cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1492140
title: Global and regional glacier mass changes from 1961 to 2016

description: Supplementary data tables with the results from Zemp et al. (2019) entitled "<em><strong>Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016</strong></em>", Nature: <strong>Data Tables 1a-t | Temporal variabilities for glaciological clusters based on variance decomposition model. </strong>Annual results are made available as csv-files for all 20 cluster: Zemp_etal_results_clusters.zip <strong>Data Tables 2a-t | Regional and global mass balance and mass change results from 1961-2016. </strong>Annual results are made available as csv-files for all 19 regions (cf. RGI 6.0) as well as for the global sum: Zemp_etal_results_regions_global.zip <strong>Data Table 3 | Glacier mass changes for Central Europe from 1961-2016. </strong>Annual results as in Data Table 2 but with examples for multi-year error calculations are made available as Excel-file: Zemp_etal_results_region-CEU_errorcalcs.xlsx <strong>Note</strong>: The corresponding full sample of glaciological and geodetic observations for individual glaciers are publicly available from the World Glacier Monitoring Service: http://doi.org/10.5904/wgms-fog-2018-11 <strong>Version 1.1</strong><br> This version provides the results from the glaciological clusters (Data Tables 1a-t) as used by Zemp et al. (2019). In addition, it contains corrected results for region Iceland (Data Table 2, region_6_ISL) and correspondingly for the global sum (Data Table 2, global); the results for the other regions remain unchanged. For more details on the correction of the regional results for Iceland, see Zemp et al. (2019, Nature), Author Correction. <strong>Version 1.0</strong><br> Data tables containing the results for the 20 glaciological clusters (Data Tables 1a-t) as well as for the 19 regions and global sums (Data Tables 2a-t) related to the publication by Zemp et al. (2019, Nature). We note that this version erroneously contains pre-release versions of results for most of the glaciological clusters that were not used in Zemp et al. (2019, Nature).
description: {"references": ["Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S.U., G\u00e4rtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J.G. (2019): Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016. Nature, http://dx.doi.org/10.1038/s41586-019-1071-0"]}
DOI: 10.5281/zenodo.1492141
title: Global and regional glacier mass changes from 1961 to 2016

description: Supplementary data tables with the results from Zemp et al. (2019) entitled "<em><strong>Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016</strong></em>", Nature:

<strong>Data Tables 1a-t | Temporal variabilities for glaciological clusters based on variance decomposition model. </strong>Annual results are made available as csv-files for all 20 cluster: Zemp_etal_results_clusters.zip

<strong>Data Tables 2a-t | Regional and global mass balance and mass change results from 1961-2016. </strong>Annual results are made available as csv-files for all 19 regions (cf. RGI 6.0) as well as for the global sum: Zemp_etal_results_regions_global.zip

<strong>Data Table 3 | Glacier mass changes for Central Europe from 1961-2016. </strong>Annual results as in Data Table 2 but with examples for multi-year error calculations are made available as Excel-file: Zemp_etal_results_region-CEU_errorcalcs.xlsx

<strong>Note</strong>: The corresponding full sample of glaciological and geodetic observations for individual glaciers are publicly available from the World Glacier Monitoring Service: http://doi.org/10.5904/wgms-fog-2018-11
description: {"references": ["Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S.U., G\u00e4rtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J.G. (2019): Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016. Nature, http://dx.doi.org/10.1038/s41586-019-1071-0"]}
DOI: 10.17037/data.00000993
title: Clinical code list - Dementia

description: Read codes for dementia. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000994
title: Clinical code list - Dementia symptoms

description: Read codes for dementia symptoms. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000995
title: Clinical code list - Diabetes

description: Read codes for diabetes. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00001001
title: ICD-10 code list - Terminal illness

description: ICD-10 codes related to terminal illness. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.5445/ir/1000089000
title: In-situ micro-CT scan of a carrot disc during freeze-drying

description: Über den Ablauf einer Gefriertrocknung auf Mycrometerebene gibt es bislang nur modellhafte Vorstellungen. Über einen speziellen Versuchsaufbau ist es nun möglich, Mycro-CT-Messungen während der Gefriertrocknung durchzuführen. In den gezeigten Daten wurde eine gefrorene Karottenscheibe in einen vakuumfesten, runden Plexiglascontainer gelegt, mittels einer drehbaren Absaugung evakuiert und an der Topo/Tomo-Beamline des IPS mit Synchrotronstrahlung gescannt. Dadurch konnte in einem Abstand von 5 Minuten die Porenstruktur der Karottenscheibe visualisiert werden. Auch die Unterschiede zwischen mit Eis gefüllten Poren und schon leeren, getrockneten Poren konnten aufgelöst werden. Dies macht es möglich, den Verlauf einer Gefriertrocknung zu verfolgen und nachzuvollziehen.
DOI: 10.17037/data.00000984
title: Clinical code list - Carer codes

description: Read codes that cover different types of carer. Categories covered include people who care for a person with learning disability, physical disability, sensory impairment, substance misuse, alcohol misuse, chronic disease, mental health problem, terminal illness, and others. This file support a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000985
title: Clinical code list - Charlson Comorbidity codes

description: Read codes for Charlson score. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000989
title: Clinical code list - Depression

description: Read codes related to depression. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000990
title: Clinical code list - Smoking use

description: Read codes related to smoking. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000996
title: ICD-10 codes - Diabetes

description: ICD-10 codes for diabetes. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000997
title: Therapy code list - diabetes drugs

description: BNF codes for diabetes treatment products. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00001002
title: Clinical code list - Terminal illness

description: Read codes related to terminal illness. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000986
title: ICD-10 codes - Charlson Comorbidity

description: ICD-10 codes for Charlson Comorbidity codes. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000987
title: Clinical code list - OPCS Charlson Comorbidity codes

description: OPCS codes for Charlson score. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000988
title: Clinical code list - Alcohol use codes

description: Read codes for alcohol status, covering non-drinker, current drinker, and ex-drinker. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000991
title: Clinical code list - acute cardiovascular events

description: Read codes on acute cardiovascular events (MI and Stroke). This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000992
title: ICD-10 codes for acute cardiovascular events

description: ICD-10 codes on acute cardiovascular events (MI and Stroke). This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000998
title: Clinical code list - hearing loss

description: Clinical codes related to hearing loss. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00000999
title: ICD-10 codes - dementia

description: Clinical code list for dementia. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.17037/data.00001000
title: Clinical code list - Hypertension

description: Clinical code list related to hypertension. This file supports a publication titled "The relationship between partner bereavement and the first diagnosis of dementia".
DOI: 10.21421/d2/obdilo
title: Micro level household survey data of rainfall for generation - 2 in Telangana state during 2001-2014
DOI: 10.21421/d2/ncrpjz
title: Micro level household survey data of live stock economics for generation - 2 in Telangana state during 2001-2014
DOI: 10.5281/zenodo.2536800
title: RepLab Summarization Dataset

description: <strong>RepLab Summarization Dataset</strong>

This package contains the dataset generated in the research published in the paper:

"Javier Rodríguez-Vidal, Jorge Carrillo-de-Albornoz, Enrique Amigó, Laura Plaza, Julio Gonzalo and Felisa Verdejo. 2019. Automatic Generation of Entity-Oriented Summaries for Reputation Management. Ambient Intelligence & Humanized Computing."

The dataset is available for research purpose. If you use it, please, cite us.

This README file contains: 

1) A brief description of the corpus<br>
2) A description of the contents of each directory in this package.

<br>
<strong><em>1. Description of RepLab Summarization Dataset</em></strong>

<br>
The RepLab summarization dataset contains companies data from the RepLab 2013 dataset (http://nlp.uned.es/replab2013/), where users from Twitter talk about different topics of the companies. <br>
Each topic consists of a different number of tweets posted by Twitter users.

The collection comprises tweets about 31 entities from two domains: automotive and banking. As a result, our subset of RepLab 2013 comprises 71,303 English and Spanish tweets

For each entity, tweets are groupped in topics and for each topic three different summaries are manually generated: abstractive english, abstractive spanish and extractive.

Please see the paper for further details.

 

<strong><em>2. Description of the contents of this package</em></strong>

./entities:

This directory includes the information of each organization in order to create a summary. Each .xml file corresponds to an entity and includes the following information:

     -”Corpus entity”: Id of the entity.<br>
     -”cluster”: each one of the topics of the entity.<br>
        -"label": name of the topic.<br>
        -"priority": level of relevance of the topic: Alert (the highest priority being a reputation alert, i.e., an issue that requires an immediate response from the entity), Midly_important (relevant for the entity, an intermediate priority)<br>
                     or unimportant (the lowest priority).     <br>
        -”tweet”: Information about the tweets.<br>
            -"id": Id of the tweet.<br>
            -"date": When the tweet was written.<br>
            -"followers": Of the author of the tweet.<br>
            -"polarity": Of the tweet.<br>
            -"text": Text of the tweet.<br>
        -"summary": Information about the summary:<br>
            -"abstract_EN": Abstractive summary in English.<br>
            -"abstract_ES": Abstractive summary in Spanish.<br>
            -"tweet": Id of the tweet(s) selected for the extractive summary (if it is not filled, the extractive summary is the one of the tweets in the topic).
DOI: 10.5281/zenodo.2536801
title: RepLab Summarization Dataset

description: <strong>RepLab Summarization Dataset</strong>

This package contains the dataset generated in the research published in the paper:

"Javier Rodríguez-Vidal, Jorge Carrillo-de-Albornoz, Enrique Amigó, Laura Plaza, Julio Gonzalo and Felisa Verdejo. 2019. Automatic Generation of Entity-Oriented Summaries for Reputation Management. Ambient Intelligence & Humanized Computing."

The dataset is available for research purpose. If you use it, please, cite us.

This README file contains: 

1) A brief description of the corpus<br>
2) A description of the contents of each directory in this package.

<br>
<strong><em>1. Description of RepLab Summarization Dataset</em></strong>

<br>
The RepLab summarization dataset contains companies data from the RepLab 2013 dataset (http://nlp.uned.es/replab2013/), where users from Twitter talk about different topics of the companies. <br>
Each topic consists of a different number of tweets posted by Twitter users.

The collection comprises tweets about 31 entities from two domains: automotive and banking. As a result, our subset of RepLab 2013 comprises 71,303 English and Spanish tweets

For each entity, tweets are groupped in topics and for each topic three different summaries are manually generated: abstractive english, abstractive spanish and extractive.

Please see the paper for further details.

 

<strong><em>2. Description of the contents of this package</em></strong>

./entities:

This directory includes the information of each organization in order to create a summary. Each .xml file corresponds to an entity and includes the following information:

     -”Corpus entity”: Id of the entity.<br>
     -”cluster”: each one of the topics of the entity.<br>
        -"label": name of the topic.<br>
        -"priority": level of relevance of the topic: Alert (the highest priority being a reputation alert, i.e., an issue that requires an immediate response from the entity), Midly_important (relevant for the entity, an intermediate priority)<br>
                     or unimportant (the lowest priority).     <br>
        -”tweet”: Information about the tweets.<br>
            -"id": Id of the tweet.<br>
            -"date": When the tweet was written.<br>
            -"followers": Of the author of the tweet.<br>
            -"polarity": Of the tweet.<br>
            -"text": Text of the tweet.<br>
        -"summary": Information about the summary:<br>
            -"abstract_EN": Abstractive summary in English.<br>
            -"abstract_ES": Abstractive summary in Spanish.<br>
            -"tweet": Id of the tweet(s) selected for the extractive summary (if it is not filled, the extractive summary is the one of the tweets in the topic).
DOI: 10.6073/pasta/03e42c57f7abd6b196b7850bf86088b8
title: Foliar nitrogen at the Hubbard Brook Experimental Forest
    and surrounding areas in the White Mountains, NH,
    2004-2014

description: This data set includes foliar nitrogen content of leaf
      samples collected at Hubbard Brook Experimental Forest and on
      two additional plots within the White Mountain National
      Forest from 2004-2014.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/721fff3446b2e4efdeb60420a02918f2
title: Longitudinal Stream Chemistry at the Hubbard Brook
    Experimental Forest, Watershed 1, 1991 - present.

description: Longitudinal variation in streamwater chemistry has
      been measured in two watersheds (W1 and W6) at the Hubbard
      Brook Experimental Forest. This dataset includes samples that
      have been collected approximately monthly in Watershed 1 at
      five sampling locations (1991 – present) along an elevational
      gradient. Samples are analyzed for pH, ANC, anions, cations,
      nitrogen, dissolved inorganic and organic carbon.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/8311805a33b5d44597d79d2bdf9ddd03
title: Forest Inventory of a Whole Tree Harvest: Hubbard Brook
    Experimental Forest Watershed 5, 2009, 25 years
    post-harvest

description: A whole-tree harvest was conducted during the dormant
    season of 1983-1984 in order to assess ecosystem response to
    whole-tree logging operations. Pre-harvest forest inventory
    surveys were conducted in 1982 on the whole of the watershed.
    Post-harvest surveys were conducted in 1990, 1994 and every 5
    years thereafter. This dataset was collected in summer of 2009.
    Survey methods differed between years due to the variability 
    These data were gathered as part of the Hubbard Brook
    Ecosystem Study (HBES). The HBES is a collaborative effort at
    the Hubbard Brook Experimental Forest, which is operated and
    maintained by the USDA Forest Service, Northern Research
    Station.
DOI: 10.6073/pasta/71342b522c20ccb7017cdf930ddfa0e4
title: Health and mycorrhizal colonization response of sugar
    maple (Acer saccharum) seedlings to calcium addition in
    Watershed 1 at the Hubbard Brook Experimental Forest

description: We examined the health and mycorrhizal colonization
      rates of sugar maple germinants on a Calcium (Ca)- treated
      watershed at Hubbard Brook Experimental Forest and compared
      their status to the health of seedlings growing on reference
      sites. We quantified general sugar maple germinant health by
      height, leaf area, biomass, and chlorophyll content. To
      determine vesicular-arbuscular mycorrhizal colonization
      rates, we first cleared and stained germinant roots and then
      examined their structures microscopically. We found that
      sugar maple seedlings on the Ca-addition site were taller,
      had larger leaves, more root, leaf, and stem biomass, and
      more chlorophyll per unit leaf area. These seedlings also had
      a significantly larger percentage of their roots colonized by
      mycorrhizal fungi. Our results indicate a correlation between
      soil Ca availability, mycorrhizal colonization rates, and
      overall seedling health.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/baa9fdeb28fdd6230b1c13367877c348
title: Net N mineralization in the MELNHE study at Hubbard
    Brook Experimental Forest, Bartlett Experimental Forest and
    Jeffers Brook, central NH USA, 2008 - present

description: The Multiple Element Limitation in Northern Hardwood
      Ecosystems (MELNHE) project studies N and P acquisition and
      limitation through a series of nutrient manipulations in
      northern hardwood forests. This data set includes net N
      mineralization measured in Oe, Oa, and mineral soil horizons
      in all 13 of the MELNHE study sites. Samples are collected
      every several years, beginning with pretreatment (2008 and
      2009) through 2014, representing 3 years of N and P
      fertilization.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/7cb409a8e588e6959802cdf173b8fe69
title: Forest Inventory of the DroughtNet plots at the Hubbard
    Brook Experimental Forest

description: A throughfall removal manipulation is being carried out
      within a beech, birch and maple forest stand at Hubbard Brook
      Experimental Forest as part of the Northern Forest DroughtNet
      project, in collaboration with Climate Change Across Seasons
      Experiment (CCASE). Two 15 x 15 m plots have a series of
      troughs covering 50% of the surface area to remove
      throughfall and reduce soil moisture, in order to simulate a
      1st percentile drought based on the long term meteorological
      record. DBH measurements were recorded for all trees &gt; 10
      cm DBH beginning in spring of 2014, and remeasured annually.
      Drought and control plots will be compared to determine the
      effect of reduced soil moisture availability on tree growth.
      This dataset includes measurements from 2014.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/b6c275a39b53b27779be80c6e8d009b8
title: Soil properties in the MELNHE study at Hubbard Brook
    Experimental Forest, Bartlett Experimental Forest and Jeffers
    Brook, central NH USA, 2009 - present

description: The Multiple Element Limitation in Northern Hardwood
      Ecosystems (MELNHE) project studies N and P acquisition and
      limitation through a series of nutrient manipulations in
      northern hardwood forests. This data set includes soil
      properties measured in Oe, Oa, and mineral soil horizons in
      all 13 of the MELNHE study sites in 2009
      (pre-treatment).
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/ea62d22bc9275e1dee229a7e72d9e378
title: Nitrate concentrations and 18O signal of Streamwater at
    the Hubbard Brook Experimental Forest, Watershed 6 2008

description: This data set includes streamwater analysis of 18
      Oxygen isotopes in nitrate in daily samples from watershed 6
      during the spring of 2008.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.
DOI: 10.6073/pasta/1a3b9865e66fc0975685d8b6f0ee7a5c
title: Nitrate concentration and 15N signal of Streamwater and
    Precipitation from Archived Samples: Watershed 3

description: This data set includes the analysis of 18 Oxygen
      isotopes in precipitation and streamwater archived samples
      from watershed 3.
      These data were gathered as part of the Hubbard Brook
      Ecosystem Study (HBES). The HBES is a collaborative effort at
      the Hubbard Brook Experimental Forest, which is operated and
      maintained by the USDA Forest Service, Northern Research
      Station.