cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/grtorc
title: Plangebied Groene Carré te Hoofddorp, gemeente Haarlemmermeer.
title: Archeologisch vooronderzoek: een bureauonderzoek.
title: RAAP RAPPORT 8068

description: &lt;/p&gt;
In opdracht van de gemeente Haarlemmermeer heeft RAAP in september 2025 een archeologisch vooronderzoek in de vorm van een bureauonderzoek uitgevoerd voor het plangebied Groene Carré te Hoofddorp in de gemeente Haarlemmermeer.
Het onderzoek vond plaats in het kader van een omgevingsvergunning.
Op basis van de resultaten van dit onderzoek blijkt dat in een zeer klein deel van het plangebied mogelijk archeologische resten aanwezig zijn. Het betreft de resten van een huis met erf uit de periode 1876 – 1950. De oppervlakte van de zone waarbinnen deze resten verwacht kunnen worden bedraagt maximaal 2700 m2 (het blauwe kader in figuur 15). De plannen bestaan binnen deze zone uit het aanplanten van een nieuw boomvak.
&lt;/p&gt;&lt;/p&gt;
Geadviseerd wordt om de plannen zodanig aan te passen dat de aanwezige resten van het huis worden ontzien. Dit kan door op die plek geen bodemingrepen te verrichten die dieper reiken dan de bouwvoor.
&lt;/p&gt;&lt;/p&gt;
Indien planaanpassing niet mogelijk is, dan wordt geadviseerd ter plaatse van het huis vervolgonderzoek uit te voeren. Gezien de aard van de resten is een inventariserend onderzoek door middel van proefsleuven de meest geschikte methode.
&lt;/p&gt;&lt;/p&gt;
In het overige deel van het plangebied wordt in het kader van de voorgenomen bodemingrepen geen archeologisch vervolgonderzoek aanbevolen. Indien bij de uitvoering van de werkzaamheden onverwacht archeologische resten worden aangetroffen, dan is conform artikel 5.10 van de Erfgoedwet aanmelding van de desbetreffende vondsten bij de Minister van Onderwijs, Cultuur en Wetenschap c.q. de Rijksdienst voor het Cultureel Erfgoed verplicht (vondstmelding via ARCHIS).
&lt;/p&gt;&lt;/p&gt;
Dit rapport geeft (selectie)adviezen. Het is aan de bevoegde overheid, de gemeente Haarlemmermeer, deze al dan niet over te nemen in de vorm van een (selectie)besluit.
&lt;/p&gt;
DOI: 10.15468/dl.e899es
title: Occurrence Download

description: A dataset containing 389950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosaceae",
 "Country is China"
 ]
}

 The dataset includes 389950 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012027-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjrds4
title: Occurrence Download

description: A dataset containing 635587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epilobium hirsutum"
 ]
}

 The dataset includes 635587 records from 2473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011971-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.267p8f
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pechuel-loeschea O.Hoffm."
 ]
}

 The dataset includes 665 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002705-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qmkx6
title: Occurrence Download

description: A dataset containing 1505190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 2008",
 "Month is November"
 ]
}

 The dataset includes 1505190 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002698-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/vst-t5r-32k
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.hvj8vk
title: Occurrence Download

description: A dataset listing the 5441 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "OccurrenceStatus is Present",
 "Year is 2021"
 ]
}

 The dataset's 5441 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023830-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/nd9-tvd-l0l
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sjv-kmc-8py
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.2hhn4y
title: Occurrence Download

description: A dataset containing 26312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 26312 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023839-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5b1-2v6-b0p
title: Pinus L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l2p-llr-8ff
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sgl-7wx-scx
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xe2-2y0-a7r
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/epd-57h-51m
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hl3-wn8-jar
title: Operculina complanata (Defrance in Blainville, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e38-zjn-kll
title: Operculinella Yabe, 1918

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/skt-afr-54b
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bcx-6qx-0kf
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j3v-nad-yxb
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8vm-r5z-vbd
title: Fagus L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h0a-sp0-t2n
title: Fagus L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/378-4y6-c0l
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4lt-fqg-gkk
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/39w-q35-560
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3bt-33v-ges
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ghf-76x-sqd
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hy-61j-1da
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ybx-5j4-15a
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gar-fv5-aza
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w60-kg0-chq
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2yb-a3h-v9a
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rrv-81h-y3n
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yfk-v3b-j2w
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5063/f17s7m7s
title: Data and Code: Continued transitions from fish meal and oil in aquafeeds require close attention to biodiversity trade-offs

description: This dataset contains all code and selected data to reproduce the results and figures published in Clawson et al. 2025, Continued transitions from fish meal and oil in aquafeeds require close attention to biodiversity trade-offs. All code and results can also be found here: https://github.com/Sustainable-Aquafeeds-Project/feed_biodiv_impact_mapping Science for societyAquaculture is a growing industry crucial to global food security, but its biodiversity impact, particularly from feed production, remains poorly understood. We present a new spatial approach to quantify the biodiversity impacts of animal feeds, using Atlantic salmon aquaculture as a case study. We examine habitat impacts for over 50,000 marine and terrestrial species from producing feeds for global Atlantic salmon production under two feed scenarios. To reduce historical wild fish use in feeds, salmon aquaculture has increased its reliance on agricultural inputs. We show how this shift can disproportionately increase impacts for terrestrial species and highlight how careful decisions about feed sourcing are imperative to curb biodiversity impacts. As global demand for seafood continues to rise, these methods and findings can guide policymakers and industry stakeholders toward more informed decisions to improve aquaculture sustainability. Abstract Feed constitutes a considerable portion of the environmental impact embedded in aquaculture production, making it crucial for enhancing aquaculture sustainability. While previous research has evaluated the environmental pressures of feed production, no spatially explicit global biodiversity assessment of animal feeds exists. Here, we assess biodiversity impacts on 54,628 marine and terrestrial species for two simplified but plausible Atlantic salmon feeds. We find widespread impact on both marine (~89%) and terrestrial (~71%) species, though the average magnitude of impact is small. Despite minimising wild-sourced fishmeal and oil by necessity, increased agricultural dependence for feed provisioning appears to have disproportionately increased impacts on terrestrial taxa. Our results provide key information for sourcing aquafeed to minimise impacts and optimise sustainability. As the aquaculture industry expands to feed billions more, a standardised and integrative approach to assess and potentially forecast the effects of feed on global biodiversity is essential for informed decision-making.
DOI: 10.15468/dl.sn3uby
title: Occurrence Download

description: A dataset containing 28627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bison"
 ]
}

 The dataset includes 28627 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039571-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj27tq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astartea ambigua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039574-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49zq6s
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Shivasia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039575-251025141854904/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.28904936
title: Dataset & code for "Using large language models to address the bottleneck of georeferencing natural history collections"

description: Datasets and codes, which are used in the paper "Using large language models to address the bottleneck of georeferencing natural history collections"1. System requirements: Windows 10; R language: v 4.2.2; Python: v 3.8.122. Instructions for use: The "data" folder contain the key sampling and intermediate data in the analysis process of this study. The initial specimen dataset included a total of 13,064,051 records from the Global Biodiversity Information Facility (GBIF) can be downloaded from GBIF DOI: https://doi.org/10.15468/dl.fj3sqk.Data file name and its meaning or purpose：occurrence_filter_clean.csv: The data before sampling 5,000 records based on continents, after cleaning the initial specimen datamain data frame 5000_only country state county locality.csv: The 5,000 sample data used for georeferencing, containing only basic information such as country, state/province, county, locality, and true latitude and longitude from GBIFmain data frame 100_only country state county locality.csv: The 100 sub-sample data used for humnan and reasoning-LLM georeferencing, containing only basic information such as country, state/province, county, locality, and true latitude and longitude from GBIFmain data frame 5000.csv: records all output data and required records from the analysis of 5,000 sample points, including coordinates and error distances from various georeferencing methods, locality text features, and readability metricsmain data frame 100.csv: records all output data and required records from the analysis of 100 sub-sample points, including coordinates and error distances from various georeferencing methods, locality text features, and readability metricsgeoref_errorDis.csv: used for Figure 1bsummary_error_time_cost.csv: time taken and cost records for various georeferencing methods, used for Figure 4for_human_completed.csv: results of manual georeferencing by the participantshf_v2geo.tif: Global Human Footprint Dataset (Geographic) (Version 2.00), from https://gis.earthdata.nasa.gov/portal/home/item.html?id=048c92f5ce50462a86b0837254924151, used for Figure 5acountry file folder: global country and county polygon vector data, used to extract centroid coordinates of counties in ArcGIS v10.8<br>
DOI: 10.6084/m9.figshare.28904936.v1
title: Dataset & code for "Using large language models to address the bottleneck of georeferencing natural history collections"

description: Datasets and codes, which are used in the paper "Using large language models to address the bottleneck of georeferencing natural history collections"1. System requirements: Windows 10; R language: v 4.2.2; Python: v 3.8.122. Instructions for use: The "data" folder contain the key sampling and intermediate data in the analysis process of this study. The initial specimen dataset included a total of 13,064,051 records from the Global Biodiversity Information Facility (GBIF) can be downloaded from GBIF DOI: https://doi.org/10.15468/dl.fj3sqk.Data file name and its meaning or purpose：occurrence_filter_clean.csv: The data before sampling 5,000 records based on continents, after cleaning the initial specimen datamain data frame 5000_only country state county locality.csv: The 5,000 sample data used for georeferencing, containing only basic information such as country, state/province, county, locality, and true latitude and longitude from GBIFmain data frame 100_only country state county locality.csv: The 100 sub-sample data used for humnan and reasoning-LLM georeferencing, containing only basic information such as country, state/province, county, locality, and true latitude and longitude from GBIFmain data frame 5000.csv: records all output data and required records from the analysis of 5,000 sample points, including coordinates and error distances from various georeferencing methods, locality text features, and readability metricsmain data frame 100.csv: records all output data and required records from the analysis of 100 sub-sample points, including coordinates and error distances from various georeferencing methods, locality text features, and readability metricsgeoref_errorDis.csv: used for Figure 1bsummary_error_time_cost.csv: time taken and cost records for various georeferencing methods, used for Figure 4for_human_completed.csv: results of manual georeferencing by the participantshf_v2geo.tif: Global Human Footprint Dataset (Geographic) (Version 2.00), from https://gis.earthdata.nasa.gov/portal/home/item.html?id=048c92f5ce50462a86b0837254924151, used for Figure 5acountry file folder: global country and county polygon vector data, used to extract centroid coordinates of counties in ArcGIS v10.8<br>
DOI: 10.6084/m9.figshare.28303442
title: <b>Consistent global datasets on Land Use, Biodiversity Intactness Index, and Biodiversity Intactness Footprint of Agricultural Production from 2000 to 2020</b>

description: This archive provides consistent global datasets on <b>Harmonized Land-use (HHLU)</b>, <b>Biodiversity Intactness Index (BII)</b>, and <b>Biodiversity Intactness Footprint (BIIFP)</b> of Agricultural production from 2000 to 2020.________________________________________________________________________________<br>Thank you for your interest in the dataset. Please note that this data archive has been permanently relocated from Figshare to Zenodo.The dataset is now hosted and maintained at https://doi.org/10.5281/zenodo.17608318<br><br>________________________________________________________________________________<br><b>Relocation & License Notice</b>:<br>The relocation is to ensure that the dataset is correctly distributed under the license and terms of use of <b>the PREDICT project</b>, which is under the license of <b>Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0).</b>The Zenodo license now applies to all versions of this dataset, including any copies that users may have previously downloaded from Figshare.If you have already downloaded the data from Figshare, we ask you to ensure that your use of this dataset complies with the license terms specified on Zenodo (<b>CC BY-NC-SA 4.0)</b>.For full license details, please visit: https://creativecommons.org/licenses/by-nc-sa/4.0/<br><br>
DOI: 10.6084/m9.figshare.28303442.v3
title: <b>Consistent global datasets on Land Use, Biodiversity Intactness Index, and Biodiversity Intactness Footprint of Agricultural Production from 2000 to 2020</b>

description: This archive provides consistent global datasets on <b>Harmonized Land-use (HHLU)</b>, <b>Biodiversity Intactness Index (BII)</b>, and <b>Biodiversity Intactness Footprint (BIIFP)</b> of Agricultural production from 2000 to 2020.________________________________________________________________________________<br>Thank you for your interest in the dataset. Please note that this data archive has been permanently relocated from Figshare to Zenodo.The dataset is now hosted and maintained at https://doi.org/10.5281/zenodo.17608318<br><br>________________________________________________________________________________<br><b>Relocation & License Notice</b>:<br>The relocation is to ensure that the dataset is correctly distributed under the license and terms of use of <b>the PREDICT project</b>, which is under the license of <b>Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0).</b>The Zenodo license now applies to all versions of this dataset, including any copies that users may have previously downloaded from Figshare.If you have already downloaded the data from Figshare, we ask you to ensure that your use of this dataset complies with the license terms specified on Zenodo (<b>CC BY-NC-SA 4.0)</b>.For full license details, please visit: https://creativecommons.org/licenses/by-nc-sa/4.0/<br><br>
DOI: 10.15468/dl.ukkjd8
title: Occurrence Download

description: A dataset containing 2934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astragalus bisulcatus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2934 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039577-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.