cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4xyvsg
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Carinoscolia"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001449-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwkzkm
title: Occurrence Download

description: A dataset containing 932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Barringtonia racemosa"
 ]
}

 The dataset includes 932 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001450-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321345
title: Trichocline maxima Less. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18321344
title: Trichocline maxima Less. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.7kr43s
title: Occurrence Download

description: A dataset containing 8206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ardea alba",
 "Year 2006-2026"
 ]
}

 The dataset includes 8206 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001451-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321362
title: Tephrosia tomentosa (Forssk.) Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18321363
title: Tephrosia tomentosa (Forssk.) Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.a32b8q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.075 0.661184, 111.004732 0.655617, 110.936195 0.639052, 110.871077 0.611897, 110.81098 0.574821, 110.757386 0.528738, 110.711613 0.474781, 110.674788 0.414281, 110.647818 0.348726, 110.631367 0.27973, 110.625839 0.208994, 110.631371 0.138257, 110.647826 0.06926300000000001, 110.674798 0.003709, 110.711625 -0.05679, 110.757399 -0.110744, 110.810993 -0.156826, 110.871087 -0.1939, 110.936203 -0.221053, 111.004736 -0.237618, 111.075 -0.243185, 111.145264 -0.237618, 111.213797 -0.221053, 111.278913 -0.1939, 111.339007 -0.156826, 111.392601 -0.110744, 111.438375 -0.05679, 111.475202 0.003709, 111.502174 0.06926300000000001, 111.518629 0.138257, 111.524161 0.208994, 111.518633 0.27973, 111.502182 0.348726, 111.475212 0.414281, 111.438387 0.474781, 111.392614 0.528738, 111.33902 0.574821, 111.278923 0.611897, 111.213805 0.639052, 111.145268 0.655617, 111.075 0.661184))"},{"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/0001452-260120142942310/datasets/export for details.
DOI: 10.15468/dl.8m54pm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.792 4.413161, 113.72153 4.407591, 113.652798 4.391018, 113.587499 4.363852, 113.527244 4.326762, 113.473517 4.280663, 113.427641 4.226692, 113.390745 4.166178, 113.363737 4.100614, 113.347279 4.031613, 113.341774 3.960877, 113.347355 3.890147, 113.363881 3.821164, 113.390943 3.755626, 113.427873 3.695146, 113.473761 3.641212, 113.527476 3.59515, 113.587697 3.558093, 113.652942 3.530954, 113.721605 3.514399, 113.792 3.508835, 113.862395 3.514399, 113.931058 3.530954, 113.996303 3.558093, 114.056524 3.59515, 114.110239 3.641212, 114.156127 3.695146, 114.193057 3.755626, 114.220119 3.821164, 114.236645 3.890147, 114.242226 3.960877, 114.236721 4.031613, 114.220263 4.100614, 114.193255 4.166178, 114.156359 4.226692, 114.110483 4.280663, 114.056756 4.326762, 113.996501 4.363852, 113.931202 4.391018, 113.86247 4.407591, 113.792 4.413161))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001453-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321370
title: Zephyranthes martinezii (Ravenna) Nic.García. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18321371
title: Zephyranthes martinezii (Ravenna) Nic.García. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18321372
title: Stylosanthes rostrata (Burkart) Vanni. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18321373
title: Stylosanthes rostrata (Burkart) Vanni. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.ex778q
title: Occurrence Download

description: A dataset containing 609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Bauhinia purpurea"
 ]
}

 The dataset includes 609 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001454-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zm7u9j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.552 0.665184, 111.481732 0.659617, 111.413195 0.643052, 111.348077 0.615897, 111.28798 0.578821, 111.234386 0.532738, 111.188613 0.478781, 111.151788 0.418281, 111.124818 0.352725, 111.108367 0.28373, 111.102839 0.212993, 111.108371 0.142257, 111.124826 0.07326299999999999, 111.151798 0.007709, 111.188625 -0.05279, 111.234399 -0.106745, 111.287993 -0.152826, 111.348087 -0.1899, 111.413203 -0.217053, 111.481736 -0.233618, 111.552 -0.239185, 111.622264 -0.233618, 111.690797 -0.217053, 111.755913 -0.1899, 111.816007 -0.152826, 111.869601 -0.106745, 111.915375 -0.05279, 111.952202 0.007709, 111.979174 0.07326299999999999, 111.995629 0.142257, 112.001161 0.212993, 111.995633 0.28373, 111.979182 0.352725, 111.952212 0.418281, 111.915387 0.478781, 111.869614 0.532738, 111.81602 0.578821, 111.755923 0.615897, 111.690805 0.643052, 111.622268 0.659617, 111.552 0.665184))"},{"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/0001455-260120142942310/datasets/export for details.
DOI: 10.15468/dl.jfvfe6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.893 4.413161, 113.82253 4.407591, 113.753798 4.391018, 113.688499 4.363852, 113.628244 4.326762, 113.574517 4.280663, 113.528641 4.226692, 113.491745 4.166178, 113.464737 4.100614, 113.448279 4.031613, 113.442774 3.960877, 113.448355 3.890147, 113.464881 3.821164, 113.491943 3.755626, 113.528873 3.695146, 113.574761 3.641212, 113.628476 3.59515, 113.688697 3.558093, 113.753942 3.530954, 113.822605 3.514399, 113.893 3.508835, 113.963395 3.514399, 114.032058 3.530954, 114.097303 3.558093, 114.157524 3.59515, 114.211239 3.641212, 114.257127 3.695146, 114.294057 3.755626, 114.321119 3.821164, 114.337645 3.890147, 114.343226 3.960877, 114.337721 4.031613, 114.321263 4.100614, 114.294255 4.166178, 114.257359 4.226692, 114.211483 4.280663, 114.157756 4.326762, 114.097501 4.363852, 114.032202 4.391018, 113.96347 4.407591, 113.893 4.413161))"},{"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 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001456-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321079
title: Firm-Level Panel Data of 12 Selected Publicly Listed Companies in Bursa Malaysia

description: This dataset comprises annual firm-level observations for 12 selected companies listed on Bursa Malaysia—namely CIMB Group Holdings Berhad, Public Bank Berhad, Hup Seng Industries Berhad, Sime Darby Berhad, Tenaga Nasional Berhad, Telekom Malaysia Berhad, Tiong Nam Logistics Holdings Berhad, Petronas Gas Berhad, Maxis Berhad, Bursa Malaysia Berhad, Genting Berhad, and MISC Berhad—covering the period from 2020 to 2024. The selected firms span diverse sectors of the Malaysian economy, thereby providing a balanced cross-sectional structure suitable for panel data analysis.

Raw financial and market data were obtained from Yahoo Finance and the official annual reports of the respective companies and were subsequently processed and transformed into the key study variables. These variables include stock price volatility, Tobin’s Q, firm size, leverage, and return on assets (ROA), along with firm and year identifiers.
DOI: 10.5281/zenodo.18321078
title: Firm-Level Panel Data of 12 Selected Publicly Listed Companies in Bursa Malaysia

description: This dataset comprises annual firm-level observations for 12 selected companies listed on Bursa Malaysia—namely CIMB Group Holdings Berhad, Public Bank Berhad, Hup Seng Industries Berhad, Sime Darby Berhad, Tenaga Nasional Berhad, Telekom Malaysia Berhad, Tiong Nam Logistics Holdings Berhad, Petronas Gas Berhad, Maxis Berhad, Bursa Malaysia Berhad, Genting Berhad, and MISC Berhad—covering the period from 2020 to 2024. The selected firms span diverse sectors of the Malaysian economy, thereby providing a balanced cross-sectional structure suitable for panel data analysis.

Raw financial and market data were obtained from Yahoo Finance and the official annual reports of the respective companies and were subsequently processed and transformed into the key study variables. These variables include stock price volatility, Tobin’s Q, firm size, leverage, and return on assets (ROA), along with firm and year identifiers.
DOI: 10.15468/dl.3qtbff
title: Occurrence Download

description: A dataset containing 1089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CAN.11.65_1, CAN.7_1, CAN.4_1, CAN.5_1, CAN.10_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Parthenocissus quinquefolia, Valeriana officinalis, Helianthus tuberosus, Stratiotes aloides, Salvinia)"
 ]
}

 The dataset includes 1089 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001457-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321326
title: Facebook reviews, graph connections data
DOI: 10.5281/zenodo.18321327
title: Facebook reviews, graph connections data
DOI: 10.5281/zenodo.18321388
title: Tricerma Liebm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18321387
title: Tricerma Liebm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320709
title: DATA BASE- Integrated surveillance of arboviruses in febrile patients from the Brazilian Amazon reveals complex co-circulation dynamics and hidden viral diversity

description: The dataset creat_new_20_01_2026 corresponds exclusively to the database used in the production of the associated scientific article. It includes the information necessary to reproduce the statistical and epidemiological analyses presented in the manuscript, including demographic, clinical, and laboratory variables, as described in the corresponding codebook.

The codebookcreat repository consists of the data dictionary associated with this dataset, containing detailed descriptions of the variables, conceptual definitions, formats, units of measurement, categories, coding schemes, and criteria for missing values. The codebook was developed with the objective of ensuring correct interpretation of the data.
DOI: 10.5281/zenodo.18321098
title: DATA BASE- Integrated surveillance of arboviruses in febrile patients from the Brazilian Amazon reveals complex co-circulation dynamics and hidden viral diversity

description: The dataset creat_new_20_01_2026 corresponds exclusively to the database used in the production of the associated scientific article. It includes the information necessary to reproduce the statistical and epidemiological analyses presented in the manuscript, including demographic, clinical, and laboratory variables, as described in the corresponding codebook.

The codebookcreat repository consists of the data dictionary associated with this dataset, containing detailed descriptions of the variables, conceptual definitions, formats, units of measurement, categories, coding schemes, and criteria for missing values. The codebook was developed with the objective of ensuring correct interpretation of the data.
DOI: 10.5281/zenodo.18321360
title: Dataset for "A persistent soil carbon sink induced by land use and cover change in China".

description: We created an extensive SOC dataset through pairwise field sampling (with vs. without LUCC), integrating a large-scale field survey with a thorough literature synthesis. Leveraging this dataset, we developed an integrated extreme gradient boosting (XGBoost) and Shapley additive explanation (SHAP) approach to gain data-driven insights into the factors regulating the spatiotemporal variations of ΔSOCD. By coupling pixel-level predictions across China with reconstructed annual land conversion trajectories derived from high-resolution land-use datasets, we quantified the national-scale SOC budget induced by historical LUCC and evaluate its contribution to China's terrestrial carbon cycle.
DOI: 10.5281/zenodo.18321361
title: Dataset for "A persistent soil carbon sink induced by land use and cover change in China".

description: We created an extensive SOC dataset through pairwise field sampling (with vs. without LUCC), integrating a large-scale field survey with a thorough literature synthesis. Leveraging this dataset, we developed an integrated extreme gradient boosting (XGBoost) and Shapley additive explanation (SHAP) approach to gain data-driven insights into the factors regulating the spatiotemporal variations of ΔSOCD. By coupling pixel-level predictions across China with reconstructed annual land conversion trajectories derived from high-resolution land-use datasets, we quantified the national-scale SOC budget induced by historical LUCC and evaluate its contribution to China's terrestrial carbon cycle.
DOI: 10.34740/kaggle/dsv/14565303
title: World Athletics Calendar (worldathletics.org)
DOI: 10.15468/dl.2adshv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.163 0.671184, 103.092732 0.665617, 103.024195 0.649052, 102.959076 0.621897, 102.89898 0.584821, 102.845385 0.5387380000000001, 102.799612 0.484781, 102.762788 0.42428, 102.735818 0.358725, 102.719367 0.28973, 102.713839 0.218993, 102.719371 0.148257, 102.735826 0.079262, 102.762798 0.013709, 102.799625 -0.04679, 102.845399 -0.100745, 102.898993 -0.146826, 102.959087 -0.1839, 103.024203 -0.211053, 103.092736 -0.227618, 103.163 -0.233185, 103.233264 -0.227618, 103.301797 -0.211053, 103.366913 -0.1839, 103.427007 -0.146826, 103.480601 -0.100745, 103.526375 -0.04679, 103.563202 0.013709, 103.590174 0.079262, 103.606629 0.148257, 103.612161 0.218993, 103.606633 0.28973, 103.590182 0.358725, 103.563212 0.42428, 103.526388 0.484781, 103.480615 0.5387380000000001, 103.42702 0.584821, 103.366924 0.621897, 103.301805 0.649052, 103.233268 0.665617, 103.163 0.671184))"},{"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/0001458-260120142942310/datasets/export for details.
DOI: 10.15468/dl.h4rbuk
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.178 4.41716, 101.10753 4.411591, 101.038797 4.395018, 100.973498 4.367852, 100.913243 4.330762, 100.859515 4.284663, 100.813639 4.230692, 100.776743 4.170178, 100.749735 4.104613, 100.733277 4.035613, 100.727772 3.964877, 100.733353 3.894147, 100.749879 3.825164, 100.776941 3.759626, 100.813872 3.699146, 100.85976 3.645212, 100.913475 3.59915, 100.973696 3.562093, 101.038941 3.534954, 101.107605 3.518399, 101.178 3.512835, 101.248395 3.518399, 101.317059 3.534954, 101.382304 3.562093, 101.442525 3.59915, 101.49624 3.645212, 101.542128 3.699146, 101.579059 3.759626, 101.606121 3.825164, 101.622647 3.894147, 101.628228 3.964877, 101.622723 4.035613, 101.606265 4.104613, 101.579257 4.170178, 101.542361 4.230692, 101.496485 4.284663, 101.442757 4.330762, 101.382502 4.367852, 101.317203 4.395018, 101.24847 4.411591, 101.178 4.41716))"},{"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 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001460-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321247
title: Dataset for "A persistent soil carbon sink induced by land use and cover change in China".

description: We created an extensive SOC dataset through pairwise field sampling (with vs. without LUCC), integrating a large-scale field survey with a thorough literature synthesis. Leveraging this dataset, we developed an integrated extreme gradient boosting (XGBoost) and Shapley additive explanation (SHAP) approach to gain data-driven insights into the factors regulating the spatiotemporal variations of ΔSOCD. By coupling pixel-level predictions across China with reconstructed annual land conversion trajectories derived from high-resolution land-use datasets, we quantified the national-scale SOC budget induced by historical LUCC and evaluate its contribution to China's terrestrial carbon cycle.
DOI: 10.5281/zenodo.18321391
title: Youngia Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18321392
title: Youngia Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18321398
title: Stipa megapotamia Spreng. ex Trin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18321397
title: Stipa megapotamia Spreng. ex Trin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55