cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d5t5f5
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Matsucoccus"
 ]
}

 The dataset includes 379 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024813-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8p85o
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columnea microcalyx Hanst.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 151 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007170-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abqqmg
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trogoderma granarium Everts, 1898)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1930",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Kenya)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 75 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024818-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88g28m
title: Occurrence Download

description: A dataset containing 2085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ixobrychus cinnamomeus (Gmelin, 1789)"
 ]
}

 The dataset includes 2085 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007170-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.653b35
title: Occurrence Download

description: A dataset containing 15912 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tomicus P.A.Latreille, 1802"
 ]
}

 The dataset includes 15912 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024820-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8y9cc
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gallinago andina Taczanowski, 1875",
 "Geometry POLYGON((-84.023437 -3.337953,-84.023437 -18.646245,-69.082031 -18.646245,-69.082031 -3.337953,-84.023437 -3.337953))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 236 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007170-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duccgn
title: Occurrence Download

description: A dataset containing 26864980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26864980 records from 2873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024815-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyzzw3
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042432-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.453q4t
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa micrantha subsp. micrantha)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 94 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042460-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134181
title: Micropollutants in the River Maipo and Aconcagua in central Chile

description: This repository encompasses the environmental concentrations of micropollutants, such as pesticides, pharmaceuticals, and industrial chemicals, co-occurring in the River Maipo and Aconcagua.
DOI: 10.5281/zenodo.13134182
title: Micropollutants in the River Maipo and Aconcagua in central Chile

description: This repository encompasses the environmental concentrations of micropollutants, such as pesticides, pharmaceuticals, and industrial chemicals, co-occurring in the River Maipo and Aconcagua.
DOI: 10.5281/zenodo.13134217
title: Extracts Russia

description: Extracts of interviews from Russian case study. Extracted using Atlas.ti software.
DOI: 10.5281/zenodo.13134218
title: Extracts Russia

description: Extracts of interviews from Russian case study. Extracted using Atlas.ti software.
DOI: 10.15468/dl.37wrbe
title: Occurrence Download

description: A dataset containing 1184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clinidium Kirby, 1830"
 ]
}

 The dataset includes 1184 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042464-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134241
title: Düsseldorf-Kaiserswerth Löwen Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.curfxs
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rumex japonicus Houtt.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1017 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042462-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134110
title: Tuta Absoluta Robotic Traps Dataset

description: This dataset focuses on enabling Tuta absoluta detection, necessitated annotated images. It was created as part of the H2020 PestNu project (No. 101037128) using the SpyFly AI-robotic trap from Agrorobotica. The SpyFly trap features a color camera (Svpro 13MP, sensor: Sony 1/3” IMX214) with a resolution of 3840 × 2880 for high-quality image capture. The camera was positioned 15 cm from the glue-paper to capture the entire adhesive board. In Total 217 images were captured.

Expert agronomists annotated the images using Roboflow, labeling a total of 6787 T. absoluta insects, averaging 62.26 annotations per image. Images without insects were excluded, resulting in 109 annotated images, one per day.

The dataset was split into training and validation subsets with an 80–20% ratio, leading to 87 images for training and 22 for validation.  The dataset is organized into two main folders: “0_captured_dataset" contains the original 217 .jpg images. "1_annotated_dataset" includes the images and the annotated data, split into separate subfolders for training and validation. The Tuta absoluta count in each subset can be seen in the following table:




Set
Images
Tuta Absoluta Instances


Training
87
5344


Validation
22
1443


Total
109
6787
DOI: 10.5281/zenodo.13134109
title: Tuta Absoluta Robotic Traps Dataset

description: This dataset focuses on enabling Tuta absoluta detection, necessitated annotated images. It was created as part of the H2020 PestNu project (No. 101037128) using the SpyFly AI-robotic trap from Agrorobotica. The SpyFly trap features a color camera (Svpro 13MP, sensor: Sony 1/3” IMX214) with a resolution of 3840 × 2880 for high-quality image capture. The camera was positioned 15 cm from the glue-paper to capture the entire adhesive board. In Total 217 images were captured.

Expert agronomists annotated the images using Roboflow, labeling a total of 6787 T. absoluta insects, averaging 62.26 annotations per image. Images without insects were excluded, resulting in 109 annotated images, one per day.

The dataset was split into training and validation subsets with an 80–20% ratio, leading to 87 images for training and 22 for validation.  The dataset is organized into two main folders: “0_captured_dataset" contains the original 217 .jpg images. "1_annotated_dataset" includes the images and the annotated data, split into separate subfolders for training and validation. The Tuta absoluta count in each subset can be seen in the following table:




Set
Images
Tuta Absoluta Instances


Training
87
5344


Validation
22
1443


Total
109
6787
DOI: 10.6084/m9.figshare.21206830
title: Preliminary assessment of heavy metals intake via food in CKDu affected Uddanam region of Srikakulam, Andhra Pradesh, India

description: The present study aimed to assess metal/heavy metal intake by the population via food environment of the Uddanam region, a hotspot for chronic kidney disease of uncertain aetiology (CKDu) in India. The food samples included rice/paddy, marine/freshwater fish, green gram/black gram (whole), and green leafy vegetables (GLVs, i.e. amaranth/spinach). These were analysed for metal/heavy metal (chromium, nickel, copper, arsenic, lead, magnesium, calcium, aluminium, manganese, iron, zinc, barium, cadmium, mercury, and uranium) content using standard procedures. The total heavy metal intake was calculated as a sum of the intake from each food source. The daily dietary intake was compared to safe intake levels (from the Institute of Medicine of the National Academies and National Institute of Nutrition). The intake was higher than safe levels for lead, chromium, and manganese. It is advisable to reduce heavy metal exposure by adopting agricultural practices and public health interventions in terms of diet.
DOI: 10.6084/m9.figshare.21206830.v1
title: Preliminary assessment of heavy metals intake via food in CKDu affected Uddanam region of Srikakulam, Andhra Pradesh, India

description: The present study aimed to assess metal/heavy metal intake by the population via food environment of the Uddanam region, a hotspot for chronic kidney disease of uncertain aetiology (CKDu) in India. The food samples included rice/paddy, marine/freshwater fish, green gram/black gram (whole), and green leafy vegetables (GLVs, i.e. amaranth/spinach). These were analysed for metal/heavy metal (chromium, nickel, copper, arsenic, lead, magnesium, calcium, aluminium, manganese, iron, zinc, barium, cadmium, mercury, and uranium) content using standard procedures. The total heavy metal intake was calculated as a sum of the intake from each food source. The daily dietary intake was compared to safe intake levels (from the Institute of Medicine of the National Academies and National Institute of Nutrition). The intake was higher than safe levels for lead, chromium, and manganese. It is advisable to reduce heavy metal exposure by adopting agricultural practices and public health interventions in terms of diet.
DOI: 10.15468/dl.xw2j8g
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Omoglymmius americanus (Laporte, 1836)"
 ]
}

 The dataset includes 154 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042466-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88t597
title: Occurrence Download

description: A dataset containing 2566384 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aphelocoma californica (Vigors, 1839))"
 ]
}

 The dataset includes 2566384 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042461-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y94j7
title: Occurrence Download

description: A dataset containing 8642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Triplaris americana L."
 ]
}

 The dataset includes 8642 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042463-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djw2jv
title: Occurrence Download

description: A dataset containing 12441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scleranthus annuus subsp. annuus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 12441 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042465-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5159/iqb_fundus_v1
title: Die Rolle familialer Unterstützung beim Erwerb von Diskurs- und Schreibfähigkeiten in der Sekundarstufe I (FUnDuS)
title: The Role of Family Support in the Acquisition of Discourse and Writing Abilities During the First Stage of Secondary Education (FUnDuS)

description: Mündliche und schriftliche Argumentationskompetenz stellt eine zentrale Bedingung für schulischen Erfolg dar. Mit dem Projekt wurden Formen der Eltern-Kind-Interaktion identifiziert, die den Erwerb von Argumentationskompetenz begünstigen. Damit tragen sie sowohl zur Erklärung primärer sozialer Disparitäten als auch zur Aufdeckung von Ressourcen zur Förderung der Argumentationskompetenz in der Familie bei. Diese sind auch in sozial schwächeren Familien mobilisierbar. In dem Projekt wurden die Erkenntnisse über den Erwerbsverlauf und -kontext (mündlicher, schriftlicher, rezeptiver und produktiver) argumentativer Kompetenzen von der fünften Klassenstufe bis zum Ende der Pflichtschulzeit beschrieben. Die gewonnenen Erkenntnisse mündeten in die Konzeption, Durchführung und Evaluation eines Elterntrainings, das als eine Präventionsmaßnahme auf die Verbesserung der Lernvoraussetzungen weniger privilegierter Kindern abzielte. (Projekt/IQB)
description: Oral and written reasoning skills are a central prerequisite for academic achievement. The project identified some forms of parent child interaction that facilitate the acquisition of reasoning skills, therefore offering an explanation for primary social disparities and discovering resources that would aid reasoning skills in the family. Resources can also be mobilized in socially disadvantaged families. The project described the acquisition and context of (oral, written, receptive and productive) reasoning skills from fifth grade throughout compulsory education. Project findings resulted in conception, implementation and evaluation of a parent training program – a preventive measure aimed at improving the educational environment of less privileged children. (IQB)
description: SelfAdministeredQuestionnaire.Paper
description: MeasurementsAndTests.Educational
description: Longitudinal.CohortEventBased
description: Quasi-Experimentelles Design
description: Quasi-Experimental Design
description: Schüler der Jahrgangsstufen 5, 6, 7 und 9 (N=1.465);
Eltern (N=1.054);
Schulen (N=29)
description: Students in grades 5, 6, 7, and 9 (N=1,465);
Parents (N=1,054);
Schools (N=29)
description: Kombination aus Wahrscheinlichkeit- und Nicht-Wahrscheinlichkeitsauswahl
description: Mixed probability and non-probability Sample
description: Publikationsort: Berlin
description: Publication Place: Berlin
description: Erhebungseinheiten: Eltern; Schüler###
description: Survey Unit: Parents; Students###
description: Availability Type: Delivery
description: Beantragung nötig: https://www.iqb.hu-berlin.de/fdz/fdz/Datenzugang/SUF-Antrag/FormularSUFs
description: application required: https://www.iqb.hu-berlin.de/fdz/fdz/Datenzugang/SUF-Antrag/FormularSUFs
DOI: 10.15468/dl.u3kfwa
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sepioteuthis lessoniana Ferussac, 1831,1830)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 118 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gudu7b
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sepioteuthis lessoniana Ferussac, 1831,1830)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 118 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042468-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13133914
title: waldmonitoring.ch: NDVI difference rasters for annual forest change in Switzerland (Sentinel 2 based): 2016 - 2023

description: NDVI difference rasters for annual forest change in Switzerland (Sentinel 2 based): 2016 - 2023

Date format: GeoTIFFData type: Int16 - Sixteen bit signed integer*Spatial Resolution: 10 x 10 mSpatial Extent: Switzerland and Liechtenstein, masked with swisstopo swissTLM3D Forest Mask (2021) Coordinate Reference System: EPSG:2056 - CH1903+ / LV95, Swiss. Obl. Mercator*: NDVI Difference Values (-1 to 1) are multiplied by 10'000 to allow using Integer 16 bit vs. Float 32 bit while maintaining a precision of 5 digits. The values have to be interpreted accordingly: -10'000 means an NDVI difference of -1, +10'000 an NDVI difference of +0.

The NDVI difference rasters for annual forest change in Switzerland are created by using Sentinel 2 based NDVI composites (Normalized Difference Vegetation Index). The code for the generating method can be found in the waldmonitoring-repository, the method itself is also described and translated in further detail in the corresponding waldmonitoring-wiki: For the automatic detection of areas of change, the differences between two years were examined using the NDVI. In order to automatically filter out cloudy images, the maximum NDVI value of all available images of the summer months (June - August) was used for each pixel (10 x 10 m). During this time, practically all the vegetation is green. This results in almost cloud-free, annual raster images with the maximum NDVI ("NDVI maximum composite"). The difference between two years is formed from these composites. The difference values accordingly reflect the strength of the change. 

As an example for interpretation, values of -0.1 or smaller (closer to -1.0) indicate strong forest changes (e.g. clearing), whereas positive values indicate vegetation regeneration or re-greening of previously unvegetated areas. Using a threshold value (we suggest -0.06 for forest applications), areas with considerable negative change can be separated out and be vectorized (converted to polygons) to create a dataset that can be queried.
DOI: 10.5281/zenodo.13133915
title: waldmonitoring.ch: NDVI difference rasters for annual forest change in Switzerland (Sentinel 2 based): 2016 - 2023

description: NDVI difference rasters for annual forest change in Switzerland (Sentinel 2 based): 2016 - 2023

Date format: GeoTIFFData type: Int16 - Sixteen bit signed integer*Spatial Resolution: 10 x 10 mSpatial Extent: Switzerland and Liechtenstein, masked with swisstopo swissTLM3D Forest Mask (2021) Coordinate Reference System: EPSG:2056 - CH1903+ / LV95, Swiss. Obl. Mercator*: NDVI Difference Values (-1 to 1) are multiplied by 10'000 to allow using Integer 16 bit vs. Float 32 bit while maintaining a precision of 5 digits. The values have to be interpreted accordingly: -10'000 means an NDVI difference of -1, +10'000 an NDVI difference of +0.

The NDVI difference rasters for annual forest change in Switzerland are created by using Sentinel 2 based NDVI composites (Normalized Difference Vegetation Index). The code for the generating method can be found in the waldmonitoring-repository, the method itself is also described and translated in further detail in the corresponding waldmonitoring-wiki: For the automatic detection of areas of change, the differences between two years were examined using the NDVI. In order to automatically filter out cloudy images, the maximum NDVI value of all available images of the summer months (June - August) was used for each pixel (10 x 10 m). During this time, practically all the vegetation is green. This results in almost cloud-free, annual raster images with the maximum NDVI ("NDVI maximum composite"). The difference between two years is formed from these composites. The difference values accordingly reflect the strength of the change. 

As an example for interpretation, values of -0.1 or smaller (closer to -1.0) indicate strong forest changes (e.g. clearing), whereas positive values indicate vegetation regeneration or re-greening of previously unvegetated areas. Using a threshold value (we suggest -0.06 for forest applications), areas with considerable negative change can be separated out and be vectorized (converted to polygons) to create a dataset that can be queried.