cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31143679
title: Supplementary Material for: Antidepressants and Risk of Mortality in People with Depressive Disorder and Co-occurring type 2 Diabetes Mellitus: a 20-year Population-based Cohort Study

description: Introduction: Depression and diabetes often co-occur and worsen clinical outcomes of both conditions. However, mortality risk among depression patients with diabetes exposed to antidepressant is under-studied. We investigated whether antidepressant would decrease mortality risk in people with depression and type-2 incident diabetes.
Methods: This population-based cohort study identified 11,137 depression patients with incident type-2 diabetes between 2002-2021 in Hong Kong who were exposed to antidepressants, using territory-wide electronic medical-record database. Association between antidepressant exposure and mortality risk was analyzed by Cox proportional-hazards models for any antidepressant, specific drug classes, and individual agents, with stratified-analysis by HbA1c level. A comprehensive array of covariates, including age, sex, calendar-year period, catchment-area, pre-existing physical-comorbidities, diabetic-complications, substance/alcohol use disorders, cardiovascular/antidiabetes medications, and presence of antidepressants other than the specified drug was adjusted. Three sets of sensitivity-analyses were conducted by restricting to patients (a) with cumulative drug exposure ≥90 days and ≥180 days, (b) with medication-possession-ratio ≥80% and (c) monotherapy.
Results: Lower risk of all-cause mortality was associated with exposure to any antidepressant (HR 0.79, 95%CI 0.70-0.90) compared with no antidepressant in depression patients with incident-diabetes. Lower mortality risk was associated with exposure to noradrenergic and specific-serotonergic antidepressants (0.77[0.66-0.90]) compared with no antidepressant, and to mirtazapine (0.76[0.65-0.88]) and trazodone (0.75[0.63-0.90]). Sensitivity-analyses affirmed that lower mortality risk was associated with mirtazapine.
Conclusion: Depression patients with comorbid type-2 diabetes with exposure to several antidepressant is at decreased mortality risk. Further research is warranted to confirm our findings and clarify the mortality-reducing mechanisms of antidepressant in this vulnerable population.
DOI: 10.6084/m9.figshare.31143679.v1
title: Supplementary Material for: Antidepressants and Risk of Mortality in People with Depressive Disorder and Co-occurring type 2 Diabetes Mellitus: a 20-year Population-based Cohort Study

description: Introduction: Depression and diabetes often co-occur and worsen clinical outcomes of both conditions. However, mortality risk among depression patients with diabetes exposed to antidepressant is under-studied. We investigated whether antidepressant would decrease mortality risk in people with depression and type-2 incident diabetes.
Methods: This population-based cohort study identified 11,137 depression patients with incident type-2 diabetes between 2002-2021 in Hong Kong who were exposed to antidepressants, using territory-wide electronic medical-record database. Association between antidepressant exposure and mortality risk was analyzed by Cox proportional-hazards models for any antidepressant, specific drug classes, and individual agents, with stratified-analysis by HbA1c level. A comprehensive array of covariates, including age, sex, calendar-year period, catchment-area, pre-existing physical-comorbidities, diabetic-complications, substance/alcohol use disorders, cardiovascular/antidiabetes medications, and presence of antidepressants other than the specified drug was adjusted. Three sets of sensitivity-analyses were conducted by restricting to patients (a) with cumulative drug exposure ≥90 days and ≥180 days, (b) with medication-possession-ratio ≥80% and (c) monotherapy.
Results: Lower risk of all-cause mortality was associated with exposure to any antidepressant (HR 0.79, 95%CI 0.70-0.90) compared with no antidepressant in depression patients with incident-diabetes. Lower mortality risk was associated with exposure to noradrenergic and specific-serotonergic antidepressants (0.77[0.66-0.90]) compared with no antidepressant, and to mirtazapine (0.76[0.65-0.88]) and trazodone (0.75[0.63-0.90]). Sensitivity-analyses affirmed that lower mortality risk was associated with mirtazapine.
Conclusion: Depression patients with comorbid type-2 diabetes with exposure to several antidepressant is at decreased mortality risk. Further research is warranted to confirm our findings and clarify the mortality-reducing mechanisms of antidepressant in this vulnerable population.
DOI: 10.15468/dl.34b68z
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antennaria carpatica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 615 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008858-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t5tyq
title: Occurrence Download

description: A dataset containing 8767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antennaria dioica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8767 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008859-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgxug5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psylliodes frivaldszkyi"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008860-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq2s8p
title: Occurrence Download

description: A dataset containing 4637434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 4637434 records from 500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008848-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29946947.v1
title: Loneliness

description: This research explores how loneliness influences individuals’ intention to donate, focusing on the emotional mechanism of anticipated warm glow and the moderating role of donation type (time vs. money).
DOI: 10.6084/m9.figshare.29946947
title: Loneliness

description: This research explores how loneliness influences individuals’ intention to donate, focusing on the emotional mechanism of anticipated warm glow and the moderating role of donation type (time vs. money).
DOI: 10.15468/dl.n3w2am
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria phaseoloides",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024851-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syuqxw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria phaseoloides",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024850-250811113504898/datasets/export for details.
DOI: 10.5061/dryad.ttdz08kzp
title: Natural history predicts patterns of thermal vulnerability in amphibians from the Atlantic rainforest of Brazil_supporting information

description: In the Brazilian Atlantic Rainforest (AF), amphibians (625 species) face
 habitat degradation leading to stressful thermal conditions that constrain
 animal activity (e.g. foraging, reproduction). Data on thermal ecology for
 these species is still scarce. We tested the hypothesis that environmental
 occupation affects the thermal tolerance of amphibian species more than
 their phylogenetic relationships. We evaluated patterns of thermal
 tolerance of 47 amphibian species by assessing critical thermal maxima and
 warming tolerances, relating these variables with ecological covariates
 (e.g. adult macro- and microhabitat and site of larval development).
  We used mean and maximum environmental temperature, ecological
 covariates, and morphological measurements in the phylogenetic generalized
 least squares models selection to evaluate which traits better predict
 thermal tolerance. We did not recover phylogenetic signal under a Brownian
 model; our results point to a strong association between critical thermal
 maxima and habitat and development site. Forest species were less tolerant
 to warm temperatures than open area or generalist species. Species with
 larvae that develop in lentic environment were more tolerant than those
 from lotic ones. Thus, species inhabiting forest microclimates are more
 vulnerable to the synergistic effect of habitat loss and climatic change.
 We use radar charts as a quick evaluation tool for thermal risk diagnoses
 using aspects of natural history as axes.
DOI: 10.5061/dryad.mcvdnck1n
title: Dataset for: A novel hydrophobically associating water-soluble polymer utilized as constant rheology agent for cement slurry

description: During the process of well cementing in deepwater, the cement slurry
 experiences a wide range of temperature variation from low temperature at
 seabed to high temperature in downhole. The elevated temperature affects
 the rheology of cement slurry. The change of rheology of cement slurry
 could influence the safety of cementing operation. The aim of this paper
 is to develop a new kind of hydrophobically associating water-soluble
 polymer (KWHL-1) as an additive to prepare a constant rheology oil well
 cement slurry, which can be used at temperature range from 4℃ to 90℃. The
 acrylamide, 2-acrylamide-2-methylpropionic acid and stearyl methylacrylate
 were applied to synthesize the KWHL-1 by the inverse microemulsion
 polymerization. Test results indicate that the critical association
 temperature of KWHL-1 is 45℃. The critical association temperature is
 independent with KWHL-1 concentration, salt concentration and alkalinity
 of solution. When the temperature is below 45℃, KWHL-1 shows little
 influence on the viscosity of solution. When the temperature is above 45℃,
 the KWHL-1 forms spatial network structure by intermolecular hydrophobic
 association, and thus increases the viscosity of solution significantly.
 The KWHL-1 also displays good thermal stability and excellent salt and
 alkali resistance properties. In addition, the KWHL-1 shows nearly no
 negative influence on the basic properties of cement slurry, which
 indicates that the KWHL-1 can be used as a constant rheology agent to
 prepare a cement slurry with constant rheology in the temperature range of
 4 to 90℃.
DOI: 10.5061/dryad.dfn2z3527
title: Environmental impacts on diapause and survival of the alfalfa leafcutting bee, Megachile rotundata

description: Megachile rotundata exhibits a facultative prepupal diapause but the cues
 regulating diapause initiation are not well understood. Possible cues
 include daylength and temperature. Megachile rotundata females experience
 changing daylengths over the nesting season that may influence diapause
 incidence in their offspring through a maternal effect. Juvenile M.
 rotundata spend their developmental period confined in a nesting cavity,
 potentially subjected to stressful temperatures that may affect diapause
 incidence and survival. To estimate the impact of daylength and nest
 cavity temperature on offspring diapause, we designed a 3D printed box
 with iButtons that measured nest cavity temperature. We observed nest
 building throughout the season, monitored nest cavity temperature, and
 followed offspring through development to measure diapause incidence and
 mortality. We found that daylength was a cue for diapause, and nest cavity
 temperature did not influence diapause incidence. Eggs laid during long
 days had a lower probability of diapause. Siblings tended to have the same
 diapause status, explaining a lot of the remaining variance in diapause
 incidence. Some females established nests that contained both diapausing
 and nondiapausing individuals, which were distributed throughout the nest.
 Nest cavities reached stressful temperatures, which decreased survival.
 Mortality was significantly higher in nondiapausing bees and the
 individuals that were laid first in the nest. In conclusion, we
 demonstrate a maternal effect for diapause that is mediated by daylength
 and is independent of nest box temperature.
description: Temperature data was collected via iButtons placed in the nest
 block. The diapause status was each individual was determined by
 x-ray. Further details on the collection and processing of the data can be
 found in the manuscript, which is open access.
description: The ReadMe file includes descriptions of the column headings in
 the dataframe.
DOI: 10.5061/dryad.2z34tmpn0
title: Simultaneous single-unit recording from the basal amygdala and dorsal hippocampus

description: Animals seeking survival needs must be able to assess different locations
 of threats in their habitat. However, the neural integration of spatial
 and risk information essential for guiding goal-directed behavior remains
 poorly understood. Thus, we investigated simultaneous activities of
 fear-responsive basal amygdala (BA) and place-responsive dorsal
 hippocampus (dHPC) neurons as rats left the safe nest to search for food
 in an exposed space and encountered a simulated ‘predator.’ In this
 realistic situation, BA cells increased their firing rates and dHPC place
 cells decreased their spatial stability near the threat. Importantly, only
 those dHPC cells synchronized with the predator-responsive BA cells
 remapped significantly as a function of escalating risk location.
 Moreover, optogenetic stimulation of BA neurons was sufficient to cause
 spatial avoidance behavior and disrupt place fields. These results suggest
 a dynamic interaction of BA’s fear signaling cells and dHPC’s spatial
 coding cells as animals traverse safe-danger areas of their environment.
description: The datasets were collected during 1) the simultaneous recording
 from the basal amygdala (BA) and dorsal hippocampus (dHPC) and 2)
 recording from the dHPC during the optogenetic stimulation of the BA. All
 data have been processed by the place cell analysis R script or a
 cross-correlation analysis using Neuroexplorer.
description: The readme file explains what data each file contains and details
 of the variables in the dataset.
DOI: 10.6084/m9.figshare.31166760
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig6Data.xlsx
DOI: 10.6084/m9.figshare.31166760.v1
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig6Data.xlsx
DOI: 10.6084/m9.figshare.31166766
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig8Data.xlsx
DOI: 10.6084/m9.figshare.31166766.v1
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig8Data.xlsx
DOI: 10.6084/m9.figshare.31166769
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig3Data.xlsx
DOI: 10.6084/m9.figshare.31166769.v1
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig3Data.xlsx
DOI: 10.6084/m9.figshare.31166772
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig7Data.xlsx
DOI: 10.6084/m9.figshare.31166772.v1
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig7Data.xlsx
DOI: 10.5061/dryad.s1rn8pk86
title: Predation on Vachellia trees in the Evrona Nature Reserve following an oil spill

description: The Evrona Nature Reserve (southern Israel; 29°40′N, 35°00′E) was affected
 by two large oil spills in 1975 and 2014, respectively. Between Nov 2019
 to Oct 2019, we recorded invertebrate and vertebrate predation
 rates using the artificial caterpillar method (Howe et al. 2009,
 Entomol Exp App) in oil-polluted and unpolluted Vachellia trees.
description: We measured predation rates monthly (except for Dec
 2018). Artificial caterpillars were placed both at ground and canopy
 levels. We used 8 caterpillars x tree for a total of 240 caterpillars per
 sampling event.
description: The file is readable by the R software in its current form.
 Missing values are indicated with NA.
DOI: 10.6084/m9.figshare.31166778
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig4Data.xlsx
DOI: 10.6084/m9.figshare.31166778.v1
title: Supplementary Material from Allometric Scales Underlying Animal Flight: A Mechanics-Based Approach

description: Fig4Data.xlsx
DOI: 10.15468/dl.8xd7vw
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diphyllarium mekongense",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002894-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.7h44j0ztt
title: CYP1A expression in freshwater fish of western New York as an indicator of pollution levels

description: Various species of freshwater fish regulate the expression of certain
 proteins in response to environmental contamination. Previous research has
 shown that CYP1A expression increases in response to contaminant levels
 and can result in increased tumor formation. Fish in contaminated
 environments would thus benefit by downregulating the expression of CYP1A
 to reduce tumor prevalence as an adaptive strategy. Alternatively,
 monitoring of the CYP1A protein in fish can serve as a bioindicator of the
 pollution level of an environment. This study evaluated CYP1A expression
 in twelve different species of freshwater fish from seven bodies of water
 throughout western NY including Cuba Lake, Genesee River, Hanging Bog,
 Love Canal, Moss Lake, Rushford Lake and Tifft Nature Preserve. Western
 blot analysis was used to measure CYP1A expression as a marker of site
 pollution and potential fish population adaptation. It was hypothesized
 that low CYP1A expression at a site with known contamination would suggest
 signs of adaptation to pollution levels present. Furthermore, if at least
 one sample from a species showed CYP1A expression, then the CYP1A antibody
 (Caymen Chemical, USA; 173132) had compatibility with that species,
 eliminating falsely suspected adaptation. The results from this study
 suggest possible adaptation of fish may be occurring in the polluted Tifft
 Nature Preserve and Genesee River. --
description: Dataset collected: 12 freshwater fish species were collected from
 7 sites in western New York, USA. using hoop nets
 Dataset processing: fish were humanely sacrificed (MS-222),
 tissues were extracted and presevered in RNA later and then analyzed using
 western blot analysis.  CYP1A protein expression was measured using the
 CYP1A antibody (Caymen Chemical, USA; 173132) and protein samples were
 normalized to actin (Millipore, USA; MAB1501) and a loading control with
 positive CYP1A expression (BR2).
DOI: 10.5061/dryad.qrfj6q5gd
title: Forest phenoclusters for Argentina based on vegetation phenology and climate

description: Forest biodiversity conservation and species distribution modeling greatly
 benefit from broad-scale forest maps depicting tree species or forest
 types rather than just presence and absence of forest, or coarse
 classifications. Ideally, such maps would stem from satellite image
 classification based on abundant field data for both model training and
 accuracy assessments, but such field-data does not exist in many parts of
 the globe. However, different forest types and tree species differ in
 their vegetation phenology, offering an opportunity to map and
 characterize forests based on the seasonal dynamic of vegetation indices
 and auxiliary data. Our goal was to map and characterize forests
 based on both land surface phenology and climate patterns, defined here as
 forest phenoclusters. We applied our methodology in Argentina (2.8 million
 km2), which has a wide variety of forests from rainforests to
 cold-temperate forests. We calculated phenology measures after fitting a
 harmonic curve of the enhanced vegetation index (EVI) time series derived
 from 30-m Sentinel 2 and Landsat 8 data from 2018-2019. For climate, we
 calculated land surface temperature (LST) from Band 10 of the thermal
 infrared sensor (TIRS) of Landsat 8, and precipitation from Worldclim
 (BIO12). We performed stratified X-means cluster classifications followed
 by hierarchical clustering. The resulting clusters separated well into 54
 forest phenoclusters with unique combinations of vegetation phenology and
 climate characteristics. The EVI 90th percentile was more important than
 our climate and other phenology measures in providing separability among
 different forest phenoclusters. Our results highlight the potential of
 combining remotely sensed phenology measures and climate data to improve
 broad-scale forest mapping for different management and conservation
 goals, capturing functional rather than structural or compositional
 characteristics between and within tree species. Our approach results in
 classifications that go beyond simple forest-non forest in areas where the
 lack of detailed ecological field data precludes tree species-level
 classifications, yet conservation needs are high. Our map of forest
 phenoclusters is a valuable tool for the assessment of natural resources,
 and the management of the environment at scales relevant for conservation
 actions.
DOI: 10.5061/dryad.69p8cz92n
title: A liposome assay showing the absence of scrambling in TTYH proteins and a lipidomics analysis of TTYH2

description: The Tweety homologues (TTYHs) are members of a conserved family of
 eukaryotic membrane proteins that are abundant in the brain. The three
 human paralogs were assigned to function as anion channels that are either
 activated by Ca2+ or cell swelling. To uncover their unknown architecture
 and its relationship to function, we have determined the structures of
 human TTYH1–3 by cryo-electron microscopy. All structures display
 equivalent features of a dimeric membrane protein that contains five
 transmembrane segments and an extended extracellular domain.  As
 none of the proteins shows features reminiscent of an anion channel, we
 revisited functional experiments and did not find any indication of ion
 conduction. Instead, we find density in an extended hydrophobic pocket
 contained in the extracellular domain that emerges from the lipid bilayer,
 which suggests a role of TTYH proteins in the interaction with lipid-like
 compounds residing in the membrane.