cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17060614
title: Black Sea Gelatinous zooplankton data from the 'BRIDGE-BS Dec 2022' cruise performed in December 2022

description: The dataset contains data from samples collected in December 2022 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Zooplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. Sorted gelatinous organisms were identified and some measurements (diameter, aboral length, wide length, total length, etc) were measured on the board. For wet weight measurements, organisms were frozen separately at -18 0C. In the institute laboratory, the wet weight analysis was done with a precision balance (0,0001 gr resolution). The rest of the sample were fixed with 5% borax-buffered formaldehyde in 250 ml bottles for the other analysis. The data file is in OBIS format.
DOI: 10.5281/zenodo.17060615
title: Black Sea Gelatinous zooplankton data from the 'BRIDGE-BS Dec 2022' cruise performed in December 2022

description: The dataset contains data from samples collected in December 2022 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Zooplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. Sorted gelatinous organisms were identified and some measurements (diameter, aboral length, wide length, total length, etc) were measured on the board. For wet weight measurements, organisms were frozen separately at -18 0C. In the institute laboratory, the wet weight analysis was done with a precision balance (0,0001 gr resolution). The rest of the sample were fixed with 5% borax-buffered formaldehyde in 250 ml bottles for the other analysis. The data file is in OBIS format.
DOI: 10.15468/dl.ny38rz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium glaucum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028756-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17060736
title: Black Sea Gelatinous zooplankton data from the 'BRIDGE-BS-DEKOSIM Jun 2023' cruise performed in June 2023

description: The dataset contains data from samples collected in June 2023 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Zooplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. Sorted gelatinous organisms were identified and some measurements (diameter, aboral length, wide length, total length, etc) were measured on the board. For wet weight measurements, organisms were frozen separately at -18 0C. In the institute laboratory, the wet weight analysis was done with a precision balance (0,0001 gr resolution). The rest of the sample were fixed with 5% borax-buffered formaldehyde in 250 ml bottles for the other analysis. The data file is in OBIS format.
DOI: 10.5281/zenodo.17060737
title: Black Sea Gelatinous zooplankton data from the 'BRIDGE-BS-DEKOSIM Jun 2023' cruise performed in June 2023

description: The dataset contains data from samples collected in June 2023 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Zooplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. Sorted gelatinous organisms were identified and some measurements (diameter, aboral length, wide length, total length, etc) were measured on the board. For wet weight measurements, organisms were frozen separately at -18 0C. In the institute laboratory, the wet weight analysis was done with a precision balance (0,0001 gr resolution). The rest of the sample were fixed with 5% borax-buffered formaldehyde in 250 ml bottles for the other analysis. The data file is in OBIS format.
DOI: 10.15468/dl.4fz98x
title: Occurrence Download

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

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028757-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17060821
title: Black Sea ichthyoplankton data from the 'MARMOD-FAZ2 DEKOSIM BRIDGE Sep 2021' cruise performed in September 2021

description: The dataset contains data from samples collected in September 2021 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 0.5 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.5281/zenodo.17060822
title: Black Sea ichthyoplankton data from the 'MARMOD-FAZ2 DEKOSIM BRIDGE Sep 2021' cruise performed in September 2021

description: The dataset contains data from samples collected in September 2021 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 0.5 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.15468/dl.qjrzyy
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Carex comans)"
 ]
}

 The dataset includes 531 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028759-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17060954
title: Black Sea ichthyoplankton data from the 'BRIDGE-BS Dec 2022' cruise performed in December 2022

description: The dataset contains data from samples collected in December 2022 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 0.5 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.5281/zenodo.17060955
title: Black Sea ichthyoplankton data from the 'BRIDGE-BS Dec 2022' cruise performed in December 2022

description: The dataset contains data from samples collected in December 2022 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 0.5 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.15468/dl.ndj49n
title: Occurrence Download

description: A dataset containing 2952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is one of (Zanthoxylum, Chiroptera)",
 "Year 1990-2025"
 ]
}

 The dataset includes 2952 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028758-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17061036
title: Black Sea ichthyoplankton data from the 'BRIDGE-BS-DEKOSIM Jun 2023' cruise performed in June 2023

description: The dataset contains data from samples collected in June 2023 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.15468/dl.t99wqp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Suthora webbiana",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028760-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17061038
title: Black Sea ichthyoplankton data from the 'BRIDGE-BS-DEKOSIM Jun 2023' cruise performed in June 2023

description: The dataset contains data from samples collected in June 2023 onboard of R/V Bilim-2, at different stations located in Turkish EEZ of Black Sea. The sampling was performed within the BRIDGE-BS project (EU H2020, grant agreement No 101000240). Ichthyoplankton samples were collected by towing a WP-2 net with a 200 µm mesh size and a 57 cm mouth diameter. Lead pieces were attached to the collector to minimize the displacement of the net with the currents. On windy days, the vessel drifted from the point where the net was lowered down. In both cases, the wire angle was calculated and the length of the wire was corrected to collect the whole water column. Hauls were made with a speed of 1 m/s to minimize the spilling out of the water. For the nearshore stations, the net was towed vertically from 4-5 m above the bottom to the surface. For the offshore stations, the net was towed from the start of an anoxic layer (sigma-t, 16.2 kg/m3). The gelatinous organisms were sorted from the sample in the plankton net. After sorted geletinous organism, samples were  fixed with 5% borax-buffered formaldehyde in 250 ml bottles. In the Institute laboratory,  fish eggs and larvae were sorted and counted with the help of Olympus SZ6-SZX12  stereoscopic microscopes. Identification of fish larvae based on morphometric and meristic characters was done at the lowest possible taxonomic level, according to Leis and Carson-Ewart (2000), Demir (1957, 1958, 1959, 1969), Mater ve Çoker (2002), Russell (1976), Rodriguez et al.(2017) and Vodyanitsky-Kazanova(1954). The data file is in OBIS format.
DOI: 10.5281/zenodo.17223641
title: ACEM 8526 - supplementary data
DOI: 10.5281/zenodo.17223640
title: ACEM 8526 - supplementary data
DOI: 10.15468/dl.mcwf7x
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Macroprotodon mauritanicus)",
 "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 200 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028762-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qgq2b
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ampelopteris prolifera",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 246 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028763-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnesuv
title: Occurrence Download

description: A dataset containing 106460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pacifastacus leniusculus)",
 "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 106460 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028733-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysjgks
title: Occurrence Download

description: A dataset containing 4959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cunninghamia lanceolata"
 ]
}

 The dataset includes 4959 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028761-250920141307145/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.30231088
title: Raw Data_A Study on the Influencing Factors of Higher Vocational College Students’ Academic Engagement in English Learning Facilitated by AI Technology

description: The dataset, "Raw Data_A Study on the Influencing Factors of Higher Vocational College Students’ Academic Engagement in English Learning Facilitated by AI Technology", was collected from three higher vocational colleges in China using Wenjuanxing (https://www.wjx.cn/) between November and December 2024. After excluding invalid responses, 1538 valid questionnaires were analyzed. The study focused on key psychological factors, including AI affordance, AI literacy, teacher support, AI trust, foreign language enjoyment and academic engagement, to explore their impact under the pressures of modern society and education. This dataset provides valuable insights for understanding the psychological state and development of higher vocational college students.