cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/4tpneq
title: Species on the Edge - 2023 onwards O'Brien and Smith Wader Surveys - Site Totals

description: Species on the Edge is a new ground-breaking partnership programme of NatureScot and seven nature conservation charities, all dedicated to improving the fortunes of 37 priority species found along Scotland's coast and islands.

Funded by the National Lottery Heritage Fund, the project is delivering a four and a half year programme of work to tackle the impacts of environmental change on wildlife, to benefit both nature and people. The partnership consists of Amphibian and Reptile Conservation, The Bat Conservation Trust, Buglife, Bumblebee Conservation Trust, Butterfly Conservation, NatureScot, Plantlife, and RSPB Scotland.

Drawing on the knowledge and experience within the partnership, we have identified seven landscape-scale areas around Scotland’s coast and islands where collaboration will provide the greatest benefits. These seven areas are: The Solway Coast, The Inner Hebrides, Argyll & Lochaber, The Outer Hebrides, North Scotland Coast, Orkney Islands, Shetland Islands and East Scotland Coast.

This dataset contains site totals of wader surveys conducted for the Species on the Edge project. The surveys began in 2023 on Orkney Islands, Shetland Islands and The Inner Hebrides. Additional Species on the Edge project areas are expected to undertake wader monitoring during the timespan of the project. At each site, counts of Oystercatcher, Curlew, Snipe, Lapwing and Redshank were undertaken.
DOI: 10.15468/jeq4h8
title: Species on the Edge - 2023 onwards O'Brien and Smith Wader Surveys - Field Totals

description: Species on the Edge is a new ground-breaking partnership programme of NatureScot and seven nature conservation charities, all dedicated to improving the fortunes of 37 priority species found along Scotland's coast and islands.

Funded by the National Lottery Heritage Fund, the project is delivering a four and a half year programme of work to tackle the impacts of environmental change on wildlife, to benefit both nature and people. The partnership consists of Amphibian and Reptile Conservation, The Bat Conservation Trust, Buglife, Bumblebee Conservation Trust, Butterfly Conservation, NatureScot, Plantlife, and RSPB Scotland.

Drawing on the knowledge and experience within the partnership, we have identified seven landscape areas around Scotland’s coast and islands where collaboration will provide the greatest benefits. These seven areas are: The Solway Coast, The Inner Hebrides, Argyll & Lochaber, The Outer Hebrides, North Scotland Coast, Orkney Islands, Shetland Islands and East Scotland Coast.

This dataset contains field totals from wader surveys conducted for the Species on the Edge project. The surveys began in 2023 on Orkney Islands, Shetland Islands and The Inner Hebrides. Additional Species on the Edge project areas are expected to undertake wader monitoring during the timespan of the project. At each site, counts of Oystercatcher, Curlew, Snipe, Lapwing and Redshank were undertaken.
DOI: 10.24396/ordar-189
title: Major and traces analyses of lavas from Central Afar field missions between 2012 and 2023

description: This database contains trace and major element measurements carried out on lava samples from the Central Afar Rift in Ethiopia. The samples come from the CRPG laboratory collections (Nancy France) acquired during Ethiopian field missions in 2012 2013 2015 and 2018. As well as from the 2023 field missions carried out as part of Sarah GOMMERY s thesis and as part of the MagmAfar project funded by the ANR. This database compiles the analyses of the magmatic units of Central Afar whose age is between 0.4 and 30 Ma - i.e. corresponding to the units of the Trapps the Miocene lavas and the Lower Intermediate Upper Stratoid and the Gulf Basalts defined in Sarah GOMMERY s thesis defended in June 2025 at the Sorbonne University to which I refer the lector
DOI: 10.15468/dl.5m3xrd
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leporinus marcgravii)",
 "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 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003664-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17121834
title: Heritage Sites in Lefakat, South of Banghazi, Libya

description: A dataset of 30 heritage sites in Lefakat region south of the city of Banghazi, Libya used for the EAMENA CPF case study of assessing the impacts of urbanisation on heritage sites in the Lefakat region.
description: EAMENA data entry methodology
DOI: 10.5281/zenodo.17121833
title: Heritage Sites in Lefakat, South of Banghazi, Libya

description: A dataset of 30 heritage sites in Lefakat region south of the city of Banghazi, Libya used for the EAMENA CPF case study of assessing the impacts of urbanisation on heritage sites in the Lefakat region.
description: EAMENA data entry methodology
DOI: 10.15468/dl.adb4g7
title: Occurrence Download

description: A dataset containing 47974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is one of (PNG.18_1, PNG.5_1, PNG.11_1, PNG.7_1, PNG.21_1, PNG.9_1, PNG.10_1, PNG.3_1, PNG.19_1, PNG.6_1, PNG.14_1, PNG.8_1, PNG.22_1, PNG.17_1, PNG.2_1, PNG.15_1, PNG.13_1)",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47974 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003661-250914085247600/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.30128146
title: Data and Code

description: Relationships between key components of the terrestrial carbon cycle (SOC) and nitrogen (N) input under environmental change
DOI: 10.6084/m9.figshare.30128146.v1
title: Data and Code

description: Relationships between key components of the terrestrial carbon cycle (SOC) and nitrogen (N) input under environmental change
DOI: 10.15468/dl.wweyyj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter robiniella",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003667-250914085247600/datasets/export for details.
DOI: 10.15468/dl.jc3q6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter robiniella",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003668-250914085247600/datasets/export for details.
DOI: 10.15468/dl.9dryyg
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter robiniella",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003669-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16928447
title: SDN traffic data collected from self-generated TCP SYN Flood DDoS attack within 2 hosts, 1 switch network and from public dataset CIC-DDoS2019 in 2025

description: These data consist of network packets collected from a self-generated TCP SYN Flood attack resembling common DDoS attack in SDN. They came from a simple 2 host, 1 switch network, where one host (attacker) repeatedly sent meaningless information to the other (victim) using randomized source address. The simulated attack was launched using built-in ping command available in Linux virtual machine in 2025. From the data, various information such as source and destination addresses, TCP flags and timeframe between each packet can be used to produce a pattern resembling a DDoS attack, allowing the creation of a machine learning program to detect and mitigate such attack. Additionally, sample data taken from the public dataset CIC-DDoS2019 are also used as training data. These data were collected by Alfred Antonio of Binus University.
DOI: 10.5281/zenodo.17121740
title: SDN traffic data collected from self-generated TCP SYN Flood DDoS attack within 2 hosts, 1 switch network and from public dataset CIC-DDoS2019 in 2025

description: These data consist of network packets collected from a self-generated TCP SYN Flood attack resembling common DDoS attack in SDN. They came from a simple 2 host, 1 switch network, where one host (attacker) repeatedly sent meaningless information to the other (victim) using randomized source address. The simulated attack was launched using built-in ping command available in Linux virtual machine in 2025. From the data, various information such as source and destination addresses, TCP flags and timeframe between each packet can be used to produce a pattern resembling a DDoS attack, allowing the creation of a machine learning program to detect and mitigate such attack. Additionally, sample data taken from the public dataset CIC-DDoS2019 are also used as training data. These data were collected by Alfred Antonio of Binus University.
DOI: 10.15468/dl.pt2cfk
title: Occurrence Download

description: A dataset containing 1901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is FishBase Database",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1901 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003670-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60541/b9qh-3433
title: CityHealth: Earned Sick Leave Laws

description: Each year since 2016, CityHealth, an initiative of the de Beaumont Foundation and Kaiser Permanente, has worked with partners to advance a package of 12 evidence-based policy solutions aimed at improving health and well-being by collecting and assessing the policies in the 75 largest US cities. The Center for Public Health Law Research (CPHLR) at the Temple University Beasley School of Law works with CityHealth to assess nine of the 12 policy topics each year by researching, collecting, coding, and scoring the state, county, and city law involved in shaping each policy at the city level.

CPHLR assesses earned sick leave laws for CityHealth each year. Earned sick leave laws require companies to provide paid time off to their employees to help stop the spread of contagious illness, allow employees to care for sick family members, and/or seek services or treatment relating to incidences of domestic violence.

This dataset is longitudinal and displays key features of state, county, and city laws regarding earned sick leave laws across the 75 largest cities in effect as of July 1, 2022, through June 1, 2024.

Important Note: This version of the CityHealth Earned Sick Leave Laws datasets is published on LawAtlas.org to provide a longitudinal snapshot of the laws in effect from July 1, 2022, through June 1, 2024. Unlike the Earned Sick Leave Law data published at CityHealth.org, it does not include laws passed before June 1, 2024, with future effective dates. Medal determinations for the CityHealth project do include and score laws passed before the assessment publication with future effective date, so the coding here may not match the data and medal results currently available on CityHealth.org. Please contact elizabeth.platt@temple.edu if you have any questions about the discrepancies between the two sources.
DOI: 10.5286/isis.e.rb2590213-1
title: Feasibility testing for INS experiments on MultiLayer Capacitors

description: Multilayer capacitors (MLCs) permit high electric fields to be applied without breakdown. Below TN, nominally reversible driving of the partial antiferroelectric ferroelectric (AF FE) transition over a wide range of temperatures yields large inverse electrocaloric (EC) effects. Above TN, nominally reversible driving of the partial paraelectric ferroelectric (PE FE) transition yields large conventional EC effects at 302 K. This good EC performance near room temperature implies that MLCs could be exploited in prototype EC coolers. This is a first test experiment to determine whether it is possible to obtain a phonon density of states from the active material in an MLC made of Pb2ScTaO6 with Pt inner electrodes. This would be used as a proof of concept for future experiments, eventually leading to in-operando measurements if successful. It is in collaboration with Prof N Mathur at Cambridge.
DOI: 10.5286/isis.e.rb2590213
title: Feasibility testing for INS experiments on MultiLayer Capacitors

description: Multilayer capacitors (MLCs) permit high electric fields to be applied without breakdown. Below TN, nominally reversible driving of the partial antiferroelectric ferroelectric (AF FE) transition over a wide range of temperatures yields large inverse electrocaloric (EC) effects. Above TN, nominally reversible driving of the partial paraelectric ferroelectric (PE FE) transition yields large conventional EC effects at 302 K. This good EC performance near room temperature implies that MLCs could be exploited in prototype EC coolers. This is a first test experiment to determine whether it is possible to obtain a phonon density of states from the active material in an MLC made of Pb2ScTaO6 with Pt inner electrodes. This would be used as a proof of concept for future experiments, eventually leading to in-operando measurements if successful. It is in collaboration with Prof N Mathur at Cambridge.
DOI: 10.17909/0smj-7050
title: TOI-6109 Sectors 18 & 58

description: TOI-6109 Sectors 18 & 58 SPOC lightcurves
DOI: 10.15468/dl.kcxpgc
title: Occurrence Download

description: A dataset containing 1577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-138.91487 -31.49138,5.91487 -31.49138,5.91487 26.49138,-138.91487 26.49138,-138.91487 -31.49138))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (6441aff3-344f-486e-a4a2-f506c3bcb1ee, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862, c54097e6-0972-4acb-b849-eaeba29c917d, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 061b4f20-f241-11da-a328-b8a03c50a862, bd561840-efdc-11d9-a329-b8a03c50a862, 1016a6bc-b032-48d6-9a29-bd01de073a10, 90fd6680-349f-11d8-aa2d-b8a03c50a862)",
 "TaxonKey is Euterpe precatoria"
 ]
}

 The dataset includes 1577 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003671-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykpbkr
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 (Sphecotheres viridis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003673-250914085247600/datasets/export for details.
DOI: 10.15468/dl.phedwk
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 (Sphecotheres viridis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003675-250914085247600/datasets/export for details.
DOI: 10.15468/dl.mxbkxq
title: Occurrence Download

description: A dataset containing 120565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Gomphidae"
 ]
}

 The dataset includes 120565 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003588-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.medv6y
title: Occurrence Download

description: A dataset containing 1014 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 (Sphecotheres viridis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 1014 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003674-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17076327
title: Gold Standard and Annotation Dataset for CO2 Emissions Annotation

description: This repository contains the results of a research project which provides a benchmark dataset for extracting greenhouse gas emissions from corporate annual and sustainability reports. 

The zipped datasets file contains two datasets, gold_standard and annotation_dataset(inside the outer zip file there is a password-protected zip file containing the two datasets. To unpack, use the password is provided in the outer zip file).

Data collection



A Large Language Model (LLM) based pipeline was used to extract the greenhouse gas emissions from the reports (see columns prefixed with llm_ in annotation_dataset). The extracted emissions follow the categories Scope 1, 2 (market-based) and 2 (location-based) and 3, as defined in the GHGP protocol (see variables scope).

Annotation of the pipeline output was done in 3 phases: first by non-experts (see columns prefixed with non_expert_ in annotation_dataset), then by expert groups (columns prefixed with exp_group_ in annotation_dataset) in case of disagreement of non-experts and finally in a discussion of all experts (columns prefixed with exp__disc in annotation_dataset) in case of disagreement between expert groups. The annotation guidelines for the non-experts and experts are also included in this repository.

The annotation results from all three phases are combined to form the final benchmark dataset: gold_standard. Codebooks detailing each variable of each of the two datasets are also provided. More details about the annotation template or the data wrangling scripts can be found in the GitHub repository. 


Merging of datasets

Users can match the two datasets (gold_standard and annotation_dataset) using the variable combination of company_name, report_year and merge_id (index column). The merge_id already includes the company name and report year implicitly, but to avoid column duplication in the join operation, it should be included as join variables. For example this is useful when comparing LLM extractions to gold standard data.
DOI: 10.15468/dl.whn8ak
title: Occurrence Download

description: A dataset containing 2009375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Haliaeetus albicilla"
 ]
}

 The dataset includes 2009375 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003591-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jum5hs
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter robiniella",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003677-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytqzhu
title: Occurrence Download

description: A dataset containing 58649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bufo bufo",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 58649 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003609-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.794mm2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter robiniella",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003678-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.