cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v3hj69
title: Occurrence Download

description: A dataset containing 46284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonicera japonica Thunb., Phytolacca americana L., Tsuga heterophylla (Raf.) Sarg., Gleditsia triacanthos L., Cotoneaster dammeri C.K.Schneid., Sagittaria latifolia Willd., Paulownia tomentosa (Thunb.) Steud., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Viburnum rhytidophyllum Hemsl. ex Forbes & Hemsl., Ailanthus altissima (Mill.) Swingle, Erythranthe guttata (DC.) G.L.Nesom, Prunus laurocerasus L., Pinus strobus L., Thuja plicata Donn ex D.Don, Acer saccharinum L., Crassula helmsii (Kirk) Cockayne, Myriophyllum aquaticum (Vell.) Verdc., Rosa multiflora Thunb., Lonicera pileata Oliv., Ludwigia grandiflora (Michx.) Greuter & Burdet, Parthenocissus quinquefolia (L.) Planch., Cotoneaster hjelmqvistii Flinck & B.Hylmö, Juglans nigra L., Lemna minuta Kunth, Quercus palustris Münchh., Ligustrum ovalifolium Hassk., Hydrocotyle ranunculoides L.fil.)",
 "OccurrenceStatus is one of (Present)",
 "Country is one of (Belgium)",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2023",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 46284 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056884-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6kgu5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lethrinops mylodon Eccles & Lewis, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.4853 -17.9002,43.2454 -18.319,43.3669 -18.7475,43.7392 -19.0523,43.9101 -19.9313,43.3088 -20.6095,42.6924 -22.1145,43.1438 -23.4412,43.2023 -24.5126,43.4152 -24.9401,46.1382 -24.9401,46.1382 -15.9401,43.6816 -15.9401,43.501 -16.1338,43.501 -16.5181,43.7601 -16.7795,43.2797 -17.3607,43.4853 -17.9002))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056885-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4d28bf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Liolaemus lentus Gallardo, 1966"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056886-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4ct34
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorosarcina Gerneck, 1907",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056887-250525065834625/datasets/export for details.
DOI: 10.15468/dl.sgw74r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lethrinops mylodon Eccles & Lewis, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.2262 -16.9066,42.991 -16.6199,42.5693 -16.563,42.237 -16.8562,42.2373 -17.2371,42.4892 -17.5028,42.907 -17.5351,43.1823 -17.3111,43.2262 -16.9066))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056889-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xkzbaj
title: Occurrence Download

description: A dataset containing 48039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonicera japonica Thunb., Phytolacca americana L., Tsuga heterophylla (Raf.) Sarg., Gleditsia triacanthos L., Cotoneaster dammeri C.K.Schneid., Sagittaria latifolia Willd., Paulownia tomentosa (Thunb.) Steud., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Viburnum rhytidophyllum Hemsl. ex Forbes & Hemsl., Ailanthus altissima (Mill.) Swingle, Erythranthe guttata (DC.) G.L.Nesom, Prunus laurocerasus L., Pinus strobus L., Thuja plicata Donn ex D.Don, Acer saccharinum L., Crassula helmsii (Kirk) Cockayne, Myriophyllum aquaticum (Vell.) Verdc., Rosa multiflora Thunb., Lonicera pileata Oliv., Ludwigia grandiflora (Michx.) Greuter & Burdet, Parthenocissus quinquefolia (L.) Planch., Cotoneaster hjelmqvistii Flinck & B.Hylmö, Juglans nigra L., Lemna minuta Kunth, Quercus palustris Münchh., Ligustrum ovalifolium Hassk., Hydrocotyle ranunculoides L.fil., Parthenocissus inserta (A.Kern.) Fritsch)",
 "OccurrenceStatus is one of (Present)",
 "Country is one of (Belgium)",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2023",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 48039 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056888-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34725/dvn/mr2com/usf216
title: Kenya_giz_mir_predictions.tab

description: :unav
DOI: 10.34725/dvn/mr2com/zaexy9
title: table_plotproperties_Kenya_cleaned_dataversecsv.tab

description: :unav
DOI: 10.34725/dvn/mr2com/39nftd
title: ldsf_description of codesv5.tab

description: :unav
DOI: 10.34725/dvn/mr2com/ksuded
title: table_treespecies_SicheUgunja_cleaned.tab

description: :unav
DOI: 10.34725/dvn/mr2com/c06e8e
title: GIZ_ICRAF_SOC_Results_Nov 2022.pdf

description: :unav
DOI: 10.34725/dvn/mr2com
title: Spatial Assessments of Changes in Soil Health Indicators in Kenya

description: The Land Degradation Surveillance Framework (LDSF) (http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/) was developed by the World Agroforestry (ICRAF) in response to the need for consistent field methods and indicator frameworks to assess land and soil health across landscapes, including quantifying SOC and understanding land degradation dynamics and other factors that drive changes in SOC.
DOI: 10.5281/zenodo.15697960
title: Spatial distribution and diversity of mcyA gene-carrying cyanobacteria in planktonic and benthic communities of Swiss alpine lakes

description: Cyanobacteria are notorious for producing harmful toxins, including microcystins, which can severely impact animal and human health. In Swiss alpine lakes, past episodes of cattle deaths have been linked to acute hepatotoxicosis caused by microcystins from benthic cyanobacteria but to date not much is known about the diversity of microcystin-producing cyanobacteria in these ecosystems, their spatial distribution or favorable ecological niches. In this study, we examined the presence and distribution of microcystin-producing cyanobacteria across 31 alpine lakes in Switzerland, conducting a comparative survey of both planktonic and benthic environments. A total of 64 biomass samples were collected from high-altitude lakes in the Alps between June and October 2022. We used digital PCR (dPCR) to quantify the mcyA gene, a marker for cyanobacteria carrying microcystin genes, and performed high throughput 16S rRNA sequencing to characterize the taxonomic diversity of cyanobacterial communities. The obtained results revealed that 80% of the planktonic samples and 91% of the benthic samples tested positive for the mcyA gene, indicating the widespread presence of potentially toxic cyanobacteria in these lakes. Benthic environments showed comparable or higher mcyA concentrations per unit biomass to planktonic samples, taken from the same locations, with biofilms and rock mats exhibiting the highest levels. Moran’s I statistic revealed significant spatial clustering of mcyA-carrying cyanobacteria, suggesting the presence of higher-risk locations in the Alps. Principal component analysis (PCA) identified lower precipitation levels as the most influential tested environmental factor driving this clustering. 16S rRNA analysis further revealed distinct cyanobacterial community compositions between planktonic and benthic environments in remote altitude lakes, with genera Phormidesmis and Leptolyngbya dominant in benthic habitats, while Pseudoanabaena and Tychonema were more prevalent in planktonic samples. Our findings suggest that water flow may play a significant role in driving the proliferation of mcyA carrying cyanobacteria in high altitdue lakes of the Swiss Alps and highlight the need for integrated monitoring of both benthic and planktonic cyanobacteria to correctly assess the risk of microcystin exposure in alpine lakes.
DOI: 10.5281/zenodo.15698081
title: Data for "Contrasting Tropical SST Warming in Two Climate Models: The Roles of Winds, Clouds, Evaporative Cooling, and Ocean Dynamics"

description: This dataset supports the paper "Contrasting Tropical SST Warming in Two Climate Models: The Roles of Winds, Clouds, Evaporative Cooling, and Ocean Dynamics." It includes selected output variables from the climate model simulations analyzed in the study, along with Jupyter notebooks used to generate the figures and analyses presented in the manuscript.
DOI: 10.5281/zenodo.15698082
title: Data for "Contrasting Tropical SST Warming in Two Climate Models: The Roles of Winds, Clouds, Evaporative Cooling, and Ocean Dynamics"

description: This dataset supports the paper "Contrasting Tropical SST Warming in Two Climate Models: The Roles of Winds, Clouds, Evaporative Cooling, and Ocean Dynamics." It includes selected output variables from the climate model simulations analyzed in the study, along with Jupyter notebooks used to generate the figures and analyses presented in the manuscript.
DOI: 10.15468/dl.huq24n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorosarcina Gerneck, 1907",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056890-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gyxks6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Liolaemus lenzi Boettger, 1891"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056891-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34725/dvn/cf2dgq/ujpizr
title: Benin_giz_mir_predictions.tab

description: :unav
DOI: 10.34725/dvn/cf2dgq/kq9w1w
title: table_treespecies_Benin_cleaned.tab

description: :unav
DOI: 10.34725/dvn/cf2dgq/6e11it
title: table_plotproperties_Benin_cleaned_dataversecsv.tab

description: :unav
DOI: 10.34725/dvn/cf2dgq/e4ndup
title: ldsf_description of codesv5.tab

description: :unav
DOI: 10.34725/dvn/cf2dgq
title: Spatial Assessments of Changes in Soil Health Indicators in Benin

description: The Land Degradation Surveillance Framework (LDSF) (http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/) was developed by the World Agroforestry (ICRAF) in response to the need for consistent field methods and indicator frameworks to assess land and soil health across landscapes, including quantifying SOC and understanding land degradation dynamics and other factors that drive changes in SOC.
DOI: 10.34725/dvn/cf2dgq/gypmuh
title: GIZ_ICRAF_SOC_Results_Nov 2022.pdf

description: :unav
DOI: 10.15468/dl.fv72ra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lethrinops mylodon Eccles & Lewis, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.4338 -16.6515,40.833 -15.9401,37.1382 -15.9401,37.1382 -18.642,37.5549 -18.1303,38.5882 -17.6405,39.1071 -17.6835,39.6106 -17.1715,40.0468 -17.0272,40.4338 -16.6515))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056892-250525065834625/datasets/export for details.
DOI: 10.34725/dvn/ujvtk8/snw3rk
title: table_shrubspecies_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/burjrc
title: Infiltration_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/3waila
title: table_plotproperties_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/q5heba
title: ldsf_mirpred_soilvars_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/89dcj0
title: table_treespecies_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/6mrkxt
title: table_rangelands_DT_DR.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8/59pmkk
title: Predicted Soil Variables Description.tab

description: :unav
DOI: 10.34725/dvn/ujvtk8
title: Baseline assessment of soil and land health indicators within the 'Drylands Transform' and 'Drylands Restore' sites in Kenya and Uganda using the LDSF

description: These data were collected within the research projects 'Achieving the SDGs in East African drylands: Pathways and challenges towards a social-ecological transformation of landscapes, livestock and livelihoods (Drylands Transform)' and 'Management and restoration towards healthy rangelands in East Africa (Drylands Restore)' led by SLU and funded by the Swedish Research Council for Sustainable Development - Formas. The data were collected using the Land Degradation Surveillance Framework (LDSF) methodology developed by ICRAF (http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/). This dataset contains LDSF field data from five LDSF sites - three in Kenya (Chepareria, Kalama and Lokiriama) and two in Uganda (Matany and Rupa) - totalling 778 LDSF plots. It also contains the predictions using MIR Spectroscopy for 1515 Topsoil (0-20cm) and Subsoil (20-50cm) samples for eleven soil variables, including soil organic carbon, total nitrogen and pH.
DOI: 10.15468/dl.tahxct
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorosarcina Gerneck, 1907",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056894-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xrkfbr
title: Occurrence Download

description: A dataset containing 1580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Brachiopoda collection of the Shirshov Institute of Oceanology, Laboratory of Ocean Benthic Fauna",
 "Issue is Country derived from coordinates"
 ]
}

 The dataset includes 1580 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056893-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxnrtm
title: Occurrence Download

description: A dataset containing 759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Lonicera japonica Thunb.",
 "Year 1980-2025"
 ]
}

 The dataset includes 759 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056895-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26050/wdcc/vortex_ua-icon
title: High-resolution nested UA-ICON Simulation during the VortEx Campaign

description: Project: DataWave: Collaborative Gravity Wave Research - DataWave (https://datawaveproject.github.io/) is an international consortium dedicated to improving our understanding and representation of gravity waves. The DataWave project focuses on enhancing our modeling capability for gravity waves and large-scale circulation, particularly to lead to novel observationally constrained and data-driven gravity wave parameterization schemes.
This project is supported by Schmidt Sciences, LLC., as part of the Virtual Earth System Research Institute (VESRI). This work utilized resources from the Deutsches Klimarechenzentrum (DKRZ), granted by its Scientific Steering Committee (WLA) under project IDs bb1371, and bm1233.
Summary: This dataset contains high-resolution nested simulations conducted over Andøya, Norway (ALOMAR) with UA-ICON (ua-icon-2.1) in the context of the NASA Vorticity Experiment (VortEx) sounding rocket campaign in March 2023. UA-ICON was configured with 180 vertical levels, a model top at 150 km, and a global horizontal resolution of R2B7 (~20 km). One-way nesting was applied to achieve progressively finer resolutions of R2B8 (~10 km), R2B9 (~5 km), R2B10 (~2.5 km), and R2B11 (~1.25 km). In the global domain (~20 km resolution), the large-scale dynamics during the campaign were specified by nudging to ECMWF operational analyses up to an altitude of 50 km. At resolutions finer than 5 km, UA-ICON resolves a significant portion of the gravity wave (GW) spectrum. Consequently, GW and convective parameterizations were progressively turned off, starting from domain DOM3 (~5 km), to isolate the effects of resolved GWs. The simulations show satisfactory agreement with observations, highlighting the model’s capabilities for investigating the dynamics in the MLT region.
DOI: 10.34725/dvn/igjzlf/tgl20n
title: 0Variables Description-Gambia.tab

description: Variables description
DOI: 10.34725/dvn/igjzlf/cjoiex
title: MIR-Gambia.tab

description: MIR Spectral data
DOI: 10.34725/dvn/igjzlf/ukw1cf
title: Wet-chemistry_Gambia.tab

description: Wet chemistry data
DOI: 10.34725/dvn/igjzlf
title: Biophysical Soil and Land Health Assessment in the Gambia

description: The Land Degradation Surveillance Framework (LDSF) survey was a collaborative effort among a number of national universities, government technical services, national soil and forestry departments, research institutions and soil laboratories. Field teams spent about five weeks in the field observing vegetation conditions, land use, and visible erosion and taking soil samples. Soil samples were analyzed for a suite of physical and chemical properties. Analyses of these data were designed to provide an understanding of the landscape status based on easily discernible characteristics, particularly by site. The analysis also provides spatially explicit analysis of these findings as digital maps that can be used to provide very site-specific information on the health of soil and vegetation throughout the three LDSF sites. The aim was to provide some generalizable key problems and straightforward management recommendations. The field surveys took place in February 2021, with three field team working simultaneously. These surveys were led by the ICRAF team in Gambia in collaboration with the soil and forestry departments. The LDSF field training and data collection was led by ICRAF national team in Gambia, while the soil and forest departments of Gambia provided logistics support during the field work and data collection. This activity was conducted by World Agroforestry (ICRAF) as an output of the project, ‘Large-Scale Ecosystem-Based Adaptation in The Gambia River Basin: Developing a Climate Resilient, Natural Resource-Based Economy’. The project is funded by the Green Climate Fund and implemented by the Government of The Gambia with the support of United Nations Environment Programme (UNEP). In total, 474 plots of 1000 m2 were sampled: 160 plots in Changai, 158 plots in Dumboto and 156 plots in Gambisarra.
DOI: 10.15468/dl.zmvycr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lethrinops mylodon Eccles & Lewis, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.7407 -15.8768,43.6816 -15.9401,46.1382 -15.9401,46.1382 -15.1614,46.0559 -15.2167,45.4781 -15.3105,44.725 -15.7042,43.7407 -15.8768))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056896-250525065834625/datasets/export for details.
DOI: 10.34725/dvn/kkhvof/idz1gl
title: Variables Description_Soil agronomy.tab

description: :unav
DOI: 10.34725/dvn/kkhvof/qixwt5
title: maize_production_8_17.R

description: :unav
DOI: 10.34725/dvn/kkhvof/ak5hjb
title: Maize_production_legend.tab

description: :unav
DOI: 10.34725/dvn/kkhvof/nfro2m
title: SoilTissueGrainYieldHS4_Soil agronomy.tab

description: :unav
DOI: 10.34725/dvn/kkhvof/tgnsci
title: maize_production_input_table.tab

description: :unav