cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29524129
title: Trophic plasticity and invasive success: dynamic feeding strategies of the signal crayfish in Croatian rivers

description: The invasive signal crayfish (<i>Pacifastacus leniusculus</i>), a species of high concern in European freshwaters, represents a substantial threat to native crayfish species and freshwater ecosystems. Its widest distribution in Croatia is observed in the lowland Drava River and the karstic Korana River, where signal crayfish populations have occurred for over a decade. Populations of native noble crayfish and narrow-clawed crayfish have been completely displaced in the long-term invaded sites at both rivers, while drastic reduction of native crayfish has been observed at the active invasion fronts of the Korana River. As the signal crayfish continues to invade new freshwater sections, we aimed to evaluate its diet and trophic niche to assess its trophic dynamics across various invasion stages. We sampled signal crayfish and its major potential food sources at invasion core sites at Drava and Korana Rivers, as well as the active invasion front of the Korana River. Samples were analysed on their stable carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotopes to evaluate the signal crayfish food source preferences and trophic niche widths. Our results indicate that its diet preferences and trophic niche are highly dynamic and vary with invasion stage and local environmental conditions. In the Drava River, signal crayfish showed a strong preference for animal-based food sources, coupled with a wide trophic niche width and low intraspecific competition. At Korana River invasion core, high crayfish densities were associated with a contracted trophic niche, and a predominant reliance on periphyton. In contrast a broader trophic niche at the invasion front was observed, showing a more generalist feeding strategy. Additionally, potential predation on the native narrow-clawed crayfish was observed. Our findings highlight the trophic plasticity and adaptability of the signal crayfish, explaining its invasive success, and provide a broader understanding of invasive species dynamics in European freshwaters.
DOI: 10.6084/m9.figshare.29524129.v1
title: Trophic plasticity and invasive success: dynamic feeding strategies of the signal crayfish in Croatian rivers

description: The invasive signal crayfish (<i>Pacifastacus leniusculus</i>), a species of high concern in European freshwaters, represents a substantial threat to native crayfish species and freshwater ecosystems. Its widest distribution in Croatia is observed in the lowland Drava River and the karstic Korana River, where signal crayfish populations have occurred for over a decade. Populations of native noble crayfish and narrow-clawed crayfish have been completely displaced in the long-term invaded sites at both rivers, while drastic reduction of native crayfish has been observed at the active invasion fronts of the Korana River. As the signal crayfish continues to invade new freshwater sections, we aimed to evaluate its diet and trophic niche to assess its trophic dynamics across various invasion stages. We sampled signal crayfish and its major potential food sources at invasion core sites at Drava and Korana Rivers, as well as the active invasion front of the Korana River. Samples were analysed on their stable carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotopes to evaluate the signal crayfish food source preferences and trophic niche widths. Our results indicate that its diet preferences and trophic niche are highly dynamic and vary with invasion stage and local environmental conditions. In the Drava River, signal crayfish showed a strong preference for animal-based food sources, coupled with a wide trophic niche width and low intraspecific competition. At Korana River invasion core, high crayfish densities were associated with a contracted trophic niche, and a predominant reliance on periphyton. In contrast a broader trophic niche at the invasion front was observed, showing a more generalist feeding strategy. Additionally, potential predation on the native narrow-clawed crayfish was observed. Our findings highlight the trophic plasticity and adaptability of the signal crayfish, explaining its invasive success, and provide a broader understanding of invasive species dynamics in European freshwaters.
DOI: 10.6084/m9.figshare.29649598
title: Evidence of nearshore in-lake spawning Walleye in the central basin of Lake Erie

description: Walleye <i>Sander vitreus</i> are economically and ecologically vital to Lake Erie and have multiple spawning stocks that contribute to the lakewide population. These unique Walleye stocks typically spawn in discrete spawning aggregations in riverine and shallow, open-lake reef habitats during springtime in the western, eastern, and central basins. Yet, most spawning research has been conducted in the western and eastern basins. Therefore, the goal of our study was to document evidence of Walleye utilizing a central basin nearshore reef for reproduction. We used gill nets from 20 March to 15 May 2012, on Hardy Point Reef (HPR; near Fairport Harbor, Ohio) to collect spawning Walleye. Larval light traps and egg mats were deployed to capture fertilized eggs and newly hatched larvae. We captured 281 actively spawning Walleye using overnight-set gill nets from HPR. Five fertilized Walleye eggs and two larval Walleye were captured from HPR. Our study provided evidence that successful Walleye spawning occurred at HPR in the central basin of Lake Erie. Further research should identify potential additional Walleye spawning locations in the central basin and quantify these contributions to the Lake Erie population to help facilitate lake wide management and preservation of spawning stocks. Actively spawning Walleye using overnight-set gill nets and fertilized Walleye eggs were captured at Hardy Point Reef, the first identified spawning location of Walleye in the Central Basin of Lake Erie.This paper documents evidence that Walleye are successfully spawning in the Central Basin of Lake Erie, therefore potentially contributing the overall Lake Erie Walleye population.Future research aims to examine the additional spawning locations of Walleye in the Central Basin of Lake Erie. Actively spawning Walleye using overnight-set gill nets and fertilized Walleye eggs were captured at Hardy Point Reef, the first identified spawning location of Walleye in the Central Basin of Lake Erie. This paper documents evidence that Walleye are successfully spawning in the Central Basin of Lake Erie, therefore potentially contributing the overall Lake Erie Walleye population. Future research aims to examine the additional spawning locations of Walleye in the Central Basin of Lake Erie.
DOI: 10.6084/m9.figshare.29649598.v1
title: Evidence of nearshore in-lake spawning Walleye in the central basin of Lake Erie

description: Walleye <i>Sander vitreus</i> are economically and ecologically vital to Lake Erie and have multiple spawning stocks that contribute to the lakewide population. These unique Walleye stocks typically spawn in discrete spawning aggregations in riverine and shallow, open-lake reef habitats during springtime in the western, eastern, and central basins. Yet, most spawning research has been conducted in the western and eastern basins. Therefore, the goal of our study was to document evidence of Walleye utilizing a central basin nearshore reef for reproduction. We used gill nets from 20 March to 15 May 2012, on Hardy Point Reef (HPR; near Fairport Harbor, Ohio) to collect spawning Walleye. Larval light traps and egg mats were deployed to capture fertilized eggs and newly hatched larvae. We captured 281 actively spawning Walleye using overnight-set gill nets from HPR. Five fertilized Walleye eggs and two larval Walleye were captured from HPR. Our study provided evidence that successful Walleye spawning occurred at HPR in the central basin of Lake Erie. Further research should identify potential additional Walleye spawning locations in the central basin and quantify these contributions to the Lake Erie population to help facilitate lake wide management and preservation of spawning stocks. Actively spawning Walleye using overnight-set gill nets and fertilized Walleye eggs were captured at Hardy Point Reef, the first identified spawning location of Walleye in the Central Basin of Lake Erie.This paper documents evidence that Walleye are successfully spawning in the Central Basin of Lake Erie, therefore potentially contributing the overall Lake Erie Walleye population.Future research aims to examine the additional spawning locations of Walleye in the Central Basin of Lake Erie. Actively spawning Walleye using overnight-set gill nets and fertilized Walleye eggs were captured at Hardy Point Reef, the first identified spawning location of Walleye in the Central Basin of Lake Erie. This paper documents evidence that Walleye are successfully spawning in the Central Basin of Lake Erie, therefore potentially contributing the overall Lake Erie Walleye population. Future research aims to examine the additional spawning locations of Walleye in the Central Basin of Lake Erie.
DOI: 10.3535/0hv-5qa-j2e
title: Salix myrsinifolia × myrsinites x myrsinifolia ssp. myrsinifolia × myrsinites

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hv-9ld-g5v
title: Luzula campestris (L.) DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hv-lff-rfr
title: Silene latifolia subsp. alba (Mill.) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hv-r0a-s9r
title: Parnassia palustris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hv-yc1-4jn
title: Cerastium holosteoides Fr.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-181-h4h
title: Potentilla thuringiaca Bernh. ex Link

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-487-5pj
title: Luzula sudetica (Willd.) Schult.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-6cc-kb0
title: Ranunculus acris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-81l-gg8
title: Potamogeton alpinus Balb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-93y-kre
title: Comarum palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-ajn-r1w
title: Persicaria amphibia (L.) Gray

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-d77-x62
title: Potentilla argentea L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-daa-9mw
title: Oxalis dillenii Jacq.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-fya-zmh
title: Betula nana L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-l86-h7w
title: Luzula multiflora (Ehrh.) Lej.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/wzwtdkp5bv
title: Trust_Metrics_Dataset

description: Dataset for trust metrics in DER
DOI: 10.3535/0hw-qgs-z50
title: Capsella bursa-pastoris (L.) Medik.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-v4y-7cl
title: Luzula sudetica (Willd.) Schult.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hw-ycx-rfv
title: Athyrium filix-femina (L.) Roth

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-0zl-qwn
title: Asplenium trichomanes L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/wzwtdkp5bv.1
title: Trust_Metrics_Dataset

description: Dataset for trust metrics in DER
DOI: 10.3535/0hx-7wq-y2t
title: Salix triandra L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-jh8-pca
title: Malus sylvestris Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-jp4-nnm
title: Gagea lutea (L.) Ker Gawl.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-ndf-wv5
title: Deschampsia cespitosa (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-vyg-8b7
title: Luzula multiflora subsp. multiflora

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hx-zgz-31m
title: Cardamine pratensis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hy-1mc-npz
title: Geum rivale L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/hhh274hwf7.2
title: Linking functional microbial groups to soil carbon cycle multifunctionality in degraded karst forests

description: The collected research data include indicators of soil microbial communities involved in the C cycle and environmental indicators. The microbial indicators consist of species diversity, relative abundance, functional strength, and functional diversity, considering overall, rare, common, and abundant taxa separately. Based on our research hypotheses: i) soil C cycle multifunctionality will increase during the restoration process; ii) the shifts in microbial communities involved in soil C cycling will differ among abundant, common, and rare taxa across the restoration stages; and iii) the contributions of these microbial taxa to soil C cycle multifunctionality will also differ throughout the restoration chronosequence. We conducted a space-for-time sequential study across multiple restoration stages. For each stage, ten fixed plots were randomly set up, with dimensions of SB (shrubland) in both SG (secondary-growth forest) and OG (old-growth forest) systems. The results showed that the SCCM index increased significantly throughout restoration, with microbial functional traits exerting more influence than microbial diversity. Within the microbial community, functional reorganization involves a shift in functional dominance from rare to non-rare (common and abundant) taxa, indicating improved functional stability. Specifically, common taxa were the primary drivers of the enhanced SCCM, with increases in their functional diversity and strength playing a pivotal role. The concurrent recovery of plant diversity and soil properties facilitated these microbial shifts. In summary, natural restoration promotes SCCM mainly by augmenting microbial functional performance, particularly that of common taxa, a subgroup whose role in supporting soil ecological functions has historically been underestimated.
DOI: 10.3535/0hx-j9a-8fd
title: Typha latifolia L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hy-4tb-fdj
title: Carex glareosa Schkuhr ex Wahlenb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17989974
title: Wirkgefüge im digitalen Bildungsraum – Korrelationsmatrizen (FU, Indizes, Kategorien, Suchbegriffe)

description: CSV‑Korrelationsmatrizen zwischen Forschungsunterfragen, Indizes, Kategorien und Suchbegriffen als Ausgabeartefakte der Analysepipeline. Details siehe README.md.
DOI: 10.17632/xppzm3kv9g
title: Depression & Mental Health Classification

description: Is derived from a structured mental health and depression survey and contains 1,998 cleaned responses. It includes 21 demographic, lifestyle, behavioral, and psychological features, with the primary objective of supporting multi-class depression classification tasks.

Each record is labeled with one of twelve clinically motivated depression types, making the dataset particularly suitable for supervised learning, explainable AI studies, and mental health analytics.

🎯 Target Variable: Depression_Type

The target variable is numerically encoded as follows:

Code Depression Type (Academic Naming)
0 No clinically significant depression
1 Minimal / Mild depression
2 Moderate depression
3 Moderately-severe depression
4 Severe depression
5 Persistent depressive disorder (Dysthymia)
6 Seasonal affective pattern
7 Peripartum / Postpartum depression
8 Bipolar-related depressive episode
9 Situational / Reactive depression
10 Psychotic depression
11 Other specified depressive disorder

These class names are aligned with commonly recognized categories in clinical and academic research and are suitable for use directly in scholarly publications.

🧩 Feature Variables and Encoding Scheme

All categorical variables were numerically encoded to support statistical analysis and machine learning models. The encodings follow logical ordinal or nominal mappings, as outlined below:

Gender:
0 = Male, 1 = Female

Education_Level:
0 = Primary or below
1 = Secondary / High school
2 = Undergraduate
3 = Postgraduate or higher

Employment_Status:
0 = Unemployed
1 = Student
2 = Employed
3 = Self-employed
4 = Other

Symptoms:
Encoded numerically to represent different symptom clusters (e.g., sleep disturbance, appetite loss, etc.)

Low_Energy:
0 = No, 1 = Yes, 2 = Occasionally

Low_SelfEsteem:
0 = No, 1 = Yes, 2 = Occasionally

Search_Depression_Online:
0 = No, 1 = Yes

Worsening_Depression:
0 = No, 1 = Yes

Overeating Level:
0 = None
1–4 = Mild
5–8 = Moderate
9–12 = Severe
(Grouped for interpretability)

Eating Frequency (per day):
0 = ≤2 meals
1 = 3 meals
2 = 4–5 meals
3 = &gt;5 meals

SocialMedia_WhileEating:
0 = Never
1 = Rarely
2 = Often
3 = Always

Self_Harm:
0 = No history
1 = History of self-harm

Mental_Health_Support:
0 = No
1 = Yes

Suicide_Attempts:
0 = None
1 = Once
2 = Twice
3 = Three or more

All variables were checked, and no missing values remain after preprocessing.

⚙️ Data Preprocessing & Normalization

Removed non-informative identifiers and irrelevant text fields

Verified zero missing values across all 21 features

Standardized continuous variables (e.g., Depression_Score, Sleep_Hours) using Z-score normalization

Split data into 80% training and 20% testing


Feature Selection

Using the ANOVA F-test, the following top features were identified as most discriminative:

Education_Level

Employment_Status

Symptoms

Low_Energy

Search_Depression_Online

Worsening_Depression

Eating Frequency

SocialMedia_WhileEating

Nervous_Level

Mental_Health_Support
DOI: 10.3535/0hy-e3f-6lw
title: Trifolium spadiceum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17989973
title: Wirkgefüge im digitalen Bildungsraum – Korrelationsmatrizen (FU, Indizes, Kategorien, Suchbegriffe)

description: CSV‑Korrelationsmatrizen zwischen Forschungsunterfragen, Indizes, Kategorien und Suchbegriffen als Ausgabeartefakte der Analysepipeline. Details siehe README.md.
DOI: 10.3535/0hy-glv-0pg
title: Stuckenia filiformis (Pers.) Börner

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hy-m5r-7yk
title: Lathyrus linifolius (Reichard) Bässler

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/xppzm3kv9g.2
title: Depression & Mental Health Classification

description: Is derived from a structured mental health and depression survey and contains 1,998 cleaned responses. It includes 21 demographic, lifestyle, behavioral, and psychological features, with the primary objective of supporting multi-class depression classification tasks.

Each record is labeled with one of twelve clinically motivated depression types, making the dataset particularly suitable for supervised learning, explainable AI studies, and mental health analytics.

🎯 Target Variable: Depression_Type

The target variable is numerically encoded as follows:

Code Depression Type (Academic Naming)
0 No clinically significant depression
1 Minimal / Mild depression
2 Moderate depression
3 Moderately-severe depression
4 Severe depression
5 Persistent depressive disorder (Dysthymia)
6 Seasonal affective pattern
7 Peripartum / Postpartum depression
8 Bipolar-related depressive episode
9 Situational / Reactive depression
10 Psychotic depression
11 Other specified depressive disorder

These class names are aligned with commonly recognized categories in clinical and academic research and are suitable for use directly in scholarly publications.

🧩 Feature Variables and Encoding Scheme

All categorical variables were numerically encoded to support statistical analysis and machine learning models. The encodings follow logical ordinal or nominal mappings, as outlined below:

Gender:
0 = Male, 1 = Female

Education_Level:
0 = Primary or below
1 = Secondary / High school
2 = Undergraduate
3 = Postgraduate or higher

Employment_Status:
0 = Unemployed
1 = Student
2 = Employed
3 = Self-employed
4 = Other

Symptoms:
Encoded numerically to represent different symptom clusters (e.g., sleep disturbance, appetite loss, etc.)

Low_Energy:
0 = No, 1 = Yes, 2 = Occasionally

Low_SelfEsteem:
0 = No, 1 = Yes, 2 = Occasionally

Search_Depression_Online:
0 = No, 1 = Yes

Worsening_Depression:
0 = No, 1 = Yes

Overeating Level:
0 = None
1–4 = Mild
5–8 = Moderate
9–12 = Severe
(Grouped for interpretability)

Eating Frequency (per day):
0 = ≤2 meals
1 = 3 meals
2 = 4–5 meals
3 = &gt;5 meals

SocialMedia_WhileEating:
0 = Never
1 = Rarely
2 = Often
3 = Always

Self_Harm:
0 = No history
1 = History of self-harm

Mental_Health_Support:
0 = No
1 = Yes

Suicide_Attempts:
0 = None
1 = Once
2 = Twice
3 = Three or more

All variables were checked, and no missing values remain after preprocessing.

⚙️ Data Preprocessing & Normalization

Removed non-informative identifiers and irrelevant text fields

Verified zero missing values across all 21 features

Standardized continuous variables (e.g., Depression_Score, Sleep_Hours) using Z-score normalization

Split data into 80% training and 20% testing


Feature Selection

Using the ANOVA F-test, the following top features were identified as most discriminative:

Education_Level

Employment_Status

Symptoms

Low_Energy

Search_Depression_Online

Worsening_Depression

Eating Frequency

SocialMedia_WhileEating

Nervous_Level

Mental_Health_Support
DOI: 10.3535/0hy-nll-2bg
title: Capsella bursa-pastoris (L.) Medik.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hy-y6w-p5n
title: Alchemilla acutiloba Opiz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hz-39g-vxc
title: Dryopteris expansa (C. Presl) Fraser-Jenk. & Jermy

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hz-3dj-lwl
title: Plantae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hz-3t5-7yx
title: Bistorta officinalis Raf.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hz-9yc-15q
title: Carex oederi var. oederi

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.