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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Country is Italy",
 "DatasetKey is DAISIE - Inventory of alien invasive species in Europe"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052253-241126133413365/datasets/export for details.
DOI: 10.34740/kaggle/dsv/10334977
title: Coverage of allowances and benefits
DOI: 10.15468/dl.2qk4wd
title: Occurrence Download

description: A dataset containing 17065 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterigidae"
 ]
}

 The dataset includes 17065 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052254-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10335150
title: Registered craft in Estonia
DOI: 10.15468/dl.qxj4sv
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((46.42052 16.83053,58.03775 21.22223,53.7781 29.9419,39.25656 38.71927,34.60967 32.58951,39.6438 23.01584,46.42052 16.83053))",
 "HasGeospatialIssue is false",
 "TaxonKey is Gambusia holbrooki Girard, 1859"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052256-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23669/imi945
title: Baza podataka o sankcijama izrečenim društvenim marginalcima u Zagrebu tijekom Prvoga svjetskog rata

description: Istraživanje neobjavljenih arhivskih izvora potrebnih za izradu izlaganja "ʻSkitalice”, „besposlice”, „klatež” (...) u Zagrebu tijekom Prvoga svjetskog rata. Marginalne društvene skupine na području grada Zagreba od 1914. do 1918." Izlaganje održano 26. rujna 2024. godine u sklopu sekcije Marginalne društvene skupine u 19. stoljeću na VII. kongresu hrvatskih povjesničara, Osijek, 25.-28. rujna 2024; HNOPZ; DHP; Filozofski fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku; Hrvatski institut za povijest, Podružnica za povijest Slavonije, Srijema i Baranje.
DOI: 10.23669/imi945/7avi7z
title: cda1052_res_sankcije-marginalci_1914-1918.xlsx

description: Podaci za cijelo promatrano razdoblje s posebnim radnim listom za svaku godinu te jednim radnim listom za sve godine. Za svaki radni list statistička obrada podataka prikazana je u dva dodatna radna lista, u tabličnom i grafičkom obliku.
DOI: 10.23669/imi945/f5h2dv
title: cda1052_dat_sankcije-marginalci_1914-1918.dat

description: Podaci za cijelo promatrano razdoblje.
DOI: 10.23669/imi945/i2x1jo
title: cda1052_doc_legenda.txt

description: Legenda za podatke za cijelo promatrano razdoblje.
DOI: 10.15468/dl.m942nv
title: Occurrence Download

description: A dataset listing the 297 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterigidae"
 ]
}

 The dataset's 297 records were derived from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052255-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g89s2z
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron sumatrensis Retz."
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052257-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e5xds
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((46.42052 16.83053,58.03775 21.22223,53.7781 29.9419,39.25656 38.71927,34.60967 32.58951,39.6438 23.01584,46.42052 16.83053))",
 "HasGeospatialIssue is false",
 "TaxonKey is Gambusia holbrooki Girard, 1859"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052258-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3936
title: Egypt_habits
DOI: 10.15468/dl.pzv6t7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron philadelphicus L."
 ]
}

 The dataset includes 65 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052259-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14514089
title: Datasets for "Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning"

description: One large tgz file containing all of the data for https://www.biorxiv.org/content/10.1101/2024.06.19.599724. Subdirectories are (hopefully) labelled clearly; averaged quantities for each simulation run are in those subdirectories along with zip files containing more detailed snapshots of populations for each run.
DOI: 10.5281/zenodo.14514090
title: Datasets for "Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning"

description: One large tgz file containing all of the data for https://www.biorxiv.org/content/10.1101/2024.06.19.599724. Subdirectories are (hopefully) labelled clearly; averaged quantities for each simulation run are in those subdirectories along with zip files containing more detailed snapshots of populations for each run.
DOI: 10.34808/8f5y-yf24
title: OntoValidate: OntoNotes 5.0 NER validation dataset

description: OntoValidate dataset consists of 603 randomly chosen raw textsfrom the original OntoNote 5.0 dataset (3637 raw texts in total).
All raw texts are split into 13 subsets. Each subset was manuallyannotated with named entities by at least 10 people. Each annotator followed the official annotation guidelines (OntoNotes Named Entity Guidelines VERSION 14.0)that are distributed together with the OntoNotes 5.0 dataset. 
The OntoValidate dataset allows for a comparison of how different peopleunderstand the named entity recognition task. On the other hand, it also gave ussome insights about the precision of annotation guidelines itself.
Format
Each directory of the OntoValidate dataset represents a separate annotator.The first number in the directory name is the sequence number of the subset, the second isthe sequence number of the annotator. Each directory contains the JSON files that containthe annotations in spaCy JSON format. 
All annotations were created using the NER Text Annotator tool (https://tecoholic.github.io/ner-annotator/).
DOI: 10.60893/figshare.app.27912840
title: Supplementary Material

description: Clean Version
DOI: 10.60893/figshare.app.27912840.v1
title: Supplementary Material

description: Clean Version
DOI: 10.34808/ve4q-wq46
title: OntoValidate: OntoNotes 5.0 NER validation dataset

description: OntoValidate dataset consists of 603 randomly chosen raw textsfrom the original OntoNote 5.0 dataset (3637 raw texts in total).
All raw texts are split into 13 subsets. Each subset was manuallyannotated with named entities by at least 10 people. Each annotator followed the official annotation guidelines (OntoNotes Named Entity Guidelines VERSION 14.0)that are distributed together with the OntoNotes 5.0 dataset. 
The OntoValidate dataset allows for a comparison of how different peopleunderstand the named entity recognition task. On the other hand, it also gave ussome insights about the precision of annotation guidelines itself.
Format
Each directory of the OntoValidate dataset represents a separate annotator.The first number in the directory name is the sequence number of the subset, the second isthe sequence number of the annotator. Each directory contains the JSON files that containthe annotations in spaCy JSON format. 
All annotations were created using the NER Text Annotator tool (https://tecoholic.github.io/ner-annotator/).
DOI: 10.15468/dl.pkqwxp
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron bonariensis L."
 ]
}

 The dataset includes 660 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052260-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14561973
title: Links Between Package Popularity, Criticality, and Security in Software Ecosystems - Graph Dataset
DOI: 10.34740/kaggle/dsv/10342181
title: Visitor analytics in city of Helsinki websites
DOI: 10.6084/m9.figshare.28113701
title: EFSA GMO Panel opinions on authorisation, renewal, or post-market monitoring of GM plants with outcomes.

description: The set contains a list of opinions of the EFSA GMO panel on the authorisation, renewal or post-market monitoring evaluation of GM plants in the EU, along with the conclusions presented either as "Positive", "Negative" or "Limitations". The date range is 2004-2023.Positive - the panel found the information provided sufficient to form an opinion regarding environmental risks or food/feed safety and its conclusions did not indicate any likely hazards connected with the intended use of the plant or productNegative - the panel found the information provided sufficient to form an opinion regarding environmental risks or food/feed safety and its conclusions identified issues that would justify a negative opinion regarding the safety of the product.Limitations - the panel found it impossible to form an opinion on at least one aspect, due to some important piece of information or data missing in the application. In case of monitoring plans this can also mean an advice to gather additional data or change the methodology.
DOI: 10.6084/m9.figshare.28113701.v1
title: EFSA GMO Panel opinions on authorisation, renewal, or post-market monitoring of GM plants with outcomes.

description: The set contains a list of opinions of the EFSA GMO panel on the authorisation, renewal or post-market monitoring evaluation of GM plants in the EU, along with the conclusions presented either as "Positive", "Negative" or "Limitations". The date range is 2004-2023.Positive - the panel found the information provided sufficient to form an opinion regarding environmental risks or food/feed safety and its conclusions did not indicate any likely hazards connected with the intended use of the plant or productNegative - the panel found the information provided sufficient to form an opinion regarding environmental risks or food/feed safety and its conclusions identified issues that would justify a negative opinion regarding the safety of the product.Limitations - the panel found it impossible to form an opinion on at least one aspect, due to some important piece of information or data missing in the application. In case of monitoring plans this can also mean an advice to gather additional data or change the methodology.
DOI: 10.15468/dl.nsxbmr
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Country is Sao Tome and Principe",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "Year 1980-2024"
 ]
}

 The dataset includes 252 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052261-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gdg9n
title: Occurrence Download

description: A dataset containing 1949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron canadensis L."
 ]
}

 The dataset includes 1949 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052262-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/55h68dh2zv.1
title: Genome sequences of 2639 Pseudomona aeruginosa strains

description: Genome sequences of 2639 Pseudomona aeruginosa strains
DOI: 10.5281/zenodo.14274711
title: Dataset for: Anti-Icing Properties of Polar Bear Fur

description: This Zenodo file contains documentation for the paper: Anti-Icing Properties of Polar Bear Fur (DOI will be added after publishing). The files include LC-MS/MS, GC-MS/MS, and NMR datasets, complete with scripts used for data processing. This also includes the raw measurement data for contact angle, contact angle hysteresis, ice adehesion, freezing delay time and the tensile strength of hairs as well as the full set of scanning electron microscopy and atomic force microscopy images.
DOI: 10.5281/zenodo.14274712
title: Dataset for: Anti-Icing Properties of Polar Bear Fur

description: This Zenodo file contains documentation for the paper: Anti-Icing Properties of Polar Bear Fur (DOI will be added after publishing). The files include LC-MS/MS, GC-MS/MS, and NMR datasets, complete with scripts used for data processing. This also includes the raw measurement data for contact angle, contact angle hysteresis, ice adehesion, freezing delay time and the tensile strength of hairs as well as the full set of scanning electron microscopy and atomic force microscopy images.
DOI: 10.6084/m9.figshare.28102958.v6
title: Vector-to-Image Converted Building Footprints for Building Change Detection

description: We present a challenging change detection problem in vector building footprints, which is critical when detected changes are used to update existing vector databases. We formulate our change detection into an image recognition problem, where deep learning approaches can be used. And we explore a more explainable multi-stage workflow of deep models.1．<b>Python environment</b>: requirements.txt2．<b>Step-by-step instructions on reproducing the results</b><b>:</b> Instructions_on_reproducing.docx3．<b>Code</b><b>:</b> Code_Feature-Fusion-CNN.zip4．<b>Data</b><b>:</b> (1) bounding-box.zip, (2) fixed-window.zip, (3) displacement.zip, (4) discrepancy.zip,(5) window_size_10.zip, (6) window_size_20.zip, (7) window_size_30.zip, (8) window_size_40.zip<br><br>
DOI: 10.15468/dl.t5rks6
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Sasia ochracea Hodgson, 1837"
 ]
}

 The dataset includes 422 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052263-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28102958
title: Vector-to-Image Converted Building Footprints or Building Change Detection

description: We present a challenging change detection problem in vector building footprints, which is critical when detected changes are used to update existing vector databases. We formulate our change detection into an image recognition problem, where deep learning approaches can be used. And we explore a more explainable multi-stage workflow of deep models.1．<b>Python environment</b>: requirements.txt2．<b>Step-by-step instructions on reproducing the results</b><b>:</b> Instructions_on_reproducing.docx3．<b>Code</b><b>:</b> Code_Feature-Fusion-CNN.zip4．<b>Data</b><b>:</b> (1) bounding-box.zip, (2) fixed-window.zip, (3) displacement.zip, (4) discrepancy.zip,(5) window_size_10.zip, (6) window_size_20.zip, (7) window_size_30.zip, (8) window_size_40.zip<br><br>
DOI: 10.6084/m9.figshare.28102958.v7
title: Building Change Detection

description: We present a challenging change detection problem in vector building footprints, which is critical when detected changes are used to update existing vector databases. We formulate our change detection into an image recognition problem, where deep learning approaches can be used. And we explore a more explainable multi-stage workflow of deep models.1．<b>Python environment</b>: requirements.txt2．<b>Step-by-step instructions on reproducing the results</b><b>:</b> Instructions_on_reproducing.docx3．<b>Code</b><b>:</b> Code_Feature-Fusion-CNN.zip4．<b>Data</b><b>:</b> (1) bounding-box.zip, (2) fixed-window.zip, (3) displacement.zip, (4) discrepancy.zip,(5) window_size_10.zip, (6) window_size_20.zip, (7) window_size_30.zip, (8) window_size_40.zip<br><br>
DOI: 10.5281/zenodo.11104578
title: Proglacial sediments in High Arctic glacier foreland: A case study of Werenskioldbreen, Svalbard

description: The glacier environment exhibit a high sensitivity to the global climate change leading to progressive deglaciation and the exposure of previously ice-covered land. The newly exposed terrain provides a valuable opportunity to observe rapid ecosystem changes, such as the accumulation of glacial sediments, the development of soil-forming and progressive alterations in water and biogeochemical cycles. While developing hydrological and hydrogeological models for the Werenskioldbreen proglacial expanding zone, we encountered a significant problem due to insufficient data for parameterizing glacial sediments, constituting the environment for water flow and storage. These data provide detail insight into the physicochemical parameters of glacial sediments and classify them in terms of grain size distribution, hydraulic conductivity, pH, and Corg, Nt and Pt contents. Samples for macroscopic examination and further laboratory analysis were collected from each different proglacial sediment in the profile. Macroscopic characterisation in the field was carried out in accordance with standards PN-EN ISO 14688-1 and PN-EN ISO 14688-2 introduced into the catalogue of Polish Standards in 2006 and are cited in PN-EN 1997-2:2009, known as Eurocode 7: Geotechnical engineering design - Part 2: Identification and investigation of soils.More information on the data acquisition methodology is included in the publication (same title) or can be obtained through the contact provided.
description: Keywords:  glacial sediments, granulometric composition, phisicochemical properties, Werenskioldbreen forefield
DOI: 10.5281/zenodo.11104579
title: Proglacial sediments properties in High Arctic glacier foreland: A case study of Werenskioldbreen (Svalbard)

description: The glacier environment exhibit a high sensitivity to the global climate change leading to progressive deglaciation and the exposure of previously ice-covered land. The newly exposed terrain provides a valuable opportunity to observe rapid ecosystem changes, such as the accumulation of glacial sediments, the development of soil-forming and progressive alterations in water and biogeochemical cycles. While developing hydrological and hydrogeological models for the Werenskioldbreen proglacial expanding zone, we encountered a significant problem due to insufficient data for parameterizing glacial sediments, constituting the environment for water flow and storage. These data provide detail insight into the physicochemical parameters of glacial sediments and classify them in terms of grain size distribution, hydraulic conductivity, pH, and Corg, Nt and Pt contents. Samples for macroscopic examination and further laboratory analysis were collected from each different proglacial sediment in the profile. Macroscopic characterisation in the field was carried out in accordance with standards PN-EN ISO 14688-1 and PN-EN ISO 14688-2 introduced into the catalogue of Polish Standards in 2006 and are cited in PN-EN 1997-2:2009, known as Eurocode 7: Geotechnical engineering design - Part 2: Identification and investigation of soils.More information on the data acquisition methodology is included in the publication (same title) or can be obtained through the contact provided.
description: Keywords:  glacial sediments, granulometric composition, phisicochemical properties, Werenskioldbreen forefield
DOI: 10.5281/zenodo.12825842
title: Proglacial sediments in High Arctic glacier foreland: A case study of Werenskioldbreen, Svalbard

description: The glacier environment exhibit a high sensitivity to the global climate change leading to progressive deglaciation and the exposure of previously ice-covered land. The newly exposed terrain provides a valuable opportunity to observe rapid ecosystem changes, such as the accumulation of glacial sediments, the development of soil-forming and progressive alterations in water and biogeochemical cycles. While developing hydrological and hydrogeological models for the Werenskioldbreen proglacial expanding zone, we encountered a significant problem due to insufficient data for parameterizing glacial sediments, constituting the environment for water flow and storage. These data provide detail insight into the physicochemical parameters of glacial sediments and classify them in terms of grain size distribution, hydraulic conductivity, pH, and Corg, Nt and Pt contents. Samples for macroscopic examination and further laboratory analysis were collected from each different proglacial sediment in the profile. Macroscopic characterisation in the field was carried out in accordance with standards PN-EN ISO 14688-1 and PN-EN ISO 14688-2 introduced into the catalogue of Polish Standards in 2006 and are cited in PN-EN 1997-2:2009, known as Eurocode 7: Geotechnical engineering design - Part 2: Identification and investigation of soils.More information on the data acquisition methodology is included in the publication (same title) or can be obtained through the contact provided.
description: Keywords:  glacial sediments, granulometric composition, phisicochemical properties, Werenskioldbreen forefield
DOI: 10.15468/dl.w6mucm
title: Occurrence Download

description: A dataset listing the 702 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Gabon, Cameroon, Congo, Democratic Republic of the, Congo, Central African Republic)",
 "TaxonKey is Euphorbiaceae"
 ]
}

 The dataset's 702 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052264-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9ft5x
title: Occurrence Download

description: A dataset containing 1867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Jynx torquilla Linnaeus, 1758"
 ]
}

 The dataset includes 1867 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052266-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.