cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fp3exd
title: Occurrence Download

description: A dataset containing 1009 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 Diomedea sanfordi Murphy, 1917"
 ]
}

 The dataset includes 1009 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053509-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pq96rq
title: Occurrence Download

description: A dataset containing 3224 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Appendix C) Stratigraphic range and relative abundance of Paleogene planktonic foraminifera in ODP Hole 120-748B"
 ]
}

 The dataset includes 3224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010003-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs72nc
title: Occurrence Download

description: A dataset containing 2446 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 Streptoprocne biscutata (P.L.Sclater, 1866)"
 ]
}

 The dataset includes 2446 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033874-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8a5cl
title: Occurrence Download

description: A dataset containing 2343 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Appendix A) Planktic foraminifer abundance of ODP Hole 117-723B"
 ]
}

 The dataset includes 2343 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010003-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj45gz
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia guangxiensis C.Y.Wu"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053513-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szw6e7
title: Occurrence Download

description: A dataset containing 4332063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryocopus F.Boie, 1826"
 ]
}

 The dataset includes 4332063 records from 1353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0355096-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6dtcv
title: Occurrence Download

description: A dataset containing 95593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2016-2016"
 ]
}

 The dataset includes 95593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021382-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhnsqn
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lowiaceae)"
 ]
}

 The dataset includes 289 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021383-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7hwgd
title: Occurrence Download

description: A dataset containing 719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Alzateaceae)"
 ]
}

 The dataset includes 719 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021385-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2dsjk
title: Occurrence Download

description: A dataset containing 12510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Penthoraceae)"
 ]
}

 The dataset includes 12510 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021384-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unpxcx
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinellia ternata (Thunb.) Druce, 1917"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021386-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1975502595
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG focus on proteins and their complexes involved in a variety of processes, ranging from cell homeostasis (from gene regulation to folding quality control, from energy metabolism to signal transduction) to communication and surface recognition (including trans-interactions between cell adhesion molecules, components of the extracellular matrix weaving, as well as antigen-antibody interactions for vaccine development and optimization). Key to several projects is the characterization of the mechanisms associated to enzyme function in various organisms, including bacteria, viruses, plants, animals and humans for downstream drug discovery campaigns. Emphasis is also given to research focusing on engineering protein and enzymes for future industrial applications, as well as to understand the impact of pathogenic mutations on protein structures, providing a genotype-to-molecular phenotype rationale to disease development.
DOI: 10.15151/esrf-es-2008246119
title: Ligand Binding: recording events in the active and alternative binding sites using time-resolved crystallography

description: On a molecular level, biological function is closely linked to the dynamic processes of enzymes. However, capturing these conformational changes, especially during catalysis, has proven difficult using conventional experimental methods. Uniquely, time-resolved X-ray crystallography (TRX) can provide insight into these dynamic changes, but is often compounded with substantial experimental challenges. To surmount these challenges and enable TRX on typical beamlines, we have pioneered cryo-trapping TRX. Our SPITROBOT crystal plunger enables to move beyond canonical static imaging of proteins and instead capture short-lived reaction intermediates, that report on dynamic biochemical processes as they unfold. Here we aim to demonstrate that the next generation plunger ‘SPITROBOT-2’ enables reaction quenching within 25 ms and allows following the dynamic events during ligand binding and catalysis for several model systems.
DOI: 10.15151/esrf-es-2005462048
title: Investigating the high-pressure structural stability of the newly synthesized silicate-carbonate Ca6Si2O7(CO3)2(OH)2.

description: This proposal aims to explore the high-pressure structural stability of a newly synthesized hydrous silicate-carbonate, Ca6Si2O7(CO3)2(OH)2, formed at 8.5 GPa and 800°C. The novel phase exhibits a unique configuration with hydroxyl groups and trigonal carbon coordination. Using the ID15b beamline at ESRF, we plan to conduct single crystal diffraction experiments under high-pressure conditions to assess its compressibility and identify potential polymorphs or transitions. The results will provide insights into the structural behavior of this mixed volatile-bearing silicate-carbonate and its potential role as a carbon-water storage medium under mantle conditions.
DOI: 10.15468/dl.vf5ka8
title: Occurrence Download

description: A dataset containing 1740 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Drosophyllaceae)"
 ]
}

 The dataset includes 1740 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021388-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt82qu
title: Occurrence Download

description: A dataset containing 1584 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Joinvilleaceae)"
 ]
}

 The dataset includes 1584 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021390-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9zgnt
title: Occurrence Download

description: A dataset containing 3560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Neuradaceae)"
 ]
}

 The dataset includes 3560 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021389-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agu4qh
title: Occurrence Download

description: A dataset containing 199260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mus musculus Linnaeus, 1758"
 ]
}

 The dataset includes 199260 records from 898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021378-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghfvpc
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Petrosaviaceae)"
 ]
}

 The dataset includes 408 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021392-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrwkwd
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bullia rhodostoma Reeve, 1847)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 534 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008532-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15095307
title: SpongeBoost D1.2 Catalogue of innovative sponge solutions - dataset

description: Catalogue of innovative sponge solutions for securing and improving sponge functions as an adaptation to climate change based on an integrated assessment of social, economic, technical and ecological effects.

In order to achieve this goal, a systematic literature review was applied to 7 languages, specifically English, Czech, Dutch, Estonian, German, Portuguese and Spanish. In total, 1, 938 papers were identified in all languages. Out of these, 417 were considered eligible for the project based on an analysis of the abstracts. Later, additional papers were removed after full read-throughs, resulting in 264 eligible papers. The majority of these thoroughly studied the sponge function, and its impacts and offered innovative solutions for the future. The highest number of scientific papers was identified in English, followed by Spanish, Dutch (including non-scientific literature such as grey literature, project reports or student theses).

The results show that sponge function is becoming a significant topic academically. An increasing trend has been identified in the number of eligible papers published each year. Most of the papers use applied research and quantitative methods, focus on natural sciences, engineering and technology, and social sciences. The analysis typically focuses on a national scale and rarely studies impacts across borders. Most of the articles consider impacts in the rural environment, although there are also articles that focus on (sub)urban environment including the Sponge City concept.

This dataset belongs to Task 1.2 Literature evaluation and comprehensive catalogue of best practice approaches and innovative solutions
DOI: 10.5281/zenodo.15095308
title: SpongeBoost D1.2 Catalogue of innovative sponge solutions - dataset

description: Catalogue of innovative sponge solutions for securing and improving sponge functions as an adaptation to climate change based on an integrated assessment of social, economic, technical and ecological effects.

In order to achieve this goal, a systematic literature review was applied to 7 languages, specifically English, Czech, Dutch, Estonian, German, Portuguese and Spanish. In total, 1, 938 papers were identified in all languages. Out of these, 417 were considered eligible for the project based on an analysis of the abstracts. Later, additional papers were removed after full read-throughs, resulting in 264 eligible papers. The majority of these thoroughly studied the sponge function, and its impacts and offered innovative solutions for the future. The highest number of scientific papers was identified in English, followed by Spanish, Dutch (including non-scientific literature such as grey literature, project reports or student theses).

The results show that sponge function is becoming a significant topic academically. An increasing trend has been identified in the number of eligible papers published each year. Most of the papers use applied research and quantitative methods, focus on natural sciences, engineering and technology, and social sciences. The analysis typically focuses on a national scale and rarely studies impacts across borders. Most of the articles consider impacts in the rural environment, although there are also articles that focus on (sub)urban environment including the Sponge City concept.

This dataset belongs to Task 1.2 Literature evaluation and comprehensive catalogue of best practice approaches and innovative solutions
DOI: 10.5281/zenodo.11055711
title: 2024 Noto Peninsula Earthquake Building Damage Visual Assesment

description: The database is stored as a GeoPackage Noto_Peninsula_Damage_X_Y.gpkg (where X and Y are version values).

A single layer (vX.Y) with table entries for contents (features) and geometries (MultiPolygon) is used to store the building footprints, record detail are given in the table below.

A total of 140,208 entries with associated geometries are recorded in the dataset.

The original vector layer containing the \texttt{geometry} and the s_fid attribute was sourced from GSI's basic map information download portal (https://fgd.gsi.go.jp/download/mapGis.php); the following GSI mesh tiles were considered:

 

553645, 553646, 553647, 553655, 553656, 553657, 553665, 553666, 553667, 553675, 553676, 553677, 553740, 553750, 553760, 553770, 553771, 553772, 563605, 563606, 563607, 563617, 563700, 563701, 563702, 563710, 563711, 563712, 563721, 563722.

 

Each tile corresponds to a an aggregated archive FG-GML-nnnnnn-ALL-YYYYMMDD.zip, where \texttt{nnnnnn} corresponds to the mesh tile number and YYYYMMDD is the date of the last update) of xml vector features.

In our assessment we only consider the FG-GML-nnnnnn-BldA-YYYYMMDD-0001.xml files which contain the building polygons.

The dataset uses coordinate reference system (CRS) EPSG:4326 (WGS 84).

 






Attribute
Type | Length
Description


fid
Int64
Unique identifier for the building.


s_fid
String|80
Serial feature identifier from the original xml file; manual when manually added.


damage
Int8
Damage class


source
String|30
Oblique source number from KKC inventory (KKC, 2024) (where available);


damage_val
Int8
Damage class after technical validation.


municipality
String|20
Municipality name from e-Stat (Ministry of Internal Affairs and Communications, 2024).


conf
String|10
Confidence level of the assessment as per figure 6 based on oblique coverage.


GSI_fire
Bool
Whether building intersects GSI (2024) fire-impacted polygon


GSI_slope_failure
Bool
Whether building intersects GSI (2024) slope failure polygons


GSI_tsunami
Bool
Whether building intersects GSI (2024) tsunami inundation polygons


USGS_MMI
Float
Modified Mercalli Index inherited from the USGS (2024) layer


geometry
MultiPolygon
Vector geometry of the building footprint.
DOI: 10.5281/zenodo.11055712
title: 2024 Noto Peninsula Earthquake Building Damage Visual Assesment
DOI: 10.5281/zenodo.13358736
title: 2024 Noto Peninsula Earthquake Building Damage Visual Assesment

description: The database is stored as a GeoPackage Noto_Peninsula_Damage_X_Y.gpkg (where X and Y are version values).

A single layer (vX.Y) with table entries for contents (features) and geometries (MultiPolygon) is used to store the building footprints, record detail are given in the table below.

A total of 140,208 entries with associated geometries are recorded in the dataset.

The original vector layer containing the \texttt{geometry} and the s_fid attribute was sourced from GSI's basic map information download portal (https://fgd.gsi.go.jp/download/mapGis.php); the following GSI mesh tiles were considered:

 

553645, 553646, 553647, 553655, 553656, 553657, 553665, 553666, 553667, 553675, 553676, 553677, 553740, 553750, 553760, 553770, 553771, 553772, 563605, 563606, 563607, 563617, 563700, 563701, 563702, 563710, 563711, 563712, 563721, 563722.

 

Each tile corresponds to a an aggregated archive FG-GML-nnnnnn-ALL-YYYYMMDD.zip, where \texttt{nnnnnn} corresponds to the mesh tile number and YYYYMMDD is the date of the last update) of xml vector features.

In our assessment we only consider the FG-GML-nnnnnn-BldA-YYYYMMDD-0001.xml files which contain the building polygons.

The dataset uses coordinate reference system (CRS) EPSG:4326 (WGS 84).

 






Attribute
Type | Length
Description


fid
Int64
Unique identifier for the building.


s_fid
String|80
Serial feature identifier from the original xml file; manual when manually added.


damage
Int8
Damage class


source
String|30
Oblique source number from KKC inventory (KKC, 2024) (where available);


damage_val
Int8
Damage class after technical validation.


municipality
String|20
Municipality name from e-Stat (Ministry of Internal Affairs and Communications, 2024).


conf
String|10
Confidence level of the assessment as per figure 6 based on oblique coverage.


geometry
MultiPolygon
Vector geometry of the building footprint.
DOI: 10.5281/zenodo.14650106
title: 2024 Noto Peninsula Earthquake Building Damage Visual Assesment

description: The database is stored as a GeoPackage Noto_Peninsula_Damage_X_Y.gpkg (where X and Y are version values).

A single layer (vX.Y) with table entries for contents (features) and geometries (MultiPolygon) is used to store the building footprints, record detail are given in the table below.

A total of 140,208 entries with associated geometries are recorded in the dataset.

The original vector layer containing the \texttt{geometry} and the s_fid attribute was sourced from GSI's basic map information download portal (https://fgd.gsi.go.jp/download/mapGis.php); the following GSI mesh tiles were considered:

 

553645, 553646, 553647, 553655, 553656, 553657, 553665, 553666, 553667, 553675, 553676, 553677, 553740, 553750, 553760, 553770, 553771, 553772, 563605, 563606, 563607, 563617, 563700, 563701, 563702, 563710, 563711, 563712, 563721, 563722.

 

Each tile corresponds to a an aggregated archive FG-GML-nnnnnn-ALL-YYYYMMDD.zip, where \texttt{nnnnnn} corresponds to the mesh tile number and YYYYMMDD is the date of the last update) of xml vector features.

In our assessment we only consider the FG-GML-nnnnnn-BldA-YYYYMMDD-0001.xml files which contain the building polygons.

The dataset uses coordinate reference system (CRS) EPSG:4326 (WGS 84).

 






Attribute
Type | Length
Description


fid
Int64
Unique identifier for the building.


s_fid
String|80
Serial feature identifier from the original xml file; manual when manually added.


damage
Int8
Damage class


source
String|30
Oblique source number from KKC inventory (KKC, 2024) (where available);


damage_val
Int8
Damage class after technical validation.


municipality
String|20
Municipality name from e-Stat (Ministry of Internal Affairs and Communications, 2024).


conf
String|10
Confidence level of the assessment as per figure 6 based on oblique coverage.


geometry
MultiPolygon
Vector geometry of the building footprint.
DOI: 10.13140/rg.2.2.23687.73127
title: HOW CAN AMERICA OVERTAKE CHINA PROFESSOR TAREQ ALASADI‬
DOI: 10.13140/rg.2.2.10016.92160
title: 11 Indian Brigade attack by 2/5 Mahrattas and 2 Cameron Highlanders against Young Fascists Battalion is a miserable failure after some initial success, because of under estimating Italians --Its British battalion loses its gallant commanding officer
DOI: 10.13140/rg.2.2.28681.57441
title: DAK ATTACKS 11 INDIAN BRIGADE AND INFLICTS SEVERE LOSSES-5 DEC 1941
DOI: 10.15468/dl.hpcq2x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((97.5 -90,105 -90,105 -82.5,97.5 -82.5,97.5 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042089-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.28996.14728
title: Reciprocal Membrane Photobioreactor (RMPBR) system
DOI: 10.13140/rg.2.2.16622.95041
title: AXIS WITHDRAWAL SITUATION 7 DECEMBER 1941
DOI: 10.15468/dl.f2rem9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-97.5 82.5,-90 82.5,-90 90,-97.5 90,-97.5 82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042088-251009101135966/datasets/export for details.