cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19164662.v1
title: Short DNA sequence recognized by ERF2

description: Short DNA sequence recognized by ERF2
DOI: 10.6084/m9.figshare.19164665
title: Forest Fragmentation of Arunachal Pradesh, India from 2000-2020

description: It has been observed that in the last two decades from 2000 to 2020 an area of 1571.22 km<sup>2</sup> (1.88%) has been lost due to deforestation. Although there was increase in the dense forest with an area of 6858.43 km<sup>2</sup> (8.19%), the moderately dense forest was worst affected and degraded with a loss of 9347.50 km<sup>2</sup> (11.16%) and the open forest was increased by 917.85 km<sup>2</sup> (1.10%). The major changes took place in the conversion of moderate forests into agricultural lands and settlements. Most of the metrics used in forest fragmentation analysis identified certain differences whereas number of patches (NP) and mean patch size (MPS) indicated that forests have been decreased to a major extent during the years 2000-2020, fragmented and patches are far located from each other. Different landscape metrics identified by these approaches suggest that deforestation was being closely associated with forest fragmentation and socio-economic activities like agricultural lands and settlements. The results can be utilized as an important monitoring tool to identify the fragmented landscape pattern, analyse conservation success and enhance management decisions.
DOI: 10.6084/m9.figshare.19164665.v1
title: Forest Fragmentation

description: It has been observed that in the last two decades from 2000 to 2020 an area of 1571.22 km<sup>2</sup> (1.88%) has been lost due to deforestation. Although there was increase in the dense forest with an area of 6858.43 km<sup>2</sup> (8.19%), the moderately dense forest was worst affected and degraded with a loss of 9347.50 km<sup>2</sup> (11.16%) and the open forest was increased by 917.85 km<sup>2</sup> (1.10%). The major changes took place in the conversion of moderate forests into agricultural lands and settlements. Most of the metrics used in forest fragmentation analysis identified certain differences whereas number of patches (NP) and mean patch size (MPS) indicated that forests have been decreased to a major extent during the years 2000-2020, fragmented and patches are far located from each other. Different landscape metrics identified by these approaches suggest that deforestation was being closely associated with forest fragmentation and socio-economic activities like agricultural lands and settlements. The results can be utilized as an important monitoring tool to identify the fragmented landscape pattern, analyse conservation success and enhance management decisions.
DOI: 10.5517/ccdc.csd.cc29bm7j
title: CCDC 2125367: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bm8k
title: CCDC 2125368: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bm9l
title: CCDC 2125369: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bmbm
title: CCDC 2125370: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bmcn
title: CCDC 2125371: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bqzc
title: CCDC 2125483: Experimental Crystal Structure Determination

description: Related Article: Tong-Hao Li, Da-Ming Du|2022|Org.Biomol.Chem.|20|817|doi:10.1039/D1OB02350K
DOI: 10.5517/ccdc.csd.cc29btdw
title: CCDC 2125558: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29btfx
title: CCDC 2125559: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29btgy
title: CCDC 2125560: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29bthz
title: CCDC 2125561: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29btj0
title: CCDC 2125562: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29btk1
title: CCDC 2125563: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29btl2
title: CCDC 2125564: Experimental Crystal Structure Determination

description: Related Article: Nikola Bedeković, Luka Fotović, Vladimir Stilinović, Dominik Cinčić|2022|Cryst.Growth Des.|22|987|doi:10.1021/acs.cgd.1c01424
DOI: 10.5517/ccdc.csd.cc29c6zw
title: CCDC 2125948: Experimental Crystal Structure Determination

description: Related Article: Caitlin J. Bouchey, William B. Tolman|2022|Inorg.Chem.|61|2662|doi:10.1021/acs.inorgchem.1c03790
DOI: 10.5281/zenodo.6051901
title: Dataset and additional files/softwares required for the paper "LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents"

description: This dump contains all files and softwares required for running the codes for the paper "LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents". Specifically, these codes are available at https://github.com/Law-AI/LeSICiN. LeSICiN is a deep neural network for the task of Legal Statute Identification which also uses graphical properties of the document-statute citation network for training and predictions. We have three datasets --- train, dev and test. These are all .jsonl files with each instance dict per line; each instance dict contains the unique id, list of sentences and cited labels of the particular instance. Also, there is a fourth file --- secs.jsonl, which stores the text of all the statutes in similar format. schemas.json list out the metapath schemas for fact and section type nodes, while type_map.json maps the id of each node to its type (Act/Chapter/Topic/Section/Fact). label_tree.json and citation_network.json list out the edges for the two parts of the network in the format of a 3-tuple ('source id', 'relationship type', 'target id') "ils2v.bin" is the pretrained sent2vec vectorizer that can generate a 200-dim vector for each sentence
DOI: 10.5281/zenodo.5812405
title: Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention: raw dataset

description: Raw dataset for the publication: <strong>Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention</strong>
description: {"references": ["Beduer, Bonini, Verheyen, et al. 2021, https://doi.org/10.5281/zenodo.4936976: 2 images used for pore size evaluation"]}
DOI: 10.5281/zenodo.4541497
title: Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention: raw dataset

description: Raw dataset for the publication: <strong>Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention</strong>
description: {"references": ["Beduer, Bonini, Verheyen, et al. 2021, https://doi.org/10.5281/zenodo.4936976: 2 images used for pore size evaluation"]}
DOI: 10.34740/kaggle/dsv/3174041
title: AutoXGB
DOI: 10.6084/m9.figshare.12979709.v5
title: Microbes in Challenger Deep (CD) sediments

description: File1: 16S miTags were extracted from CD sediment metagenomes.File2: Identity of CD 16S miTags based on SILVA 138 SSU.File3: 16S miTags were extracted from Mariana water metagenomes.File4: Identity of Mariana water 16S miTags based on SILVA 138 SSU.File5: 16S miTags were extracted from deep-sea sediment metagenomes.File6: Identity of deep-sea 16S miTags based on SILVA 138 SSU.File7: Identity of Tara Ocean 16S miTags based on SILVA 138 SSU. (sequences downloaded from http://ocean-microbiome.embl.de/companion.html )File8: Gene annotation
DOI: 10.34740/kaggle/dsv/3174057
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.34740/kaggle/dsv/3174038
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5517/ccdc.csd.cc29d8dd
title: CCDC 2126953: Experimental Crystal Structure Determination

description: Related Article: Lixiong Qian, Lei Yao, Yunpeng Liu, Hao Wang, Jiajun Zhong, Chao Liu, Guang Mo, Xueqing Xing, Zhongjun Chen, Zhonghua Wu|2022|Inorg.Chem.|61|2669|doi:10.1021/acs.inorgchem.1c03810
DOI: 10.5517/ccdc.csd.cc27jdpw
title: CCDC 2071348: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jdry
title: CCDC 2071350: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jffn
title: CCDC 2071371: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jfhq
title: CCDC 2071373: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jfbk
title: CCDC 2071368: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jdz5
title: CCDC 2071357: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jf3b
title: CCDC 2071361: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5517/ccdc.csd.cc27jfw3
title: CCDC 2071385: Experimental Crystal Structure Determination

description: Related Article: Jiang-Bo Ming, Xiao Li, Jing Li, Wei Yu, Wei Wang|2022|Cryst.Growth Des.|22|1212|doi:10.1021/acs.cgd.1c01162
DOI: 10.5281/zenodo.6052713
title: Revistas de concurso Biblioteca UCLM 2021

description: Revistas de concurso Biblioteca UCLM 2021
DOI: 10.6084/m9.figshare.19164845
title: Anti-spike antibody response to natural infection with SARS-CoV-2 and its activity against emerging variants

description: Anti-Spike antibodiesACE blocking assayRBD bing assayMemory B cell
DOI: 10.6084/m9.figshare.19164845.v1
title: Anti-spike antibody response to natural infection with SARS-CoV-2 and its activity against emerging variants

description: Anti-Spike antibodiesACE blocking assayRBD bing assayMemory B cell
DOI: 10.5281/zenodo.6052774
title: Revistas de concurso Biblioteca UCLM 2021

description: Revistas de concurso Biblioteca UCLM 2021
DOI: 10.5281/zenodo.6052712
title: Revistas de concurso Biblioteca UCLM 2021

description: Revistas de concurso Biblioteca UCLM 2021
DOI: 10.6084/m9.figshare.19164851
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.19164851.v1
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.5281/zenodo.6052776
title: Does chest wall conformation influence myocardial strain parameters in infants with pectus excavatum?

description: Purpose: To investigate the possible influence of chest wall conformation on myocardial strain parameters in a consecutive population of infants with pectus excavatum (PE), noninvasively assessed by modified Haller index (MHI).<br> Methods: Sixteen consecutive PE infants (MHI &gt;2.5) and 44 infants with normal chest shape (MHI ≤2.5) entered in this prospective case–control study. All infants underwent evaluation by neonatologist, transthoracic echocardiography implemented with two-<br> dimensional speckle tracking echocardiography (2D-STE) analysis of both ventricles and MHI assessment (ratio of chest transverse diameter over the distance between sternum and spine), at two time points: within 3 days and at about 40 days of life.<br> Results: At 2.1 ± 1 days of life, compared to controls (MHI =2.01 ± 0.2), PE infants (MHI = 2.76 ± 0.2) were diagnosed with significantly smaller cardiac chambers dimensions. Biventricular contractile function and hemodynamics were similar in both<br> groups of infants. Left ventricular (LV) global longitudinal strain (GLS) (-16.0 ± 2.8 vs. -1.7 ± 2.2%), LV-global circumferential strain (GCS) (-16.3 ± 2.7 vs. -24.0 ± 5.2%), LV-global radial strain (GRS) (24.2 ± 3.0 vs. 31.5 ± 6.3%), and right ventricular free<br> wall longitudinal strain (RVFWLS) (-16.0 ± 3.2 vs. -22.3 ± 4.4%) were significantly reduced in PE infants versus controls (all p &lt; 0.001). A strong inverse correlation between MHI and the following parameters: LV-GLS (r =-0.92), LV-GCS (r =-0.88),<br> LV-GRS (r = -0.87), and RVFWLS (r = -0.88), was demonstrated in PE infants, but not in controls, in perinatal period (all p &lt; 0.001). Analogous results were obtained at 36.8 ± 5.2 days after birth.<br> Conclusions: Abnormal chest anatomy progressively impairs myocardial strain parameters in PE infants. This impairment might reflect intraventricular dyssynchrony due to compressive phenomena rather than intrinsic myocardial dysfunction
DOI: 10.5281/zenodo.6052775
title: Does chest wall conformation influence myocardial strain parameters in infants with pectus excavatum?

description: Purpose: To investigate the possible influence of chest wall conformation on myocardial strain parameters in a consecutive population of infants with pectus excavatum (PE), noninvasively assessed by modified Haller index (MHI).<br> Methods: Sixteen consecutive PE infants (MHI &gt;2.5) and 44 infants with normal chest shape (MHI ≤2.5) entered in this prospective case–control study. All infants underwent evaluation by neonatologist, transthoracic echocardiography implemented with two-<br> dimensional speckle tracking echocardiography (2D-STE) analysis of both ventricles and MHI assessment (ratio of chest transverse diameter over the distance between sternum and spine), at two time points: within 3 days and at about 40 days of life.<br> Results: At 2.1 ± 1 days of life, compared to controls (MHI =2.01 ± 0.2), PE infants (MHI = 2.76 ± 0.2) were diagnosed with significantly smaller cardiac chambers dimensions. Biventricular contractile function and hemodynamics were similar in both<br> groups of infants. Left ventricular (LV) global longitudinal strain (GLS) (-16.0 ± 2.8 vs. -1.7 ± 2.2%), LV-global circumferential strain (GCS) (-16.3 ± 2.7 vs. -24.0 ± 5.2%), LV-global radial strain (GRS) (24.2 ± 3.0 vs. 31.5 ± 6.3%), and right ventricular free<br> wall longitudinal strain (RVFWLS) (-16.0 ± 3.2 vs. -22.3 ± 4.4%) were significantly reduced in PE infants versus controls (all p &lt; 0.001). A strong inverse correlation between MHI and the following parameters: LV-GLS (r =-0.92), LV-GCS (r =-0.88),<br> LV-GRS (r = -0.87), and RVFWLS (r = -0.88), was demonstrated in PE infants, but not in controls, in perinatal period (all p &lt; 0.001). Analogous results were obtained at 36.8 ± 5.2 days after birth.<br> Conclusions: Abnormal chest anatomy progressively impairs myocardial strain parameters in PE infants. This impairment might reflect intraventricular dyssynchrony due to compressive phenomena rather than intrinsic myocardial dysfunction
DOI: 10.6084/m9.figshare.19164833
title: Analysis of the Intestinal Microbial Diversity of the African Ostrich

description: <b> African Ostrich Intestinal Microbial Diversity</b>
DOI: 10.6084/m9.figshare.19164833.v2
title: Analysis of the Intestinal Microbial Diversity of the African Ostrich

description: <b> African Ostrich Intestinal Microbial Diversity</b>
DOI: 10.5281/zenodo.5992108
title: MIg-RD supplemental

description: MIg-RD supplemental
DOI: 10.5281/zenodo.5992107
title: MIg-RD supplemental

description: MIg-RD supplemental
DOI: 10.5281/zenodo.5862211
title: Integrating sustainability into higher education: Saudi Vision 2030

description: It is a sustainability integration into higher education work.
DOI: 10.6084/m9.figshare.19153538
title: Winter particulate pollution severity in North China driven by atmospheric teleconnections

description: Datasets for the study "Winter particulate pollution severity in North China driven by atmospheric teleconnections"
DOI: 10.6084/m9.figshare.19153538.v1
title: Winter particulate pollution severity in North China driven by atmospheric teleconnections

description: Datasets for the study "Winter particulate pollution severity in North China driven by atmospheric teleconnections"
DOI: 10.5281/zenodo.6049980
title: SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using k-D trees

description: Jupyter notebooks and light-curve features used in Aleo et al 2021
DOI: 10.5281/zenodo.6049979
title: SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using k-D trees

description: Jupyter notebooks and light-curve features used in Aleo et al 2021
DOI: 10.6084/m9.figshare.17062085
title: Chronostratigraphic data from Mokomoko Inlet, southern New Zealand

description: Caesium, stable lead isotope and radiocarbon data from core MKT-18.5, taken from Mokomoko Inlet, southern New Zealand. Associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.
DOI: 10.6084/m9.figshare.19134335
title: Relative sea-level data from Mokomoko Inlet and Pounawea in HOLSEA format

description: Relative sea-level data from Mokomoko Inlet and Pounawea, southern New Zealand in HOLSEA workbook format (www.holsea.org). Associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.
DOI: 10.6084/m9.figshare.17061224
title: Surface and core foraminifera from Mokomoko Inlet, southern New Zealand

description: Foraminifera data (surface and core MKT-18.5) from Mokomoko Inlet, southern New Zealand associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.<b></b>
DOI: 10.6084/m9.figshare.17061449
title: Core pollen data from Mokomoko Inlet, southern New Zealand

description: Pollen data from core MKT-18.5, Mokomoko Inlet, southern New Zealand. Associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.
DOI: 10.6084/m9.figshare.19134335.v1
title: Relative sea-level data from Mokomoko Inlet and Pounawea in HOLSEA format

description: Relative sea-level data from Mokomoko Inlet and Pounawea, southern New Zealand in HOLSEA workbook format (www.holsea.org). Associated with manuscript Garrett et al., Drivers of 20th century sea-level change in southern New Zealand determined from proxy and instrumental records.