cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sdtg92
title: Occurrence Download

description: A dataset containing 305089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Material sample, Material citation, Specimen, Living Specimen, Machine Observation)",
 "Continent is Asia",
 "Country is Nepal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 305089 records from 889 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010094-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnfxd7
title: Occurrence Download

description: A dataset containing 701923 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer platanoides L."
 ]
}

 The dataset includes 701923 records from 1969 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010102-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.22354096
title: Supplementary Materials "How we think about numbers - Early counting and mathematical abstraction" - Chapter 4

description: Supplementary Materials for Chapter 4 of the doctoral dissertation "How we think about numbers - Early counting and mathematical abstraction". Contains preregistrations, open data and open materials for study 1 and study 2<br><br>As children learn to count, they make one of their first mathematical abstractions. They initially learn how numbers in the count sequence correspond to quantities of physical things if the rules of counting are followed (i.e., if you say the numbers in order “one two three four …” as you tag each thing with a number). Around the age of four-years-old, children discover that these rules also define numbers in relation to each other, such that numbers contain meaning in themselves and without reference to the physical world (e.g., “five” is “one” more than “four”). It is through learning to count, that children discover the natural numbers as mathematical symbols defined by abstract rules.<br>In this dissertation, I explored the developmental trajectory and the cognitive mechanisms of how we gain an understanding of the natural numbers as children. I present new methodological, empirical, and theoretical insights on how and when in the process of learning to count, children discover that numbers represent cardinalities, that numbers can be defined in relation to each other by the successor function and that numbers refer to units. Lastly, I explore this mathematical abstraction as the foundation of how we think about numbers as adults.<br>My work critically tested prominent theories on how learning to count gives meaning to numbers through analogical mapping and conceptual bootstrapping. Findings across five empirical studies suggest that the process is more gradual and continuous than previous theories have proposed. Children begin to understand numbers as cardinalities defined in relation to other numbers by the successor function before they fully grasp the rules of counting. With learning the rules of counting this understanding continuously expands and matures. I further suggest that children may only fully understand numbers as abstract mathematical symbols once they understand how counting and numbers refer to the abstract notion of units rather than to physical things.<br>The central finding of this dissertation is that learning to count does not change children’s understanding of numbers altogether and all at once. Nonetheless, when learning to count, children accomplish a fascinating mathematical abstraction, which builds the foundation for lifelong mathematical learning.<br><br>© Theresa Elise Wege, CC BY-NC 4.0
DOI: 10.17028/rd.lboro.22354096.v1
title: Supplementary Materials "How we think about numbers - Early counting and mathematical abstraction" - Chapter 4

description: Supplementary Materials for Chapter 4 of the doctoral dissertation "How we think about numbers - Early counting and mathematical abstraction". Contains preregistrations, open data and open materials for study 1 and study 2<br><br>As children learn to count, they make one of their first mathematical abstractions. They initially learn how numbers in the count sequence correspond to quantities of physical things if the rules of counting are followed (i.e., if you say the numbers in order “one two three four …” as you tag each thing with a number). Around the age of four-years-old, children discover that these rules also define numbers in relation to each other, such that numbers contain meaning in themselves and without reference to the physical world (e.g., “five” is “one” more than “four”). It is through learning to count, that children discover the natural numbers as mathematical symbols defined by abstract rules.<br>In this dissertation, I explored the developmental trajectory and the cognitive mechanisms of how we gain an understanding of the natural numbers as children. I present new methodological, empirical, and theoretical insights on how and when in the process of learning to count, children discover that numbers represent cardinalities, that numbers can be defined in relation to each other by the successor function and that numbers refer to units. Lastly, I explore this mathematical abstraction as the foundation of how we think about numbers as adults.<br>My work critically tested prominent theories on how learning to count gives meaning to numbers through analogical mapping and conceptual bootstrapping. Findings across five empirical studies suggest that the process is more gradual and continuous than previous theories have proposed. Children begin to understand numbers as cardinalities defined in relation to other numbers by the successor function before they fully grasp the rules of counting. With learning the rules of counting this understanding continuously expands and matures. I further suggest that children may only fully understand numbers as abstract mathematical symbols once they understand how counting and numbers refer to the abstract notion of units rather than to physical things.<br>The central finding of this dissertation is that learning to count does not change children’s understanding of numbers altogether and all at once. Nonetheless, when learning to count, children accomplish a fascinating mathematical abstraction, which builds the foundation for lifelong mathematical learning.<br><br>© Theresa Elise Wege, CC BY-NC 4.0
DOI: 10.5281/zenodo.15533451
title: APW generation of Italy, Spain, Greece, Portugal, France, Norway and Finland

description: Agricultural plastic waste in Italy, Spain, Greece, Portugal and France at the NUTS 2 regional level (EUROSTAT) and in Norway and Finland at the NUTS 3 provincial level (EUROSTAT).
DOI: 10.5281/zenodo.15533452
title: APW generation of Italy, Spain, Greece, Portugal, France, Norway and Finland

description: Agricultural plastic waste in Italy, Spain, Greece, Portugal and France at the NUTS 2 regional level (EUROSTAT) and in Norway and Finland at the NUTS 3 provincial level (EUROSTAT).
DOI: 10.25959/6g5a-3g03
title: Benthic annotations of stereo-BRUV and drop camera imagery from the South-west Corner Marine Park
DOI: 10.25959/mhqc-ah42
title: Fish annotations of stereo-BRUV and drop camera imagery from the South-west Corner Marine Park
DOI: 10.25959/s1sw-rj21
title: Predictions of dominant habitat from the South-west Corner Marine Park
DOI: 10.15468/dl.ffq5jr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Kobus leche)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082450-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8egj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"TUR.41.22_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007001-260108223611665/datasets/export for details.
DOI: 10.5683/sp3/fns9ef
title: Labour Force Survey, December 2025 [Canada]
title: Labour Force Survey, December 2025
title: Enquête sur la population active, décembre 2025 [Canada]
title: LFS December 2025

description: LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.
description: Labour Force Survey
DOI: 10.15468/dl.8pkepr
title: Occurrence Download

description: A dataset containing 9894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachinus draco)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Country is one of (Spain, France, Portugal)"
 ]
}

 The dataset includes 9894 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007002-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65a84d
title: Occurrence Download

description: A dataset containing 340 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 Airyantha Brummitt"
 ]
}

 The dataset includes 340 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010894-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc13t1vt
title: CCDC 1036976: Experimental Crystal Structure Determination

description: Related Article: Wenjie Mei, Qiong Wu|2014|CSD Communication|||
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/ccqf90f
title: CCDC 668174: Experimental Crystal Structure Determination

description: Related Article: Paul Frederic|2015|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jjgyg
title: CCDC 1416016: Experimental Crystal Structure Determination

description: Related Article: Michael J. Bartlett, Benjamin J. Frogley, Anthony F. Hill, Manab Sharma, Matthew K. Smith, Jas S. Ward|2019|Dalton Trans.|48|16534|doi:10.1039/C9DT03229K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jjj2n
title: CCDC 1416051: Experimental Crystal Structure Determination

description: Related Article: Michael J. Bartlett, Benjamin J. Frogley, Anthony F. Hill, Manab Sharma, Matthew K. Smith, Jas S. Ward|2019|Dalton Trans.|48|16534|doi:10.1039/C9DT03229K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jjjq9
title: CCDC 1416071: Experimental Crystal Structure Determination

description: Related Article: Michael J. Bartlett, Benjamin J. Frogley, Anthony F. Hill, Manab Sharma, Matthew K. Smith, Jas S. Ward|2019|Dalton Trans.|48|16534|doi:10.1039/C9DT03229K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zpkw3
title: CCDC 1837986: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Zhang, Hui-Qiong Xiao, Shao-Qian Liu, Wa-Hung Leung, Yu Wang, Wei-Hua Zhu, Xu Liang, Xiao-Yi Yi|2019|J.Organomet.Chem.|896|102|doi:10.1016/j.jorganchem.2019.05.027
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc229t3b
title: CCDC 1916051: Experimental Crystal Structure Determination

description: Related Article: Hanna E. Wagner, Silvia Hohnstein, Max G. Schußmann, Lukas A. Steppe, Frank Breher|2019|Dalton Trans.|48|15397|doi:10.1039/C9DT02057H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22j37z
title: CCDC 1922100: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2019|CSD Communication|||
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: 10.15468/dl.75g26c
title: Occurrence Download

description: A dataset containing 540203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((28.11603 40.60795,30.04718 40.60795,30.04718 41.78555,28.11603 41.78555,28.11603 40.60795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 540203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029059-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p4fzp
title: Occurrence Download

description: A dataset containing 29215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spinus notatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 29215 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029124-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdnzrk
title: Occurrence Download

description: A dataset containing 2198693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "HasCoordinate is true",
 "Elevation is greater than or equal to -1000m",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2198693 records from 799 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029099-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15752011
title: Code, Data and Results in "Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes"

description: This archive contains the codes and computed results, reported in the paper(wherein SSD_data.npy, x_data.npy, and y_data.npy are the training sets used for network execution of TASK A and TASK B):Wang Y., Chen Y., Zhang T., Huang H., Zhou Q. Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes.
DOI: 10.5281/zenodo.15752010
title: Code, Data and Results in "Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes"

description: This archive contains the codes and computed results, reported in the paper(wherein SSD_data.npy, x_data.npy, and y_data.npy are the training sets used for network execution of TASK A and TASK B):Wang Y., Chen Y., Zhang T., Huang H., Zhou Q. Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes.
DOI: 10.15468/dl.vwr4rn
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spinus siemiradzkii)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1861 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029125-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1133252
title: Site Images and GIS Data from an Archaeological Evaluation at Chinalls Close, Finmere, Cherwell, Oxfordshire, August 2022

description: This collection consists of site images and GIS data from an archaeological evaluation at Chinalls Close, Finmere, Cherwell, Oxfordshire. The works were conducted by Cotswold Archaeology in August 2022. Archaeological features were identified in 8 trenches. Furrows of possible post-medieval date; four undated ditches and a pit; and a further ditch containing possible Late Iron Age pottery were recorded. The results of the evaluation correlated well with the geophysical survey, with the exception of the south-western part of the site, where concentration of naturally occurring gravel were originally interpreted as putative prehistoric features.
DOI: 10.15468/dl.a7cgef
title: Occurrence Download

description: A dataset containing 12753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 12753 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029126-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e6xzk
title: Occurrence Download

description: A dataset containing 1570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Barleria cristata"
 ]
}

 The dataset includes 1570 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029127-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6eyrn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABA7387"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029128-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u485w
title: Occurrence Download

description: A dataset containing 20197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spinus spinescens)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 20197 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029130-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.