cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48758/ufz.12512
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for  DOY060-DOY090, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY060-DOY090 (March 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY060-DOY090.zip
more files available in the same repository
DOI: 10.48758/ufz.12727
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY091-DOY120, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY091-DOY120 (April 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY091-DOY120.zip
more files available in the same repository
DOI: 10.48758/ufz.12787
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY121-DOY151, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY121-DOY151 (May 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

files missing 1.5., 3.5., 7.5., 8.5., 9.5., 18.5., 

file: HD2022_Eddy-Data_DOY121-DOY151.zip
more files available in the same repository
DOI: 10.48758/ufz.12855
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for  DOY152-DOY181, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY152-DOY181 (June 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY152-DOY181.zip
more files available in the same repository
DOI: 10.48758/ufz.12891
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY182-DOY212, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY182-DOY212 (July 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY182-DOY212.zip
more files available in the same repository
DOI: 10.48758/ufz.13004
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY213-DOY243, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY213-DOY243 (August 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY213-DOY243.zip
more files available in the same repository
DOI: 10.48758/ufz.13005
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for  DOY244-DOY273, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY244-DOY273 (September 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY244-DOY273.zip
more files available in the same repository
DOI: 10.48758/ufz.13065
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for  DOY274-DOY304, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY274-DOY304 (October 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

files missing- computer down 23.-24.10

file: HD2022_Eddy-Data_DOY274-DOY304.zip
more files available in the same repository
DOI: 10.5517/cc79vw7
title: CCDC 218019: Experimental Crystal Structure Determination

description: Related Article: M.B.Hursthouse, M.E.Light, I.A.Fallis|2003|CSD Communication|||
description: Related Article: Ian A. Fallis, Mark E. Light, Michael B. Hursthouse|2001|University of Southampton, Crystal Structure Report Archive||726|
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: 10.48758/ufz.13194
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for  DOY305-DOY334, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY305-DOY334 (November 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY305-DOY334.zip
more files available in the same repository
DOI: 10.25505/fiz.icsd.cc2gx8xl
title: CSD 2291300: Experimental Crystal Structure Determination

description: Related Article: Andrew S. Wills, Simon Coles, Michael B. Hursthouse|2005|University of Southampton, Crystal Structure Report Archive||1171|
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.cc2gx95w
title: CSD 2291308: Experimental Crystal Structure Determination

description: Related Article: Andrew S. Wills, Simon J. Coles, Michael B. Hursthouse|2005|University of Southampton, Crystal Structure Report Archive||1221|
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.cc2gx94v
title: CSD 2291307: Experimental Crystal Structure Determination

description: Related Article: Andrew S. Wills, Simon J. Coles, Michael B. Hursthouse|2005|University of Southampton, Crystal Structure Report Archive||1222|
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: 10.48758/ufz.13421
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY335-DOY365, 2022

description: Eddy covariance-Rawdata 2022 Hordorf DOY335-DOY365 (December 2022), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2022_Eddy-Data_DOY335-DOY365.zip
more files available in the same repository
DOI: 10.6073/pasta/c6adc3e855ed0d3f66626e4de3ed0616
title: Experimental soil metabolism responses to oxygen availability and carbon pulses

description: Soil metabolism rates were measured in experimental flow-through reactors (FTRs) in order to assess responses to oxygen availability (i.e., redox conditions) and pulsed inputs of bioavailable carbon. The oxygen and carbon manipulations were meant to simulate patchy conditions in the rhizosphere of Spartina alterniflora marshes. The experiment was conducted over 97 days. During the first 84 days, pulses were applied weekly and metabolic responses were measured 1 and 5 days later. After the final carbon pulse, metabolism responses were followed for another 13 days in order to assess starvation responses. We used soils from Airport marsh on Sapelo Island.
DOI: 10.5281/zenodo.8289768
title: Estimating the rates of adaptive evolution in fungal species using whole-genome sequences - v0.1

description: GitHub script version v0.1
DOI: 10.5281/zenodo.8289767
title: Estimating the rates of adaptive evolution in fungal species using whole-genome sequences - v0.1

description: GitHub script version v0.1
DOI: 10.6084/m9.figshare.24042891
title: Dataset from "In-situ Monitoring of Image Texturing via Random Forests and Clustering with applications to Additive Manufacturing"

description: This is the dataset associated to the following paper: Caltanissetta, F., Bertoli, L., Colosimo, B.M. (2023). <i><b>In-situ Monitoring of Image Texturing via Random Forests and Clustering with applications to Additive Manufacturing</b></i>, IISE TransactionsThe attention toward in-situ monitoring in Additive Manufacturing (AM) has significantly increased over the last years, paving the way to a paradigm shift for quality monitoring and control via big data analysis of signals, images, and videos. In-situ quality monitoring represents an opportunity for waste reduction and first-time-right production via inline detection of process flaws, which allows early identification of scraps and the possibility of correcting actions for first-time-right production. This paper presents a solution for in-situ monitoring of images taken layerwise in material extrusion AM. Compared with the existing solutions, mainly focusing on monitoring the shape deviation observed at each layer with respect to the nominal shape, this paper focuses on monitoring the internal surface texture with the aim of detecting over- and under-extrusion flaws. Inspired by an approach developed by Bui and Apley for textile image monitoring, we propose a solution for in-situ monitoring of textured surfaces which is based on combining Random Forests with clustering to automatically identify defective locations layerwise. A real case study based on Fused Filament Fabrication is used to compare the performance of the novel proposed solution with the original one and identify an appropriate direction for future research.https://www.ic.polimi.it/publications/
DOI: 10.5517/ccdc.csd.cc13pwnb
title: CCDC 1033932: Experimental Crystal Structure Determination

description: Related Article: Samiul Islam, Pratik Dey, Prantika Das, Saikat Kumar Seth|2023|J.Mol.Struct.|1293|136253|doi:10.1016/j.molstruc.2023.136253
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.cc13pwpc
title: CCDC 1033933: Experimental Crystal Structure Determination

description: Related Article: Samiul Islam, Pratik Dey, Prantika Das, Saikat Kumar Seth|2023|J.Mol.Struct.|1293|136253|doi:10.1016/j.molstruc.2023.136253
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.cc1lsm00
title: CCDC 1483412: Experimental Crystal Structure Determination

description: Related Article: Ying Zhang, Chi-Yu Sun, Lin Lin|2023|RSC Advances|13|23396|doi:10.1039/D3RA04150F
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.cc2d5rfs
title: CCDC 2210065: Experimental Crystal Structure Determination

description: Related Article: Retwik Parui, Nehal Zehra, Parameswar Krishnan Iyer|2023|J.Mater.Chem.C|11|11243|doi:10.1039/D3TC01850D
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.cc2f3c75
title: CCDC 2237556: Experimental Crystal Structure Determination

description: Related Article: Neha Taneja, Pragya Sharma, Naveen Yadav, Dulal Musib, Chinmoy Kumar Hazra|2023|Org.Lett.|25|6029|doi:10.1021/acs.orglett.3c02181
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.cc2fgbcm
title: CCDC 2248100: Experimental Crystal Structure Determination

description: Related Article: Pradip Pattanayak, Arnab Nandi, Sourav Kanti Seth, Pradipta Purkayastha|2023|J.Mater.Chem.C|11|11252|doi:10.1039/D3TC01986A
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.cc2fgbdn
title: CCDC 2248101: Experimental Crystal Structure Determination

description: Related Article: Pradip Pattanayak, Arnab Nandi, Sourav Kanti Seth, Pradipta Purkayastha|2023|J.Mater.Chem.C|11|11252|doi:10.1039/D3TC01986A
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: 10.6084/m9.figshare.19382123.v2
title: A case study of developer bots artifacts

description: Artifacts for the paper "A case study of developer bots - Motivations, Perceptions and Challenges"
DOI: 10.6084/m9.figshare.19382123
title: A case study of developer bots artifacts

description: Artifacts for the paper "A case study of developer bots - Motivations, Perceptions and Challenges"
DOI: 10.6084/m9.figshare.19382123.v4
title: A case study of developer bots artifacts

description: Artifacts for the paper "A case study of developer bots - Motivations, Perceptions and Challenges"
DOI: 10.6084/m9.figshare.19382123.v3
title: A case study of developer bots artifacts

description: Artifacts for the paper "A case study of developer bots - Motivations, Perceptions and Challenges"
DOI: 10.5281/zenodo.8289789
title: domOS Aalborg Living Lab: Indoor Climate and District Heating Control Data

description: This dataset has been collected in context of the domOS H2020 project (https://www.domos-project.eu/). The dataset includes data about 147 family homes of which 144 are flats in 12 building blocks and the rest are single family buildings. All buildings are owned by a building association, and are heated via the local district heating company. The buildings have been renovated and are now prepared for low temperature district heating. Within the area, new private homes (mostly blocks and flats) are being built or renovated. The District heating supply to the 12 building blocks is supplied from a local mixing loop separating the district heating transmission from the local distribution. The heating installations in each block can be controlled as well as the mixing loop to the area. Energy and indoor climate data is supplied from selected apartments and from each heating central. The district heating to the 3 single family buildings is not supplied with district heating from the local mixing loop, but from the transmission line directly. In each building, datalogging and control on the heating installation are possible. Furthermore, data from indoor climate sensors as well as sensors on doors and windows is available. The ongoing data collection has been started in several steps. On the three single family houses, data collection started in February 2020. For the apartment buildings data collection began in June 2021 and for the central mixing loop it began in march 2022.
DOI: 10.5281/zenodo.8289790
title: domOS Aalborg Living Lab: Indoor Climate and District Heating Control Data

description: This dataset has been collected in context of the domOS H2020 project (https://www.domos-project.eu/). The dataset includes data about 147 family homes of which 144 are flats in 12 building blocks and the rest are single family buildings. All buildings are owned by a building association, and are heated via the local district heating company. The buildings have been renovated and are now prepared for low temperature district heating. Within the area, new private homes (mostly blocks and flats) are being built or renovated. The District heating supply to the 12 building blocks is supplied from a local mixing loop separating the district heating transmission from the local distribution. The heating installations in each block can be controlled as well as the mixing loop to the area. Energy and indoor climate data is supplied from selected apartments and from each heating central. The district heating to the 3 single family buildings is not supplied with district heating from the local mixing loop, but from the transmission line directly. In each building, datalogging and control on the heating installation are possible. Furthermore, data from indoor climate sensors as well as sensors on doors and windows is available. The ongoing data collection has been started in several steps. On the three single family houses, data collection started in February 2020. For the apartment buildings data collection began in June 2021 and for the central mixing loop it began in march 2022.
DOI: 10.6084/m9.figshare.23540865.v3
title: Improving below-cloud scavenging coefficients of sulfate, nitrate and ammonium and implications for numerical simulation and air pollution control

description: Data supproting the figures in <em>Improving below-cloud scavenging coefficients of sulfate, nitrate and ammonium and implications for numerical simulation and air pollution control.</em> <br> The EMEP code was revised by Massimo Vieno and Eiko Nemitz, and computing resources were provided by UKCEH.
DOI: 10.6084/m9.figshare.24042927
title: The GlcNAc content in the supernatants of Clostridium sp., P. sartorii, and A. muciniphila was determined by UHPLC–MRM-MS

description: Clostridium sp., P. sartorii, and A. muciniphila were cultured anaerobically for 48 hours with 3 replicates per group. The bacterial solution was then centrifuged at 4000 rpm for 5 minutes, and the supernatants were collected. These supernatants were passed through a 0.22um filter membrane. The GlcNAc content in the samples was determined by UHPLC–MRM-MS
DOI: 10.6084/m9.figshare.24042927.v1
title: The GlcNAc content in the supernatants of Clostridium sp., P. sartorii, and A. muciniphila was determined by UHPLC–MRM-MS

description: Clostridium sp., P. sartorii, and A. muciniphila were cultured anaerobically for 48 hours with 3 replicates per group. The bacterial solution was then centrifuged at 4000 rpm for 5 minutes, and the supernatants were collected. These supernatants were passed through a 0.22um filter membrane. The GlcNAc content in the samples was determined by UHPLC–MRM-MS
DOI: 10.6084/m9.figshare.24042966
title: Changes of intestinal flora in cholestatic liver disease and the changes after JTE-013 intervention

description: We investigated the microflora changes in cholestatic liver disease and the changes in intestinal microflora induced by S1PR2 inhibitors. We used CBDL model to explore the changes of microflora, and divided the rats into 3 groups, sham group, CBDL group and JTE-013 group to explore the changes of microflora in the three groups.
DOI: 10.6084/m9.figshare.24042966.v1
title: Changes of intestinal flora in cholestatic liver disease and the changes after JTE-013 intervention

description: We investigated the microflora changes in cholestatic liver disease and the changes in intestinal microflora induced by S1PR2 inhibitors. We used CBDL model to explore the changes of microflora, and divided the rats into 3 groups, sham group, CBDL group and JTE-013 group to explore the changes of microflora in the three groups.
DOI: 10.6084/m9.figshare.16578017
title: Psychedelics promote plasticity by directly binding to BDNF receptor TRKB

description: Experimental data.
DOI: 10.6084/m9.figshare.16578017.v1
title: Psychedelics promote plasticity by directly binding to BDNF receptor TRKB

description: Experimental data.
DOI: 10.6084/m9.figshare.24042981
title: FTO-database.xlsx

description: three SNPs of FTO gene
DOI: 10.6084/m9.figshare.24043068
title: 21-05-08 Calculation of roughness ratio.xlsx

description: Data set used to calculate rugosity of four taxa of melanopsids from the Levant. These were calculated to inform hydrodynamic analysis of these shells and were not intended to be used for taxonomic purpose.
DOI: 10.6084/m9.figshare.24043068.v1
title: 21-05-08 Calculation of roughness ratio.xlsx

description: Data set used to calculate rugosity of four taxa of melanopsids from the Levant. These were calculated to inform hydrodynamic analysis of these shells and were not intended to be used for taxonomic purpose.
DOI: 10.6084/m9.figshare.24043101
title: Untitled Item Calibration of magnets to obtain equation for force on rod displacement

description: Force was measured by placing the larger magnet underwater on a sensitive top pan balance and suspending the rod assembly above it. In millimetre increments, the assembly was pushed down to close the distance between the magnets and the resulting force was noted for each millimetre of deflection.
DOI: 10.6084/m9.figshare.24043101.v1
title: Untitled Item Calibration of magnets to obtain equation for force on rod displacement

description: Force was measured by placing the larger magnet underwater on a sensitive top pan balance and suspending the rod assembly above it. In millimetre increments, the assembly was pushed down to close the distance between the magnets and the resulting force was noted for each millimetre of deflection.
DOI: 10.6084/m9.figshare.21776258.v2
title: A Pan-Cancer Analysis of the Role of small ArfGAP 1 in Human Tumors

description: This table shows the raw data in the study.<br>Supplementary Table 1: The expression data of SMAP1 gene in 34 tumors.Supplementary Table 2: Pan-cancer data and analysis results of the relationship between SMAP1 gene expression and prognosis.Supplementary Table 3: The SMAP1 clinical phenotype expression data in 37 cancer species.Supplementary Table 4-7: The results of correlation analysis between SMAP1 expression and clinical phenotype in various cancers.Supplementary Table 8: The expression data of SMAP1 genomic heterogeneity.Supplementary Table 9: The expression data of SMAP1 tumor stemness.Supplementary Table 10: Pan-cancer data and analysis results of the relationship between SMAP1 gene expression and tumor microenvironment.SMAP1,IHC DATA, LIHC, COAD, PAAD（Immunohistochemistry (IHC) analysis was performed to detect the expression of SMAP1 in three types of tumors: hepatocellular carcinoma (LIHC), colon adenocarcinoma (COAD), and pancreatic adenocarcinoma (PAAD)）