cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5676/dwd_gpcc/clim_m_v2018_050
title: GPCC Precipitation Climatology Version 2018 at 0.5°: Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historic Data
title: Globally Gridded Monthly Totals

description: The new Global Precipitation Climatology is focussing on the period 1951-2000 and consists of data from ca. 80,000 stations.
			The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time-series of monthly data (with at least 10 complete years of data) available in our data base.
			In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods 1961-1990, 1951-1980 or 1971-2000 with at least 20 years of data.
			If even this was not possible for a station, then normals have been calculated for the period 1931-1960, or for any other period with at least 10 complete years of data.
			This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°.
			This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest.
			All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.5676/dwd_gpcc/clim_m_v2018_100
title: GPCC Precipitation Climatology Version 2018 at 1.0°: Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historic Data
title: Globally Gridded Monthly Totals

description: The new Global Precipitation Climatology is focussing on the period 1951-2000 and consists of data from ca. 80,000 stations.
			The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time-series of monthly data (with at least 10 complete years of data) available in our data base.
			In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods 1961-1990, 1951-1980 or 1971-2000 with at least 20 years of data.
			If even this was not possible for a station, then normals have been calculated for the period 1931-1960, or for any other period with at least 10 complete years of data.
			This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°.
			This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest.
			All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.5517/ccdc.csd.cc1zlc97
title: CCDC 1834899: Experimental Crystal Structure Determination

description: Related Article: Trevor D. Lohrey, Robert G. Bergman, John Arnold|2018|Organometallics|37|3552|doi:10.1021/acs.organomet.8b00238
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.cc1zm54x
title: CCDC 1835669: Experimental Crystal Structure Determination

description: Related Article: Tao-Yan Lin, Hai-Hong Wu, Jian-Jun Feng, Junliang Zhang|2018|Org.Lett.|20|3587|doi:10.1021/acs.orglett.8b01378
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.cc1zmcsr
title: CCDC 1835875: Experimental Crystal Structure Determination

description: Related Article: Julio Zamora-Moreno, Fernando Murillo, Miguel A. Muñoz-Hernández, Mary Grellier, Sudip Pan, Said Jalife, Gabriel Merino, Sylviane Sabo-Etienne, Virginia Montiel-Palma|2018|Organometallics|37|3581|doi:10.1021/acs.organomet.8b00269
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.cc1zmtgw
title: CCDC 1836299: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmthx
title: CCDC 1836300: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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: 10.5676/dwd_gpcc/clim_m_v2018_250
title: GPCC Precipitation Climatology Version 2018 at 2.5°: Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historic Data
title: Globally Gridded Monthly Totals

description: The new Global Precipitation Climatology is focussing on the period 1951-2000 and consists of data from ca. 80,000 stations.
			The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time-series of monthly data (with at least 10 complete years of data) available in our data base.
			In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods 1961-1990, 1951-1980 or 1971-2000 with at least 20 years of data.
			If even this was not possible for a station, then normals have been calculated for the period 1931-1960, or for any other period with at least 10 complete years of data.
			This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°.
			This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest.
			All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.7265/n5pn93tv
title: NOAA Polar-Orbiting Operational Environmental Satellites (POES) Global Visible and Infrared Band Data from ESSA (1966 - 1972) and NOAA (1972 - 1978) Satellites
DOI: 10.5281/zenodo.1287629
title: Investigating Attitudinal Ambivalence via Sequential Priming:  Evidence for the Simultaneous and Unintentional Activation of Opposite Evaluations

description: This research tested a central assumption of attitudinal ambivalence research: ambivalent attitude objects simultaneously trigger positive and negative evaluations. It further specifies at which stage this activation is likely to produce an evaluative conflict. Experiments 1 to 3 involved two evaluative priming paradigms, in which ambivalent stimuli served either as primes or as targets. The <em>Ambivalent Primes Paradigm</em> tested the degree to which the concurrent and unintentional activation of positivity and negativity influences responding to univalent targets. The <em>Ambivalent Targets Paradigm</em> tested the degree to which ambivalent targets entail an evaluative response conflict irrespective of prime valence. Experiments 1 and 2 revealed slower responses for ambivalent trials compared to congruent trials in both paradigms. Employing a longer stimulus onset asynchrony, Experiment 3 attested to the short-lived nature of the joint activation of opposite evaluations triggered by ambivalent primes. In contrast, the deliberate categorization of ambivalent targets was not affected by this procedural variation. Finally, by relying on a valent/neutral categorization task, Experiments 4 and 5 indicate that conflicts triggered by ambivalent stimuli occur at the response selection rather than the exposure stage. Our findings lend original empirical support to the assumption that positivity and negativity are activated simultaneously and unintentionally in ambivalent attitude objects. Moreover, the present research suggests that ambivalence generates a conflict only if the task at hand requires a univalent categorization. We discuss the extent to which the activation of ambivalent attitudes may be automatic and the implications of our findings for dual-process models of attitudes.
description: This work was supported by an Emmy Noether grant from the German Research Foundation awarded to Mandy Hütter (HU 1978/4-1)
DOI: 10.5281/zenodo.1287630
title: Investigating Ambivalence Via Sequential Priming:  A Window To Ambivalent Attitude Structure

description: This research tested a central assumption of attitudinal ambivalence research: ambivalent attitude objects simultaneously trigger positive and negative evaluations. In the first three experiments, all participants completed two evaluative priming paradigms, in which ambivalent stimuli served either as primes or as targets. Whereas the <em>ambivalent primes paradigm</em> tested the degree to which the concurrent and unintentional activation of positivity and negativity influences responding to univalent targets, the <em>ambivalent targets paradigm</em> tested the degree to which ambivalent targets entail an evaluative response conflict irrespective of prime valence. Experiments 1 and 2 revealed slower responses for ambivalent trials compared to congruent trials in both paradigms. By employing a longer stimulus onset asynchrony, Experiment 3 attested to the short-lived nature of the joint activation of opposite valences triggered by ambivalent primes. As expected, the deliberate categorization of ambivalent targets was not affected by this procedural variation. Experiment 4 relied on a valent/neutral categorization task and suggests that the conflict triggered by ambivalent stimuli occurs at the response expression rather than the exposure stage. Our findings lend original empirical support to the assumption that positivity and negativity are activated simultaneously and unintentionally in ambivalent attitude objects. Moreover, the present research suggests that ambivalence generates a conflict only if the task at hand requires a univalent categorization. We discuss the extent to which the activation of ambivalent attitudes may be automatic and the implications of our findings for dual-process models of attitudes.
description: This work was supported by an Emmy Noether grant from the German Research Foundation awarded to Mandy Hütter (HU 1978/4-1)
DOI: 10.5517/ccdc.csd.cc1zmtjy
title: CCDC 1836301: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtkz
title: CCDC 1836302: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtl0
title: CCDC 1836303: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtm1
title: CCDC 1836304: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtn2
title: CCDC 1836305: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtp3
title: CCDC 1836306: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtq4
title: CCDC 1836307: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zmtr5
title: CCDC 1836308: Experimental Crystal Structure Determination

description: Related Article: Alasdair I. McKay, Antonio J. Martínez-Martínez, Hannah J. Griffiths, Nicholas H. Rees, Jordan B. Waters, Andrew S. Weller, Tobias Krämer, Stuart A. Macgregor|2018|Organometallics|37|3524|doi:10.1021/acs.organomet.8b00215
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.cc1zn15v
title: CCDC 1836507: Experimental Crystal Structure Determination

description: Related Article: Shuguang Zhou, Bi-Wei Yan, Shuai-Xin Fan, Jie-Sheng Tian, Teck-Peng Loh|2018|Org.Lett.|20|3975|doi:10.1021/acs.orglett.8b01540
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/0fdb3ec8957f2a68575c32afc87be03d
title: Experimentally evaluating effects of postfire drought on establishment, growth and survival of two widespread western conifer species; lodgepole pine and Douglas-fir (greenhouse portion of experiment)

description: This research seeks to understand how drought following wildfires
  affects the establishment of two widespread Rocky Mountain tree
  species, lodgepole pine and Douglas-fir. In Yellowstone National Park,
  warming, drying conditions are leading to increased frequency of
  severe wildfires that kill existing trees and trigger regeneration of
  the forest. These trends are expected to continue. Many tree species
  in Yellowstone are well adapted to fire. Yet, early and abundant
  seedling establishment after fire is critical for forests to recover.
  Tree seedlings are particularly sensitive to drought, and evidence
  suggests that sufficiently dry postfire conditions could cause
  widespread tree-seedling mortality, with ecological consequences that
  may last decades. This research will determine how seedlings from two
  tree species respond to drought conditions expected in the mid-21st
  century and will identify the physiological mechanisms that drive
  seedling response to dry conditions. The results of this study will
  advance understanding of how forests in the western United States will
  respond to environmental change over coming decades and provide useful
  information for western land managers who are grappling with increased
  wildfires.
DOI: 10.5517/ccdc.csd.cc1zndvw
title: CCDC 1836869: Experimental Crystal Structure Determination

description: Related Article: Madhusudan K. Pandey, Joel T. Mague, Maravanji S. Balakrishna|2018|Inorg.Chem.|57|7468|doi:10.1021/acs.inorgchem.8b01095
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.cc1zndwx
title: CCDC 1836870: Experimental Crystal Structure Determination

description: Related Article: Madhusudan K. Pandey, Joel T. Mague, Maravanji S. Balakrishna|2018|Inorg.Chem.|57|7468|doi:10.1021/acs.inorgchem.8b01095
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.