cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bn2jm
title: CCDC 2164250: Experimental Crystal Structure Determination

description: Related Article: Si-Guo Wu, Long-Fei Wang, Ze-Yu Ruan, Shan-Nan Du, Silvia Gómez-Coca, Zhao-Ping Ni, Eliseo Ruiz, Xiao-Ming Chen, Ming-Liang Tong|2022|J.Am.Chem.Soc.|144|14888|doi:10.1021/jacs.2c06313
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.cc2bn2lp
title: CCDC 2164252: Experimental Crystal Structure Determination

description: Related Article: Si-Guo Wu, Long-Fei Wang, Ze-Yu Ruan, Shan-Nan Du, Silvia Gómez-Coca, Zhao-Ping Ni, Eliseo Ruiz, Xiao-Ming Chen, Ming-Liang Tong|2022|J.Am.Chem.Soc.|144|14888|doi:10.1021/jacs.2c06313
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.6521702
title: Annotationsdaten des Beispielprojekts XY

description: Das ist ein Beispielupload einer Containerdatei.
DOI: 10.5281/zenodo.6521854
title: Annotationsdaten des Beispielprojekts XY

description: Das ist ein Beispielupload einer Containerdatei.
DOI: 10.22024/unikent/01.01.480
title: Dataset used in the paper "Stated preferences for the colours, smells and sounds of biodiversity outweigh those for ecological function. " - an output of the RELATE Project.

description: This dataset contains the raw survey data, the additional external spatial data, and the analysis files to fully replicate the analysis in the paper "Stated preferences for the colours, smells and sounds of biodiversity outweigh those for ecological function. ", an output from Work Package Five of the ERC-funded RELATE Project.
DOI: 10.6084/m9.figshare.23578899
title: audppe

description: Cartesian coordinates and NBOs
DOI: 10.6084/m9.figshare.23578899.v1
title: audppe

description: Cartesian coordinates and NBOs
DOI: 10.6084/m9.figshare.23578734
title: mof.xlsx

description: It is NMR data for CD-MOF
DOI: 10.5281/zenodo.4250494
title: Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. Dataset

description: Dataset analysed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. <em>Sustainability</em> <strong>2021</strong>, <em>13</em>, 5547. https://doi.org/10.3390/su13105547 Date of data collection: 31/05/2018 Geographic location of data collection: Amsterdam, The Netherlands. The venue of the data collection is Pakhuis de Zwijger, Piet Heinkade 179, 1019 HC, Amsterdam, The Netherlands Activity of data collection: Historic Urban Landscape workshop 1 - Amsterdam. Held in Amsterdam, the Nethelands, on 30-31/05/2018 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions Methods for collection/generation of data: see the methodology section and supporting information of Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. <em>Sustainability</em> <strong>2021</strong>, <em>13</em>, 5547. https://doi.org/10.3390/su13105547 Researchers facilitating roundtable discussion and writing down paper version of data: Gamze Dane, Antonia Gravagnuolo, Paloma Guzman Molina, Ana Pereira Roders, Nadia Pintossi, and Julia Rey-Perez Original language of the data: English
description: {"references": ["Pintossi, N., Ikiz Kaya, D. , & Pereira Roders, A. (2020). Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. XXX. DoiXXX"]}
DOI: 10.5281/zenodo.4250495
title: Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. Dataset

description: Dataset analysed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. <em>Sustainability</em> <strong>2021</strong>, <em>13</em>, 5547. https://doi.org/10.3390/su13105547 Date of data collection: 31/05/2018 Geographic location of data collection: Amsterdam, The Netherlands. The venue of the data collection is Pakhuis de Zwijger, Piet Heinkade 179, 1019 HC, Amsterdam, The Netherlands Activity of data collection: Historic Urban Landscape workshop 1 - Amsterdam. Held in Amsterdam, the Nethelands, on 30-31/05/2018 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions Methods for collection/generation of data: see the methodology section and supporting information of Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. <em>Sustainability</em> <strong>2021</strong>, <em>13</em>, 5547. https://doi.org/10.3390/su13105547 Researchers facilitating roundtable discussion and writing down paper version of data: Gamze Dane, Antonia Gravagnuolo, Paloma Guzman Molina, Ana Pereira Roders, Nadia Pintossi, and Julia Rey-Perez Original language of the data: English
description: {"references": ["Pintossi, N., Ikiz Kaya, D. , & Pereira Roders, A. (2020). Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. XXX. DoiXXX"]}
DOI: 10.5281/zenodo.4518742
title: Assessing cultural heritage adaptive reuse practices: multi-scale challenges and solutions in Rijeka. Dataset

description: Dataset analyzed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603 Date of data collection: 28/03/2019 Geographic location of data collection: Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia. Activity of data collection: Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges. Methods for collection/generation of data: See the methodology section in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603. Researchers facilitating roundtable discussion and writing down paper version of data: Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi. Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data: Nadia Pintossi. Language of the data: English. Original language of the data: English and Italian (refer to Original language.csv).
DOI: 10.5281/zenodo.4518743
title: Assessing cultural heritage adaptive reuse practices: multi-scale challenges and solutions in Rijeka. Dataset

description: Dataset analyzed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603 Date of data collection: 28/03/2019 Geographic location of data collection: Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia. Activity of data collection: Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges. Methods for collection/generation of data: See the methodology section in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603. Researchers facilitating roundtable discussion and writing down paper version of data: Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi. Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data: Nadia Pintossi. Language of the data: English. Original language of the data: English and Italian (refer to Original language.csv).
DOI: 10.6084/m9.figshare.23578731
title: lamof.xlsx

description: It is the NMR data for LA@CD-MOF
DOI: 10.6084/m9.figshare.23578728
title: la.xlsx

description: It is the NMR data for LA
DOI: 10.6084/m9.figshare.23578728.v1
title: la.xlsx

description: It is the NMR data for LA
DOI: 10.25392/leicester.data.23563056.v1
title: Simulated Dataset (#986) from Scenario 2 of simulation study included in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets".

description: Simulated Dataset (#986) from Scenario 2 of simulation study included in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets" by Wells et al (submitted to Cancer Epidemiology). This dataset should be used along with a Simulated Dataset Population Mortality File and analysed in Do-file (referenced).
DOI: 10.6084/m9.figshare.23523249
title: Zafirovo Lake, Kollarovo channel_Data.xlsx

description: Data composed from morphometric characters for distance-based measurements taken from <em>Pseudorasbora parva</em> population: head length (11–8); preorbital distance (11–13); eye diameter (13–12); postorbital distance (12–8); head depth (15–2); predorsal distance (11–18); prepelvic distance (11–3); preanal distance (11–4); pectoral fin–pelvic fin (P-V) distance (6–3); pelvic fin–anal fin (V-A) distance (3–4); body depth (18 perpendicular); dorsal fin (anterior end)–anal fin distance (Da-A) (18–4); dorsal fin (posterior end)–anal fin distance (Dp-A) (17–4); postdorsal distance (17–10); postanal distance (7–10); caudal (C) peduncle length (dorsal) (17–14); caudal peduncle length (ventral) (7–5); caudal peduncle depth (14–5); dorsal fin (D) base length (18–17); anal fin (A) base fin length (4–7); pectoral fin (P) length (6–20); pelvic (V) fin length (3–21); caudal upper lobe length (10–16); caudal fork length (10–9); caudal lower lobe length (10–1); dorsal fin length (18–19); anal fin length (4–22); gape (11–23).
DOI: 10.6084/m9.figshare.23523249.v1
title: Zafirovo Lake, Kollarovo channel_Data.xlsx

description: Data composed from morphometric characters for distance-based measurements taken from <em>Pseudorasbora parva</em> population: head length (11–8); preorbital distance (11–13); eye diameter (13–12); postorbital distance (12–8); head depth (15–2); predorsal distance (11–18); prepelvic distance (11–3); preanal distance (11–4); pectoral fin–pelvic fin (P-V) distance (6–3); pelvic fin–anal fin (V-A) distance (3–4); body depth (18 perpendicular); dorsal fin (anterior end)–anal fin distance (Da-A) (18–4); dorsal fin (posterior end)–anal fin distance (Dp-A) (17–4); postdorsal distance (17–10); postanal distance (7–10); caudal (C) peduncle length (dorsal) (17–14); caudal peduncle length (ventral) (7–5); caudal peduncle depth (14–5); dorsal fin (D) base length (18–17); anal fin (A) base fin length (4–7); pectoral fin (P) length (6–20); pelvic (V) fin length (3–21); caudal upper lobe length (10–16); caudal fork length (10–9); caudal lower lobe length (10–1); dorsal fin length (18–19); anal fin length (4–22); gape (11–23).
DOI: 10.6084/m9.figshare.23576574
title: vab_comarques.csv

description: VAB total i relatiu de les comarques catalanes el 2020.
DOI: 10.6084/m9.figshare.23576574.v1
title: vab_comarques.csv

description: VAB total i relatiu de les comarques catalanes el 2020.
DOI: 10.6084/m9.figshare.23576571
title: renda.csv

description: Renda per càpita i altres indicadors de municipis, districtes i seccions censals de l'estat espanyol
DOI: 10.6084/m9.figshare.23576571.v1
title: renda.csv

description: Renda per càpita i altres indicadors de municipis, districtes i seccions censals de l'estat espanyol
DOI: 10.5281/zenodo.7753133
title: Unconventional superconductivity in twisted bilayer WSe2: single band t-J-U model

description: Dataset of results related with the theoretical analysis of unconventional superconducting state within the t-J-U model as applied to the description of the twisted bilayer WSe2. The code in c++ which was used to produce the data is also provided. This data set is a result of research which was founded by National Science Centre, Poland (NCN) according to decision 2021/42/E/ST3/00128.
DOI: 10.5281/zenodo.7753134
title: Unconventional superconductivity in twisted bilayer WSe2: single band t-J-U model

description: Dataset of results related with the theoretical analysis of unconventional superconducting state within the t-J-U model as applied to the description of the twisted bilayer WSe2. The code in c++ which was used to produce the data is also provided. This data set is a result of research which was founded by National Science Centre, Poland (NCN) according to decision 2021/42/E/ST3/00128.
DOI: 10.5281/zenodo.8081872
title: Unconventional superconductivity in twisted bilayer WSe2: single band t-J-U model

description: Dataset of results related with the theoretical analysis of unconventional superconducting state within the t-J-U model as applied to the description of the twisted bilayer WSe2. The code in c++ which was used to produce the data is also provided. This data set is a result of research which was founded by National Science Centre, Poland (NCN) according to decision 2021/42/E/ST3/00128.
DOI: 10.6084/m9.figshare.23576568
title: poblacio_municipis.csv

description: Població municipis de Catalunya
DOI: 10.6084/m9.figshare.23576568.v1
title: poblacio_municipis.csv

description: Població municipis de Catalunya
DOI: 10.6084/m9.figshare.23544609
title: Data for: Effects of past and present microclimates on northern and southern plant species in a managed forest landscape

description: Compiled dataset of presence-absence, abundance, reproduction for four boreal understory plant species: <em>Barbilophozia lycopodioides, Hypnum cupressiforme, Calamagrostis arundinacea, Linnaea borealis</em>. 53 managed forest stands were inventoried in 2018-2019 in Central Sweden. <br> ## Description of the Data and file structure <br> Site: Site number PA: Presence-absence abundance: Abundance in dm2 flowPA: Presence-absence of flowering individuals at site level species: Species names of the four study species. currentGDD: Growing Degree Days calculated from temperature loggers at the site measuring from ca. July 2018 to ca. July 2019. Growing Degree Days were calculated for the growing season (continued period with minimum 5 degrees in mean daily temperature) as the sum of mean daily temperatures above 5 degrees. currentSnowmelt: Snowmelt date calculated from temperature loggers at the site. Last snowmelt date of the spring was calculated as the first day of spring 2019 after the last period of three consecutive days of maximum daily temperatures varying less than 0.5 °C, and with maximum daily temperatures below 3 °C. pastgdd: Estimated past GDD values for the site. The model was calibrated from data in Greiser et al. 2018, and used to predict past GDD values for the sites. canopy_gap: Percentage of open canopy per site as estimates of light levels. <br>
DOI: 10.6084/m9.figshare.23544609.v2
title: Data for: Effects of past and present microclimates on northern and southern plant species in a managed forest landscape

description: Compiled dataset of presence-absence, abundance, reproduction for four boreal understory plant species: <em>Barbilophozia lycopodioides, Hypnum cupressiforme, Calamagrostis arundinacea, Linnaea borealis</em>. 53 managed forest stands were inventoried in 2018-2019 in Central Sweden. <br> ## Description of the Data and file structure <br> Site: Site number PA: Presence-absence abundance: Abundance in dm2 flowPA: Presence-absence of flowering individuals at site level species: Species names of the four study species. currentGDD: Growing Degree Days calculated from temperature loggers at the site measuring from ca. July 2018 to ca. July 2019. Growing Degree Days were calculated for the growing season (continued period with minimum 5 degrees in mean daily temperature) as the sum of mean daily temperatures above 5 degrees. currentSnowmelt: Snowmelt date calculated from temperature loggers at the site. Last snowmelt date of the spring was calculated as the first day of spring 2019 after the last period of three consecutive days of maximum daily temperatures varying less than 0.5 °C, and with maximum daily temperatures below 3 °C. pastgdd: Estimated past GDD values for the site. The model was calibrated from data in Greiser et al. 2018, and used to predict past GDD values for the sites. canopy_gap: Percentage of open canopy per site as estimates of light levels. <br>
DOI: 10.6084/m9.figshare.23544609.v1
title: Data for: Effects of past and present microclimates on northern and southern plant species in a managed forest landscape

description: Compiled dataset of presence-absence, abundance, reproduction for four understory plant species: <em>Barbilophozia lycopodioides, Hypnum cupressiforme, Calamagrostis arundinacea, Linnaea borealis</em>. Explanatory variables used in the analyses are given in units of standard deviations. 53 managed forest stands were inventoried in 2018-2019 in Central Sweden. <br> ## Description of the Data and file structure <br> Site: Site number PA: Presence-absence abundance: Abundance in dm2 flowPA: Presence-absence of flowering individuals at site level currentGDD: Growing Degree Days calculated from temperature loggers at the site measuring from ca. July 2018 to ca. July 2019. Growing Degree Days were calculated for the growing season (continued period with minimum 5 degrees in mean daily temperature) as the sum of mean daily temperatures above 5 degrees. currentSnowmelt: Snowmelt date calculated from temperature loggers at the site. Last snowmelt date of the spring was calculated as the first day of spring 2019 after the last period of three consecutive days of maximum daily temperatures varying less than 0.5 °C, and with maximum daily temperatures below 3 °C. pastGDD: Estimated past GDD values for the site. The model was calibrated from data in Greiser et al. 2018, and used to predict past GDD values for the sites. canopy_gap: Percentage of open canopy per site as estimates of light levels. species: Species names of the four study species.
DOI: 10.6084/m9.figshare.23576565
title: informe-dotacions-sequera-total.xlsx

description: Dotacions mitjanes per mes per habitant i dia als municipis de les conques internes de Catalunya en situació diferent de la normalitat en matèria de sequera.
DOI: 10.6084/m9.figshare.23576565.v1
title: informe-dotacions-sequera-total.xlsx

description: Dotacions mitjanes per mes per habitant i dia als municipis de les conques internes de Catalunya en situació diferent de la normalitat en matèria de sequera.
DOI: 10.25392/leicester.data.23563056
title: Simulated Dataset (#986) from Scenario 2 of simulation study included in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets".

description: Simulated Dataset (#986) from Scenario 2 of simulation study included in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets" by Wells et al (submitted to Cancer Epidemiology). This dataset should be used along with a Simulated Dataset Population Mortality File and analysed in Do-file (referenced).
DOI: 10.25392/leicester.data.23564226
title: Simulated Dataset Population Mortality File related to the Simulated Dataset (#986) generated from simulation study described in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets" by Wells et al. (submitted to Cancer Epidemiology)

description: Population mortality file for the respective simulated dataset (#986) generated through simulation study described in the manuscript. The file format used (.dta) is specific to Stata software and was chosen to streamline the analysis by researchers. This dataset should be analysed using the Do-file along with Simulated Dataset (#986) (both referenced below).
DOI: 10.25392/leicester.data.23564226.v1
title: Simulated Dataset Population Mortality File related to the Simulated Dataset (#986) generated from simulation study described in the manuscript "Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets" by Wells et al. (submitted to Cancer Epidemiology)

description: Population mortality file for the respective simulated dataset (#986) generated through simulation study described in the manuscript. The file format used (.dta) is specific to Stata software and was chosen to streamline the analysis by researchers. This dataset should be analysed using the Do-file along with Simulated Dataset (#986) (both referenced below).
DOI: 10.6084/m9.figshare.23576559
title: dades_geo.gpkg

description: Dades descarregades d'openstreetmap utilitzades per al càlcul d'indicadors.
DOI: 10.6084/m9.figshare.23576559.v1
title: dades_geo.gpkg

description: Dades descarregades d'openstreetmap utilitzades per al càlcul d'indicadors.
DOI: 10.5258/soton/d2673
title: Data in support of the Southampton doctoral thesis 'The effect of immediate feedback and difficulty level on learning and engagement in a Spanish learning mobile application'.

description: This data supporting the University of Southampton doctoral thesis 'The effect of immediate feedback and difficulty level on learning and engagement in a Spanish learning mobile application'. The data includes four csv files. The four files are derived from usage data of a Spanish learning mobile application called 'Lengua Spanish' which was available on Google Play between September 2020 and March 2021.
DOI: 10.5517/ccdc.csd.cc2bbpx9
title: CCDC 2155241: Experimental Crystal Structure Determination

description: Related Article: Collin N. Muniz, Jonas Schaab, Anton Razgoniaev, Peter I. Djurovich, Mark E. Thompson|2022|J.Am.Chem.Soc.|144|17916|doi:10.1021/jacs.2c06948
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.