cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7644625
title: Thermoregulatory behavior varies with altitude and season in the sceloporine Mesquite lizard.

description: In ectothermic vertebrates, body temperature is the factor that most affects physiology and behavior. Most ectotherms show limited physiological control of body temperature, so they use behavioral strategies to regulate and maintain a constant temperature within a range. The variation of environmental temperature due to altitude and seasonality could have a great impact on the regulation of body temperature in lizards, even more so in elevation gradients, in which environmental temperature decreases with elevation. We chose three populations of the lizard Sceloporus grammicus that inhabit along an altitudinal gradient at 2500, 3400, and 4100 m and compared some seasonal (spring, summer, and autumn) thermal traits: 1. Body temperature in the field when the lizards were active<br> 2. The relationship between body, air, and substrate temperatures where they were first observed<br> 3. The temperature that they selected in a thermal gradient in laboratory conditions<br> 4. The precision of thermoregulation, the thermal quality of the environment, the effectiveness of thermoregulation, and the Blouin-Demers index<br> 5. The ambient temperatures available during the period of activity (Operative temperature) Thus, our data suggest that the thermal quality of the environment is low at higher altitudes and in summer, while lizards are capable of modifying their body temperature when they are active in the field and the temperature they select in the laboratory due to the effect of altitude and of the season, according to the requirements they have in each part of the year.
DOI: 10.5281/zenodo.7339171
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.5281/zenodo.7492951
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.5281/zenodo.7339170
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.5281/zenodo.7513735
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.5281/zenodo.7653605
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.6084/m9.figshare.22064540.v1
title: Acoustic Doppler Profiler (ADP) Data Files

description: MATLAB data files from the Acoustic Doppler Profiler (ADP)
DOI: 10.6084/m9.figshare.22121939
title: Experimental Particle Size Distribution

description: Particle size distribution for particle volume captured by gravity-fed siphons at different heights above the bed during laboratory experiments
DOI: 10.6084/m9.figshare.22061258
title: Simulation S6 Data Files

description: MATLAB data files from simulation S6 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22064534.v1
title: Profiling Acoustic Doppler Velocimeter (PADV) Data Files

description: MATLAB data files from the Profiling Acoustic Doppler Velocimeter (PADV)
DOI: 10.6084/m9.figshare.22064540
title: Acoustic Doppler Profiler (ADP) Data Files

description: MATLAB data files from the Acoustic Doppler Profiler (ADP)
DOI: 10.6084/m9.figshare.22121936
title: Experimental Particle Volume Concentration

description: Particle volume concentration at different heights above the bed from particle captured by gravity-fed siphons during laboratory experiments
DOI: 10.6084/m9.figshare.22064534
title: Profiling Acoustic Doppler Velocimeter (PADV) Data Files

description: MATLAB data files from the Profiling Acoustic Doppler Velocimeter (PADV)
DOI: 10.6084/m9.figshare.22061252
title: Simulation S5 Data Files

description: MATLAB data files from simulation S5 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061252.v1
title: Simulation S5 Data Files

description: MATLAB data files from simulation S5 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061210
title: Simulation S2 Data Files

description: MATLAB data files from simulation S2 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061237
title: Simulation S4 Data Files

description: MATLAB data files from simulation S4 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061237.v1
title: Simulation S4 Data Files

description: MATLAB data files from simulation S4 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061204
title: Simulation S1 Data Files

description: MATLAB data files from simulation S1 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061210.v1
title: Simulation S2 Data Files

description: MATLAB data files from simulation S2 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061216
title: Simulation S3 Data Files

description: MATLAB data files from simulation S3 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061204.v1
title: Simulation S1 Data Files

description: MATLAB data files from simulation S1 Labels are measurement distance from the simulated tank inlet
DOI: 10.6084/m9.figshare.22061216.v1
title: Simulation S3 Data Files

description: MATLAB data files from simulation S3 Labels are measurement distance from the simulated tank inlet
DOI: 10.5281/zenodo.7653613
title: "Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape". Study Dataset

description: Study Dataset for the research work: "Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape"
DOI: 10.5281/zenodo.7653612
title: "Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape". Study Dataset

description: Study Dataset for the research work: "Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape"
DOI: 10.5281/zenodo.7513774
title: An Unique Dataset for Christian Sacral Objects Identification

description: Christian religious monuments, such as cathedrals, chapels and temples are found in many places on our planet. World-famous buildings such as the Notre Dame Cathedral in Paris, Gaudi's Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known, and there are many photographs on the Internet that can be used to build machine learning models to identify them. For little known buildings such as small churches in the Czech-German border region, the number of photographs is already significantly lower and similar approaches cannot be used for identification. Based on these facts, our team has compiled an unique dataset for the identification of the most important elements of Christian sacral buildings such as altars, frescoes, pulpits, etc. which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and for identifying objects in sacred objects or the objects themselves. This dataset was created within the framework of the project Information system for medieval monuments in the Czech-Bavarian border area, No. 335, which is co-financed by the European Regional Development Fund and the state budget of the Czech Republic (Cross-border Cooperation Programme Czech Republic - Free State of Bavaria Objective ECA 2014-20).
DOI: 10.5517/ccdc.csd.cc26kdt0
title: CCDC 2042522: Experimental Crystal Structure Determination

description: Related Article: Mingming Cao, Dong Yang, Ajeeth Adhikari, Fei Ye, Chengjian Zheng, Wei Yan, Song Meng, Ping Su, Ben Shen|2023|Org.Lett.|25|961|doi:10.1021/acs.orglett.2c04303
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.cc29zty2
title: CCDC 2144795: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29ztz3
title: CCDC 2144796: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv05
title: CCDC 2144797: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv16
title: CCDC 2144798: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv27
title: CCDC 2144799: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv38
title: CCDC 2144800: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv49
title: CCDC 2144801: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv5b
title: CCDC 2144802: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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.cc29zv6c
title: CCDC 2144803: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, Morgane Sayes, Josiane Perreault-Dufour, Gang Hong, Lucille A. Wells, Marisa C. Kozlowski, André B. Charette|2023|J.Org.Chem.|88|1515|doi:10.1021/acs.joc.2c02535
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: 10.25582/data.2024-04.3088186/2554920
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088187/2554921
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088189/2554922
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088194/2554923
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088195/2554924
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088197/2554925
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088198/2554926
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088199/2554927
title: Data for EMSL Project 51287 from April 2024
DOI: 10.35078/itexhj/ab6gek
title: Virgílio Ferreira D.jpg

description: :unav
DOI: 10.35078/itexhj/n1yhzq
title: Barra do Bebedouro D.jpg

description: :unav
DOI: 10.35078/a0yw3b/sgid6i
title: Ponto Chique G.jpg

description: :unav
DOI: 10.35078/itexhj/zp2npf
title: Quebra Anzol I A.jpg

description: :unav
DOI: 10.35078/a0yw3b/q23vfs
title: Serra Feia E.jpg

description: :unav
DOI: 10.35078/itexhj/io1bhz
title: Morro Agudo A.jpg

description: :unav
DOI: 10.35078/a0yw3b/2ycoyb
title: Monjolos E.jpg

description: :unav
DOI: 10.35078/itexhj/t26boc
title: Santo Antônio Estiva B.jpg

description: :unav
DOI: 10.35078/a0yw3b/wfephi
title: Ribeirão da Mata II B.jpg

description: :unav
DOI: 10.35078/itexhj/cqpsv0
title: Olaria B.jpg

description: :unav
DOI: 10.35078/a0yw3b/9y6egt
title: Potreiro II B.jpg

description: :unav
DOI: 10.35078/itexhj/c4qh8a
title: Santo Antônio Pov. C.jpg

description: :unav
DOI: 10.35078/a0yw3b/7flyqe
title: Ribeirão Barreiro C.jpg

description: :unav
DOI: 10.35078/itexhj/lsnnvp
title: José Vitorino A.jpg

description: :unav
DOI: 10.35078/a0yw3b/kobjh0
title: Palmito I H.jpg

description: :unav
DOI: 10.35078/itexhj/kogbvp
title: Escola Agrícola B.jpg

description: :unav
DOI: 10.35078/a0yw3b/nvh52r
title: Vertente A.jpg

description: :unav
DOI: 10.35078/itexhj/n2djs0
title: Capoeira A.jpg

description: :unav
DOI: 10.35078/itexhj/vczah8
title: Capão da Areia B.jpg

description: :unav
DOI: 10.35078/a0yw3b/d5tyqy
title: Pio Alves B.jpg

description: :unav
DOI: 10.35078/itexhj/8vnm51
title: Vassoura B.jpg

description: :unav
DOI: 10.35078/a0yw3b/8hta8j
title: Tabocas A.jpg

description: :unav
DOI: 10.35078/itexhj/8ekicy
title: Açude E.jpg

description: :unav
DOI: 10.35078/a0yw3b/qpq5r1
title: Nélson L. Silva A.jpg

description: :unav
DOI: 10.35078/itexhj/p2pdw1
title: Santo Antônio Pov. B.jpg

description: :unav
DOI: 10.35078/a0yw3b/fnnbqf
title: Sapecado B.jpg

description: :unav
DOI: 10.35078/itexhj/o0cbjt
title: Mata da Fortaleza A.jpg

description: :unav
DOI: 10.35078/a0yw3b/s80jtf
title: Virgílio Dias dos Santos C.jpg

description: :unav
DOI: 10.35078/itexhj/cpv4oi
title: Garganta B.jpg

description: :unav
DOI: 10.35078/a0yw3b/w2kitn
title: Ponto Chique F.jpg

description: :unav
DOI: 10.35078/itexhj/oascxt
title: Cabeceira do Tijuco F.jpg

description: :unav