cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8m68sr
title: Occurrence Download

description: A dataset containing 6238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus albicaulis Engelm.",
 "Year 2000-2024"
 ]
}

 The dataset includes 6238 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019429-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk5ncr
title: Occurrence Download

description: A dataset containing 5831 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Hylobius abietis (C.Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 5831 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019428-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cubsus
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptocoris tagalicus Burmeister, 1834"
 ]
}

 The dataset includes 212 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019430-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk494y
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pissodes validirostris Gyllenhal, 1835",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 158 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019431-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3b69gb
title: Occurrence Download

description: A dataset containing 1680 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontophrynus americanus (Duméril & Bibron, 1841)"
 ]
}

 The dataset includes 1680 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019432-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qq2jz
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Trachodes hispidus (C.Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 578 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019433-241007104925546/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.27247093
title: Sectoral dynamics and environmental quality in Côte d‘Ivoire: assessing the impact of structural transformation

description: As global consumption patterns continue to exert unprecedented pressure on ecological systems, the urgent need for sustainable development frameworks has become increasingly evident. This study explores the critical intersection of structural transformation and environmental quality within the context of Côte d‘Ivoire, as the country navigates its National Development Plan aimed at structural transformation. Specifically, this research explores how structural changes across the agricultural, industrial, and service sectors impact environmental quality in Côte d‘Ivoire. Employing a Nonlinear Autoregressive Distributed Lag (NARDL) model, it investigates the asymmetric effects of sectoral contributions to the Gross Domestic Product (GDP) on the ecological footprint, distinguishing between positive and negative shocks during the period 1961–2021. The findings reveal that positive changes in the agricultural sector’s share reduce the ecological footprint by 0.222% in the long term, with no significant short-term impact. Conversely, a 1% negative shock in the sector results in a 0.391% increase in the ecological footprint in the short term. For the industrial sector, a 1% increase in its share leads to a 0.178% reduction in the ecological footprint over the long term, while negative shocks show no significant impact. The service sector demonstrates a positive environmental outcome, where a 1% increase in value-added reduces the ecological footprint by 0.368% in the long term and by 0.288% in the short term. For policymakers, these results highlight the importance of promoting sustainable practices within the agricultural and industrial sectors to achieve long-term environmental goals in Côte d’Ivoire. These results are critical for the implementation of Côte d‘Ivoire’s National Development Plan, which emphasizes the important role of agriculture and industry in its economic transformation, while addressing environmental sustainability. This study provides important understanding into the relationship between structural transformation and environmental quality in Côte d’Ivoire. The research reveals how sectoral shifts in the agricultural, industrial, and service sectors influence the country’s ecological footprint, with a focus on the asymmetric effects of these shifts on environmental outcomes. The findings show that while the agricultural and industrial sectors can reduce the ecological footprint over the long term, negative short-term impacts can arise from rapid sectoral changes, particularly in agriculture. A growing service sector appears to have positive environmental contributions. These results are particularly relevant for Côte d’Ivoire’s policymakers, emphasizing the need to adopt sustainable practices across key sectors to balance economic growth with environmental sustainability. They also highlight the importance of promoting green growth strategies and aligning sector-specific policies with the country’s long-term environmental objectives.
DOI: 10.6084/m9.figshare.27247093.v1
title: Sectoral dynamics and environmental quality in Côte d‘Ivoire: assessing the impact of structural transformation

description: As global consumption patterns continue to exert unprecedented pressure on ecological systems, the urgent need for sustainable development frameworks has become increasingly evident. This study explores the critical intersection of structural transformation and environmental quality within the context of Côte d‘Ivoire, as the country navigates its National Development Plan aimed at structural transformation. Specifically, this research explores how structural changes across the agricultural, industrial, and service sectors impact environmental quality in Côte d‘Ivoire. Employing a Nonlinear Autoregressive Distributed Lag (NARDL) model, it investigates the asymmetric effects of sectoral contributions to the Gross Domestic Product (GDP) on the ecological footprint, distinguishing between positive and negative shocks during the period 1961–2021. The findings reveal that positive changes in the agricultural sector’s share reduce the ecological footprint by 0.222% in the long term, with no significant short-term impact. Conversely, a 1% negative shock in the sector results in a 0.391% increase in the ecological footprint in the short term. For the industrial sector, a 1% increase in its share leads to a 0.178% reduction in the ecological footprint over the long term, while negative shocks show no significant impact. The service sector demonstrates a positive environmental outcome, where a 1% increase in value-added reduces the ecological footprint by 0.368% in the long term and by 0.288% in the short term. For policymakers, these results highlight the importance of promoting sustainable practices within the agricultural and industrial sectors to achieve long-term environmental goals in Côte d’Ivoire. These results are critical for the implementation of Côte d‘Ivoire’s National Development Plan, which emphasizes the important role of agriculture and industry in its economic transformation, while addressing environmental sustainability. This study provides important understanding into the relationship between structural transformation and environmental quality in Côte d’Ivoire. The research reveals how sectoral shifts in the agricultural, industrial, and service sectors influence the country’s ecological footprint, with a focus on the asymmetric effects of these shifts on environmental outcomes. The findings show that while the agricultural and industrial sectors can reduce the ecological footprint over the long term, negative short-term impacts can arise from rapid sectoral changes, particularly in agriculture. A growing service sector appears to have positive environmental contributions. These results are particularly relevant for Côte d’Ivoire’s policymakers, emphasizing the need to adopt sustainable practices across key sectors to balance economic growth with environmental sustainability. They also highlight the importance of promoting green growth strategies and aligning sector-specific policies with the country’s long-term environmental objectives.
DOI: 10.18150/h0ylyu
title: Raw data for publication "The effect of coffee husks used as pellet bedding material on the intestinal barrier, immune-related gene expression and microbiota composition in the broiler chicken caecum"

description: Using coffee husks as bedding material is a sustainable choice that also benefits poultry. A study examined the expression of immune-related genes in the intestinal mucosa and indicator bacteria in the caecal content of broiler chickens bedded with added coffee husks. One-day-old Ross 308 chickens were divided into four groups of 10 birds each in five replicates: C, the control group kept on wheat straw bedding; CH10, a group bedded with 10% coffee husks and 90% wheat straw; CH25, a group bedded with 25% husks and 75% straw; and CH50, a group bedded with 50% husks and 50% straw. After 42 days, the birds were slaughtered, and the caecal mucosae were removed for RNA isolation, while the caecal content was collected for bacterial DNA isolation. The study analyzed the expression of genes involved in intestinal immune response and host organism defense, as well as the relative abundance of indicator bacteria.The dataset presents raw data related to the publication: Biesek J., Dunisławska A., Kozdruń W. 2024. The effect of coffee husks used as pellet bedding material on the intestinal barrier, immune-related gene expression and microbiota composition in the broiler chicken caecum. Journal of Veterinary Research, 68(3), 443-449. https://doi.org/10.2478/jvetres-2024-0053.The data was obtained as a part of a project entitled "Research on the use of coffee husks in bedding for broiler chickens and ducks", No. 2021/05/X/NZ9/00820, financed by the National Science Center (Poland). (Project Investigator: Biesek, Jakub). The samples were taken from mentioned project.This dataset contains data on:bacteria datasetgene expression (mucosa) dataset
DOI: 10.15468/dl.zzx55w
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cryptorhynchus lapathi (C.Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 551 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019434-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7k5dp
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontophrynus carvalhoi Savage & Cei, 1965"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019435-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wk3uu
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Rhinoncus inconspectus Gyll., 1837",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 375 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019436-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyjvjf
title: Occurrence Download

description: A dataset containing 1672 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ceutorhynchus pallidactylus (T.Marsham, 1802)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1672 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019437-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzfxr6
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontophrynus cordobae Martino & Sinsch, 2002"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019438-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kanpm
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontophrynus cultripes Reinhardt & Lütken, 1862"
 ]
}

 The dataset includes 80 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019440-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13943465
title: Plant analysis dataset
DOI: 10.5281/zenodo.13943466
title: Plant analysis dataset
DOI: 10.15468/dl.5tf6ve
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ceutorhynchus floralis (Paykull, 1792)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 197 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019441-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m58y86
title: Occurrence Download

description: A dataset containing 1476 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Hylastes brunneus Erichson, 1836",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1476 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019442-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5f6zr
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontophrynus lavillai Cei, 1985"
 ]
}

 The dataset includes 27 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019443-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er2fcv
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo pygmaeus (Linnaeus, 1760)"
 ]
}

 The dataset's 5 records were derived from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019423-241007104925546/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.27247098
title: Data for R

description: This the data for R program
DOI: 10.6084/m9.figshare.27247098.v1
title: Data for R

description: This the data for R program
DOI: 10.15468/dl.rvc8fa
title: Occurrence Download

description: A dataset containing 7504 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Hylastes cunicularius Erichson, 1836",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 7504 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019445-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp2jzf
title: Occurrence Download

description: A dataset containing 1703652564 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1703652564 records from 36354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291299-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r78ka6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Macaca assamensis (McClelland, 1840)"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144998-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5my8r
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Ginkgoopsida, Pinopsida, Cycadopsida, Cycadopsis Debey, 1848)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Geometry POLYGON ((77.4613 43.00022, 77.46001 43.00027, 77.45872 43.00036, 77.45744 43.00051, 77.45618 43.0007, 77.45492 43.00095, 77.45369 43.00124, 77.45248 43.00158, 77.4513 43.00197, 77.45015 43.0024, 77.44903 43.00288, 77.44794 43.0034, 77.4469 43.00396, 77.44589 43.00456, 77.44493 43.0052, 77.44402 43.00588, 77.44316 43.0066, 77.44234 43.00734, 77.44159 43.00812, 77.44089 43.00892, 77.44025 43.00975, 77.43967 43.01061, 77.43915 43.01148, 77.43869 43.01238, 77.4383 43.01329, 77.43798 43.01422, 77.43772 43.01515, 77.43753 43.0161, 77.4374 43.01705, 77.43735 43.01801, 77.43736 43.01896, 77.43745 43.01992, 77.4376 43.02087, 77.43782 43.02181, 77.4381 43.02274, 77.43845 43.02367, 77.43887 43.02457, 77.43935 43.02546, 77.4399 43.02633, 77.4405 43.02717, 77.44117 43.02799, 77.44189 43.02879, 77.44267 43.02955, 77.4435 43.03028, 77.76685 43.29834, 77.76774 43.29903, 77.76868 43.29969, 77.76966 43.30032, 77.77069 43.3009, 77.77176 43.30144, 77.77286 43.30194, 77.774 43.3024, 78.37004 43.52436, 78.37122 43.52476, 78.37243 43.52512, 78.37366 43.52544, 78.37491 43.5257, 78.37618 43.52592, 78.37746 43.52608, 78.37875 43.5262, 78.38005 43.52627, 78.38135 43.52628, 78.38265 43.52625, 78.38394 43.52616, 78.38523 43.52602, 78.38651 43.52584, 78.38777 43.5256, 78.38901 43.52532, 78.39023 43.52499, 78.39143 43.52461, 78.39259 43.52419, 78.39373 43.52372, 78.39483 43.52321, 78.39589 43.52265, 78.39691 43.52206, 78.39788 43.52142, 78.39881 43.52075, 78.39969 43.52005, 78.40051 43.51931, 78.40128 43.51854, 78.402 43.51774, 78.40266 43.51692, 78.40325 43.51607, 78.40379 43.5152, 78.40426 43.5143, 78.40467 43.5134, 78.40501 43.51247, 78.53236 43.12598, 78.53263 43.12506, 78.53283 43.12413, 78.53297 43.1232, 78.53304 43.12226, 78.53304 43.12133, 78.53298 43.12039, 78.53286 43.11946, 78.53266 43.11853, 78.53241 43.11761, 78.53209 43.1167, 78.5317 43.11581, 78.53126 43.11493, 78.53075 43.11407, 78.53018 43.11323, 78.52956 43.11242, 78.52887 43.11163, 78.52814 43.11086, 78.52735 43.11013, 78.52651 43.10942, 78.52562 43.10875, 78.52469 43.10812, 78.52371 43.10752, 78.52269 43.10696, 78.52163 43.10644, 78.52054 43.10596, 78.51942 43.10552, 78.51827 43.10513, 78.51709 43.10478, 78.51589 43.10447, 78.03199 42.99148, 78.03068 42.9912, 78.02935 42.99098, 78.02801 42.99081, 78.02665 42.9907, 78.02529 42.99064, 78.02393 42.99064, 77.4613 43.00022))"
 ]
}

 The dataset includes 38 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182456-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.