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

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris canutus",
 "Year 1970-2020"
 ]
}

 The dataset includes 127 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009744-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8q9u4
title: Occurrence Download

description: A dataset containing 0 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 (Toxostoma redivivum)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009745-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16187681
title: Crystal structure and thin film energy for non-van der Waals 2D materials

description: The crystal structure and energy of thin films for non-van der Waals (non-vdW) materials are provided. The crystal structures of thin films were created by using VESTA. The energies of thin films were calculated within GGA+D3 level by using Quantum ESPRESSO. The energy of thin films is subtracted by bulk energy and is defined as the finite-thickness excess energy (FTEE). The non-vdW materials include single-component systems (63 metallic and semiconducting elements from Li to Po) and multi-component systems with the Materials Project ID (9 zincblende-type, 21 fluorite-type, and 28 hexagonal structures with P-6m2 space group). The N-layered thin films from N=1 to 8 were considered. The slope of FTEE as a function of N (p_N) is also provided (see our paper for the definition of p_N). This dataset is useful to identify non-vdW two-dimensional (2D) materials.

Comments for "energy_*.csv":

1) The thin films are derived from the "hkl" surface specified in the second or third column.

2) The FTEE (e1-e8) is given in units of Ry. 

Comments for "structure_files":

1) "bulk_single" and "bulk_multi" include the structure files for single- and multi-component systems in the bulk. 

2) "single" includes the structure files for N-layer thin films of single-component systems.

3) "zincblende", "fluorite", and "hexa" include the structure files for N-layer thin films of multi-component systems.

4) "fluorite" also includes the structure files of PbF2(110) thin films, which are more stable than those derived from (111) surface.

5) "hexa" also includes the distorted geometry of TiS, ZrTe, WC, and NbN with almost tetragonal cell. 

6) "hexa_for_phonon_d2" includes the optimized geometry of TiS, ZrTe, WC, NbN, YHSe, and HoHSe with high accuracy within GGA-D2 level.
DOI: 10.5281/zenodo.16187680
title: Crystal structure and thin film energy for non-van der Waals 2D materials

description: The crystal structure and energy of thin films for non-van der Waals (non-vdW) materials are provided. The crystal structures of thin films were created by using VESTA. The energies of thin films were calculated within GGA+D3 level by using Quantum ESPRESSO. The energy of thin films is subtracted by bulk energy and is defined as the finite-thickness excess energy (FTEE). The non-vdW materials include single-component systems (63 metallic and semiconducting elements from Li to Po) and multi-component systems with the Materials Project ID (9 zincblende-type, 21 fluorite-type, and 28 hexagonal structures with P-6m2 space group). The N-layered thin films from N=1 to 8 were considered. The slope of FTEE as a function of N (p_N) is also provided (see our paper for the definition of p_N). This dataset is useful to identify non-vdW two-dimensional (2D) materials.

Comments for "energy_*.csv":

1) The thin films are derived from the "hkl" surface specified in the second or third column.

2) The FTEE (e1-e8) is given in units of Ry. 

Comments for "structure_files":

1) "bulk_single" and "bulk_multi" include the structure files for single- and multi-component systems in the bulk. 

2) "single" includes the structure files for N-layer thin films of single-component systems.

3) "zincblende", "fluorite", and "hexa" include the structure files for N-layer thin films of multi-component systems.

4) "fluorite" also includes the structure files of PbF2(110) thin films, which are more stable than those derived from (111) surface.

5) "hexa" also includes the distorted geometry of TiS, ZrTe, WC, and NbN with almost tetragonal cell. 

6) "hexa_for_phonon_d2" includes the optimized geometry of TiS, ZrTe, WC, NbN, YHSe, and HoHSe with high accuracy within GGA-D2 level.
DOI: 10.15468/dl.2p3hnv
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera tetraptera",
 "Country is Lesotho",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009747-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vrvrp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera tetraptera",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009746-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shy8zu
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microhyla okinavensis",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009750-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqac8u
title: Occurrence Download

description: A dataset containing 28297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Occurrence evidence, Living Specimen)",
 "Country is Sierra Leone",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 28297 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009748-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4zfpf
title: Occurrence Download

description: A dataset containing 5424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysiptera taupou"
 ]
}

 The dataset includes 5424 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009751-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj5hgg
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT
GBIF_EQDGCode(
2,
decimalLatitude,
decimalLongitude,
COALESCE(coordinateUncertaintyInMeters, 1000)
) AS eqdg_code,
speciesKey,
"year",
species,
family,
COUNT(DISTINCT specieskey) AS unique_species_count,
COUNT(*) as occurrence_count,COUNT(*), decimalLatitude AS Latitude,decimalLongitude AS Longitude, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount
FROM occurrence 
WHERE countrycode = 'ZA'
AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
AND taxonkey IN (5599251, 2685524, 2685326, 2685464, 2685527, 3152633, 2979180, 2980910, 2980814, 2979331, 2981303, 2979161, 2979253, 2978970, 2979559, 2980425, 2979474, 2979778, 2973176, 2979519, 2978611, 2979232, 2980514, 2978730, 2979091, 2979775, 2979000, 2981159, 2978241, 2979014, 2978612, 2979750, 2978604, 2978525, 2979923, 2978552, 2979835, 2978771, 2979292, 2980497, 2979793, 3057221, 5231630, 7717816, 8185590, 2449648, 1047530, 1047525, 2153835, 2153810, 2153823, 2153814, 2153833, 2153831, 3100364, 3100375, 5415455, 4542910, 2114442, 7100404, 3189863, 3768452, 3767816, 7262958, 3189866, 7262960, 3189882, 3189870, 3189883, 3189837, 3189859, 4544574, 6913105, 4544543, 4544502, 4544577, 2128510, 4544360, 1373072, 1718308, 3120284, 3120060, 1870988, 7219441, 2505278, 2023722, 2873769, 2873807, 2465136, 2465139, 2489010, 2489006, 7491932, 1751068, 2472757, 7413879, 6118049)
AND "year" &lt;= 2022
AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL AND level1Gid = 'ZAF.9_1, ZAF.3_1'
GROUP BY
eqdg_code,
speciesKey,
"year",
species,
decimalLatitude,
decimalLongitude,
family ORDER BY 
eqdg_code ASC,
"year" ASC,
speciesKey ASC,
family ASC


 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009736-250802193616735/datasets/export for details.
DOI: 10.15468/dl.93yxtz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apareiodon tigrinus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009752-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h984tz
title: Occurrence Download

description: A dataset containing 9837 records in GBIF matching the query:
SELECT
GBIF_EQDGCode(
2,
decimalLatitude,
decimalLongitude,
COALESCE(coordinateUncertaintyInMeters, 1000)
) AS eqdg_code,
speciesKey,
"year",
species,
family,
COUNT(DISTINCT specieskey) AS unique_species_count,
COUNT(*) as occurrence_count,COUNT(*), decimalLatitude AS Latitude,decimalLongitude AS Longitude, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount
FROM occurrence 
WHERE countrycode = 'ZA'
AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
AND taxonkey IN (5599251, 2685524, 2685326, 2685464, 2685527, 3152633, 2979180, 2980910, 2980814, 2979331, 2981303, 2979161, 2979253, 2978970, 2979559, 2980425, 2979474, 2979778, 2973176, 2979519, 2978611, 2979232, 2980514, 2978730, 2979091, 2979775, 2979000, 2981159, 2978241, 2979014, 2978612, 2979750, 2978604, 2978525, 2979923, 2978552, 2979835, 2978771, 2979292, 2980497, 2979793, 3057221, 5231630, 7717816, 8185590, 2449648, 1047530, 1047525, 2153835, 2153810, 2153823, 2153814, 2153833, 2153831, 3100364, 3100375, 5415455, 4542910, 2114442, 7100404, 3189863, 3768452, 3767816, 7262958, 3189866, 7262960, 3189882, 3189870, 3189883, 3189837, 3189859, 4544574, 6913105, 4544543, 4544502, 4544577, 2128510, 4544360, 1373072, 1718308, 3120284, 3120060, 1870988, 7219441, 2505278, 2023722, 2873769, 2873807, 2465136, 2465139, 2489010, 2489006, 7491932, 1751068, 2472757, 7413879, 6118049)
AND "year" &lt;= 2022
AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL AND level1Gid = 'ZAF.9_1'
GROUP BY
eqdg_code,
speciesKey,
"year",
species,
decimalLatitude,
decimalLongitude,
family ORDER BY 
eqdg_code ASC,
"year" ASC,
speciesKey ASC,
family ASC


 The dataset's 9837 records were derived from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009729-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94guxg
title: Occurrence Download

description: A dataset containing 669584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Poa trivialis",
 "Year 1981-2020"
 ]
}

 The dataset includes 669584 records from 2284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009712-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muvzup
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.34304 30.01842,-97.1519 30.01842,-97.1519 30.21507,-97.34304 30.21507,-97.34304 30.01842))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata",
 "Year 2006-2016"
 ]
}

 The dataset includes 96 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032141-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nztw3f
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera xochipalensis Rzed."
 ]
}

 The dataset includes 247 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032149-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr5ww8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vaccinium myrtillus L.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032142-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7939/r3-e0q8-sm93
title: Boardex Reports - SMDEs Committee Details - 2021 November
DOI: 10.15468/dl.kv7me6
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctous alpina (L.) Nied.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 35 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032143-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvucky
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera velutina Bullock"
 ]
}

 The dataset includes 157 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032147-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzn43k
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Menyanthes trifoliata L.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 121 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032145-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7939/r3-btaj-qj05
title: BoardEx Reports - Director Profile - Set 2- 2022 July

description: Director Profiles provide data on individual directors by ID number including: age, gender, education, number of boards on, achievements, board role ( current and historic) , and other activities (current and historic). Data back to 1999 when available.
DOI: 10.6084/m9.figshare.28905032
title: <b>Appendix 1. Statistical Descriptive</b>: Table 1.6 The Aggregate (Population) Data of The Ownership of Business Licences in Medan City

description: <b>Disclaimer:</b>The raw data originates from the Medan City administration's aggregate MSME data. The researcher obtained research permit number 000.9/1826 in 2023 and received authorization from the Medan City Government to analyze and publish this data.<b>Interpretation:</b>This table presents data on business licence ownership across 21 districts in the city of Medan. It categorises individuals as those who own business licenses ("yes") and those who do not ("no") with a total count for each district.<b>Key Insights:</b><br><b>Overall Business License Ownership</b>:<b>7,034 individuals</b> (7.80%) have registered business licences.<b>83,157 individuals</b> (92.20%) do not own business licences.<b>Districts with the Highest Business License Ownership</b>:<b>Medan Tuntungan</b>: 3,078 licences issued (43.77% of total licence owners).<b>Medan Tembung</b>: 2,170 licenses (30.86%).<b>Medan Area</b>: 820 licences (11.66%).<b>Districts with the Lowest Business License Ownership</b>:<b>Medan Labuhan</b>: two licenses (0.03%).<b>Medan Maimun</b>: 2 licences (0.03%).<b>Medan Belawan</b>: 3 licences (0.04%).<b>General Trend</b>:The distribution suggests that certain districts, such as<b> Medan Tuntungan and Medan Tembung, have a significantly higher number of registered businesses</b>, possibly due to economic activity or local policies that encourage formalisation.Meanwhile, districts like <b>Medan Labuhan and Medan Belawan have virtually very few registered businesses</b>, which may indicate challenges in business regulation or a predominance of informal enterprises.<b>Potential Research Implications</b>:<b>Entrepreneurship Formalisation:</b> The low percentage of registered businesses suggests potential barriers to formal business registration.<b>District-Level Economic Activity:</b> The variations in licence ownership may reflect differences in commercial density across districts.<b>Policy considerations:</b> Understanding why certain districts have greater license ownership could help shape local regulations that incentivise formal business registration.<br>
DOI: 10.6084/m9.figshare.28905032.v1
title: <b>Appendix 1. Statistical Descriptive</b>: Table 1.6 The Aggregate (Population) Data of The Ownership of Business Licences in Medan City

description: This table presents data on business license ownership across 21 districts in the city of Medan. It categorizes individuals into <b>those who own business licences ("Yes")</b> and <b>those who do not ("No")</b>, with a total count for each district.<b>Key Insights:</b><br><b>Overall Business License Ownership</b>:<b>7,034 individuals</b> (7.80%) have registered business licenses.<b>83,157 individuals</b> (92.20%) do not own business licenses.<b>Districts with the Highest Business License Ownership</b>:<b>Medan Tuntungan</b>: 3,078 licenses issued (43.77% of total license owners).<b>Medan Tembung</b>: 2,170 licenses (30.86%).<b>Medan Area</b>: 820 licenses (11.66%).<b>Districts with the Lowest Business License Ownership</b>:<b>Medan Labuhan</b>: 0 licenses (0.00%).<b>Medan Maimun</b>: 2 licenses (0.03%).<b>Medan Belawan</b>: 3 licenses (0.04%).<b>General Trend</b>:The distribution suggests that certain districts, such as<b> Medan Tuntungan and Medan Tembung, have a significantly higher number of registered businesses</b>, potentially due to economic activity or local policies that encourage formalization.Meanwhile, districts like <b>Medan Labuhan and Medan Belawan have virtually no registered businesses</b>, which may indicate challenges in business regulation or a predominance of informal enterprises.<b>Potential Research Implications</b>:<b>Entrepreneurship Formalisation:</b> The low percentage of registered businesses suggests potential barriers to formal business registration.<b>District-Level Economic Activity:</b> The variations in licence ownership may reflect differences in commercial density across districts.<b>Policy considerations:</b> Understanding why certain districts have higher license ownership could help shape local regulations that incentivise formal business registration.