cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xps23e
title: Occurrence Download

description: A dataset containing 7256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria pensylvanica (L.) M.Gómez"
 ]
}

 The dataset includes 7256 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288674-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjskas
title: Occurrence Download

description: A dataset containing 6611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-66.5332 -38.14838,-50.88867 -38.14838,-50.88867 -18.16256,-66.5332 -18.16256,-66.5332 -38.14838))",
 "TaxonKey is Rhinella Fitzinger, 1826"
 ]
}

 The dataset includes 6611 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275216-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9llmd
title: Occurrence Download

description: A dataset containing 14095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fish Collection of Natural History Museum and Institute, Chiba"
 ]
}

 The dataset includes 14095 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009967-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jad43t
title: Occurrence Download

description: A dataset containing 278853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TypeStatus is not null",
 "PublishingCountry is France"
 ]
}

 The dataset includes 278853 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281847-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mypag4
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Obesogammarus crassus (G.O.Sars, 1894))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 179 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051059-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqhj7h
title: Occurrence Download

description: A dataset containing 628425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 628425 records from 793 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271269-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skxcck
title: Occurrence Download

description: A dataset containing 4849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.23_1",
 {
 "or" : [
 "Month is February",
 "Month is July"
 ]
 },
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "Year 2016-2016"
 ]
}

 The dataset includes 4849 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0320359-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrhs8n
title: Occurrence Download

description: A dataset containing 2762723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2762723 records from 1001 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292731-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/279fb877-20e5-42cb-8db1-481079880caa
title: United Kingdom Butterfly Monitoring Scheme: species trends 2014

description: This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2014), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).
description: Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.
DOI: 10.5285/28941e2d-ccb0-4558-8454-99c692777ce9
title: United Kingdom Butterfly Monitoring Scheme: species trends 2015

description: This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2015), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).
description: Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.
DOI: 10.5285/bf56785c-0455-47d6-9f73-3798010bd31f
title: United Kingdom Butterfly Monitoring Scheme: collated indices 2015

description: Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. 

Butterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats.  

Although the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).

This dataset is updated annually and more recent versions of the UKBMS collated indices are available.
description: Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).
DOI: 10.5281/zenodo.18505452
title: Matched single-cell chromatin, transcriptome, and cell surface marker profiling uncovers epigenomic priming of cell fate in the mammary gland

description: This repository contains the datasets required to reproduce all analyses and figures from the Schwager, Mouteaux, et al. (2026) article (PubMed ID: XXXX).The associated code is deposited to Github : vallotlab/OneCell_CUTTag/
DOI: 10.5281/zenodo.18505451
title: Matched single-cell chromatin, transcriptome, and cell surface marker profiling uncovers epigenomic priming of cell fate in the mammary gland

description: This repository contains the datasets required to reproduce all analyses and figures from the Schwager, Mouteaux, et al. (2026) article (PubMed ID: XXXX).The associated code is deposited to Github : vallotlab/OneCell_CUTTag/
DOI: 10.17026/ar/h1sfar
title: Bureauonderzoek Archeologie Landgoed De Wildenborch

description: &lt;p&gt;In opdracht van Waterschap Rijn en IJssel heeft Arcadis Nederland B.V. een archeologisch bureauonderzoek uitgevoerd voor Landgoed De Wildenborch en omgeving. Op en om het landgoed heen worden diverse werkzaamheden getroffen voor de ontwikkeling en verbetering van het watersysteemherstel, waaronder het aanleggen en verwijderen van kunstwerken en het aanleggen en dempen van watergangen.&lt;/p&gt;&lt;p&gt;

Om invulling te geven aan het advies uit voorgaande onderzoeken en om de invloed van de aangepaste werkzaamheden op eventueel aanwezige archeologische resten te beoordelen, wordt een bureauonderzoek archeologie uitgevoerd.&lt;/p&gt;
DOI: 10.25824/redu/8totwq
title: Physicochemical properties and detailed lipid composition of the samples

description: The objective of this step is to characterize the project samples and understand their physical and chemical composition. The results are described in terms of: free fatty acid content and acidity value; glyceride compound content and classes; unsaponifiable matter content; fatty acid composition; free and esterified sterol content; and tocopherol content and classes.
DOI: 10.5517/ccdc.csd.cc2pqv3d
title: CCDC 2494604: Experimental Crystal Structure Determination

description: Related Article: Zhang Qichao|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18507046
title: EKOLOGIK MUAMMOLAR ,ULARNING TURLARI VA KELIB CHIQADIGAN KASALLIKLAR

description: Ushbu maqolada hozirgi zamonning eng dolzarb global muammolaridan biri — ekologik inqirozlar, ularning sabablari, turlari va oqibatlari chuqur yoritib berilgan. Ekologik muammo — bu inson faoliyati yoki tabiiy omillar natijasida atrof-muhitga salbiy ta’sir ko‘rsatadigan, biologik tizimlar barqarorligini buzadigan holatdir. Maqola 6 qismga bo‘lingan bo‘lib, unda ekologik muammolarning asosiy yo‘nalishlari — atmosfera ifloslanishi, suv resurslarining kamayishi, chiqindilar muammosi, o‘rmonlarning qisqarishi, biologik xilma-xillikning yo‘qolishi, shuningdek, ushbu muammolarni hal qilish yo‘llari batafsil ko‘rib chiqilgan. Har bir bo‘lim o‘ziga xos muammoni ilmiy asosda tahlil qilgan bo‘lib, statistik ma’lumotlar, zamonaviy ekologik xavf-xatarlar va ularning inson salomatligi, iqlim, iqtisodiyot hamda global siyosatga ta’siri haqida fikr yuritilgan. Atmosferaning ifloslanishi global isish va iqlim o‘zgarishiga olib kelayotgani, suv tanqisligi esa butun dunyo bo‘yicha sog‘liq va oziq-ovqat xavfsizligiga tahdid solayotgani, chiqindilarning esa tabiiy muhitga uzoq muddatli zarar yetkazayotgani aniq misollar orqali ko‘rsatilgan. Maqolada, shuningdek, ekologik muammolarni kamaytirish bo‘yicha bir qator tavsiyalar berilgan: ekologik qonunchilikni kuchaytirish, yashil texnologiyalarni rivojlantirish, qayta tiklanadigan energiya manbalaridan foydalanish, aholining ekologik madaniyatini oshirish va ta’lim tizimiga ekologik tarbiyani kiritish kabilar. Ushbu maqola ekologik muammolar haqida umumiy tasavvurga ega bo‘lish, ularning dolzarbligini anglash va ularni bartaraf etish yo‘llarini izlashda muhim manba bo‘lib xizmat qiladi. Bu nafaqat talabalar va ekologiya sohasida ishlovchilar, balki keng jamoatchilik uchun ham dolzarb ahamiyatga ega.
DOI: 10.5281/zenodo.18507045
title: EKOLOGIK MUAMMOLAR ,ULARNING TURLARI VA KELIB CHIQADIGAN KASALLIKLAR

description: Ushbu maqolada hozirgi zamonning eng dolzarb global muammolaridan biri — ekologik inqirozlar, ularning sabablari, turlari va oqibatlari chuqur yoritib berilgan. Ekologik muammo — bu inson faoliyati yoki tabiiy omillar natijasida atrof-muhitga salbiy ta’sir ko‘rsatadigan, biologik tizimlar barqarorligini buzadigan holatdir. Maqola 6 qismga bo‘lingan bo‘lib, unda ekologik muammolarning asosiy yo‘nalishlari — atmosfera ifloslanishi, suv resurslarining kamayishi, chiqindilar muammosi, o‘rmonlarning qisqarishi, biologik xilma-xillikning yo‘qolishi, shuningdek, ushbu muammolarni hal qilish yo‘llari batafsil ko‘rib chiqilgan. Har bir bo‘lim o‘ziga xos muammoni ilmiy asosda tahlil qilgan bo‘lib, statistik ma’lumotlar, zamonaviy ekologik xavf-xatarlar va ularning inson salomatligi, iqlim, iqtisodiyot hamda global siyosatga ta’siri haqida fikr yuritilgan. Atmosferaning ifloslanishi global isish va iqlim o‘zgarishiga olib kelayotgani, suv tanqisligi esa butun dunyo bo‘yicha sog‘liq va oziq-ovqat xavfsizligiga tahdid solayotgani, chiqindilarning esa tabiiy muhitga uzoq muddatli zarar yetkazayotgani aniq misollar orqali ko‘rsatilgan. Maqolada, shuningdek, ekologik muammolarni kamaytirish bo‘yicha bir qator tavsiyalar berilgan: ekologik qonunchilikni kuchaytirish, yashil texnologiyalarni rivojlantirish, qayta tiklanadigan energiya manbalaridan foydalanish, aholining ekologik madaniyatini oshirish va ta’lim tizimiga ekologik tarbiyani kiritish kabilar. Ushbu maqola ekologik muammolar haqida umumiy tasavvurga ega bo‘lish, ularning dolzarbligini anglash va ularni bartaraf etish yo‘llarini izlashda muhim manba bo‘lib xizmat qiladi. Bu nafaqat talabalar va ekologiya sohasida ishlovchilar, balki keng jamoatchilik uchun ham dolzarb ahamiyatga ega.
DOI: 10.15468/dl.7u5n8u
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (6ea87510-0561-11d8-b851-b8a03c50a862, c2ecae57-6701-485e-9ebd-5f87b2945cb2, f9b67ad0-9c9b-11d9-b9db-b8a03c50a862)",
 "TaxonKey is Melanoplus walshii",
 "Year 1900-2026"
 ]
}

 The dataset includes 438 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016573-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18507044
title: SIN List conclusion for substances added in the update connected to ZeroPM Deliverable 4.4

description: The excel shows the substances that were added to the update of the SIN List in October 2025. This update is connected to ZeroPM deliverable 4.4. For additional informaiton and data please visit the SIN List website SIN List
DOI: 10.5281/zenodo.18507043
title: SIN List conclusion for substances added in the update connected to ZeroPM Deliverable 4.4

description: The excel shows the substances that were added to the update of the SIN List in October 2025. This update is connected to ZeroPM deliverable 4.4. For additional informaiton and data please visit the SIN List website SIN List
DOI: 10.17026/ar/hgetep
title: Plangebied Doelpad 4 te Maasland, gemeente Midden-Delfland.
title: Archeologisch vooronderzoek: een bureauonderzoek en inventariserend veldonderzoek (verkennend booronderzoek).
title: RAAP RAPPORT 7867

description: &lt;p&gt;
In opdracht van VOF P.H.M. Suijker heeft RAAP in mei – juni 2025 een archeologisch vooronderzoek in de vorm van een bureauonderzoek en inventariserend veldonderzoek (verkennend booronderzoek) uitgevoerd voor het plangebied Doelpad 4 te Maasland in de gemeente Midden-Delfland.
&lt;p&gt;
Het onderzoek vond plaats in het kader van een omgevingsvergunning.
&lt;p&gt;
Zoals op grond van het bureauonderzoek werd verwacht ligt het plangebied in zijn geheel op een getij - inversierug. De afzettingen waar deze landschapsvorm uit bestaat worden gerekend tot de Gantellaag. In twee boringen is onder de gelamineerde kreekgeulafzettingen een laag kwelderafzettingen
aangetroffen, die tot het Laagcomplex van Delfland (Laagpakket van Wormer) worden gerekend. De kreek (Gantellaag) heeft zich ingesneden in deze kwelderafzettingen.
&lt;p&gt;
In het hele plangebied is de bodem verstoord tot in de Gantellaag, tot een diepte van 70 à 95 cm – mv.
&lt;p&gt;
Omdat de top van de kwelderafzettingen is geërodeerd door de kreek waar de inversierug uit bestaat, worden er op dit niveau geen archeologische resten uit het neolithicum meer verwacht. 
&lt;p&gt;
Omdat de bodem in het hele plangebied is verstoord tot in de Gantellaag, worden er op dat niveau geen archeologische resten vanaf de Romeinse tijd meer verwacht.
&lt;p&gt;
Omdat er in de boringen geen terplagen zijn aangetroffen en de bodem in het hele plangebied is verstoord tot in de Gantellaag worden er geen resten van een terp met resten uit de middeleeuwen of de nieuwe tijd meer verwacht.
&lt;p&gt;
Op basis van de resultaten van dit onderzoek blijkt dat in het plangebied geen archeologische resten bedreigd worden. Daarom wordt in het kader van de voorgenomen bodemingrepen geen vervolgstap uit het proces van de Archeologische Monumentenzorg (AMZ) noodzakelijk geacht.
&lt;p&gt;
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;
Dit rapport geeft (selectie)adviezen. Het is aan de bevoegde overheid, de gemeente Midden-Delfland, deze al dan niet over te nemen in de vorm van een (selectie)besluit.
&lt;p&gt;
DOI: 10.5281/zenodo.18506831
title: Dataset Macro & Micro IOT Anfis

description: The dataset used in this study contains real-time nutrient measurements of sugarcane plants collected through an IoT sensor system. The data includes variables such as temperature, soil moisture, pH, electrical conductivity, as well as macronutrient (N, P, K) and micronutrient (Zn, Mn, Fe) concentrations. This dataset is provided in a CSV format, which is machine-readable and ready for analysis. The source code for the Adaptive Neuro-Fuzzy Inference System (ANFIS) model is hosted on GitHub and is used to estimate nutrient requirements for sugarcane plants. Written in MATLAB, this code involves regression based on ANFIS to model the nonlinear relationships between soil conditions, environmental factors, and nutrient demands. The code also includes preprocessing of raw data, training the ANFIS model, and evaluating the prediction results using performance metrics such as MAE, RMSE, and R². The uploaded files consist of the raw dataset (dataset.csv) and the MATLAB code for the ANFIS model (dataset.m), which is available via the GitHub URL. This dataset and code are intended for precision agriculture research aimed at optimizing fertilization strategies based on sensor data. The source code can be used to replicate the model and conduct further analysis on nutrient data for crops using an ANFIS-based AI approach.
DOI: 10.5281/zenodo.18506832
title: Dataset Macro & Micro IOT Anfis

description: The dataset used in this study contains real-time nutrient measurements of sugarcane plants collected through an IoT sensor system. The data includes variables such as temperature, soil moisture, pH, electrical conductivity, as well as macronutrient (N, P, K) and micronutrient (Zn, Mn, Fe) concentrations. This dataset is provided in a CSV format, which is machine-readable and ready for analysis. The source code for the Adaptive Neuro-Fuzzy Inference System (ANFIS) model is hosted on GitHub and is used to estimate nutrient requirements for sugarcane plants. Written in MATLAB, this code involves regression based on ANFIS to model the nonlinear relationships between soil conditions, environmental factors, and nutrient demands. The code also includes preprocessing of raw data, training the ANFIS model, and evaluating the prediction results using performance metrics such as MAE, RMSE, and R². The uploaded files consist of the raw dataset (dataset.csv) and the MATLAB code for the ANFIS model (dataset.m), which is available via the GitHub URL. This dataset and code are intended for precision agriculture research aimed at optimizing fertilization strategies based on sensor data. The source code can be used to replicate the model and conduct further analysis on nutrient data for crops using an ANFIS-based AI approach.