cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1410807
title: Dataset From "Combined Landsat And L-Band Sar Data Improves Land Cover Classification And Change Detection In Dynamic Tropical Landscapes"

description: These are the output land cover and land cover change raster maps from the paper, "Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes," published in Remote Sensing journal.

ABSTRACT. Robust quantitative estimates of land use and land cover change are necessary to develop policy solutions and interventions aimed towards sustainable land management. Here, we evaluated the combination of Landsat and L-band Synthetic Aperture Radar (SAR) data to estimate land use/cover change in the dynamic tropical landscape of Tanintharyi, southern Myanmar. We classified Landsat and L-band SAR data, specifically Japan Earth Resources Satellite (JERS-1) and Advanced Land Observing Satellite-2 Phased Array L-band Synthetic Aperture Radar-2 (ALOS-2/PALSAR-2), using Random Forests classifier to map and quantify land use/cover change transitions between 1995 and 2015 in the Tanintharyi Region. We compared the classification accuracies of single versus combined sensor data, and assessed contributions of optical and radar layers to classification accuracy. Combined Landsat and L-band SAR data produced the best overall classification accuracies (92.96% to 93.83%), outperforming individual sensor data (91.20% to 91.93% for Landsat-only; 56.01% to 71.43% for SAR-only). Radar layers, particularly SAR-derived textures, were influential predictors for land cover classification, together with optical layers. Landscape change was extensive (16,490 km<sup>2</sup>; 39% of total area), as well as total forest conversion into agricultural plantations (3,214 km<sup>2</sup>). Gross forest loss (5,133 km<sup>2</sup>) in 1995 was largely from conversion to shrubs/orchards and tree (oil palm, rubber) plantations, and gross gains in oil palm (5,471 km<sup>2</sup>) and rubber (4,025 km<sup>2</sup>) plantations by 2015 were mainly from conversion of shrubs/orchards and forests. Analysis of combined Landsat and L-band SAR data provides an improved understanding of the associated drivers of agricultural plantation expansion and the dynamics of land use/cover change in tropical forest landscapes.
DOI: 10.5281/zenodo.1410808
title: Dataset From "Combined Landsat And L-Band Sar Data Improves Land Cover Classification And Change Detection In Dynamic Tropical Landscapes"

description: These are the output land cover and land cover change raster maps from the paper, "Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes," published in Remote Sensing journal.

ABSTRACT. Robust quantitative estimates of land use and land cover change are necessary to develop policy solutions and interventions aimed towards sustainable land management. Here, we evaluated the combination of Landsat and L-band Synthetic Aperture Radar (SAR) data to estimate land use/cover change in the dynamic tropical landscape of Tanintharyi, southern Myanmar. We classified Landsat and L-band SAR data, specifically Japan Earth Resources Satellite (JERS-1) and Advanced Land Observing Satellite-2 Phased Array L-band Synthetic Aperture Radar-2 (ALOS-2/PALSAR-2), using Random Forests classifier to map and quantify land use/cover change transitions between 1995 and 2015 in the Tanintharyi Region. We compared the classification accuracies of single versus combined sensor data, and assessed contributions of optical and radar layers to classification accuracy. Combined Landsat and L-band SAR data produced the best overall classification accuracies (92.96% to 93.83%), outperforming individual sensor data (91.20% to 91.93% for Landsat-only; 56.01% to 71.43% for SAR-only). Radar layers, particularly SAR-derived textures, were influential predictors for land cover classification, together with optical layers. Landscape change was extensive (16,490 km<sup>2</sup>; 39% of total area), as well as total forest conversion into agricultural plantations (3,214 km<sup>2</sup>). Gross forest loss (5,133 km<sup>2</sup>) in 1995 was largely from conversion to shrubs/orchards and tree (oil palm, rubber) plantations, and gross gains in oil palm (5,471 km<sup>2</sup>) and rubber (4,025 km<sup>2</sup>) plantations by 2015 were mainly from conversion of shrubs/orchards and forests. Analysis of combined Landsat and L-band SAR data provides an improved understanding of the associated drivers of agricultural plantation expansion and the dynamics of land use/cover change in tropical forest landscapes.
DOI: 10.6073/pasta/be517410797b259f4c61b1af3c632fa3
title: Can dispersal mode predict corridor effects on plant parasites?

description: Habitat corridors, a common management strategy for increasing
  connectivity in fragmented landscapes, have experimentally validated
  positive influences on species movement and diversity. However,
  long-standing concerns that corridors could negatively impact native
  species by spreading antagonists, such as disease, remain largely
  untested. Using a large-scale, replicated experiment, we evaluated
  whether corridors increase the incidence of plant parasites. We found
  that corridor impacts varied with parasite dispersal mode.
  Connectivity provided by corridors increased incidence of biotically
  dispersed parasites (galls on Solidago odora) but not of abiotically
  dispersed parasites (foliar fungi on S. odora and three Lespedeza
  spp.). Both biotically and abiotically dispersed parasites responded
  to edge effects, but the direction of responses varied across species.
  Although our results require additional tests for generality to other
  species and landscapes, they suggest that, when establishing
  conservation corridors, managers should focus on mitigating two
  potential negative effects: the indirect effects of narrow corridors
  in creating edges and direct effects of corridors in enhancing
  connectivity of biotically dispersed parasites.
DOI: 10.7910/dvn/zrudfc/0rzxcj
title: intraparty_rep_code-1.R
DOI: 10.5517/ccdc.csd.cc1q3bx2
title: CCDC 1582144: Experimental Crystal Structure Determination

description: Related Article: Chun-Yan Zhang,  Li-Jun Zhang,  Zhi-Cheng Lu,  Chen-Yun Ma,  Ying Ye,  Khalid Rahman,  Hong Zhang,  and Jian-Yong Zhu|2018|J.Nat.Prod.|81|1701|doi:10.1021/acs.jnatprod.7b01036
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.cc1q3by3
title: CCDC 1582145: Experimental Crystal Structure Determination

description: Related Article: Chun-Yan Zhang,  Li-Jun Zhang,  Zhi-Cheng Lu,  Chen-Yun Ma,  Ying Ye,  Khalid Rahman,  Hong Zhang,  and Jian-Yong Zhu|2018|J.Nat.Prod.|81|1701|doi:10.1021/acs.jnatprod.7b01036
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.cc1q3bz4
title: CCDC 1582146: Experimental Crystal Structure Determination

description: Related Article: Chun-Yan Zhang,  Li-Jun Zhang,  Zhi-Cheng Lu,  Chen-Yun Ma,  Ying Ye,  Khalid Rahman,  Hong Zhang,  and Jian-Yong Zhu|2018|J.Nat.Prod.|81|1701|doi:10.1021/acs.jnatprod.7b01036
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.cc1q6y3z
title: CCDC 1585591: Experimental Crystal Structure Determination

description: Related Article: Guang-Hui Huang,  Zhu Hu,  Chun Lei,  Pei-Pei Wang,  Jing Yang,  Jing-Ya Li,  Jia Li,  and Ai-Jun Hou|2018|J.Nat.Prod.|81|1810|doi:10.1021/acs.jnatprod.8b00273
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.cc1qbn7y
title: CCDC 1589160: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Pang,  Xiuping Lin,  Jie Yang,  Xuefeng Zhou,  Bin Yang,  Junfeng Wang,  and Yonghong Liu|2018|J.Nat.Prod.|81|1860|doi:10.1021/acs.jnatprod.8b00345
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.cc1qbvc8
title: CCDC 1589350: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Pang,  Xiuping Lin,  Jie Yang,  Xuefeng Zhou,  Bin Yang,  Junfeng Wang,  and Yonghong Liu|2018|J.Nat.Prod.|81|1860|doi:10.1021/acs.jnatprod.8b00345
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: 10.6073/pasta/62374c5054abd0533dd1337716992ace
title: Effects of Corridors on Genetics of a Butterfly in a Landscape Experiment

description: To investigate the possible role of landscape connectivity on the
  genetic structure of isolated populations, we examined the effects of
  habitat corridors on the population genetics of a vagile butterfly
  species, Junonia coenia, within a largescale, experimental system.
  Using allozyme electrophoresis, a total of nine loci were identified
  and scored, six of which exhibited polymorphism. Our data demonstrated
  consistently higher levels of expected (He) and observed (Ho)
  heterozygosity in butterflies sampled from patches connected by
  corridors compared to unconnected patches. A t-test comparing He and
  Ho in connected versus unconnected patches found a marginally
  significant difference in one locus, the glycolytic enzyme
  phosphoglucose isomerase (PGI). Connected patches exhibited overall
  lower FST values compared to unconnected patches, indicating
  potentially increased levels of gene flow due to corridors. Our
  results support previous investigations on dispersal and population
  size for J. coenia, and show that higher dispersal through corridors
  promotes genetic variability at a locus (PGI) implicated in dispersal
  and fitness in butterflies.
DOI: 10.5281/zenodo.1410403
title: Spanish 3B Words Word2Vec Embeddings

description: Ready to use gensim Word2Vec embedding models for the Spanish language. Models are created using a window of +/- 5 words, discarding those words with less than 5 instances and creating a vector of 400 dimensions for each word. The text used to create the embeddings has been recovered from news, Wikipedia, the Spanish BOE, web crawling and open literary sources.  The used text has a total of 3.257.329.900 words and 18.852.481.207 characters.

We support two types of models: Gensim full models (complete_model.zip) and KeyedVectors (keyed_vectors.zip). You can check the differences between them in the following URL: https://radimrehurek.com/gensim/models/keyedvectors.html

To load the full model use: model = Word2Vec.load("complete.model")<br>
To load the KeyedVectors use: word_vectors = KeyedVectors.load('complete.kv', mmap='r')

More info about the models can be found in: https://github.com/aitoralmeida/spanish_word2vec
DOI: 10.5517/ccdc.csd.cc1qbvkg
title: CCDC 1589356: Experimental Crystal Structure Determination

description: Related Article: Somnath Bej, Pradyut Ghosh|2018|Dalton Trans.|47|13408|doi:10.1039/C8DT02848F
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.cc1qc6cn
title: CCDC 1589691: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Pang,  Xiuping Lin,  Jie Yang,  Xuefeng Zhou,  Bin Yang,  Junfeng Wang,  and Yonghong Liu|2018|J.Nat.Prod.|81|1860|doi:10.1021/acs.jnatprod.8b00345
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.cc1qcd2k
title: CCDC 1589868: Experimental Crystal Structure Determination

description: Related Article: Alyssa K. Adcock, Bradley Gibbons, Jeffrey D. Einkauf, Jeffery A. Bertke, J. Faye Rubinson, Daniel T. de Lill, Karah E. Knope|2018|Dalton Trans.|47|13419|doi:10.1039/C8DT02920B
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.cc1qcd3l
title: CCDC 1589869: Experimental Crystal Structure Determination

description: Related Article: Alyssa K. Adcock, Bradley Gibbons, Jeffrey D. Einkauf, Jeffery A. Bertke, J. Faye Rubinson, Daniel T. de Lill, Karah E. Knope|2018|Dalton Trans.|47|13419|doi:10.1039/C8DT02920B
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.cc1qcd4m
title: CCDC 1589870: Experimental Crystal Structure Determination

description: Related Article: Alyssa K. Adcock, Bradley Gibbons, Jeffrey D. Einkauf, Jeffery A. Bertke, J. Faye Rubinson, Daniel T. de Lill, Karah E. Knope|2018|Dalton Trans.|47|13419|doi:10.1039/C8DT02920B
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.cc1qcd5n
title: CCDC 1589871: Experimental Crystal Structure Determination

description: Related Article: Alyssa K. Adcock, Bradley Gibbons, Jeffrey D. Einkauf, Jeffery A. Bertke, J. Faye Rubinson, Daniel T. de Lill, Karah E. Knope|2018|Dalton Trans.|47|13419|doi:10.1039/C8DT02920B
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.cc1yt0d5
title: CCDC 1811497: Experimental Crystal Structure Determination

description: Related Article: Xing Duan, Ben Yu, Ran Lv, Zhenguo Ji, Bin Li, Yuanjing Cui, Yu Yang, Guodong Qian|2018|Polyhedron|155|332|doi:10.1016/j.poly.2018.08.056
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.1410499
title: Data To "Retinal Blur From Natural Scenes And Eye Shape"

description: This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:

<strong>Maiello, G</strong>., Harrison, W. J., Vera-Diaz, F. A., & Bex, P. J. (in preparation). Retinal Blur from Natural Scenes and Eye Shape.
description: The authors do not own the range image dataset employed in this study, but these data are available upon request from Dr. Dale Purves.
DOI: 10.5517/ccdc.csd.cc1lqxfn
title: CCDC 1481782: Experimental Crystal Structure Determination

description: Related Article: Negar Rad-Yousefnia, Behrouz Shaabani, Mansoureh Zahedi, Maciej Kubicki, Muhittin Aygün, Francesc Lloret, Miguel Julve, Anita M. Grześkiewicz, Mohammad Sadegh Zakerhamidi, Canan Kazak|2018|New J.Chem.|42|15860|doi:10.1039/C8NJ02605J
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.cc1yyvh7
title: CCDC 1816150: Experimental Crystal Structure Determination

description: Related Article: Thao T. Tran, Michael A. Quintero, Kathryn E. Arpino, Zachary A. Kelly, Jessica R. Panella, Xiaoping Wang, Tyrel M. McQueen|2018|CrystEngComm|20|5929|doi:10.1039/C8CE00702K
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.cc1yyz84
title: CCDC 1816267: Experimental Crystal Structure Determination

description: Related Article: Thao T. Tran, Michael A. Quintero, Kathryn E. Arpino, Zachary A. Kelly, Jessica R. Panella, Xiaoping Wang, Tyrel M. McQueen|2018|CrystEngComm|20|5929|doi:10.1039/C8CE00702K
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.cc1yz0c9
title: CCDC 1816301: Experimental Crystal Structure Determination

description: Related Article: Negar Rad-Yousefnia, Behrouz Shaabani, Mansoureh Zahedi, Maciej Kubicki, Muhittin Aygün, Francesc Lloret, Miguel Julve, Anita M. Grześkiewicz, Mohammad Sadegh Zakerhamidi, Canan Kazak|2018|New J.Chem.|42|15860|doi:10.1039/C8NJ02605J
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.cc1z17kt
title: CCDC 1818446: Experimental Crystal Structure Determination

description: Related Article: Jiao Long, Liyang Shi, Xiong Li, Hui Lv, Xumu Zhang|2018|Angew.Chem.,Int.Ed.|57|13248|doi:10.1002/anie.201804891
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.cc1z44z7
title: CCDC 1821249: Experimental Crystal Structure Determination

description: Related Article: Guang-Hui Huang,  Zhu Hu,  Chun Lei,  Pei-Pei Wang,  Jing Yang,  Jing-Ya Li,  Jia Li,  and Ai-Jun Hou|2018|J.Nat.Prod.|81|1810|doi:10.1021/acs.jnatprod.8b00273
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: 10.6073/pasta/b08931c0292b11c3a32a02bfb425fe16
title: Demographic measures of Liatris ohlingerae (Asteraceae) in 20 populations
         across multiple habitats and time-since-fire intervals in south central Florida from 1997-2017

description: Demographic data were collected on 2,858 tagged individually marked
  plants annually from 1997 to 2017 in 20 populations across three sites
  on the southern end of the Lake Wales Ridge in south central Florida,
  USA. Our goal was to understand demographic responses including
  recruitment, survival, reproduction and mortality of individuals
  across populations, habitat types and fire-return-intervals. Habitats
  include rosemary scrub, scrubby flatwoods and human created sandy
  roadsides. Populations spanned three sites including Archbold
  Biological Station (18 populations), Florida Forest Service Arbuckle
  Tract of the Lake Wales Ridge State Forest (1 population), and Florida
  Fish and Wildlife Conservation Commission Gould Road property (1
  population). Annual demographic measures include survival (including
  plant dormancy), stage, measures of size, reproductive effort and
  herbivory. Plots were surveyed annually during flowering in August for
  previously marked plants and searched for newly recruited putative
  seedlings or previously missed larger adults. This landscape is
  managed with periodic prescribed fire impacting some populations with
  additional post-burn censuses completed after the burn. In addition,
  damage following three hurricanes in 2004 were recorded. Plants were
  followed through their lifecycle and after four years of no
  aboveground growth, plants were assumed dead and tags removed from the
  field.
DOI: 10.5281/zenodo.1410498
title: Data To "Retinal Blur From Natural Scenes And Eye Shape"

description: This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:

<strong>Maiello, G</strong>., Harrison, W. J., Vera-Diaz, F. A., & Bex, P. J. (in preparation). Retinal Blur from Natural Scenes and Eye Shape.
description: The authors do not own the range image dataset employed in this study, but these data are available upon request from Dr. Dale Purves.
DOI: 10.5281/zenodo.1410822
title: Rpsc Reference Database For Xander

description: Reference gene database (<em>rpsC</em>) for Xander (https://github.com/rdpstaff/Xander_assembler).