cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.972690
title: Tree-ring width measurements of Douglas fir from Kaiserslautern from 1917 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
description: Tree ring failures inserted in KAI20009 in 1948, in KAI20009 in 1956, in KAI20005 and KAI20011 in 2018, each with value 3
DOI: 10.1594/pangaea.972691
title: Tree-ring width measurements of Douglas fir from Neustaedtlein am Forst from 1912 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972692
title: Tree-ring width measurements of Douglas fir from Muenchweiler an der Rodalp from 1920 to 2019

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972693
title: Tree-ring width measurements of Douglas fir from Degerloch from 1916 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
description: Missing tree rings inserted in DEGE0009 and DEGE0014 in 1973, in DEGE0001, DEGE0006, DEGE0008 and DEGE0011 in 1976, in DEGE0006 and DEGE0011 in 1977, each with value 3
DOI: 10.1594/pangaea.972694
title: Tree-ring width measurements of Douglas fir from Kaiserslautern from 1918 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
description: Tree ring failures inserted in KAI10005 in 1948, in KAI10013 in 1952, in KAI10007 in 2019, in KAI10007 and KAI10014 in 2020, in KAI10004, KAI10007 and KAI10014 in 2021, each with value 3
DOI: 10.1594/pangaea.972695
title: Tree-ring width measurements of Douglas fir from Deggingen from 1903 to 2022

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972696
title: Tree-ring width measurements of Douglas fir from Otzweiler from 1925 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
description: Tree ring failures inserted in OTZW0010 and OTZW0012 in 1958, in OTZW0010 in 2006, each with value 3
DOI: 10.1594/pangaea.972697
title: Tree-ring width measurements of Douglas fir from Metzingen from 1919 to 2018

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972698
title: Tree-ring width measurements of Douglas fir from Drachhausen from 1936 to 2022

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
description: Tree ring failures inserted in DRA20005 in 1956, in DRA20014 in 1963, each with value 3
DOI: 10.1594/pangaea.972699
title: Tree-ring width measurements of Douglas fir from Herbrechtingen from 1922 to 2022

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972700
title: Tree-ring width measurements of Douglas fir from Bebenhausen from 1911 to 2023

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972701
title: Tree-ring width measurements of Douglas fir from Kaiserslautern from 1917 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972702
title: Tree-ring width measurements of Douglas fir from Elmstein from 1917 to 2021

description: Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
DOI: 10.1594/pangaea.972830
title: Spatial distribution of dissolved free amino acid in three estuaries from the Gulf of Cadiz

description: Our study focused on three estuaries in the Gulf of Cadiz: Guadalquivir, Guadiana, and Tinto-Odiel. These estuaries, influenced by semi-arid Mediterranean conditions and dam regulations, each have distinct characteristics. The Guadalquivir River has the highest discharge and significant anthropogenic impacts. The Guadiana River features a narrow channel and an extensive wetland. The Tinto-Odiel estuary, known for severe pollution due to mining, has a highly acidic environment and unique water chemistry. We collected surface water samples in July 2017 from coastal and tidal sites in each estuary, capturing data along a salinity gradient. Samples were analyzed for dissolved free amino acids (DFAA) using high-performance liquid chromatography (HPLC) with fluorescence detection. Amino acids were derivatized with o-phthalaldehyde (OPA) and analyzed for concentrations. Our study focused on three Iberian Atlantic estuaries -Guadalquivir, Guadiana, and Tinto-Odiel - that differ in hydrology, land use and DOM sources. We studied the longitudinal distribution of Dissolved Free Amino Acids (DFAA) and their response to tidal cycles across these estuaries. The study was performed during summer 2017.
description: * Key FindingsDOM Characteristics: Each estuary showed distinct DOM profiles: humic-like materials in Guadalquivir and Guadiana, and protein-like materials in Tinto-Odiel.Amino Acid Analysis: Variations in DFAA concentrations across estuaries reflect differences in environmental and anthropogenic influences.
DOI: 10.1594/pangaea.972839
title: Radiosonde measurements from station Tateno (2024-07)
DOI: 10.1594/pangaea.972840
title: Meteorological synoptical observations from station Tateno (2024-07)
DOI: 10.1594/pangaea.972841
title: Basic and other measurements of radiation at station Tateno (2024-07)
DOI: 10.5281/zenodo.13884268
title: TCM_RC_result

description: In situ Jphi calculated from magnetic field data of THEMIS, MMS and Cluster, using curlometer method. And some other parameters. This is not final data and needs to be filtered and processed.

Linked to: https://github.com/XinTanCN/Code-for-T_M_C-RC-paper
DOI: 10.5281/zenodo.13884267
title: TCM_RC_result

description: In situ Jphi calculated from magnetic field data of THEMIS, MMS and Cluster, using curlometer method. And some other parameters. This is not final data and needs to be filtered and processed.

Linked to: https://github.com/XinTanCN/Code-for-T_M_C-RC-paper
DOI: 10.5281/zenodo.14006124
title: TCM_RC_result

description: In situ Jphi calculated from magnetic field data of THEMIS, MMS and Cluster, using curlometer method. And some other parameters. This is not final data and needs to be filtered and processed.

Linked to: https://github.com/XinTanCN/Code-for-T_M_C-RC-paper
DOI: 10.6084/m9.figshare.27322497
title: Data from: Bio-physical determinants of sediment accumulation on an offshore coral reef: a snapshot study

description: This data record contains data associated with the publication:Tebbett SB, Schlaefer JA, Bowden CL, Collins WP, Hemingson CR, Ling SD, Morais J, Morais RA, Siqueira AC, Streit RP, Swan S, Bellwood DR (2023) Bio-physical determinants of sediment accumulation on an offshore coral reef: a snapshot study. Science of the Total Environment 895: 165188 https://doi.org/10.1016/j.scitotenv.2023.165188In this study we examined the nature of sediment accumulation on a coral reef, with particular focus on sediments in algal turfs. The study was conducted at Lizard Island, a mid-shelf reef on Australia’s Great Barrier Reef. The study focused on a cross-habitat/depth comparison of sediment dynamics and associated bio-physical drivers over a short temporal snapshot (6-days). A study site between Bird and South Island was established, with three transects ~25 m apart that were parallel to each other across the windward reef profile. These transects extended from the back reef, across the flat to the outer-reef flat/crest at 3 m and then at 4.5, 6, 9, and 12 m down the reef slope. The sampling was particularly focused on the 3-12 m reef section, while sampling across other habitats was conducted to place the results of this intensely sampled reef section into a broader spatial context. The data analysed in this study on sediment dynamics included sediment accumulation rates as measured by TurfPods, sediment trapping rates as measured by sediment traps, sediment standing stock in algal turfs measured using vacuum sampling, and turbidity measurements from a Seapoint Tu sensor. The biophysical drivers quantified included water current speed and direction using Marrotte HS drag-tilt current meters, wave pressure using RBRsolo3 pressure sensors, and parrotfish sediment reworking based on underwater visual censuses of the herbivorous fish community along 50 m transects. CSV file 1 contains the raw data measured from TurfPods and Sediment traps. CSV file 2 contains the raw data on turf particulate loads measured using vacuum sampling. CSV file 3 contains the raw abundance data for the nominally herbivorous fish community. CSV file 4 contains the raw pressure sensor data. CSV file 5 contains the raw turbidity data from the Seapoint Tu sensor drops. CSV File 6 contains the raw current meter data. For full methodological details please see the published manuscript and associated supporting information (outlined above).
DOI: 10.6084/m9.figshare.27322497.v1
title: Data from: Bio-physical determinants of sediment accumulation on an offshore coral reef: a snapshot study

description: This data record contains data associated with the publication:Tebbett SB, Schlaefer JA, Bowden CL, Collins WP, Hemingson CR, Ling SD, Morais J, Morais RA, Siqueira AC, Streit RP, Swan S, Bellwood DR (2023) Bio-physical determinants of sediment accumulation on an offshore coral reef: a snapshot study. Science of the Total Environment 895: 165188 https://doi.org/10.1016/j.scitotenv.2023.165188In this study we examined the nature of sediment accumulation on a coral reef, with particular focus on sediments in algal turfs. The study was conducted at Lizard Island, a mid-shelf reef on Australia’s Great Barrier Reef. The study focused on a cross-habitat/depth comparison of sediment dynamics and associated bio-physical drivers over a short temporal snapshot (6-days). A study site between Bird and South Island was established, with three transects ~25 m apart that were parallel to each other across the windward reef profile. These transects extended from the back reef, across the flat to the outer-reef flat/crest at 3 m and then at 4.5, 6, 9, and 12 m down the reef slope. The sampling was particularly focused on the 3-12 m reef section, while sampling across other habitats was conducted to place the results of this intensely sampled reef section into a broader spatial context. The data analysed in this study on sediment dynamics included sediment accumulation rates as measured by TurfPods, sediment trapping rates as measured by sediment traps, sediment standing stock in algal turfs measured using vacuum sampling, and turbidity measurements from a Seapoint Tu sensor. The biophysical drivers quantified included water current speed and direction using Marrotte HS drag-tilt current meters, wave pressure using RBRsolo3 pressure sensors, and parrotfish sediment reworking based on underwater visual censuses of the herbivorous fish community along 50 m transects. CSV file 1 contains the raw data measured from TurfPods and Sediment traps. CSV file 2 contains the raw data on turf particulate loads measured using vacuum sampling. CSV file 3 contains the raw abundance data for the nominally herbivorous fish community. CSV file 4 contains the raw pressure sensor data. CSV file 5 contains the raw turbidity data from the Seapoint Tu sensor drops. CSV File 6 contains the raw current meter data. For full methodological details please see the published manuscript and associated supporting information (outlined above).
DOI: 10.15468/dl.6s9awj
title: Occurrence Download

description: A dataset containing 121852349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-104.77503 17.2012,-102.89364 5.91291,-93.93468 -3.31481,-81.66091 -4.38989,-66.87863 -1.88138,-59.3531 4.3003,-60.51777 7.88388,-64.01176 15.14064,-69.83509 22.30781,-77.89815 27.77277,-91.51577 26.07057,-102.08734 24.36837,-104.77503 17.2012))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 121852349 records from 2378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011566-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.