cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18767717
title: Urban Sprawl and its Geomorphological Consequences: A Case Study  of Egra Municipality, West Bengal

description: A B S T R A C T Egra Municipality, located in the Purba Medinipur district of West Bengal, is a historically significant and rapidly growing urban center. This study aims to analyze the dynamics of urban expansion and its multi-dimensional consequences on the physical and socio-environmental landscape of the region. The primary objectives include monitoring land use and land cover (LULC) changes, assessing demographic shifts, and identifying the loss of aesthetic and geomorphological values due to unplanned urbanization. The research employs an integrated approach using Remote Sensing (RS) and Geographic Information System (GIS) techniques. Multitemporal satellite data (from 1993 to 2023) were analyzed to calculate indices such as the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) to quantify urban sprawl and vegetation health. Primary data were collected through field observations and questionnaire surveys across 14 wards, while secondary data were sourced from Census reports and municipal records. Statistical methods, including the Simpson’s Diversity Index (SDI) and transport connectivity indices (alpha, beta, gamma), were used for structural analysis. The analysis reveals a significant transformation in the LULC pattern over the last three decades. Settlement areas have expanded from approximately 15.77% in 1993 to nearly 49.69% in 2023, primarily at the expense of agricultural land and vegetation cover. Demographic data indicate a steady population rise, with the 2011 population of 30,148 estimated to reach 41,000 by 2023. The study identifies three distinct phases of expansion: Phase-I (Urbanizing Village), Phase-II (Urbanized Village), and Phase-III (Suburb), each showing a progressive shift from primary to tertiary economic activities and a loss of rural essence. Furthermore, the rapid growth has led to geomorphological stresses, including altered drainage patterns and a decline in the aesthetic quality of the natural landscape. The findings suggest that while Egra is evolving into a key service hub, the current haphazard expansion poses a threat to environmental sustainability. The study emphasizes the need for a comprehensive master plan, improved civic amenities (drainage, sanitation), and the preservation of wetlands and green spaces. Active participation from local authorities and the community is essential for achieving a balanced and sustainable urban future for Egra Municipality.
DOI: 10.5281/zenodo.18767718
title: Urban Sprawl and its Geomorphological Consequences: A Case Study  of Egra Municipality, West Bengal

description: A B S T R A C T Egra Municipality, located in the Purba Medinipur district of West Bengal, is a historically significant and rapidly growing urban center. This study aims to analyze the dynamics of urban expansion and its multi-dimensional consequences on the physical and socio-environmental landscape of the region. The primary objectives include monitoring land use and land cover (LULC) changes, assessing demographic shifts, and identifying the loss of aesthetic and geomorphological values due to unplanned urbanization. The research employs an integrated approach using Remote Sensing (RS) and Geographic Information System (GIS) techniques. Multitemporal satellite data (from 1993 to 2023) were analyzed to calculate indices such as the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) to quantify urban sprawl and vegetation health. Primary data were collected through field observations and questionnaire surveys across 14 wards, while secondary data were sourced from Census reports and municipal records. Statistical methods, including the Simpson’s Diversity Index (SDI) and transport connectivity indices (alpha, beta, gamma), were used for structural analysis. The analysis reveals a significant transformation in the LULC pattern over the last three decades. Settlement areas have expanded from approximately 15.77% in 1993 to nearly 49.69% in 2023, primarily at the expense of agricultural land and vegetation cover. Demographic data indicate a steady population rise, with the 2011 population of 30,148 estimated to reach 41,000 by 2023. The study identifies three distinct phases of expansion: Phase-I (Urbanizing Village), Phase-II (Urbanized Village), and Phase-III (Suburb), each showing a progressive shift from primary to tertiary economic activities and a loss of rural essence. Furthermore, the rapid growth has led to geomorphological stresses, including altered drainage patterns and a decline in the aesthetic quality of the natural landscape. The findings suggest that while Egra is evolving into a key service hub, the current haphazard expansion poses a threat to environmental sustainability. The study emphasizes the need for a comprehensive master plan, improved civic amenities (drainage, sanitation), and the preservation of wetlands and green spaces. Active participation from local authorities and the community is essential for achieving a balanced and sustainable urban future for Egra Municipality.
DOI: 10.15468/dl.k4sbk2
title: Occurrence Download

description: A dataset containing 678995 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Bhutan"
 ]
}

 The dataset includes 678995 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009167-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s4h6f
title: Occurrence Download

description: A dataset containing 28414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avena fatua",
 "Geometry POLYGON((-10.000000 30.000000,40.000000 30.000000,40.000000 48.000000,-10.000000 48.000000,-10.000000 30.000000))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28414 records from 760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009211-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4b94c
title: Occurrence Download

description: A dataset containing 2368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotesia",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 2368 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009220-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqz7fh
title: Occurrence Download

description: A dataset containing 21725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, Ukraine)",
 "TaxonKey is Apodemus"
 ]
}

 The dataset includes 21725 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009210-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvgvb7
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Euphrasia pectinata",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 451 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009221-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4231
title: Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data

description: This dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains:

&lt;ol&gt;
 &lt;li&gt;The collection of graphs with layout used in the study&lt;/li&gt;
 &lt;li&gt; The final, randomized experiment files used in the study&lt;/li&gt;
 &lt;li&gt;The source code of the study prototype&lt;/li&gt;
 &lt;li&gt;The collected, anonymized data in tabular form&lt;/li&gt;
 &lt;li&gt;The code for the statistical analysis&lt;/li&gt;
 &lt;li&gt;The Supplemental Materials PDF&lt;/li&gt;
 &lt;li&gt;The documents used in the study procedure (English, Italian, German)&lt;/li&gt;
&lt;/ol&gt;

&lt;b&gt;Paper abstract:&lt;/b&gt;
Problem solving is a composite cognitive process, invoking a number of cognitive mechanisms, such as perception and memory.
Individuals may form collectives to solve a given problem together in collaboration, especially when complexity is perceived to be high.
To determine if and when collaborative problem solving is desired in the context of visual graph analysis, we compare ad hoc pairs to individuals and nominal pairs, when solving different tasks in mixed reality.
We discuss the results of an experiment with 72 participants performed in two countries and three languages.
We apply the concept of task instance complexity to quantify the visual demand of tasks used in the experiment.
Our results show the importance of using nominal groups as a benchmark for evaluating collaborative virtual environments.
We conclude that 3D graph representation is not sufficient to induce better collaborative results compared~to the benchmark.
DOI: 10.15468/dl.f2tv2d
title: Occurrence Download

description: A dataset containing 6415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysoritis"
 ]
}

 The dataset includes 6415 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009214-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wg5sb
title: Occurrence Download

description: A dataset containing 251930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupornis magnirostris",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 251930 records from 578 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009189-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha5d3h
title: Occurrence Download

description: A dataset containing 26650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxodonta africana"
 ]
}

 The dataset includes 26650 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009216-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4x288
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lecidea mougeotioides)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025245-260208012135463/datasets/export for details.
DOI: 10.15468/dl.x5angv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lecidea septentrionalis)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025246-260208012135463/datasets/export for details.
DOI: 10.15468/dl.srzbc2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lecidea ludificans)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025247-260208012135463/datasets/export for details.
DOI: 10.6084/m9.figshare.29527433
title: Data file 6. KHUD_010 strain 18 unique gene clusters containing 20 genes

description: Data file 6. KHUD_010 strain 18 unique gene clusters containing 20 genes<br>
DOI: 10.6084/m9.figshare.29527433.v5
title: Data file 6. KHUD_010 strain 18 unique gene clusters containing 20 genes

description: Data file 6. KHUD_010 strain 18 unique gene clusters containing 20 genes<br>
DOI: 10.15468/dl.hpgchc
title: Occurrence Download

description: A dataset containing 334415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Vaccinium uliginosum"
 ]
}

 The dataset includes 334415 records from 678 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077788-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqay5s
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atractosteus tropicus Gill, 1863"
 ]
}

 The dataset includes 329 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010427-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6qtm7
title: Occurrence Download

description: A dataset containing 10145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elephas maximus",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10145 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009966-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtd5je
title: Occurrence Download

description: A dataset containing 7657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 1990-2020"
 ]
}

 The dataset includes 7657 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009967-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc3slxc
title: CCDC 113023: Experimental Crystal Structure Determination

description: Related Article: K.Das, U.C.Sinha, C.Chaterjee, A.Mishnev|1993|Z.Krist.Cryst.Mater.|205|316|doi:10.1524/zkri.1993.205.Part-2.316
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/cc4qj8m
title: CCDC 140810: Experimental Crystal Structure Determination

description: Related Article: B.Modec, J.V.Brencic, L.Golic, L.M.Daniels|2000|Polyhedron|19|1407|doi:10.1016/S0277-5387(00)00430-7
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/cc4qj9n
title: CCDC 140811: Experimental Crystal Structure Determination

description: Related Article: B.Modec, J.V.Brencic, L.Golic, L.M.Daniels|2000|Polyhedron|19|1407|doi:10.1016/S0277-5387(00)00430-7
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/cc4knp0
title: CCDC 136142: Experimental Crystal Structure Determination

description: Related Article: J.Rogan, D.Poleti, L.Karanovic, G.A.Bogdanovic, A.Spasojevic-de Bire, D.M.Petrovic|2000|Polyhedron|19|1415|doi:10.1016/S0277-5387(00)00435-6
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/cc4qjbp
title: CCDC 140812: Experimental Crystal Structure Determination

description: Related Article: B.Modec, J.V.Brencic, L.Golic, L.M.Daniels|2000|Polyhedron|19|1407|doi:10.1016/S0277-5387(00)00430-7
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: 10.15156/bio/sh1406732.10fu
title: SH1406732.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1406734.10fu
title: SH1406734.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1406735.10fu
title: SH1406735.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1406736.10fu
title: SH1406736.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.