cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10404301
title: Initial experiments with Uroprint tensile tester V1-1

description: Data for tensile tests on PLMA samples  as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.
DOI: 10.5517/ccdc.csd.cc2c7lv2
title: CSD 2182054: Experimental Crystal Structure Determination

description: Related Article: Tatyana B. Bekker, Alexey A. Ryadun, Alexey V. Davydov, Sergey V. Rashchenko|2023|Dalton Trans.|52|8402|doi:10.1039/D3DT01279D
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c7ws9
title: CSD 2182331: Experimental Crystal Structure Determination

description: Related Article: Alexandra Morscher, Benjamin B. Duff, Guopeng Han, Luke M. Daniels, Yun Dang, Marco Zanella, Manel Sonni, Ahmad Malik, Matthew S. Dyer, Ruiyong Chen, Frédéric Blanc, John B. Claridge, Matthew J. Rosseinsky|2022|J.Am.Chem.Soc.|144|22178|doi:10.1021/jacs.2c09863
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c7x3n
title: CSD 2182341: Experimental Crystal Structure Determination

description: Related Article: Galina M. Kuz'micheva, Liudmila I. Ivleva, Irina A. Kaurova, Vladimir A. Lazarenko, Evgeny V. Khramov|2023|J.Solid State Chem.|318|123776|doi:10.1016/j.jssc.2022.123776
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c811r
title: CSD 2182463: Experimental Crystal Structure Determination

description: Related Article: Galina M. Kuz'micheva, Liudmila I. Ivleva, Irina A. Kaurova, Vladimir A. Lazarenko, Evgeny V. Khramov|2023|J.Solid State Chem.|318|123776|doi:10.1016/j.jssc.2022.123776
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c7xp7
title: CSD 2182359: Experimental Crystal Structure Determination

description: Related Article: Bogdan Kotur, Volodymyr Babizhetskyy, Volodymyr Smetana, Chong Zheng, Anja-Verena Mudring|2022|J.Solid State Chem.|316|123586|doi:10.1016/j.jssc.2022.123586
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10404253
title: Data to accompany "Riparian buffer zones in production forests create unequal costs among forest owners" in European Journal of Forest Research

description: This is the data and analysis code to accompany the article "Riparian buffer zones in production forests create unequal costs among forest owners" in European Journal of Forest Research.

 

The repository includes the following files:



"stand_map_buffers.shp" and shapefile associated files. This is the geographical information for the forest map that was analyzed in Heureka.

"stand_register_buffers.csv". This is the forest data that is needed to initialize Heureka.

"stand_map_buf_real_prop.csv". This is the list of properties that each stand belongs to in the cadastral map of properties of Hässleholm.

"alldata_nobuffers_1p_clim.csv", "alldata_buffers_1p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 1% discount rate

"alldata_nobuffers_2p_clim.csv", "alldata_buffers_2p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 2% discount rate 

"alldata_nobuffers_3p_clim.csv", "alldata_buffers_3p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 3% discount rate

 "code_for_publication.r". This is the R-code that was used for analysis and visualization after the heureka simulations.

"hassleholm_buffers.zip" includes all Heureka PlanWise project files needed to run the simulations. 

"Max NPV with even Flow.hops" is the optimization model used in Heureka to select the management program for each forest stand.
DOI: 10.5281/zenodo.10404252
title: Data to accompany "Riparian buffer zones in production forests create unequal costs among forest owners" in European Journal of Forest Research

description: This is the data and analysis code to accompany the article "Riparian buffer zones in production forests create unequal costs among forest owners" in European Journal of Forest Research.

 

The repository includes the following files:



"stand_map_buffers.shp" and shapefile associated files. This is the geographical information for the forest map that was analyzed in Heureka.

"stand_register_buffers.csv". This is the forest data that is needed to initialize Heureka.

"stand_map_buf_real_prop.csv". This is the list of properties that each stand belongs to in the cadastral map of properties of Hässleholm.

"alldata_nobuffers_1p_clim.csv", "alldata_buffers_1p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 1% discount rate

"alldata_nobuffers_2p_clim.csv", "alldata_buffers_2p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 2% discount rate 

"alldata_nobuffers_3p_clim.csv", "alldata_buffers_3p_clim.csv", These are the Heureka results for the simulations with and without buffers with a 3% discount rate

 "code_for_publication.r". This is the R-code that was used for analysis and visualization after the heureka simulations.

"hassleholm_buffers.zip" includes all Heureka PlanWise project files needed to run the simulations. 

"Max NPV with even Flow.hops" is the optimization model used in Heureka to select the management program for each forest stand.
DOI: 10.6084/m9.figshare.24863007
title: Structural Variations

description: The structural variations of 28 tetraploid cotton species genomes were identified by whole genome comparative, and the 3-79 as the reference genome.
DOI: 10.5281/zenodo.10404319
title: Initial experiments with Uroprint tensile tester V1-2

description: Data for tensile tests on soft PDMS samples  as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.
DOI: 10.5281/zenodo.10404318
title: Initial experiments with Uroprint tensile tester V1-2

description: Data for tensile tests on soft PDMS samples  as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.
DOI: 10.34740/kaggle/dsv/7236397
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.10254246
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10202602
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10202603
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10216833
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10254252
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10404335
title: Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

description: The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.
During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.
DOI: 10.5281/zenodo.10404362
title: Initial experiments with Uroprint tensile tester V1-2b

description: Data for tensile tests on soft PDMS samples  as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.
DOI: 10.5281/zenodo.10404363
title: Initial experiments with Uroprint tensile tester V1-2b

description: Data for tensile tests on soft PDMS samples  as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.