cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d1bph
title: CCDC 2205826: Experimental Crystal Structure Determination

description: Related Article: Xian-Yun Huang, Pei-Pei Xie, Lei-Ming Zou, Chao Zheng, Shu-Li You|2023|J.Am.Chem.Soc.|145|11745|doi:10.1021/jacs.3c02773
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.cc2d1bqj
title: CCDC 2205827: Experimental Crystal Structure Determination

description: Related Article: Xian-Yun Huang, Pei-Pei Xie, Lei-Ming Zou, Chao Zheng, Shu-Li You|2023|J.Am.Chem.Soc.|145|11745|doi:10.1021/jacs.3c02773
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.cc2dfznh
title: CCDC 2217977: Experimental Crystal Structure Determination

description: Related Article: Sourav Mondal, Tamal Ballav, Tofayel Sheikh Mohammad Tofayel, Venkataraman Ganesh|2023|Org.Lett.|25|3941|doi:10.1021/acs.orglett.3c01318
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.cc2dxfwn
title: CCDC 2231872: Experimental Crystal Structure Determination

description: Related Article: Gabriel Hidalgo, Gabriella Barozzino-Consiglio, Koen Robeyns, Michel Devillers, Eric M. Gaigneaux|2023|Inorg.Chem.|62|8576|doi:10.1021/acs.inorgchem.3c00467
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.cc2dxfxp
title: CCDC 2231873: Experimental Crystal Structure Determination

description: Related Article: Gabriel Hidalgo, Gabriella Barozzino-Consiglio, Koen Robeyns, Michel Devillers, Eric M. Gaigneaux|2023|Inorg.Chem.|62|8576|doi:10.1021/acs.inorgchem.3c00467
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.cc2dxfyq
title: CCDC 2231874: Experimental Crystal Structure Determination

description: Related Article: Gabriel Hidalgo, Gabriella Barozzino-Consiglio, Koen Robeyns, Michel Devillers, Eric M. Gaigneaux|2023|Inorg.Chem.|62|8576|doi:10.1021/acs.inorgchem.3c00467
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.cc2f01l3
title: CCDC 2234374: Experimental Crystal Structure Determination

description: Related Article: Abdussalam K. Qaroush, Ala'a F. Eftaiha, Feda'a M. Al-Qaisi, Khaleel I. Assaf, Suhad B. Hammad, Malak H. Al-Anati, Enas S. Radwan, Firas F. Awwadi|2023|Cat.Sci.Tech.|13|3245|doi:10.1039/D3CY00270E
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.23508324
title: 4a fase Festivales de Cannes: países, en inglés y español; número de producciones

description: Número de películas producidas por cada país. Incluyendo mapa mundial.
DOI: 10.6084/m9.figshare.23508324.v1
title: 4a fase Festivales de Cannes: países, en inglés y español; número de producciones

description: Número de películas producidas por cada país. Incluyendo mapa mundial.
DOI: 10.6084/m9.figshare.23508849
title: Biogeographic analysis raw data

description: This folder contains the data related with the biogeographical analyses
DOI: 10.6084/m9.figshare.23508858
title: Morphological disparity raw data

description: This folder contains the dataset and outputs from the morphological disparity analses
DOI: 10.6084/m9.figshare.23508870
title: Phylogenetic analysis raw data

description: This folder contains the dataset and outputs from the phylogenetic analysis.
DOI: 10.6084/m9.figshare.21656252
title: A Multigene phylogeny of Umbellidion revealed a novel lineage in Leotiomycetes

description: Novel sequences generated in this study were deposited in Genbank, (http://www.ncbi.nlm.nih.gov). Aligments file for Bayesian inference and Maximum likelihood, are deposited here.The dataset is based on LSU, ITS, SSU, RPB2 and TEF1.
DOI: 10.6084/m9.figshare.21656252.v1
title: A Multigene phylogeny of Umbellidion revealed a novel lineage in Leotiomycetes

description: Novel sequences generated in this study were deposited in Genbank, (http://www.ncbi.nlm.nih.gov). Aligments file for Bayesian inference and Maximum likelihood, are deposited here.The dataset is based on LSU, ITS, SSU, RPB2 and TEF1.
DOI: 10.6084/m9.figshare.23508336
title: 4a fase Festivales de Cannes: idiomas, (datos escritos en inglés y español); número de producciones

description: Número de veces que un idioma aparece en las películas seleccionadas por el Festival de Cannes, por décadas. Frecuencias. Obtenido de WordMap, de MaxQDA.
DOI: 10.5281/zenodo.8033723
title: synergus_coniferae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8033722
title: synergus_coniferae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.17028/rd.lboro.22193449
title: Supplementary information files for Predicting future GB heat pump electricity demand

description: Supplementary files for article Predicting future GB heat pump electricity demand To meet net zero carbon targets by 2050s, countries with cold winters, such as Great Britain (GB), will turn to low carbon domestic heating systems such as electric heat pumps. In this paper, a statistical model is developed using measured performance data from over 550 heat pumps installed in GB homes in 2012. The model is used to predict the additional load on the GB electricity generation and distribution infrastructure for various current and future (2050) climates, dwelling energy efficiencies and heat pump deployment scenarios. For a cold year in the 2020s, a 100% uptake of heat pumps in the existing GB dwelling stock gave a peak electricity demand for the heat pumps of 78 GW and an annual electricity demand of 189 TWh. When added to the other, existing electricity demand, this represents an increase in the GB peak electricity demand in excess of 100% and an annual electricity demand increase of around 60%. Making reasonable assumptions about heat pumps’ future efficiency and use, and the future climate and dwelling stock fabric efficiency, and assuming 80% heat pump uptake and no load shifting, the peak heat pump electricity demand for a cold year in the 2050s halved to 37 GW. By shifting demand for water and space heating the 2020s cold year peak demand reduced by 15%. The work provides a more robust estimate of future GB heat pump electricity demands than any previously available. The predicted future ramp rates, peak and annual total electricity demands, are lower than predicted by previous analysts.
DOI: 10.5281/zenodo.8033667
title: Remote insolation forcing of orbital-scale South Asian summer monsoon variability

description: CESM simulation data for the manuscript "Remote insolation forcing of orbital-scale South Asian summer monsoon variability", which has been submitted to Geophysical Research Letters.
DOI: 10.5281/zenodo.8033666
title: Remote insolation forcing of orbital-scale South Asian summer monsoon variability

description: CESM simulation data for the manuscript "Remote insolation forcing of orbital-scale South Asian summer monsoon variability", which has been submitted to Geophysical Research Letters.
DOI: 10.1285/i9788883051951
title: Un'introduzione alla Geometria Riemanniana - Seconda Edizione
DOI: 10.7489/1917-1
title: Scottish Shellfish Farm Production Survey
title: Shellfish Survey

description: Production and employment statistics for shellfish aquaculture in Scotland
description: Summary statistics collated from data collected as part of an annual survey questionnaire sent to all active authorised shellfish farming businesses in Scotland
DOI: 10.1285/i9788883051951pi
title: Frontespizio e pagine iniziali
DOI: 10.1285/i9788883051951pvii
title: Indice
DOI: 10.5285/67ceb7c8-218c-46e1-9927-cfef2dd95526
title: Precipitation and temperature data from statistically downscaled CMIP5 models, Cordillera Blanca and Vilcanota-Urubamba regions, Peru, from 2019 to 2100

description: Precipitation and near-surface temperature data from the Coupled Model Intercomparison Project phase 5 (CMIP5 models) are statistically downscaled to create these gridded datasets over the Rio Santa River Basin (in the Cordillera Blanca; d02) and the Vilcanota-Urubamba region (d03) at 4 km horizontal resolution, from 2019-2100. The bias-corrected WRF data found in the related dataset are used as the observational truth for the historical period 1980-2018, and the data are downscaled using an empirical quantile mapping technique. Two representative concentration pathways (RCP) have been downscaled, RCP 4.5 and RCP 8.5, from 30 CMIP5 models. The daily total precipitation and daily minimum and maximum temperature at 2 m are downscaled, and the daily average and monthly average temperatures are calculated using the hourly temperature (not archived due to space constraints). The potential evapotranspiration is estimated from the downscaled precipitation and temperature data, using the Hargreaves equation. These data were corrected as part of the PEGASUS (Producing EnerGy and preventing hAzards from SUrface water Storage in Peru) and Peru GROWS (Peruvian Glacier Retreat and its Impact on Water Security) projects. The datasets were created to assess future climate in the Peruvian Andes, as a basis to determine future climate in the region, and as an input for glaciological and hydrological models. The data were created on the JASMIN supercomputer. The creation of this data was conducted under the Peru GROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC "Glacier Research Circles", through its executing unit FONDECYT (Contract No. 08-2019-FONDECYT).
description: First, the CMIP5 models are regridded to the horizontal resolution of the WRF grid using bilinear interpolation. The statistical downscaling follows the empirical quantile mapping technique described in Cannon et al. (2015). This method preserves the large-scale trends from the CMIP5 models at each quantile (i.e. the trends in both the median and the extremes are preserved), while adjusting the number of wet days and the magnitude of precipitation and temperature based on the values from 1980-2018. The hourly temperature is calculated by scaling the raw WRF output to the bias-corrected minimum and maximum daily temperatures. Full details of the methodology can be found in Potter et al., (2023).
description: See the reference materials for information on the CMIP5 models.
description: There are no known quality issues with the data.
DOI: 10.1285/i9788883051951pxi
title: Prefazione alla Seconda Edizione
DOI: 10.1285/i9788883051951pxiii
title: Prefazione alla Prima Edizione
DOI: 10.1285/i9788883051951p1
title: Introduzione (storica)
DOI: 10.5281/zenodo.8033739
title: Annotated dataset mentions corpus in IR/ML/NLP domain

description: This corpus is a re-annotated version of the dataset available at https://github.com/xjaeh/ner_dataset_recognition and described in the following publication: Heddes, J.; Meerdink, P.; Pieters, M.; Marx, M. The Automatic Detection of Dataset Names in Scientific Articles. <em>Data</em> 2021, <em>6</em>, 84. https://doi.org/10.3390/data6080084 The corpus contains 6000 sentences in the IR/ML/NLP domains, with dataset annotations. The original corpus in CSV covered only explicitly named and reused datasets. In addition, "conjunctions" of datasets were annotated in a single span. We review entirely the annotation to include new datasets too (as developed in the described research work of the source articles) and to annotate separately every individual datasets. In addition, we re-packaged the corpus into a more standard JSON with annotation offsets. Python scripts for conversion are available at https://github.com/kermitt2/dataset_recognition_resources We thank the original authors of the corpus for their very valuable resource !
DOI: 10.5281/zenodo.8033738
title: Annotated dataset mentions corpus in IR/ML/NLP domain

description: This corpus is a re-annotated version of the dataset available at https://github.com/xjaeh/ner_dataset_recognition and described in the following publication: Heddes, J.; Meerdink, P.; Pieters, M.; Marx, M. The Automatic Detection of Dataset Names in Scientific Articles. <em>Data</em> 2021, <em>6</em>, 84. https://doi.org/10.3390/data6080084 The corpus contains 6000 sentences in the IR/ML/NLP domains, with dataset annotations. The original corpus in CSV covered only explicitly named and reused datasets. In addition, "conjunctions" of datasets were annotated in a single span. We review entirely the annotation to include new datasets too (as developed in the described research work of the source articles) and to annotate separately every individual datasets. In addition, we re-packaged the corpus into a more standard JSON with annotation offsets. Python scripts for conversion are available at https://github.com/kermitt2/dataset_recognition_resources We thank the original authors of the corpus for their very valuable resource !
DOI: 10.1285/i9788883051951p5
title: Varietà e applicazioni differenziabili
DOI: 10.1285/i9788883051951p23
title: Nozioni di base sulle varietà differenziabili
DOI: 10.5281/zenodo.8033675
title: Procesamiento de datos sobre las encuestas obtenidas, en excel, qgis.

description: En los documentos adjuntos se encuentra la información necesaria para llevar a cabo el estudio en la Universidad del Azuay. En primer lugar, se encuentra la base de cálculo de la muestra de estudiantes que serán encuestados. Además, se incluye un archivo que presenta los datos obtenidos en las encuestas, junto con su análisis cuantitativo y gráfico. Asimismo, se adjunta un archivo comprimido que contiene la capa de la zona de estudio en la que se implementarán las rutas del proyecto UDA-CARPOOLING. En este archivo, se realizó un análisis utilizando QGIS, que incluye información como el número de estudiantes por polígono, el cálculo de centroides y el número de vías por polígono. Finalmente, se proporciona un archivo de cálculo que muestra el procedimiento utilizado para determinar las microrutas utilizando los algoritmos de Bellman-Ford y Dijkstra.
DOI: 10.5281/zenodo.8033674
title: Procesamiento de datos sobre las encuestas obtenidas, en excel, qgis.

description: En los documentos adjuntos se encuentra la información necesaria para llevar a cabo el estudio en la Universidad del Azuay. En primer lugar, se encuentra la base de cálculo de la muestra de estudiantes que serán encuestados. Además, se incluye un archivo que presenta los datos obtenidos en las encuestas, junto con su análisis cuantitativo y gráfico. Asimismo, se adjunta un archivo comprimido que contiene la capa de la zona de estudio en la que se implementarán las rutas del proyecto UDA-CARPOOLING. En este archivo, se realizó un análisis utilizando QGIS, que incluye información como el número de estudiantes por polígono, el cálculo de centroides y el número de vías por polígono. Finalmente, se proporciona un archivo de cálculo que muestra el procedimiento utilizado para determinar las microrutas utilizando los algoritmos de Bellman-Ford y Dijkstra.
DOI: 10.5517/ccdc.csd.cc297ss4
title: CCDC 2122656: Experimental Crystal Structure Determination

description: Related Article: Yi-Zhan Wang, Shao-Dong Liu, Liang Cheng, Li Liu, Chao-Jun Li|2023|Org.Chem.Front.|10|3021|doi:10.1039/D3QO00475A
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.cc297st5
title: CCDC 2122657: Experimental Crystal Structure Determination

description: Related Article: Yi-Zhan Wang, Shao-Dong Liu, Liang Cheng, Li Liu, Chao-Jun Li|2023|Org.Chem.Front.|10|3021|doi:10.1039/D3QO00475A
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: 10.1285/i9788883051951p63
title: Gruppi di Lie
DOI: 10.5517/ccdc.csd.cc2bnmxk
title: CCDC 2164789: Experimental Crystal Structure Determination

description: Related Article: Ryota Sato, Kunfeng Chen, Takeshi Yasuda, Takaki Kanbara, Junpei Kuwabara|2023|Org.Chem.Front.|10|2955|doi:10.1039/D3QO00289F
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.cc2c5w3k
title: CCDC 2180388: Experimental Crystal Structure Determination

description: Related Article: Yunliang Yu, Nazarii Sabat, Meriem Daghmoum, Zhenhao Zhang, Pascal Retailleau, Gilles Frison, Angela Marinetti, Xavier Guinchard|2023|Org.Chem.Front.|10|2936|doi:10.1039/D3QO00415E
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.cc2c5w4l
title: CCDC 2180389: Experimental Crystal Structure Determination

description: Related Article: Yunliang Yu, Nazarii Sabat, Meriem Daghmoum, Zhenhao Zhang, Pascal Retailleau, Gilles Frison, Angela Marinetti, Xavier Guinchard|2023|Org.Chem.Front.|10|2936|doi:10.1039/D3QO00415E
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.21624789
title: Phytotoxicity level and accumulation ability of pot marigold (<i>Calendula officinalis</i> L.) to zinc

description: The study aims to reveal the effects of different Zn levels on pot marigold. We determined some germination and young seedling properties in the first experiment, and morphological, stomatal, and physiological parameters besides uptake profiles of both Zn and other plant nutrients in the second one. We supplied the water requirement of the seeds with Zn solutions (0, 250, 500, 750, and 1,000 mg l<sup>−1</sup>) in the first experiment, and We added the same zinc doses as mg kg<sup>−1</sup> to the soil of the pots where the plants would grow in the second one. As a result, the inhibitory effects were more prominent in the early seedling stage (especially at 1,000 mg l<sup>−1</sup> Zn) than in the germination one. We determined plant growth retardation, decreases in leaf water contents, and increases in membrane damages with higher Zn (≥500 mg kg<sup>−1</sup>) in the experiment conducted by potting soil. We detected decreases in chlorophyll parameters parallel with the increases in Zn. The alterations in plant zinc contents revealed the accumulation capacity of pot marigold in potting conditions. That TF value &gt;1 in Zn treatments up to 500 mg kg<sup>−1</sup> points to the efficiency limit of pot marigold as a Zn-accumulator plant. To reveal the zinc tolerance of the plant through experiments carried out in two different plant growth stages, germination-young seedling and adult plant is an innovative approach. Besides, it is the first study to evaluate detailed morphological, physiological, stomatal and nutrient contents of pot marigold under heavy metal stress conditions. Thus, this study displayed both tolerance level and accumulation potential in potting conditions of pot-marigold to zinc.