cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14288/1.0450734
title: Predicted impacts of climate change on wild and commercial berry habitats will have food security, conservation and agricultural implications

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Climate change is now a reality and is altering ecosystems, with Canada experiencing 2-4x the global average rate of warming. This will have a critical impact on berry cultivation and horticulture as well as wild, traditional and country food species. Enhancing our understanding of how wild and cultivated berries will be essential to mitigating impacts on ecosystems, culture and food security. Our objective was to predict the impact of climate change on habitat suitability of four berry producing &lt;em&gt;Vaccinium&lt;/em&gt; species: two species with primarily northern distributions (&lt;em&gt;V. uliginosum&lt;/em&gt;, &lt;em&gt;V. vitis-idaea&lt;/em&gt;) and one species with a primarily southern distribution (&lt;em&gt;V. oxycoccos&lt;/em&gt;) and the commercially cultivated&lt;em&gt; V. macrocarpon&lt;/em&gt;. We used the maximum entropy (maxent) model and the CMIP6 shared socioeconomic pathways (SSPs) 126 and 585 projected to 2041-2060 and 2061-2080. Wild species showed a uniform northward progression and expansion of suitable habitat. Our modeling predicts that suitable growing regions for commercial cranberries is also likely to shift with some farms becoming unsuitable for the current varieties and other regions becoming more suitable for cranberry farms. Both &lt;em&gt;V. macrocarpon&lt;/em&gt; and &lt;em&gt;V. oxycoccos&lt;/em&gt; showed a high dependence on precipitation associated variables. &lt;em&gt;V. vitis-idaea &lt;/em&gt;and &lt;em&gt;V. uliginosum&lt;/em&gt; had a greater number of variables with smaller contributions which may improve their resilience to individual climactic events. Future competition between commercial cranberry farms and wild berries in protected areas could lead to conflicts between agriculture and conservation priorities. New varieties of commercial berries are required to maintain current commercial berry farms&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
DOI: 10.3886/e227696v2-191406
title: Job Openings and Labor Turnover Survey (JOLTS) BLS

description: Bureau of Labor Statistics - Job Openings and Labor Turnover Survey (JOLTS) 2000-2025<br><br>From the BLS:<br>Job Openings and Labor Turnover Survey Overview PageThe Job Openings and Labor Turnover Survey (JOLTS) is a monthly survey that has been developed to address the need for data on job openings, hires, and separations.<br>PurposeThese data serve as demand-side indicators of labor shortages at the national level. Prior to JOLTS, there was no economic indicator of the unmet demand for labor with which to assess the presence or extent of labor shortages in the United States. The availability of unfilled jobs—the job openings rate—is an important measure of the tightness of job markets, parallel to existing measures of unemployment.ScopeData from a sample of approximately 21,000 U.S. business establishments are collected by the Bureau of Labor Statistics through JOLTS Data Collection Centers in Atlanta and Kansas City. The JOLTS survey covers all nonagricultural industries in the public and private sectors for the 50 States and the District of Columbia.Data ElementsJOLTS collects data on Total Employment, Job Openings, Hires, Quits, Layoffs & Discharges, and Other Separations. For more information on the JOLTS data elements, see the JOLTS data definitions page.Reference PeriodsTotal Employment - the pay period that includes the 12th of the month.Job Openings - the last business day of the month.Hires and Separations - the entire calendar month.<br><br>
DOI: 10.15468/dl.5gjxen
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coregonus peled",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033837-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17611356
title: Data for figures in "Emergent climate change signals within Antarctic sea ice and associated ecosystems" in Nature Climate Change

description: Data for analysis in "Emergent climate change signals within Antarctic sea ice and associated ecosystems" in Nature Climate Change

 

Processed data for making figures in the manuscript on Antarctic ecosystem Time of Emergence project

Directories within this repository folder:

observations

• Includes observational data used in Figures A2, A3, A4, A7, and A8

ToE_saved_data

• This folder contains pre-processed CESM2-LE data, as well as FEISTY data

• If you would like to start with raw CESM2-LE output, it is publicly accessible here: https://gdex.ucar.edu/datasets/d651056/

penguin data

• Contains penguin data that use for plotting notebooks

 

masks

• Contains sea ice zone (SIZ) mask used in the analysis

 

Instructions for running the analysis

 

1. Download the jupyter notebooks [here] (https://doi.org/10.5281/zenodo.17603745) 

 

2. Install the conda environment, see yaml file in the above repository

 

3. Update paths at the top of the notebooks to match your directory structure, pointing to the data in this data repository
DOI: 10.5281/zenodo.17611357
title: Data for figures in "Emergent climate change signals within Antarctic sea ice and associated ecosystems" in Nature Climate Change

description: Data for analysis in "Emergent climate change signals within Antarctic sea ice and associated ecosystems" in Nature Climate Change

 

Processed data for making figures in the manuscript on Antarctic ecosystem Time of Emergence project

Directories within this repository folder:

observations

• Includes observational data used in Figures A2, A3, A4, A7, and A8

ToE_saved_data

• This folder contains pre-processed CESM2-LE data, as well as FEISTY data

• If you would like to start with raw CESM2-LE output, it is publicly accessible here: https://gdex.ucar.edu/datasets/d651056/

penguin data

• Contains penguin data that use for plotting notebooks

 

masks

• Contains sea ice zone (SIZ) mask used in the analysis

 

Instructions for running the analysis

 

1. Download the jupyter notebooks [here] (https://doi.org/10.5281/zenodo.17603745) 

 

2. Install the conda environment, see yaml file in the above repository

 

3. Update paths at the top of the notebooks to match your directory structure, pointing to the data in this data repository
DOI: 10.15468/dl.2wec2j
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Prioniturus platurus sinerubris [GBIF Backbone Taxonomy], Prioniturus platurus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 186 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033838-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2f5x6g
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catalogue of Life"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033839-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmz8rj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coregonus renke",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033840-251025141854904/datasets/export for details.
DOI: 10.15468/dl.22md9u
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cajanus hirtopilosus",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033842-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75u47u
title: Occurrence Download

description: A dataset containing 748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasypus novemcinctus"
 ]
}

 The dataset includes 748 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033841-251025141854904/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.30623150
title: Dvorski et al. dataset

description: Due to conventional measures like V̇O<sub>2</sub>max not fully capturing endurance performance, this study investigated if a 2.4 km Cooper test elicits measurable biomarker changes (decorin, hypoxanthine, BDNF, NT-proBNP) and if these markers improve performance prediction in a heterogeneous sample of runners. Thirty-three participants completed the 2.4 km Cooper test, with venous blood samples collected at baseline and post-test. Regression models were developed to predict 10 km race time and ranking, validated in a subsample of 24 participants who completed a 10 km race two weeks later. Post-test decorin (<i>ρ</i> = –0.44) and hypoxanthine (<i>ρ</i> = –0.37) negatively correlated with Cooper test time. For 10 km race time, a model using the Riegel-predicted time explained performance with <i>R</i>² = 0.927 and <i>MAE</i> = 1.76 min; an extended model including BMI, post-test decorin, and relative hypoxanthine change from baseline improved prediction (<i>R</i>² = 0.956, <i>MAE</i> = 1.34 min). For ranking, estimated V̇O<sub>2</sub>max alone yielded <i>MAE</i> = 1.92 ranks (<i>ρ</i> = 0.93), while including post-test decorin improved prediction to <i>MAE</i> = 1.46 ranks (<i>ρ</i> = 0.96). The Cooper test elicited measurable responses in decorin, hypoxanthine, and BDNF. Both decorin and hypoxanthine provided corrective value, improving competitive performance prediction alongside conventional measures.
DOI: 10.6084/m9.figshare.30623150.v1
title: Dvorski et al. dataset

description: Due to conventional measures like V̇O<sub>2</sub>max not fully capturing endurance performance, this study investigated if a 2.4 km Cooper test elicits measurable biomarker changes (decorin, hypoxanthine, BDNF, NT-proBNP) and if these markers improve performance prediction in a heterogeneous sample of runners. Thirty-three participants completed the 2.4 km Cooper test, with venous blood samples collected at baseline and post-test. Regression models were developed to predict 10 km race time and ranking, validated in a subsample of 24 participants who completed a 10 km race two weeks later. Post-test decorin (<i>ρ</i> = –0.44) and hypoxanthine (<i>ρ</i> = –0.37) negatively correlated with Cooper test time. For 10 km race time, a model using the Riegel-predicted time explained performance with <i>R</i>² = 0.927 and <i>MAE</i> = 1.76 min; an extended model including BMI, post-test decorin, and relative hypoxanthine change from baseline improved prediction (<i>R</i>² = 0.956, <i>MAE</i> = 1.34 min). For ranking, estimated V̇O<sub>2</sub>max alone yielded <i>MAE</i> = 1.92 ranks (<i>ρ</i> = 0.93), while including post-test decorin improved prediction to <i>MAE</i> = 1.46 ranks (<i>ρ</i> = 0.96). The Cooper test elicited measurable responses in decorin, hypoxanthine, and BDNF. Both decorin and hypoxanthine provided corrective value, improving competitive performance prediction alongside conventional measures.
DOI: 10.5281/zenodo.17536165
title: Validation of Intravoxel Incoherent Motion MRI using Perfused Explanted Human Livers

description: **Explanted Liver IVIM Data Share**

Please cite the following article: Simchick G, Rice J, Gober L, Rice D, Philip J, Roldan-Alzate A, Hernando D. Validation of Intravoxel Incoherent Motion MRI using Perfused Explanted Human Livers. Magn Reson Med. 2025 Nov 14. DOI: 10.1002/mrm.70184. Epub ahead of print.

 

**Contents and Details**

Data_Access_Use_License_Simchick_MRM_2025_11_14.pdf

Database Access and Data Use License assocaited with this dataset. Downloading or accessing this dataset is an agreement to the terms detailed within the License. 

 

Folder: MRData

For each donor, 9 IVIM datasets are provided: 4 acquired using a conventional monopolar IVIM acquisition and 5 acquired using a b-M1-optimized IVIM acquisition. For both IVIM acquisitions, datasets were acquired sequentially at total volumetric flow rates of 0, 600, 900, and 1200 mL/min. For the b-M1-optimized acquisition, data was also re-acquired at a flow rate = 0 at the end of the MR exam (i.e., 0end). Data was acquired on a 3T Signa Premier MRI system (GE Healthcare). Data is stored as 5D Matlab arrays (x-dim, y-dim, b-M1-pair, slices, diffusion directions). b-values and M1 values associated with the third dimension are also provided as separate 1D arrays. All datasets contain 27 b-M1-pairs and 3 orthogonal diffusion encoding directions (i.e., 81 total volumes).

 

File: Supporting_Information_Measurements.xlsx

Excel file containing donor information for each explanted liver (sex, age, BMI, fibrosis stage, type of death, cause of death, reason not transplanted, and preservation time before imaging) and ultrasonic flowmeter measurements performed during perfusion setup to confirm target total volumetric flow rates of 0.6, 0.9, and 1.2 L/min. It also contains MR estimates of the preservation solution for vials collected immediately before and after each explanted liver MR exam, as well as STEAM-MRS, T1-weighted volumetric, and IVIM estimates obtained at total volumetric flow rates of 0start, 0.6, 0.9, 1.2, and 0end L/min for each explanted liver.

 

File: bM1opt_Acquisition_Waveforms.mat

Matlab data file containing the b-M1-optimized diffusion and flow encoding gradient waveforms designed to realize the b-M1-optimized IVIM data acquisition. Waveforms are saved as a 2D array (b-M1-pair, time) with units of T/m and a temporal resolution of dt=0.5 ms (note: echo readout time after gradient waveform not included). b-values and M1 values associated with each waveform are also provided as separate 1D arrays.
DOI: 10.5281/zenodo.17536166
title: Validation of Intravoxel Incoherent Motion MRI using Perfused Explanted Human Livers

description: **Explanted Liver IVIM Data Share**

Please cite the following article: Simchick G, Rice J, Gober L, Rice D, Philip J, Roldan-Alzate A, Hernando D. Validation of Intravoxel Incoherent Motion MRI using Perfused Explanted Human Livers. Magn Reson Med. 2025 Nov 14. DOI: 10.1002/mrm.70184. Epub ahead of print.

 

**Contents and Details**

Folder: MRData

For each donor, 9 IVIM datasets are provided: 4 acquired using a conventional monopolar IVIM acquisition and 5 acquired using a b-M1-optimized IVIM acquisition. For both IVIM acquisitions, datasets were acquired sequentially at total volumetric flow rates of 0, 600, 900, and 1200 mL/min. For the b-M1-optimized acquisition, data was also re-acquired at a flow rate = 0 at the end of the MR exam (i.e., 0end). Data was acquired on a 3T Signa Premier MRI system (GE Healthcare). Data is stored as 5D Matlab arrays (x-dim, y-dim, b-M1-pair, slices, diffusion directions). b-values and M1 values associated with the third dimension are also provided as separate 1D arrays. All datasets contain 27 b-M1-pairs and 3 orthogonal diffusion encoding directions (i.e., 81 total volumes).

 

File: Supporting_Information_Measurements.xlsx

Excel file containing donor information for each explanted liver (sex, age, BMI, fibrosis stage, type of death, cause of death, reason not transplanted, and preservation time before imaging) and ultrasonic flowmeter measurements performed during perfusion setup to confirm target total volumetric flow rates of 0.6, 0.9, and 1.2 L/min. It also contains MR estimates of the preservation solution for vials collected immediately before and after each explanted liver MR exam, as well as STEAM-MRS, T1-weighted volumetric, and IVIM estimates obtained at total volumetric flow rates of 0start, 0.6, 0.9, 1.2, and 0end L/min for each explanted liver.

 

File: bM1opt_Acquisition_Waveforms.mat

Matlab data file containing the b-M1-optimized diffusion and flow encoding gradient waveforms designed to realize the b-M1-optimized IVIM data acquisition. Waveforms are saved as a 2D array (b-M1-pair, time) with units of T/m and a temporal resolution of dt=0.5 ms (note: echo readout time after gradient waveform not included). b-values and M1 values associated with each waveform are also provided as separate 1D arrays.
DOI: 10.48366/r1563765
title: Teaching Cognitive Biases and Psychology in Kerala's Schools to Improve Civic Sense and Mental Health

description: This paper proposes adding cognitive biases, basic brain anatomy, psychology, and behavioral economics to Kerala’s school curriculum to enhance students’ civic sense, decision-making, and mental health. Grounded in interdisciplinary research, the hypothesis posits that early education on biases can promote critical thinking, curb impulsive choices, and strengthen societal well-being. A 12-week pilot program for grades 6–8 is outlined, using interactive methods to teach key biases and psychological concepts. Testable predictions include higher decision-making scores and greater bias awareness. This approach could reshape education in Kerala, a state with high literacy but rising mental health challenges [1]. The paper explores implications for theory, practice, and future research.
DOI: 10.3886/e240311v1
title: Climate Change Has Already Made the United States Poorer

description: code.zip: Stata code. See the readme in there.data.zip: Files called in the Stata code, some of which are also generated by the Stata codeoutputdir.zip: Complete set of results files from running Stata code<br>Paper abstract: The climate is already changing. The present study shows that these changes have already affected the U.S. economy. It develops a formal framework that accounts for how climate change has affected each county's economy by altering current and past weather, both locally and elsewhere around the country. The results show that climate change is already reducing annual U.S. income by 0.32% [95% confidence interval: -0.17--0.82%] by altering counties' current, local temperatures, with losses concentrated in the Great Plains and Midwest. Accounting for effects on past temperatures and on temperatures in other counties increases income losses to 12% [2.0--22%] and makes them more widely distributed, with suggestive evidence that trade networks propagate effects around the U.S. Central estimates can change with different indices of nonlocal weather or models of cross-county heterogeneity. Calculations like those developed here could be updated annually as a way of measuring and communicating the progress of climate change.
DOI: 10.15468/dl.fkg7j9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coregonus sardinella",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033844-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17610724
title: Uncovering acquisition events and human-specific folds with pairwise comparisons of the predicted viral proteome.

description: Code and intermediate files for project: Uncovering acquisition events and human-specific folds with pairwise comparisons of the predicted viral proteome.
DOI: 10.5281/zenodo.17610725
title: Uncovering acquisition events and human-specific folds with pairwise comparisons of the predicted viral proteome.

description: Code and intermediate files for project: Uncovering acquisition events and human-specific folds with pairwise comparisons of the predicted viral proteome.
DOI: 10.5281/zenodo.17611964
title: Modelo vectorial de la línea de costa del archipiélago cubano (2025)

description: Un modelo vectorial actualizado de la línea de costa de la República de Cuba, diseñado para mejorar la precisión y compatibilidad de la cartografía temática ambiental. A partir de fuentes satelitales de alta resolución (Sentinel-2) y técnicas de procesamiento geoespacial, se genera una representación detallada (1:25000) que permite aplicaciones en gestión costera, conservación ecológica y planificación territorial.
DOI: 10.5281/zenodo.17611963
title: Modelo vectorial de la línea de costa del archipiélago cubano (2025)

description: Un modelo vectorial actualizado de la línea de costa de la República de Cuba, diseñado para mejorar la precisión y compatibilidad de la cartografía temática ambiental. A partir de fuentes satelitales de alta resolución (Sentinel-2) y técnicas de procesamiento geoespacial, se genera una representación detallada (1:25000) que permite aplicaciones en gestión costera, conservación ecológica y planificación territorial.
DOI: 10.15468/dl.5h7gw2
title: Occurrence Download

description: A dataset containing 173410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lissotriton helveticus"
 ]
}

 The dataset includes 173410 records from 2358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033818-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/7w42-4114
title: Mongolia Water Supply: Baseline Analysis Report
DOI: 10.3886/d19x-j717
title: Mongolia Water Supply: Baseline Analysis Report
DOI: 10.6084/m9.figshare.28870169
title: Clavulus_combined.fasta

description: Concatenated dataset of the 5.8S-28S-18S-<i>RPB1-RPB2-TEF1</i>-regions in the Clavariales
DOI: 10.6084/m9.figshare.28870169.v1
title: Clavulus_combined.fasta

description: Concatenated dataset of the 5.8S-28S-18S-<i>RPB1-RPB2-TEF1</i>-regions in the Clavariales
DOI: 10.15468/dl.6yk8en
title: Occurrence Download

description: A dataset containing 5471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Glyptemys insculpta (Le Conte, 1830)"
 ]
}

 The dataset includes 5471 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001616-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15282606
title: Demo data to run the merging algorithm in SCENFIRE

description: This dataset contains the basic data to run SCENFIRE functions, a specialized selection algorithm designed to align simulated fire perimeters with specific fire size distribution scenarios.
DOI: 10.5281/zenodo.15282685
title: cynopoecilus_notabilis_spades_01.fasta.gz
DOI: 10.5281/zenodo.15282686
title: cynopoecilus_notabilis_spades_01.fasta.gz
DOI: 10.2908/tran_sf_roadve
title: Persons killed in road accidents by type of vehicle
title: Personnes tuées dans des accidents de la route, par type de véhicule
title: Strassenverkehrstote nach Fahrzeugtyp
DOI: 10.6084/m9.figshare.29108960
title: 2024-25 Rainy Season Analysis and Performance of the Drought Anticipatory Action System

description: Climate Services