cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-3680/3
title: res_prod_10s_0.pick

description: :unav
DOI: 10.18419/darus-3680/4
title: intswim_stick_test.py

description: :unav
DOI: 10.18419/darus-3680/5
title: run_tests.py

description: :unav
DOI: 10.18419/darus-3680/6
title: placement_growing_dividing_test.py

description: :unav
DOI: 10.18419/darus-3680/7
title: params_prod_swim_1.pick

description: :unav
DOI: 10.18419/darus-3680/8
title: README.md

description: :unav
DOI: 10.18419/darus-3680/9
title: parameters.py

description: :unav
DOI: 10.18419/darus-3680/10
title: res_prod_swim_1.pick

description: :unav
DOI: 10.18419/darus-3680/11
title: growing_chain.py

description: :unav
DOI: 10.18419/darus-3680/12
title: conf.py

description: :unav
DOI: 10.18419/darus-3680/13
title: motilities_test.py

description: :unav
DOI: 10.18419/darus-3680/14
title: wall_sticking.py

description: :unav
DOI: 10.18419/darus-3680/15
title: visualize_geometry.py

description: :unav
DOI: 10.18419/darus-3680/16
title: params_prod_swim_3.pick

description: :unav
DOI: 10.18419/darus-3680/17
title: intswim_sticking.py

description: :unav
DOI: 10.18419/darus-3680/18
title: pyproject.toml

description: :unav
DOI: 10.18419/darus-3680/19
title: params_prod_swim_0.pick

description: :unav
DOI: 10.18419/darus-3680/20
title: results_epsilon_var.xlsx

description: :unav
DOI: 10.18419/darus-3680/21
title: setup_common.py

description: :unav
DOI: 10.18419/darus-3680/22
title: growth_models.py

description: :unav
DOI: 10.18419/darus-3680/23
title: nutrients_test.py

description: :unav
DOI: 10.18419/darus-3680/24
title: evaluate_simulations.py

description: :unav
DOI: 10.18419/darus-3680/25
title: biofilm_condor_submit.py

description: :unav
DOI: 10.18419/darus-3680/26
title: quorum_sensor_test.py

description: :unav
DOI: 10.18419/darus-3680/27
title: quorum_sensor.py

description: :unav
DOI: 10.18419/darus-3680/28
title: params_prod_noswim_2.pick

description: :unav
DOI: 10.18419/darus-3680/29
title: geometries.py

description: :unav
DOI: 10.18419/darus-3680/30
title: sim_growth.py

description: :unav
DOI: 10.18419/darus-3680/31
title: res_prod_1s_0.pick

description: :unav
DOI: 10.18419/darus-3680/32
title: sim_tensile_strength.py

description: :unav
DOI: 10.18419/darus-3680/33
title: params_prod_noswim_0.pick

description: :unav
DOI: 10.18419/darus-3680/34
title: biofilm_growth_in_shear_showcase.py

description: :unav
DOI: 10.18419/darus-3680/35
title: res_prod_noswim_0.pick

description: :unav
DOI: 10.18419/darus-3680/36
title: __init__.py

description: :unav
DOI: 10.18419/darus-3680/37
title: make_paper_figs_growth.py

description: :unav
DOI: 10.18419/darus-3680/38
title: analyse_attachment.py

description: :unav
DOI: 10.18419/darus-3680/39
title: Makefile

description: :unav
DOI: 10.18419/darus-3680/40
title: index.rst

description: :unav
DOI: 10.18419/darus-3680/41
title: growing_chain_test.py

description: :unav
DOI: 10.18419/darus-3680/42
title: res_prod_swim_3.pick

description: :unav
DOI: 10.18419/darus-3680/43
title: res_prod_noswim_1.pick

description: :unav
DOI: 10.18419/darus-3680/44
title: params_prod_1s_0.pick

description: :unav
DOI: 10.18419/darus-3680/45
title: sim_division_showcase.py

description: :unav
DOI: 10.18419/darus-3680/46
title: cluster_utils.py

description: :unav
DOI: 10.18419/darus-3680/47
title: res_prod_noswim_3.pick

description: :unav
DOI: 10.18419/darus-3680/48
title: params_prod_noswim_3.pick

description: :unav
DOI: 10.18419/darus-3680/49
title: res_prod_swim_0.pick

description: :unav
DOI: 10.18419/darus-3680/50
title: params_prod_swim_2.pick

description: :unav
DOI: 10.18419/darus-3680/51
title: swimming_rotation_test.py

description: :unav
DOI: 10.18419/darus-3680/52
title: results_epsilon_var.pick

description: :unav
DOI: 10.18419/darus-3680/53
title: res_prod_noswim_2.pick

description: :unav
DOI: 10.18419/darus-3680/54
title: params_prod_noswim_1.pick

description: :unav
DOI: 10.18419/darus-3680/55
title: parameters_growth.py

description: :unav
DOI: 10.18419/darus-3680/56
title: res_prod_swim_2.pick

description: :unav
DOI: 10.18419/darus-3680/57
title: wall_stick_test.py

description: :unav
DOI: 10.18419/darus-3680/58
title: swimmer.py

description: :unav
DOI: 10.18419/darus-3680/59
title: sim_attachment.py

description: :unav
DOI: 10.18419/darus-3680/60
title: geometries_test.py

description: :unav
DOI: 10.18419/darus-3680/61
title: utils.py

description: :unav
DOI: 10.18419/darus-3680/62
title: utils_test.py

description: :unav
DOI: 10.18419/darus-3680/63
title: setup.py

description: :unav
DOI: 10.18419/darus-3680/64
title: collected_results.xlsx

description: :unav
DOI: 10.18419/darus-3680/65
title: flow_constraint_test.py

description: :unav
DOI: 10.18419/darus-3680/66
title: biofilm_condor_entry.py

description: :unav
DOI: 10.18419/darus-3680/67
title: analysis_common.py

description: :unav
DOI: 10.18419/darus-3680/68
title: parameters.py

description: :unav
DOI: 10.18419/darus-3680/69
title: params_prod_10s_0.pick

description: :unav
DOI: 10.18419/darus-3680/70
title: trajectories.zip

description: :unav
DOI: 10.18419/darus-3680
title: Replication Data for: Lohrmann, Holm: A novel model for biofilm initiation in porous media flow

description: Code and Data for "A novel model for biofilm initiation in porous media flow". For details, see README.md
DOI: 10.18419/darus-3680/71
title: README.md

description: :unav
DOI: 10.5281/zenodo.8118244
title: Quality Assurance Awareness in Open Source Software Projects on GitHub Analysis Dataset

description: Dataset for the paper "Quality Assurance Awareness in Open Source Software Projects on GitHub", submitted to the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 2023.
DOI: 10.5281/zenodo.8139381
title: Quality Assurance Awareness in Open Source Software Projects on GitHub Analysis Dataset

description: Dataset for the paper "Quality Assurance Awareness in Open Source Software Projects on GitHub", submitted to the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 2023.
DOI: 10.5517/ccdc.csd.cc2fjgzf
title: CCDC 2250165: Experimental Crystal Structure Determination

description: Related Article: Enxue Shi, Xiaojing Bi, Junhua Xiao, Yu-Long Zhang, huichuang Guo, Qian Wu|2023|CSD Communication|||
description: Related Article: Yulong Zhang, Huichuang Guo, Qian Wu, Xiaojing Bi, Enxue Shi, Junhua Xiao|2023|RSC Advances|13|13511|doi:10.1039/D3RA02430J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fp3z7
title: CCDC 2254629: Experimental Crystal Structure Determination

description: Related Article: Abdolali Alizadeh, Azar Rostampoor|2023|Org.Biomol.Chem.|21|6160|doi:10.1039/D3OB00632H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpq95
title: CCDC 2255197: Experimental Crystal Structure Determination

description: Related Article: Mohmad Muzafar Wani, Auqib Rashid, Bilal A. Bhat|2023|Org.Biomol.Chem.|21|6151|doi:10.1039/D3OB00918A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fsy17
title: CCDC 2258289: Experimental Crystal Structure Determination

description: Related Article: Fei Zeng, Lin-Li Tang, Man-Hua Ding|2023|New J.Chem.|47|14118|doi:10.1039/D3NJ02483K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fsy28
title: CCDC 2258290: Experimental Crystal Structure Determination

description: Related Article: Fei Zeng, Lin-Li Tang, Man-Hua Ding|2023|New J.Chem.|47|14118|doi:10.1039/D3NJ02483K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8246447
title: Molecular dynamics dataset of apo TMPRSS2

description: This dataset contains all-atom molecular dynamics trajectories of TMPRSS2 (apo). The data was generated with openMM 7.4.0 with the CHARMM36 force field in the NPT ensemble at 310 K. Details about the molecular dynamics setup are given in Hempel, T.; Raich, L.; Olsson, S.; Azouz, N. P.; Klingler, A. M.; Hoffmann, M.; Pöhlmann, S.; Rothenberg, M. E.; Noé, F. Molecular Mechanism of Inhibiting the SARS-CoV-2 Cell Entry Facilitator TMPRSS2 with Camostat and Nafamostat. <em>Chem. Sci.</em> <strong>2021</strong>, 10.1039.D0SC05064D. https://doi.org/10.1039/D0SC05064D. The data was downsampled to a timestep of 1 ns and consists of three parts: <strong>1TMP_crystal7MEQpruned: </strong>Seeded from crystal structure PBD-ID 7MEQ, only catalytic chain. 80 µs cumulative simulation time. <strong>1TMP_crystal7MEQ: </strong>Seeded from crystal structure PBD-ID 7MEQ. Both chains. 77 µs cumulative simulation time. <strong>1TMP_homology3W94: </strong>Seeded from a homology model [S. Rensi et al., 2020, chemRxiv, DOI: 10.26434/ chemrxiv.12009582.]. 534 µs cumulative simulation time.
DOI: 10.5281/zenodo.8246448
title: Molecular dynamics dataset of apo TMPRSS2

description: This dataset contains all-atom molecular dynamics trajectories of TMPRSS2 (apo). The data was generated with openMM 7.4.0 with the CHARMM36 force field in the NPT ensemble at 310 K. Details about the molecular dynamics setup are given in Hempel, T.; Raich, L.; Olsson, S.; Azouz, N. P.; Klingler, A. M.; Hoffmann, M.; Pöhlmann, S.; Rothenberg, M. E.; Noé, F. Molecular Mechanism of Inhibiting the SARS-CoV-2 Cell Entry Facilitator TMPRSS2 with Camostat and Nafamostat. <em>Chem. Sci.</em> <strong>2021</strong>, 10.1039.D0SC05064D. https://doi.org/10.1039/D0SC05064D. The data was downsampled to a timestep of 1 ns and consists of three parts: <strong>1TMP_crystal7MEQpruned: </strong>Seeded from crystal structure PBD-ID 7MEQ, only catalytic chain. 80 µs cumulative simulation time. <strong>1TMP_crystal7MEQ: </strong>Seeded from crystal structure PBD-ID 7MEQ. Both chains. 77 µs cumulative simulation time. <strong>1TMP_homology3W94: </strong>Seeded from a homology model [S. Rensi et al., 2020, chemRxiv, DOI: 10.26434/ chemrxiv.12009582.]. 534 µs cumulative simulation time.
DOI: 10.26050/wdcc/ar6.c6dacecc1
title: IPCC DDC: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 DAMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CNRM-CERFACS.CNRM-CM6-1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-CM6-1 climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.5519/qd.7ot9vzl2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (34 records)
DOI: 10.5519/qd.q5r8nz3p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.26050/wdcc/ar6.c6dacsae
title: IPCC DDC: CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 DAMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CSIRO.ACCESS-ESM1-5' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Australian Community Climate and Earth System Simulator Earth System Model Version 1.5 climate model, released in 2019, includes the following components: aerosol: CLASSIC (v1.0), atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m), land: CABLE2.4, ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: WOMBAT (same grid as ocean), seaIce: CICE4.1 (same grid as ocean). The model was run by the Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia (CSIRO) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6dacsaes2co
title: IPCC DDC: CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 DAMIP ssp245-covid

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CSIRO.ACCESS-ESM1-5.ssp245-covid' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Australian Community Climate and Earth System Simulator Earth System Model Version 1.5 climate model, released in 2019, includes the following components: aerosol: CLASSIC (v1.0), atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m), land: CABLE2.4, ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: WOMBAT (same grid as ocean), seaIce: CICE4.1 (same grid as ocean). The model was run by the Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia (CSIRO) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5517/ccdc.csd.cc213hd2
title: CCDC 1880193: Experimental Crystal Structure Determination

description: Related Article: Jiecheng Ji, Yizhou Li, Chao Xiao, Guo Cheng, Kui Luo, Qiyong Gong, Dayang Zhou, Jason J. Chruma, Wanhua Wu, Cheng Yang|2020|Chem.Commun.|56|161|doi:10.1039/C9CC08541F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc213hg4
title: CCDC 1880195: Experimental Crystal Structure Determination

description: Related Article: Jiecheng Ji, Yizhou Li, Chao Xiao, Guo Cheng, Kui Luo, Qiyong Gong, Dayang Zhou, Jason J. Chruma, Wanhua Wu, Cheng Yang|2020|Chem.Commun.|56|161|doi:10.1039/C9CC08541F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8249823
title: credit bureau data

description: This dataset contains credit bureau data
DOI: 10.5281/zenodo.8249822
title: credit bureau data

description: This dataset contains credit bureau data
DOI: 10.34740/kaggle/dsv/5057796
title: Turkey 06-02-2023 eartquake Tweets
DOI: 10.25921/jcvz-0s37
title: Water temperature, salinity, and others taken by CTD and Niskin bottles from the fishing vessel Aquila, cruise AQ15-01, in the Bering and Chukchi Seas from 2015-09-13 to 2015-09-24 (NCEI Accession 0281502)

description: This CTD and Niskin bottle data set, consisting of 17 casts, was collected in the Chukchi and Bering Seas from the F/V Aquila (cruise AQ15-01, September 8 - 28, 2015). The cruise was funded by DOI Bureau of Ocean Energy Management (BOEM) through the NOAA National Marine Mammal Laboratory. CTD operations on this cruise were managed by EcoFOCI personnel from NOAA/PMEL. Profile data from CTD instruments were processed at NOAA/PMEL/EcoFOCI using standard techniques. Data from bottle samples include phosphate, silicate, nitrate, nitrite and ammonium. Profile data are averaged to a 1-meter grid, with missing data listed as NaN. Salinity was calculated (PSS-78), from conductivity and temperature (ITS90). Sigma-t was calculated from primary (channel 1) temperature and salinity. Nutrient samples were analyzed according to the methods of Gordon et al, 1993 and Mantoura, Woodward, 1983 (see references in metadata). Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis, and some frozen for later analysis. CTD data contact: Phyllis Stabeno, Peggy Sullivan, Shaun Bell, Calvin Mordy (nutrients).

Cruise was performed for ARCWEST, CHAOZ-X 2015 Projects by BOEM, NOAA NMML, PMEL and EcoFOCI participants. Data are in CSV format. Longitude is in deg_West.
DOI: 10.25381/cput.22647454
title: Factors responsible for constant failure of government assisted poverty alleviation farming projects in the Eastern Cape , South Africa

description: 2021_FBMSREC 098 <br> This data is captured through the surveys that were distributed to the public <br> <br> <br>
DOI: 10.25381/cput.22647454.v1
title: Factors responsible for constant failure of government assisted poverty alleviation farming projects in the Eastern Cape , South Africa

description: 2021_FBMSREC 098 <br> This data is captured through the surveys that were distributed to the public <br> <br> <br>