cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4fjhud
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 -70,100 -70,100 -60,90 -60,90 -70))"
 ]
}

 The dataset includes 37 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015907-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29287723
title: Influence of season and soil available nutrients on the biochemical and nutritional parameters of coconut (<i>Cocos nucifera</i> L.) palms

description: Coconut (<i>Cocos nucifera</i> L.) is a good source of nutrients, vitamins, fiber, proteins, and fats. The present study evaluated the influence of seasonal variations and soil nutrient availability on biochemical and nutritional parameters of different hybrids of the popular coconut palm, Ayiramkachi. The study analyzed the parameters of kernel during three seasons, the nutrient content of leaves, and the available nutrient status of the soil before and after fertilizer application. The hybrid palms selected from the Tall x Ayiramkachi, Ayiramkachi x Tall, Dwarf x Ayiramkachi, and Ayiramkachi x Dwarf crosses were analyzed in this study. The results revealed significant differences in all the biochemical parameters except vitamin A among the hybrids. The hybrids generated using Ayiramkachi as female parent recorded the highest oil, lauric acid, aspartic acid, lysine, serine, and vitamin B<sub>6</sub> levels, whereas those generated using Ayiramkachi as male parent recorded the highest myristic acid, palmitic acid, vitamin B<sub>1</sub>, B<sub>3</sub>, and B<sub>5</sub> levels. Besides, the study showed that coconuts collected during the third harvest in April recorded maximum fatty acid content, while those collected during the first harvest in December contained maximum oil and amino acid content in the kernel. The nuts collected during the third harvest also recorded high nutrient levels in the kernel. Additionally, Ayiramkachi as a female parent resulted in high leaf calcium, whereas Ayiramkachi as a male parent resulted in high leaf magnesium, sulfur, and zinc. The analysis of soil nutrient status revealed that balanced fertilizer application enhances the nutritional quality of coconuts.
DOI: 10.6084/m9.figshare.29287723.v1
title: Influence of season and soil available nutrients on the biochemical and nutritional parameters of coconut (<i>Cocos nucifera</i> L.) palms

description: Coconut (<i>Cocos nucifera</i> L.) is a good source of nutrients, vitamins, fiber, proteins, and fats. The present study evaluated the influence of seasonal variations and soil nutrient availability on biochemical and nutritional parameters of different hybrids of the popular coconut palm, Ayiramkachi. The study analyzed the parameters of kernel during three seasons, the nutrient content of leaves, and the available nutrient status of the soil before and after fertilizer application. The hybrid palms selected from the Tall x Ayiramkachi, Ayiramkachi x Tall, Dwarf x Ayiramkachi, and Ayiramkachi x Dwarf crosses were analyzed in this study. The results revealed significant differences in all the biochemical parameters except vitamin A among the hybrids. The hybrids generated using Ayiramkachi as female parent recorded the highest oil, lauric acid, aspartic acid, lysine, serine, and vitamin B<sub>6</sub> levels, whereas those generated using Ayiramkachi as male parent recorded the highest myristic acid, palmitic acid, vitamin B<sub>1</sub>, B<sub>3</sub>, and B<sub>5</sub> levels. Besides, the study showed that coconuts collected during the third harvest in April recorded maximum fatty acid content, while those collected during the first harvest in December contained maximum oil and amino acid content in the kernel. The nuts collected during the third harvest also recorded high nutrient levels in the kernel. Additionally, Ayiramkachi as a female parent resulted in high leaf calcium, whereas Ayiramkachi as a male parent resulted in high leaf magnesium, sulfur, and zinc. The analysis of soil nutrient status revealed that balanced fertilizer application enhances the nutritional quality of coconuts.
DOI: 10.15468/dl.zh93p5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 70,160 70,160 80,150 80,150 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015909-251009101135966/datasets/export for details.
DOI: 10.15468/dl.uyvxay
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((140 70,150 70,150 80,140 80,140 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015911-251009101135966/datasets/export for details.
DOI: 10.15468/dl.wf5vj8
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((100 -70,110 -70,110 -60,100 -60,100 -70))"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015914-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajvwbq
title: Occurrence Download

description: A dataset containing 23325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.50801 24.18546,-104.17812 24.18546,-104.17812 24.71703,-105.50801 24.71703,-105.50801 24.18546))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23325 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015913-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g38y7e
title: Occurrence Download

description: A dataset containing 2171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.86618 25.45169,-103.96214 25.45169,-103.96214 25.81330,-104.86618 25.81330,-104.86618 25.45169))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2171 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015915-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6ex8v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((130 70,140 70,140 80,130 80,130 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015918-251009101135966/datasets/export for details.
DOI: 10.15468/dl.gggwt9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Typhonium roxburghii",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015916-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96pugf
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -70,130 -70,130 -60,120 -60,120 -70))"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015919-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnhgkw
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((110 -70,120 -70,120 -60,110 -60,110 -70))"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015917-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xxeuk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 70,130 70,130 80,120 80,120 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015920-251009101135966/datasets/export for details.
DOI: 10.5255/ukda-sn-7539-3
title: English Housing Survey: Fuel Poverty Dataset, 2012
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey: Fuel Poverty Dataset, 2012&lt;/i&gt; is derived from the 2012 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2011 and March 2013. The midpoint of this period is April 2012, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2012. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel. &lt;br&gt;
&lt;br&gt;
For the third edition (October 2015), revised data files and documentation were deposited.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-7824-1
title: English Housing Survey: Fuel Poverty Dataset, 2003
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey, 2003: Fuel Poverty Dataset&lt;/i&gt; is derived from the 2003 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2002 and March 2004. The midpoint of this period is April 2003, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2003. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-7825-1
title: English Housing Survey: Fuel Poverty Dataset, 2004
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey, 2004: Fuel Poverty Dataset&lt;/i&gt; is derived from the 2004 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2003 and March 2005. The midpoint of this period is April 2004, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2004. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-7826-1
title: English Housing Survey: Fuel Poverty Dataset, 2005
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey, 2005: Fuel Poverty Dataset&lt;/i&gt; is derived from the 2005 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2004 and March 2006. The midpoint of this period is April 2005, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2005. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-7827-1
title: English Housing Survey: Fuel Poverty Dataset, 2006
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey, 2006: Fuel Poverty Dataset&lt;/i&gt; is derived from the 2006 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2005 and March 2007. The midpoint of this period is April 2006, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2006. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-7828-1
title: English Housing Survey: Fuel Poverty Dataset, 2007
title: English Housing Survey: Fuel Poverty Datasets, 2003-
title: EHS

description: &lt;p&gt;The English Housing Survey (EHS) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. &lt;/p&gt;&lt;p&gt;&lt;i&gt;Safeguarded and Special Licence Versions &lt;/i&gt;&lt;i&gt;&lt;br&gt;&lt;/i&gt;Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the Safeguarded Licence (previously known as End User Licence (EUL)) version first to see whether it meets their needs, before making an application for the Special Licence version. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt; The &lt;i&gt;English Housing Survey, 2007: Fuel Poverty Dataset&lt;/i&gt; is derived from the 2007 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2006 and March 2008. The midpoint of this period is April 2007, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2007. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.&lt;br&gt;
&lt;br&gt;