cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bygdp2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psorothamnus fremontii (Torr. ex A.Gray) Barneby",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "StateProvince is AZ",
 "StateProvince is CA",
 "StateProvince is NV",
 "StateProvince is UT"
 ]
 },
 "Country is United States of America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007747-250310093411724/datasets/export for details.
DOI: 10.6073/pasta/fd86f47264fe02ce4a85c599ee048c18
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 1 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-1. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-1 site. This is an ONGOING dataset.
DOI: 10.15468/dl.6duab2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larrea tridentata (DC.) Coult.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "StateProvince is AZ",
 "StateProvince is CA",
 "StateProvince is NV",
 "StateProvince is UT"
 ]
 },
 "Country is United States of America"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007750-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kpe5e
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-97.19981 48.97919,-97.07868 48.67171,-97.13459 48.54127,-97.11595 48.20583,-96.91096 47.73063,-96.78052 46.69637,-96.74325 46.47275,-96.58485 46.16527,-96.60348 45.82984,-96.81779 45.63416,-96.73393 45.41986,-96.53826 45.40122,-96.3985 45.27078,-96.04442 45.12169,-94.73996 44.46946,-94.48838 44.32038,-94.09704 44.18993,-93.84546 44.58127,-93.51003 44.82353,-93.15596 44.87012,-93.11185 44.93539,-92.99863 44.78758,-92.84768 44.76243,-92.77849 44.80016,-92.72818 45.30963,-92.65899 45.42284,-92.7722 45.57379,-92.82881 45.55492,-92.88856 45.59581,-92.69691 45.9053,-92.31576 46.07719,-92.15134 46.12951,-91.88229 46.29393,-91.49582 46.30998,-90.05343 48.11111,-90.32995 48.08869,-90.86057 48.20827,-91.79757 48.77849,-92.00522 48.73324,-92.10106 48.79447,-92.1543 48.79447,-92.2315 48.78115,-92.67075 48.68532,-92.7586 48.67999,-92.91034 48.65071,-93.40582 48.61588,-93.44999 48.59379,-93.46103 48.543,-93.61562 48.52754,-93.70838 48.51208,-93.80996 48.53417,-93.82321 48.6225,-93.87342 48.63444,-94.16226 48.65308,-94.34862 48.67171,-94.66065 48.80671,-94.87972 49.37985,-95.14993 49.41712,-95.1872 49.01646,-96.35191 49.00715,-97.19981 48.97919))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melilotus albus Medik."
 ]
}

 The dataset includes 509 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007751-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gamhve
title: Occurrence Download

description: A dataset containing 3582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philonthus quisquiliarius (Gyllenhal, 1810)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3582 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007749-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14279/depositonce-22303
title: Oil seed press cakes in textured vegetable protein - raw material, processing and TVP properties

description: Press cakes of six different oil seed press cakes (almond, coconut, flaxseed, pumpkin seed, rapeseed, sunflower seed) from seven manufacturers were characterized, mixed with 0 to 75 % of pea protein isolate, and low-moisture extruded in three technical repetitions in pilot scale to produce textured vegetable protein (TVP) suitable for use as minced meat alternative. The raw material characterization comprises fat, protein, moisture, insoluble dietary fiber, and soluble dietary fiber contents, particle size distributions, and water binding capacities. The extrusion process is characterized by torque, product temperature, pressure at the die and specific mechanical energy input (SME). The resulting TVP properties are TVP diameter, sectional expansion index, bulk density, breaking force (Kramer shear test), water binding capacity, parameters from texture profile analysis (hardness, cohesiveness, springiness, gumminess, chewiness, absolute and mass specific, i.e. divided by sample weight), and CIELAB-color values of ground TVP. Furthermore, the dataset contains a table that summarizes the correlations between the different properties and characterization data of commercial reference products (plant-based minced meat alternatives) for comparison. Microscopic images and photos of the TVP can be accessed in an associated repository data set. The data presented here is supplement to a scientific publication.
DOI: 10.15468/dl.5vyy6x
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacaspis yasumatsui Takagi, 1977",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007754-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/2d7ce103931e0d94f902ad03eea49680
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 2 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-2. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-2 site. This is an ONGOING dataset.
DOI: 10.15468/dl.7nsmdb
title: Occurrence Download

description: A dataset containing 556 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de autoridad taxonómica del género Quercus, Fagaceae en México"
 ]
}

 The dataset includes 556 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007755-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k678jh
title: Occurrence Download

description: A dataset containing 556 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de autoridad taxonómica del género Quercus, Fagaceae en México"
 ]
}

 The dataset includes 556 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007756-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15022221
title: A Bibliometric Analysis of Digital Financial Inclusion: Current Trends and Future Directions
DOI: 10.5281/zenodo.15022222
title: A Bibliometric Analysis of Digital Financial Inclusion: Current Trends and Future Directions
DOI: 10.5281/zenodo.14901793
title: Data source and results for "The human cost of delaying interventions to reduce obesity: a modeling study using taxes in Mexico"

description: Variables in "Baseline sample ENSANUT 2020-2022.csv"




Name
Variable




id
Identifier for each individual in the data.


est_var
Strata for the estimation of variances, accounting for survey design.


svy_weights
Complex survey weight after adjustment to match the report of the National Population Council of Mexico (CONAPO) 


code_upm
Identifier of the primary sampling unit.


sex
Sex of the individual (``male'' or ``female'').


age
Age (yrs).


body_weight
Measured body weight (kg).


height
Measured height (cm).


bmi
Body mass index, estimated before the simulation process (kg/m2).


year
Year (= 2021).


obes
Indicator of obesity (1 = yes, 0 = no).


svy_weghts_og
Complex survey weight without adjustments


year_og
Indicates if the individuals belong to the ENSANUT 2020, 2021, or 2022




 

Results

The files "Results Linear.zip" and "Results Nordpred.zip" contain results of BMI (BMI.csv), obesity (Obesity.csv), survey weights adjusted for mortality (Population.csv), and deaths (Deaths.csv) by individual, year and scenario. Each csv has the same number of rows as the baseline sample (n = 26,854; it is possible to merge them by column; they are sorted). The first column of the csvs is the age of the individual in the baseline (age_in_2021). The other columns are the years of simulation. The values in the column "2021" are the same as those in the baseline sample (bmi in the BMI.csv, obesity in the Obesity.csv, and survey weights in the Population.csv).  For example, the following table shows the first four subjects in the "Population.csv" for the years 2021-2027 in the Status quo Scenario.

 




age_in_2021
2021
2022
2023
2024
2025
2026
2027


62
793.456475
779.43512
769.105823
758.09231
746.353933
733.863597
718.331278


30
2947.77704
2933.43957
2922.22167
2911.63185
2901.20043
2890.612
2883.24558


49
1335.5641
1326.41111
1319.94571
1313.17373
1305.96443
1298.2321
1288.65234


62
3818.15146
3750.68001
3700.97493
3647.97736
3591.49172
3531.38761
3484.58945




 

The first individual has 62 years old in 2021 and represents about 793 people, as in the "svy_weights" variable in the baseline sample. Then, in 2022, the same individual represent a lower number of individuals: 779. That is because we adjusted the survey weight to consider mortality. The details are presented in the main manuscript.

 

Population and deaths by year

To get the population by year for a given scenario, use the file "Population.csv" of the scenario and sum by column. Similar to deaths, using the file "Deaths.csv".

 

Obesity prevalence and verage BMI, and

To get the obesity prevalence or the average BMI by year for a given scenario, use each column of the file "Population.csv" as weights.

For example, in R:

Obes_prev_in_2025 = weighted.mean(x = Obesity[, "2025"], w = Population[, "2025"])

Average_BMI_in_2025 = weighted.mean(x = BMI[, "2025"], w = Population[, "2025"]).
DOI: 10.6084/m9.figshare.26745055
title: gRNA database of the <i>Capsella bursa-pastoris </i>accession PGL0001 (alias ‘msu-wt’) and list of homoeolog gene pairs (1-to-1) for analyzed genome.

description: The database contains a comprehensive set of characteristics for gRNA spacer sequences, including calculated metrics for on-target (DeepSpCas9 and DeepHF) and off-target (CFD and MIT) activity for the knockout of genes from the <i>C. bursa-pastoris</i> accession PGL0001 (alias 'msu-wt') genome (GCA_001974645.2 GenBank). The sequences have been prefiltered according to the specified set of thresholds:The spacer's GC composition should be between 20-80%The spacer should be located within the 5-65% of the CDS of the geneThe spacer should not contain polyT sequences (four or more T sites)The spacer should not have sequence complementarity with the sgRNA hairpin backbone of SpCas9 or itselfThe spacer should not be located at overlapping sites of coding regions of different genesThe spacer cut site should be located in CDS region of all coding isoforms of a target gene;DeepSpCas9 and DeepHF on-target scores should be at least more than 0.2 and aggregated CFD off-target score (for all targets with maximum 3 mismatch) should be at least more than 0.2.Homoeolog pairs were identified with orthofinder software.
DOI: 10.15468/dl.ha98nu
title: Occurrence Download

description: A dataset containing 9348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 9348 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007757-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15022225
title: 자료1
DOI: 10.5281/zenodo.15022226
title: 자료1
DOI: 10.15468/dl.bh7rjx
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nipponaclerda biwakoensis (Kuwana, 1907)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007758-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/2a0b9ccdb5268bbe941909940823fbd3
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 3 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-3. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-3 site. This is an ONGOING dataset.
DOI: 10.34943/5dae405d-b2d4-495b-bf59-50e5dfabb2a6
title: Barkley Canyon Hydrates Imaging Rotary Sonar Deployed 2018-08-01

description: The Kongsberg Mesotech Rotary Sonar 1171 (1206085) was deployed on 2018-08-01 at Barkley Canyon Hydrates. Barkley Canyon Hydrates denotes a gas hydrate field within Barkley Canyon. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/75c98f5c-71d5-4f9b-8669-95d5f622ff30
title: Barkley Canyon Hydrates Imaging Rotary Sonar Deployed 2018-08-01

description: The Kongsberg Mesotech Rotary Sonar 1171 (1206085) was deployed on 2018-08-01 at Barkley Canyon Hydrates. Barkley Canyon Hydrates denotes a gas hydrate field within Barkley Canyon. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.14984469
title: projMCS2 - Results

description: ## 04_README_projMCS2

- Filters doublets, runs initial DA gene accessibility groupBy cluster (no subset), and creates initial visualizations for all single cells in the project, including UMAPs, t-SNE, heatmaps, browser tracks.
DOI: 10.5281/zenodo.14984470
title: projMCS2 - Results

description: ## 04_README_projMCS2

- Filters doublets, runs initial DA gene accessibility groupBy cluster (no subset), and creates initial visualizations for all single cells in the project, including UMAPs, t-SNE, heatmaps, browser tracks.
DOI: 10.15468/dl.vmmddj
title: Occurrence Download

description: A dataset containing 7737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callidium violaceum (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7737 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007759-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctr4ut
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratozamia becerrae Pérez-Farr., Vovides & Schutzman"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007760-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18126/97p3-hb33
title: Thermomechanical Characterization of High Tg Disulfide-Containing Thermoplastic Polyimides
DOI: 10.18126/1423-4046
title: Glassy Dynamics of Epoxy-Amine Thermosets Containing Dynamic, Aromatic Disulfides
DOI: 10.15468/dl.amm5sf
title: Occurrence Download

description: A dataset containing 981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philonthus rectangulus Sharp, 1874",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 981 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007761-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/5e948930223d30f6676844c9152594e9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-4. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-4 site. This is an ONGOING dataset.
DOI: 10.5281/zenodo.14969228
title: Data used for the study of time-lapse velocity variations during an open-pit mine slope failure using seismic noise interferometry

description: This repository contains data used for the study of time-lapse velocity variations during an open-pit mine slope failure using seismic noise interferometry. This includes the cross-correlations, velocity change measurements, seismic event information, historical weather and surface deformation data. The cross-correlations are in hdf5 format (see https://en.wikipedia.org/wiki/Hierarchical_Data_Format), split into smaller manageable files using:

gzip -c cross-correlations-stacked.h5 | split -b 7500000000 - cross-correlations-stacked.gz

Which can be recombined using:

cat cross-correlations-stacked.gz* | zcat > cross-correlations-stacked.h5
DOI: 10.5281/zenodo.14969229
title: Data used for the study of time-lapse velocity variations during an open-pit mine slope failure using seismic noise interferometry

description: This repository contains data used for the study of time-lapse velocity variations during an open-pit mine slope failure using seismic noise interferometry. This includes the cross-correlations, velocity change measurements, seismic event information, historical weather and surface deformation data. The cross-correlations are in hdf5 format (see https://en.wikipedia.org/wiki/Hierarchical_Data_Format), split into smaller manageable files using:

gzip -c cross-correlations-stacked.h5 | split -b 7500000000 - cross-correlations-stacked.gz

Which can be recombined using:

cat cross-correlations-stacked.gz* | zcat > cross-correlations-stacked.h5