cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.guve9v
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bifora radians",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 590 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007729-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr763z
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.293 6.099137, 117.22234 6.093566, 117.153425 6.076991, 117.087954 6.049821, 117.027543 6.012725, 116.973681 5.966621, 116.927695 5.912644, 116.890716 5.852126, 116.863653 5.786559, 116.847169 5.717559, 116.841667 5.646825, 116.847277 5.576099, 116.863858 5.507123, 116.890999 5.441594, 116.928027 5.381124, 116.974031 5.327201, 117.027876 5.281149, 117.088237 5.244102, 117.15363 5.216969, 117.222448 5.200418, 117.293 5.194856, 117.363552 5.200418, 117.43237 5.216969, 117.497763 5.244102, 117.558124 5.281149, 117.611969 5.327201, 117.657973 5.381124, 117.695001 5.441594, 117.722142 5.507123, 117.738723 5.576099, 117.744333 5.646825, 117.738831 5.717559, 117.722347 5.786559, 117.695284 5.852126, 117.658305 5.912644, 117.612319 5.966621, 117.558457 6.012725, 117.498046 6.049821, 117.432575 6.076991, 117.36366 6.093566, 117.293 6.099137))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007730-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17518231
title: Data Repository: Synthesizing Spectral and Field Observations of Post-fire Conifer Recovery in Dry Conifer Forests

description: This is the supplemental files for the review "Synthesizing Spectral and Field Observations of Post-fire Conifer Recovery in Dry Conifer Forests." It includes the datasheets used to extract data and the code used to process this dataset. 

For final figures please see the published paper. 

The structure of the folder is as follows: 

Python Code 

(1). RevisionsDataFormatting.ipynb - groups drivers into catagories and creates figures 3, 4, and 5. Relies on excel sheet Updated_Clean.xslx" 

(2). RecoveryPathways.ipynb - calculates the frequency of different pathways by approach. Relies on the excel sheet "RecoveryPathways.xlsx" Statistics are used to produce Figure 2

R-code: 

Supplemental_TableS1_Table_TableS2 : Creates .htmls for table S1, Table S2, and Table from processing associated datasheets

Supplemental_Table34: Creates .htmls for Table S3 and Table S4 

CalculatingDisturbance: Describes approach and data sources for calculating areas with fire disturbance across all of the westerncordillera. Runs on local files, but includes links to process the same data 

CalculateKappa: Calculates the kappa statistic for the review 

ShresthaVariableImpt: conversion of data from Shrestha et al. 2024 that is used to calculate the variable importance values used in the final calculation 

Excel Sheets

categories (1).csv: description of the driver categories

drivers_effects_ID (1).csv: driver ranked importance variables 

df_supplemental (1).csv: semi-processed and formatted data from Update_Clean.xlsx (procesing done in RevisionsDataFormatting.ipynb) 

ParentDatasheet.xslx-  includes the notes and from data extraction for all of the selected studies. Studies that include multiple forest types have duplicate entries.  

RecoveryPathways.xslx - simplified description of pathways for studies that included studies

full_text_exclusion_notes.xsls - describes inclusion and exclusion process for the full text exclusion research phase 

.RIS Searches for Literature Review

Zip file that includes all files incorporated in systematic review from different sources. Files are named by date of search
DOI: 10.5281/zenodo.17518232
title: Data Repository: Synthesizing Spectral and Field Observations of Post-fire Conifer Recovery in Dry Conifer Forests

description: This is the supplemental files for the review "Synthesizing Spectral and Field Observations of Post-fire Conifer Recovery in Dry Conifer Forests." It includes the datasheets used to extract data and the code used to process this dataset. 

For final figures please see the published paper. 

The structure of the folder is as follows: 

Python Code 

(1). RevisionsDataFormatting.ipynb - groups drivers into catagories and creates figures 3, 4, and 5. Relies on excel sheet Updated_Clean.xslx" 

(2). RecoveryPathways.ipynb - calculates the frequency of different pathways by approach. Relies on the excel sheet "RecoveryPathways.xlsx" Statistics are used to produce Figure 2

R-code: 

Supplemental_TableS1_Table_TableS2 : Creates .htmls for table S1, Table S2, and Table from processing associated datasheets

Supplemental_Table34: Creates .htmls for Table S3 and Table S4 

CalculatingDisturbance: Describes approach and data sources for calculating areas with fire disturbance across all of the westerncordillera. Runs on local files, but includes links to process the same data 

CalculateKappa: Calculates the kappa statistic for the review 

ShresthaVariableImpt: conversion of data from Shrestha et al. 2024 that is used to calculate the variable importance values used in the final calculation 

Excel Sheets

categories (1).csv: description of the driver categories

drivers_effects_ID (1).csv: driver ranked importance variables 

df_supplemental (1).csv: semi-processed and formatted data from Update_Clean.xlsx (procesing done in RevisionsDataFormatting.ipynb) 

ParentDatasheet.xslx-  includes the notes and from data extraction for all of the selected studies. Studies that include multiple forest types have duplicate entries.  

RecoveryPathways.xslx - simplified description of pathways for studies that included studies

full_text_exclusion_notes.xsls - describes inclusion and exclusion process for the full text exclusion research phase 

.RIS Searches for Literature Review

Zip file that includes all files incorporated in systematic review from different sources. Files are named by date of search
DOI: 10.48432/ifn7ay
title: Genomic regions possibly associated with anestrus in gilts.

description: To this study 239 Landrace x Large White F1 gilts with approximately 230 days from a commercial pig production farm with high sanitary status, located in the Santa Catarina state, Brazil. For DNA extraction, ear tissue were collected from 150 gilts detected with anestrus. The absence of estrus, vulva edema and hyperemia and three consecutive dosages of progesterone below 2.5 ng/mL in an 7 days interval were used to classify the gilts in anestrus (case group). An additional 150 samples were collected from gilts in estrus in a contemporary group, with same line, age, weight, time spent in the fourth place (control group). To be considered in estrus, gilts should be with ovary in luteal phase, and progesterone level above 2.5 ng/mL. To RNA extraction, 20 gilts (10 from each group) were transported to a slaughterhouse where estrus and anestrus were confirmed and hypothalamus and hypophyses samples were collected. DNA extraction and genotyping with PorcineSNP50 BeadChip (Illumina, EUA) from the 300 samples were performed at Neogen (Indaiatuba, São Paulo, Brazil). After received the genotypes, quality control was performed using PLINK v1.9 software. SNPs with call rate below 98%, with significant deviations (p&lt; 1x10-6) from the Hardy-Weinberg equilibrium, and with minor allele frequencies (MAF) lower than 5% and samples with call rates lower than 90% were excluded. For animals, the relationship between animals was estimated based on the genome wide IBD sharing and those samples with more than ±3 standard deviations of heterozygosity and identity by descent - IBD ≥ 98% were also removed. A multidimensional scaling (MDS) analysis was used to detect population structure in PLINK v1.9 software. The linkage disequilibrium (LD) between SNP pairs with a maximum distance of 5 Mb was measured by r2 values for each chromosome using the --indeppairwise parameter in PLINK v1.9 software. An extra genome wide association was also performed using gemma software.
DOI: 10.15468/dl.gc4rb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.025012 23.940898, 88.94817999999999 23.935322, 88.87326 23.918729, 88.80211300000001 23.891535, 88.736504 23.854414, 88.678059 23.808288, 88.628218 23.754301, 88.588206 23.693793, 88.558999 23.628259, 88.541302 23.559321, 88.535534 23.488679, 88.54181699999999 23.418074, 88.559979 23.349244, 88.589555 23.283878, 88.629803 23.22358, 88.679726 23.169827, 88.73809 23.123934, 88.803461 23.087024, 88.87424 23.059996, 88.948696 23.043511, 89.025012 23.037971, 89.101328 23.043511, 89.17578399999999 23.059996, 89.24656299999999 23.087024, 89.31193399999999 23.123934, 89.37029800000001 23.169827, 89.420221 23.22358, 89.460469 23.283878, 89.49004499999999 23.349244, 89.508207 23.418074, 89.51449 23.488679, 89.50872200000001 23.559321, 89.49102499999999 23.628259, 89.46181799999999 23.693793, 89.421806 23.754301, 89.371965 23.808288, 89.31352 23.854414, 89.247911 23.891535, 89.17676400000001 23.918729, 89.101844 23.935322, 89.025012 23.940898))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007731-260120142942310/datasets/export for details.
DOI: 10.15468/dl.a97r7x
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.838 6.109137, 117.767339 6.103566, 117.698422 6.086991, 117.63295 6.05982, 117.572538 6.022725, 117.518675 5.97662, 117.472688 5.922644, 117.435709 5.862126, 117.408645 5.796559, 117.392161 5.727558, 117.386659 5.656824, 117.39227 5.586099, 117.408851 5.517123, 117.435992 5.451594, 117.473021 5.391124, 117.519025 5.3372, 117.572871 5.291149, 117.633234 5.254102, 117.698628 5.226969, 117.767447 5.210418, 117.838 5.204856, 117.908553 5.210418, 117.977372 5.226969, 118.042766 5.254102, 118.103129 5.291149, 118.156975 5.3372, 118.202979 5.391124, 118.240008 5.451594, 118.267149 5.517123, 118.28373 5.586099, 118.289341 5.656824, 118.283839 5.727558, 118.267355 5.796559, 118.240291 5.862126, 118.203312 5.922644, 118.157325 5.97662, 118.103462 6.022725, 118.04305 6.05982, 117.977578 6.086991, 117.908661 6.103566, 117.838 6.109137))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 723 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007733-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6nm4h
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bolax gummifera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 55 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007734-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kwzt8s
title: Replication Data for: Coloring in the Lines

description: Data for paper replication with simulated maps.
DOI: 10.15468/dl.nkekz5
title: Occurrence Download

description: A dataset containing 61172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sprattus fuegensis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 61172 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007704-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqxcs4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.025012 23.940898, 88.94817999999999 23.935322, 88.87326 23.918729, 88.80211300000001 23.891535, 88.736504 23.854414, 88.678059 23.808288, 88.628218 23.754301, 88.588206 23.693793, 88.558999 23.628259, 88.541302 23.559321, 88.535534 23.488679, 88.54181699999999 23.418074, 88.559979 23.349244, 88.589555 23.283878, 88.629803 23.22358, 88.679726 23.169827, 88.73809 23.123934, 88.803461 23.087024, 88.87424 23.059996, 88.948696 23.043511, 89.025012 23.037971, 89.101328 23.043511, 89.17578399999999 23.059996, 89.24656299999999 23.087024, 89.31193399999999 23.123934, 89.37029800000001 23.169827, 89.420221 23.22358, 89.460469 23.283878, 89.49004499999999 23.349244, 89.508207 23.418074, 89.51449 23.488679, 89.50872200000001 23.559321, 89.49102499999999 23.628259, 89.46181799999999 23.693793, 89.421806 23.754301, 89.371965 23.808288, 89.31352 23.854414, 89.247911 23.891535, 89.17676400000001 23.918729, 89.101844 23.935322, 89.025012 23.940898))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007735-260120142942310/datasets/export for details.
DOI: 10.15468/dl.ebc9gc
title: Occurrence Download

description: A dataset containing 28858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stipa pennata"
 ]
}

 The dataset includes 28858 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007736-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr4ce3
title: Occurrence Download

description: A dataset containing 691 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.811 6.113137, 117.740339 6.107566, 117.671421 6.090991, 117.605949 6.06382, 117.545536 6.026725, 117.491673 5.98062, 117.445685 5.926643, 117.408706 5.866126, 117.381642 5.800559, 117.365158 5.731558, 117.359656 5.660824, 117.365267 5.590099, 117.381848 5.521123, 117.40899 5.455594, 117.446019 5.395124, 117.492023 5.3412, 117.54587 5.295149, 117.606232 5.258102, 117.671627 5.230969, 117.740447 5.214419, 117.811 5.208856, 117.881553 5.214419, 117.950373 5.230969, 118.015768 5.258102, 118.07613 5.295149, 118.129977 5.3412, 118.175981 5.395124, 118.21301 5.455594, 118.240152 5.521123, 118.256733 5.590099, 118.262344 5.660824, 118.256842 5.731558, 118.240358 5.800559, 118.213294 5.866126, 118.176315 5.926643, 118.130327 5.98062, 118.076464 6.026725, 118.016051 6.06382, 117.950579 6.090991, 117.881661 6.107566, 117.811 6.113137))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 691 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007737-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybsw9f
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bonannia graeca",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007739-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18353354
title: Marine heatwave resilience in Posidonia oceanica: meristematic tissues proteomics reveals Tyrrhenian–Ionian divergence
DOI: 10.5281/zenodo.18353353
title: Marine heatwave resilience in Posidonia oceanica: meristematic tissues proteomics reveals Tyrrhenian–Ionian divergence
DOI: 10.5281/zenodo.18353478
title: Coupling heterogeneity in the Cascadia slow-slip zone from GNSS inversion and reduced-order modeling-accelerated rate-and-state friction simulations Code and Data

description: Yohai Magen1, Alice-Agnes Gabriel1,2, Dave A. May1

1 Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, CA, USA

2 Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Munich, Germany

 

**Corresponding author**: Yohai Magen (ymagen@ucsd.edu)

 

---

Please read README.md for more details
DOI: 10.5281/zenodo.18353479
title: Coupling heterogeneity in the Cascadia slow-slip zone from GNSS inversion and reduced-order modeling-accelerated rate-and-state friction simulations Code and Data

description: Yohai Magen1, Alice-Agnes Gabriel1,2, Dave A. May1

1 Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, CA, USA

2 Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Munich, Germany

 

**Corresponding author**: Yohai Magen (ymagen@ucsd.edu)

 

---

Please read README.md for more details
DOI: 10.5281/zenodo.18173780
title: Canada1Water Drainage Basins Routing Adjacency Matrix

description: Here we provide the adjacency matrix that defines node routing for the 8-digit sub-watershed polygons within the Canada1Water model domain. The National Hydrographic Network (NHN) Working Limits and the National Hydrography Dataset (NHD) WBDHU8 provide the Canadian and U.S. data coverage, respectively. This adjacency matrix is the key for upstream and downstream sub-watershed routing.

Files; C1W_NHN_NHD_routing_simplified_v2_graph_routing.zip    - contains the adjaceny matrixC1W_NHN_NHD_coordinates_sf.zip                                        - centroid vertices of the sub-waterhsed polygons    C1W_NHN_NHD_routing_simplified_correctdirect.zip            - edges that connect the watersehds with correct geometry direction pointing downstreamC1W_NHN_NHD_coordinates_sf_leaf_coords.zip                    - headwater tributary nodes in the routing networkC1W_NHN_NHD_coordinates_sf_mouth_coords.zip               - terminal sub-watershed nodes either at the coastline or Endorheic basins

Additional Files;C1W_ModelBoundaries_subWatersheds.zip                           - NHN and NHD subwatershed polygonsKessel, E. D., Frey, S. K., & Russell, H. A. J. (2025). Canada1Water Model Boundaries, Drainage Basins and a High-Resolution Coastline (1.0) [Data set]. Canada1Water. https://doi.org/10.5281/zenodo.17807640
DOI: 10.5281/zenodo.18173781
title: Canada1Water Drainage Basins Routing Adjacency Matrix

description: Here we provide the adjacency matrix that defines node routing for the 8-digit sub-watershed polygons within the Canada1Water model domain. The National Hydrographic Network (NHN) Working Limits and the National Hydrography Dataset (NHD) WBDHU8 provide the Canadian and U.S. data coverage, respectively. This adjacency matrix is the key for upstream and downstream sub-watershed routing.

Files; C1W_NHN_NHD_routing_simplified_v2_graph_routing.zip    - contains the adjaceny matrixC1W_NHN_NHD_coordinates_sf.zip                                        - centroid vertices of the sub-waterhsed polygons    C1W_NHN_NHD_routing_simplified_correctdirect.zip            - edges that connect the watersehds with correct geometry direction pointing downstreamC1W_NHN_NHD_coordinates_sf_leaf_coords.zip                    - headwater tributary nodes in the routing networkC1W_NHN_NHD_coordinates_sf_mouth_coords.zip               - terminal sub-watershed nodes either at the coastline or Endorheic basins

Additional Files;C1W_ModelBoundaries_subWatersheds.zip                           - NHN and NHD subwatershed polygonsKessel, E. D., Frey, S. K., & Russell, H. A. J. (2025). Canada1Water Model Boundaries, Drainage Basins and a High-Resolution Coastline (1.0) [Data set]. Canada1Water. https://doi.org/10.5281/zenodo.17807640