAge acceleration (β [SE] per 1-SD increase: 0.646 [0.101] year), PhenoAge acceleration (per 1-SD increase: 0.565 [0.138] year), and telomere length (per 1-SD increase: -0.570 [0.169] year). Moderate indicators include leisure screen time, osteoarthritis and daily cigarette consumption. Meanwhile, educational attainment was identified as an effective factor in slowing the aging process. Sensitivity analyses corroborated the robustness of these causal associations. Conclusion The study provides unique quantitative insights into modifiable causal risk factors for aging. Our findings underscore valuable intervention targets capable of slowing biological aging and fostering healthy longevity - an indispensable reference for public health strategies and relevant clinical scenarios.
DOI: 10.17632/f9j6w735m6.2
title: From Genes to Longevity: Identifying Modifiable Risk Factors That Accelerate or Delay Aging

description: Background
With global aging, slowing aging is an urgent priority. While inevitable, aging rate may be modifiable by various environmental factors. This study aims to identify modifiable factors that have causal associations with aging. This can inform strategies to extend healthspan and mitigate the societal burden of aging.
Methods and Design
We evaluated 51 potentially modifiable risk factors for their associations with aging by using a two-sample bidirectional Mendelian randomization (MR) framework from Genome-wide association studies of 12,230 to 766,345 individuals who were predominantly of European descent. MR analyses were primarily conducted using the inverse-variance-weighted method, followed by various sensitivity analyses.
Results
Among 51 potentially risk factors, we identified systolic blood pressure, transferrin saturation, body mass index, osteoarthritis and C reactive protein as key factors that significantly contribute to accelerated aging. Primarily, transferrin saturation exhibits a noteworthy impact on Hannum Age acceleration (β [SE] per 1-SD increase: 0.293 [0.081] year), Horvath Age acceleration (0.327 [0.104] year), GrimAge acceleration (0.273 [0.083] year) and PhenoAge acceleration (0.417 [0.106] year). Meanwhile, educational attainment was identified as an effective factor in slowing the aging process. This study provides unique quantitative insights into modifiable causal risk factors for aging. 
Conclusion
The study provides unique quantitative insights into modifiable causal risk factors for aging. Our findings underscore valuable intervention targets capable of slowing biological aging and fostering healthy longevity - an indispensable reference for public health strategies and relevant clinical scenarios.
DOI: 10.17632/f9j6w735m6.3
title: Identifying modifiable factors that accelerate or delay aging from genetic variations

description: Background
With global aging, slowing aging is an urgent priority. While inevitable, aging rate may be modifiable by various environmental factors. This study aims to identify modifiable factors that have causal associations with aging. This can inform strategies to extend healthspan and mitigate the societal burden of aging.
Methods and Design
We evaluated 51 potentially modifiable risk factors for their associations with aging by using a two-sample bidirectional Mendelian randomization (MR) framework from Genome-wide association studies of 12,230 to 766,345 individuals who were predominantly of European descent. MR analyses were primarily conducted using the inverse-variance-weighted method, followed by various sensitivity analyses.
Results
Among 51 potentially risk factors, we identified systolic blood pressure, transferrin saturation, body mass index, osteoarthritis and C reactive protein as key factors that significantly contribute to accelerated aging. Primarily, transferrin saturation exhibits a noteworthy impact on Hannum Age acceleration (β [SE] per 1-SD increase: 0.293 [0.081] year), Horvath Age acceleration (0.327 [0.104] year), GrimAge acceleration (0.273 [0.083] year) and PhenoAge acceleration (0.417 [0.106] year). Meanwhile, educational attainment was identified as an effective factor in slowing the aging process. This study provides unique quantitative insights into modifiable causal risk factors for aging. 
Conclusion
The study provides unique quantitative insights into modifiable causal risk factors for aging. Our findings underscore valuable intervention targets capable of slowing biological aging and fostering healthy longevity - an indispensable reference for public health strategies and relevant clinical scenarios.
DOI: 10.18738/t8/uoes4s/fqyrke
title: Vid2RealPhase2_P12_kinect_000088.png
DOI: 10.17632/f9j6w735m6.4
title: Identifying modifiable factors that accelerate or delay aging from genetic variations

description: Background
With global aging, slowing aging is an urgent priority. While inevitable, aging rate may be modifiable by various environmental factors. This study aims to identify modifiable factors that have causal associations with aging. This can inform strategies to extend healthspan and mitigate the societal burden of aging.
Methods and Design
We evaluated 51 potentially modifiable risk factors for their associations with aging by using a two-sample bidirectional Mendelian randomization (MR) framework from Genome-wide association studies of 12,230 to 766,345 individuals who were predominantly of European descent. MR analyses were primarily conducted using the inverse-variance-weighted method, followed by various sensitivity analyses.
Results
Among 51 potentially risk factors, we identified systolic blood pressure, transferrin saturation, body mass index, osteoarthritis and C reactive protein as key factors that significantly contribute to accelerated aging. Primarily, transferrin saturation exhibits a noteworthy impact on Hannum Age acceleration (β [SE] per 1-SD increase: 0.293 [0.081] year), Horvath Age acceleration (0.327 [0.104] year), GrimAge acceleration (0.273 [0.083] year) and PhenoAge acceleration (0.417 [0.106] year). Meanwhile, educational attainment was identified as an effective factor in slowing the aging process. This study provides unique quantitative insights into modifiable causal risk factors for aging. 
Conclusion
The study provides unique quantitative insights into modifiable causal risk factors for aging. Our findings underscore valuable intervention targets capable of slowing biological aging and fostering healthy longevity - an indispensable reference for public health strategies and relevant clinical scenarios.
DOI: 10.18738/t8/uoes4s/khaur7
title: Vid2RealPhase2_P12_kinect_000101.png
DOI: 10.18738/t8/uoes4s/rfip55
title: Vid2RealPhase2_P12_kinect_000025.png
DOI: 10.18738/t8/uoes4s/ynkwq4
title: Vid2RealPhase2_P12_kinect_000022.png
DOI: 10.5284/1123011
title: Data from an Archaeological Evaluation at South of Rose Farm, Longwick, Buckinghamshire, July-August 2019

description: This digital archive comprises images, vector, spreadsheet, GIS, report and site record data from an evaluation at Land South of Rose Farm, Longwick, Buckinghamshire (NGR SP 78603 05065). The work was undertaken by John Moore Heritage Services in July and August 2019. The evaluation was successful in determining the archaeological character of the site. 7 trenches contained archaeological features; of particular interest were two small pits containing charcoal rich fills in trenches 8 and 10. Ditches and shallow gulleys were present in trenches 1, 4, 8 and 11; with the exception of trench 11 these were found in association with possible posthole features. The date of these features is unclear, however they do not appear to correspond to the alignment of the ridge and furrow, perhaps suggesting an earlier date. Extant ridge and furrow was visible across the southern half of the site and furrows were seen to truncate the natural geology in places. The shallow depth of many features and the lack of a natural subsoil indicates that medieval and post-medieval ploughing of the site has resulted in relatively substantial truncation of any surviving archaeology.
DOI: 10.18738/t8/uoes4s/cry7ki
title: Vid2RealPhase2_P12_kinect_000106.png
DOI: 10.18738/t8/uoes4s/jmhili
title: Vid2RealPhase2_P12_kinect_000017.png
DOI: 10.18738/t8/uoes4s/cm0x4o
title: Vid2RealPhase2_P12_kinect_000010.png
DOI: 10.18738/t8/uoes4s/jfuzau
title: Vid2RealPhase2_P12_kinect_000062.png
DOI: 10.17632/mjg877mkby.1
title: Toxin candidates identified by DeTox in the paired-end transcriptome of the false coral Savalia savaglia

description: This dataset contains relevant outputs containing toxin candidates identified by “DeTox: a pipeline for the detection of toxins in venomous organisms” applied to the paired-end transcriptome outputs from the RNAseq analyses of the false coral Savalia savaglia. The dataset includes the following files:

• DeTox_output_Ss_PE_candidate_toxins.fasta: FASTA file containing sequences of toxin candidates identified in the paired-end transcriptome of the false coral Savalia savaglia.

• DeTox_output_Ss_PE_toxins.tsv: TSV file providing detailed annotations and information on the toxin candidates detected in the paired-end transcriptome of the false coral Savalia savaglia.
DOI: 10.17632/mjg877mkby.2
title: Toxin candidates identified by DeTox in the paired-end transcriptome of the false coral Savalia savaglia

description: This dataset contains relevant outputs containing toxin candidates identified by “DeTox: a pipeline for the detection of toxins in venomous organisms” applied to the paired-end transcriptome outputs from the RNAseq analyses of the false coral Savalia savaglia. The dataset includes the following files:

• DeTox_output_Ss_PE_candidate_toxins.fasta: FASTA file containing sequences of toxin candidates identified in the paired-end transcriptome of the false coral Savalia savaglia.

• DeTox_output_Ss_PE_toxins.tsv: TSV file providing detailed annotations and information on the toxin candidates detected in the paired-end transcriptome of the false coral Savalia savaglia.
DOI: 10.17632/mjg877mkby.3
title: Toxin candidates identified by DeTox in the paired-end transcriptome of the false black coral Savalia savaglia

description: This dataset contains relevant outputs containing toxin candidates identified by “DeTox: a pipeline for the detection of toxins in venomous organisms” applied to the paired-end transcriptome outputs from the RNAseq analyses of the false black coral Savalia savaglia. The dataset includes the following files:

• DeTox_output_Ss_PE_candidate_toxins.fasta: FASTA file containing sequences of toxin candidates identified in the paired-end transcriptome of the false black coral Savalia savaglia.

• DeTox_output_Ss_PE_toxins.tsv: TSV file providing detailed annotations and information on the toxin candidates detected in the paired-end transcriptome of the false black coral Savalia savaglia.
DOI: 10.18738/t8/uoes4s/xggig9
title: Vid2RealPhase2_P12_kinect_000019.png
DOI: 10.18738/t8/uoes4s/qwv3fe
title: Vid2RealPhase2_P12_kinect_000065.png
DOI: 10.18738/t8/uoes4s/ojkkhu
title: Vid2RealPhase2_P12_kinect_000054.png
DOI: 10.18738/t8/uoes4s/evflax
title: Vid2RealPhase2_P12_kinect_000085.png
DOI: 10.17632/32ncbgtw59.1
title: Tumor-Associated Schwann Cell Remodeling under Metabolic Stress via Lactate Sensing Orchestrates

description: Diabetes mellitus (DM) is a known risk factor for pancreatic cancer, but the underlying mechanisms remain elusive. Using in vivo models of diabetes-driven pancreatic tumorigenesis and metabolomics analysis, we demonstrate that metabolic stress induced by DM promotes pancreatic cancer progression by remodeling tumor-associated Schwann cells (TASs), impairing CD8+ T cell function. We discover that Mettl16+ Cd276+ Nectin2+ Schwann cells play a crucial role in mediating the pro-carcinogenic effects of lactate. Remodeled METTL16+ Schwann cells secret immune evasion factors (CD276, NECTIN2), contributing to anti-PD1 resistance. Furthermore, rosuvastatin was identified in this study as a novel METTL16 inhibitor for pancreatic cancer under metabolic stress. In conclusion, our study underscores the critical role of lactate in the metabolic reprogramming of pancreatic cancer mediated by Schwann cell remodeling, revealing novel pathways for therapeutic intervention.
Biotin pull-down assay
The Magic Dynabeads MyOne Streptavidin T1 were pre-incubated with free biotin or biotinylated lactate at room temperature for 30 minutes to saturate the bead surface with biotin. Subsequently, the pre-treated beads were mixed with the cell lysate of interest and incubated overnight at 4°C with rotation. The beads were then washed four times with PBS buffer to remove non-specifically bound molecules. After washing, the proteins were separated from the beads, and the presence and expression levels of the target protein were detected using techniques such as Western blotting or proteomics.
DOI: 10.18738/t8/uoes4s/itlurv
title: Vid2RealPhase2_P12_kinect_000028.png
DOI: 10.18738/t8/uoes4s/fccskn
title: Vid2RealPhase2_P12_kinect_000053.png
DOI: 10.18738/t8/uoes4s/tx35nw
title: Vid2RealPhase2_P12_kinect_000082.png
DOI: 10.18738/t8/uoes4s/jxemsp
title: Vid2RealPhase2_P12_kinect_000021.png
DOI: 10.18738/t8/uoes4s/gjtaum
title: Vid2RealPhase2_P12_kinect_000105.png
DOI: 10.21227/qyzd-gm93
title: Dataset for LEIC

description: Visible and infrared DoFP images.  Visible DoFP images were taken by the North Guangwei UMC4A-PU0A Micro DoFP LWIR polarization imager, which consists of an array of wire-grid micro-polarizers, with a resolution of 640 × 512 and a 14 bits depth. Infrared DoFP images were taken by Daheng Imaging MER2-503-36U3M POL DoFP visible polarization imager, which employs a monochromatic quad-polarizer array at a resolution of 2448×2048, an 8 bits depth and a frame rate of 36 frames/s.
DOI: 10.18738/t8/uoes4s/4y94zv
title: Vid2RealPhase2_P12_kinect_000102.png
DOI: 10.18738/t8/uoes4s/g108uy
title: Vid2RealPhase2_P12_kinect_000026.png
DOI: 10.18738/t8/uoes4s/englxq
title: Vid2RealPhase2_P12_kinect_000013.png
DOI: 10.18738/t8/uoes4s/pmgarp
title: Vid2RealPhase2_P12_kinect_000014.png
DOI: 10.18738/t8/uoes4s/n3i93x
title: Vid2RealPhase2_P12_kinect_000068.png
DOI: 10.18738/t8/uoes4s/ghedxb
title: Vid2RealPhase2_P12_kinect_000066.png
DOI: 10.18738/t8/uoes4s/eq5kgu
title: Vid2RealPhase2_P12_kinect_000061.png
DOI: 10.18738/t8/uoes4s/vik3mr
title: Vid2RealPhase2_P12_kinect_000070.png
DOI: 10.18738/t8/uoes4s/pblngk
title: Vid2RealPhase2_P12_kinect_000077.png
DOI: 10.18738/t8/uoes4s/mmcxzz
title: Vid2RealPhase2_P12_kinect_000005.png
DOI: 10.18738/t8/uoes4s/fhby74
title: Vid2RealPhase2_P12_kinect_000121.png
DOI: 10.18738/t8/uoes4s/n6vlqh
title: Vid2RealPhase2_P12_kinect_000079.png
DOI: 10.18738/t8/uoes4s/0vwpnw
title: Vid2RealPhase2_P12_kinect_000002.png
DOI: 10.18738/t8/uoes4s/hnoixs
title: Vid2RealPhase2_P12_kinect_000113.png
DOI: 10.18738/t8/uoes4s/q3z2jz
title: Vid2RealPhase2_P12_kinect_000037.png
DOI: 10.57967/hf/3225
title: coco-clip-vit-l-14
DOI: 10.18738/t8/uoes4s/z3djhu
title: Vid2RealPhase2_P12_kinect_000030.png
DOI: 10.18738/t8/uoes4s/bby99m
title: Vid2RealPhase2_P12_kinect_000114.png
DOI: 10.18738/t8/uoes4s/irgyse
title: Vid2RealPhase2_P12_kinect_000093.png
DOI: 10.18738/t8/uoes4s/pcg4n1
title: Vid2RealPhase2_P12_kinect_000042.png
DOI: 10.18738/t8/uoes4s/jhp07u
title: Vid2RealPhase2_P12_kinect_000094.png
DOI: 10.18738/t8/uoes4s/hmkdea
title: Vid2RealPhase2_P12_kinect_000045.png
DOI: 10.18738/t8/uoes4s/lzfo0t
title: Vid2RealPhase2_P12_kinect_000039.png
DOI: 10.18738/t8/uoes4s/an1huv
title: Vid2RealPhase2_P12_kinect_000060.png
DOI: 10.15468/dl.pg2etp
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kassina cassinoides (Boulenger, 1903)"
 ]
}

 The dataset includes 67 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005712-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/pqydgh
title: Vid2RealPhase2_P12_kinect_000067.png
DOI: 10.18738/t8/uoes4s/n8zwfb
title: Vid2RealPhase2_P12_kinect_000015.png
DOI: 10.18738/t8/uoes4s/g8ccyr
title: Vid2RealPhase2_P12_kinect_000069.png
DOI: 10.18738/t8/uoes4s/5ompeg
title: Vid2RealPhase2_P12_kinect_000012.png
DOI: 10.18738/t8/uoes4s/bzabkp
title: Vid2RealPhase2_P12_kinect_000103.png
DOI: 10.18738/t8/uoes4s/dzb22g
title: Vid2RealPhase2_P12_kinect_000027.png
DOI: 10.18738/t8/uoes4s/fjosvr
title: Vid2RealPhase2_P12_kinect_000020.png
DOI: 10.18738/t8/uoes4s/yny82p
title: Vid2RealPhase2_P12_kinect_000104.png
DOI: 10.18738/t8/uoes4s/apvkdo
title: Vid2RealPhase2_P12_kinect_000052.png
DOI: 10.18738/t8/uoes4s/kcb8ql
title: Vid2RealPhase2_P12_kinect_000083.png
DOI: 10.18738/t8/uoes4s/p6btqw
title: Vid2RealPhase2_P12_kinect_000055.png
DOI: 10.18738/t8/uoes4s/mhwykb
title: Vid2RealPhase2_P12_kinect_000084.png
DOI: 10.15468/dl.7ht2dd
title: Occurrence Download

description: A dataset containing 5592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hylocharis xantusii (Lawrence, 1861), Basilinna xantusii (Lawrence, 1861))"
 ]
}

 The dataset includes 5592 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042689-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/x3cbae
title: Vid2RealPhase2_P12_kinect_000029.png
DOI: 10.18738/t8/uoes4s/nrmdbl
title: Vid2RealPhase2_P12_kinect_000095.png
DOI: 10.15468/dl.ya57vr
title: Occurrence Download

description: A dataset containing 197620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calypte costae (Bourcier, 1839)"
 ]
}

 The dataset includes 197620 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042683-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjpg83
title: Occurrence Download

description: A dataset containing 61006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hylocharis leucotis (Vieillot, 1818), Basilinna leucotis (Vieillot, 1818))"
 ]
}

 The dataset includes 61006 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042690-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/yctluy
title: Vid2RealPhase2_P12_kinect_000044.png
DOI: 10.18738/t8/uoes4s/zib25l
title: Vid2RealPhase2_P12_kinect_000038.png
DOI: 10.18738/t8/uoes4s/vti5mr
title: Vid2RealPhase2_P12_kinect_000092.png
DOI: 10.18738/t8/uoes4s/s5qzsz
title: Vid2RealPhase2_P12_kinect_000043.png
DOI: 10.18738/t8/uoes4s/l33fdi
title: Vid2RealPhase2_P12_kinect_000031.png
DOI: 10.5522/04/25541392
title: Disease coverage, overlap and divergence of human genome-wide association studies and pharmaceutical research and development

description: Repository with the scripts used for the calculations in the manuscript "Disease coverage of human genome-wide association studies and pharmaceutical research and development". It could be used to revisit the estimates in the future.Overview of the scripts:- **gwas_cat_mapping_code**: includes the python code (`.ipynb`) used to map the traits in the GWAS Catalog to UMLS terms as described in Materials and Methods.- **gwas_clinicaldev_code**: includes the python code (`.ipynb`) used to identify the human diseases evaluated in drug development and in GWAS as s described in Materials and Methods. It also includes the code to generate Figure 1, Figure 2 and Figure 4 of the manuscript.Link to the published manuscript: https://doi.org/10.1038/s43856-024-00625-5https://doi.org/10.1038/s43856-024-00625-5
DOI: 10.18738/t8/uoes4s/asbfeu
title: Vid2RealPhase2_P12_kinect_000115.png